comparative analysis of the performance of public...
TRANSCRIPT
CHAPTER VI
COMPARATIVE ANALYSIS OF THE PERFORMANCE OF PUBLIC AND PRIVATE SECTOR GENERAL INSURERS
In a period of half a centaury, the insurance sector in the country has come to a full
circle, from being an open competitive market to full nationalization and then back again to a liberalized market, in which private players and public sector companies are on a level playing field. The opening up of the sector to the private players witnessed the introduction of a number of new products deserving the attention of the customers. Privatization aims at providing benefits of the growth of the industry to the society by providing better customer service and variety of quality products at reasonable prices. The entry of so many companies in this sector was likely to affect the performance of the public sector companies. Thus, the public sector insurers, which never faced competition earlier, now has to compete with the private players which are coming up with different types of innovative policies and other strategic plans. Hence after a decade to Privatization, it is imperative to evaluate the performance of both the sectors to find out which sector is leading and also to know whether the public sector is still marinating its earlier position.
The analysis of the performance of the public and private insurers has been done in the following ways:
I. Class Wise/ Segment Wise Analysis II. Overall/ Combined Analysis
I. CLASS WISE ANALYSIS/SEGMENT WISE ANALYSIS
The “performance” of the insurers has been evaluated under the following parameters: Efficiency Evaluation Productivity Analysis
Efficiency evaluation is becoming more and more considerable in companies’s daily management operations. By looking at the efficiency evaluation, the enterprises can be aware of their specific position, and find out the gap between them and their competitors, so as to determine how they could improve the quality of products on practical and scientific aspects. Efficiency estimation techniques can be categorized into parametric and non-parametric
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methods. The parametric approaches require assumptions about the particular form of cost or profit function and the distribution of efficiency. The non-parametric approaches, on the other hand, require no such specification of the functional form. DEA is frequently used to measure the efficiency of a company. It is a non-parametric multiple input-output efficiency technique that measures the relative efficiency of decision making units or DMUs using a linear programming model. It is non-parametric because it requires no assumption on the shape or parameters of the underlying production. It provides a benchmark for best practice technology based on the experience of those firms in the sample.
Indian General Insurance Sector can be broadly classified into three “classes/segments”: 1. Fire Insurance 2. Marine Insurance 3. Miscellaneous Insurance
EFFICIENCY EVALAUTION OF FIRE INSURANCE SEGMENT
Section 2 of the Indian Insurance Act, 1938 defines fire insurance business as “the business of effecting, otherwise than incidentally to some other class of insurance business, contract of insurance against loss by or incidental to fire or other occurrence customarily included among the risks insured against in fire insurance policies”.
While specifying all the models under the study the condition has been taken care of that the number of Decision Making Unites should be three times the sum of number of inputs and outputs (Nunamaker, 1985). In order to evaluate the efficiency of the fire insurance segment two models have been used.
Model I
Specification of the first model: The specification of the inputs and outputs for the first model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular model has been the shareholders funds comprising of the share capital and reserves and surpluses. The second input has been the operating expenses relating to the fire insurance segment.
Output: Net Premium Income from the fire insurance business has been selected as the output indictor.
This particular model would depict the extent of efficiency of the insurers in utilizing the above mentioned inputs in the production of the net premium income generated from the fire insurance segment.
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Table 6.1
Efficiency Analysis of the Insurers
2002-03 2003-04
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia 1 1 1 Constant NewIndia .638 1 .638 Decreasing
Oriental 1 1 1 Constant Oriental .953 .956 .997 Decreasing
United .959 .983 .975 Decreasing United .756 .937 .808 Decreasing
Royal .408 .752 .543 Increasing Royal .430 .446 .964 Increasing
Bajaj .538 1 .538 Increasing Bajaj 1 1 1 Constant
TATA .364 1 .364 Increasing TATA .279 1 .279 Increasing
Reliance .218 .422 .518 Increasing Reliance .331 .341 .970 Increasing
IFFCO .401 1 .401 Increasing IFFCO .932 1 .932 Increasing
ICICI .378 .905 .417 Increasing ICICI .546 .557 .979 Increasing
2004-05 2005-06
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant
Oriental .945 .950 .995 Increasing Oriental .866 .868 .998 Increasing
United .820 .896 .915 Decreasing United .687 .757 .908 Decreasing
Royal .704 1 .704 Increasing Royal .605 1 .605 Increasing
Bajaj 1 1 1 Constant Bajaj 1 1 1 Constant
TATA .402 1 .402 Increasing TATA .327 .395 .827 Increasing
Reliance .589 .895 .657 Increasing Reliance .754 1 .754 Increasing
IFFCO .707 1 .707 Increasing IFFCO .559 .583 .958 Increasing
ICICI .451 .481 .939 Decreasing ICICI .287 .288 .997 Decreasing
2006-07 2007-08
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National .913 1 .913 Decreasing
NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant
Oriental .915 .925 .989 Increasing Oriental .843 .949 .889 Decreasing
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United .812 .862 .942 Decreasing United .827 .885 .935 Decreasing
Royal .865 1 .865 Increasing Royal .625 1 .625 Increasing
Bajaj 1 1 1 Constant Bajaj 1 1 1 Constant
TATA .396 .546 .725 Increasing TATA .401 1 .401 Increasing
Reliance .752 1 .752 Increasing Reliance .555 .990 .560 Increasing
IFFCO .765 .785 .974 Increasing IFFCO 1 1 1 Constant
ICICI .355 .359 .988 Increasing ICICI .508 .581 .876 Decreasing
2008-09 2009-10
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia 1 1 1 Constant NewIndia .986 1 .986 Decreasing
Oriental .872 .879 .991 Increasing Oriental .920 .977 .941 Decreasing
United .854 .869 .982 Increasing United .931 .933 .997 Decreasing
Royal .384 1 .384 Increasing Royal .507 1 .507 Increasing
Bajaj .804 .950 .846 Increasing Bajaj .874 .914 .956 Increasing
TATA .419 .652 .643 Increasing TATA .502 .696 .722 Increasing
Reliance .732 1 .732 Increasing Reliance .943 1 .943 Increasing
IFFCO .473 .669 .708 Increasing IFFCO .514 .650 .791 Increasing
ICICI .422 .448 .942 Increasing ICICI .592 .598 .990 Increasing
2010-11 2011-12
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia .994 1 .994 Decreasing NewIndia .920 1 .920 Decreasing
Oriental .853 .922 .925 Decreasing Oriental .864 .910 .949 Decreasing
United .708 .710 .997 Decreasing United .872 .896 .973 Decreasing
Royal .461 1 .461 Increasing Royal .448 1 .448 Increasing
Bajaj .756 .804 .939 Increasing Bajaj .670 .705 .950 Increasing
TATA .468 .770 .608 Increasing TATA .442 .667 .663 Increasing
Reliance .786 1 .786 Increasing Reliance .690 1 .690 Increasing
IFFCO .487 .856 .569 Increasing IFFCO .442 .772 .572 Increasing
ICICI .751 .780 .963 Increasing ICICI .588 .617 .952 Increasing (Note: Author’s Own Calculations)
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The above table analyzes that during all the years under study one or two public
sector companies have been found on the frontier. Among the private sector, Bajaj
Allianz has been reporting the efficiency score of 1 for 5 years out of 10 years of study
i.e. 2003-04, 2004-05, 2005-06, 2006-07 and 2007-08. Other than Bajaj, IFFCO has also
shown the efficiency of 1 for single year out of 10 years. The rest of the Private insurers
have been showing the increasing returns to scales in the rest of the years except ICICI
which have been indicating the Decreasing returns to scale in some of the years under
consideration. Examining the public sector it could be concluded that National Insurance
Company has been the top most public sector insurer which has achieved the maximum
efficiency level of 1 during the period 2002-03, 2003-04, 2004-05, 2005-06, 2006-07,
2008-09, 2009-10, 2010-11 and 2011-12. New India Assurance Company has also
enjoyed the Constant Returns to scales in 6 years out of 10 years of study. Oriental
Insurance Company has been on frontier for single year out of 10 years. United India
Insurance Company has not joined the list of the bench markers in any of the years.
Moreover the public sector insurers have recorded the decreasing returns to scale in most
of the years under study, which is an indication that after a decade to liberalization the
private sector has made its presence realized in the insurance market.
Table 6.2
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 0 3 1 4 2002-03 Private 6 0 0 6 Public 0 1 3 4 2003-04 Private 5 1 0 6 Public 1 2 1 4 2004-05 Private 4 1 1 6 Public 1 2 1 4 2005-06 Private 4 1 1 6 Public 1 2 1 4 2006-07 Private 5 1 0 6
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Public 0 1 3 4 2007-08 Private 3 2 1 6 Public 2 2 0 4 2008-09 Private 6 0 0 6 Public 0 1 3 4 2009-10 Private 6 0 0 6 Public 0 1 3 4 2010-11 Private 6 0 0 6 Public 0 1 3 4 2011-12 Private 6 0 0 6
(Source: Author’s Own Calculations)
The above table exhibits that in the year 2008-09 the maximum number of insurer
have marked the increasing returns to scale i.e. 8 insurers (comprising of 2 public insurers
and 6 private insurers) out of total 10 insurers have depicted that the increase in their
output has been more than the proportional change in their input. In the years 2002-03,
2004-05, 2005-06, 2006-07 and 2007-08 the maximum numbers of insurers have enjoyed
the Constant returns to scale and it is the year 2003-04, 2007-08, 2009-10, 2010-11 and
2011-12 when 3 insurers have exhibited decreasing returns to scale i.e. the increase in
their output has been less than the proportional increase in their input. In these said years
3 public sector insurers have shown the DRS.
Table 6.3
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE Public .989 .995 .993 2002-03 Private .384 .846 .463 Public .836 .973 .860 2003-04 Private .586 .724 .854 Public .941 .961 .977 2004-05 Private .642 .896 .734 Public .889 .906 .976 2005-06 Private .589 .711 .856
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Public .931 .946 .982 2006-07 Private .689 .781 .884 Public .895 .958 .934 2007-08 Private .681 .928 .743 Public .931 .937 .993 2008-09 Private .539 .786 .709 Public .959 .977 .981 2009-10 Private .655 .809 .818 Public .889 .908 .979 2010-11 Private .618 .868 .721 Public .914 .951 .960 2011-12 Private .546 .793 .712
(Note: Author’s Own Calculations)
Above table states the mean of TE, mean of PTE and mean of SE of both public
sector insurers and private sector insurers. The mean of TE of public sector has been
depicting decreasing trends and in the year 2011-12 it has been marked at .914.
Analyzing the private sector it could be said that the mean TE of this sector has been
increasing and has been recorded with the value .546 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.951 in 2011-12. Same is the case with the private sector that after a slight increase and
decrease in the value of mean PTE value of private sector, the value of the mean of the
PTE has been marked as .793 in 2011-12 .The mean of the SE depicts that the public
sector has been showing decrease over the time and the private sector has been depicting
the increasing trends over the study as its mean of SE has been .463 in 2002-03 which has
gradually increased over the time and has reached to .712 in 2011-12. The mean TE of
public sector has reduced due to the decrease in the mean of the SE as well as the mean
of PTE of this sector. The results of the Private sector emphasizes that the increase in the
mean of TE has been due to the increase in the mean of the Scale Efficiency whereas the
value of the mean of Pure Technical Efficiency has decreased a little. The above analysis
states that though the technical efficiency of Private Sector has improved over the time,
the TE of public sector has been higher i.e. 91.4% as compared to private sector i.e.
54.6% which states that public sector has been more efficient as compared to private
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sector in terms of efficiency in fire insurance business. The findings of this model depict
that public sector has used their inputs in more efficient manner in the production of net
premium income from the fire insurance segment as compared to the private sector.
Table 6.4
Overall Analysis
Years Insurers Mean of TE Mean of PTE Mean of SE
2002-03 All Insurers .627 .906 .676
2003-04 All Insurers .686 .824 .857
2004-05 All Insurers .762 .923 .832
2005-06 All Insurers .709 .789 .905
2006-07 All Insurers .786 .848 .924
2007-08 All Insurers .767 .940 .820
2008-09 All Insurers .696 .847 .823
2009-10 All Insurers .777 .877 .883
2010-11 All Insurers .726 .884 .824
2011-12 All Insurers .693 .857 .812 (Note: Author’s Own Calculations)
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE though PTE has decreased over the time. For
the purpose of overall analysis the mean efficiency scores have been classified into 0-
0.3, 0.3-0.6, 0.6-0.9 and 0.9-1 and thereafter the comparison of all the insurers have been
made with respect to their efficiency scores in order to find out the range within which
they lie. By following the same it has been found that in all the years the overall
efficiency score lies in the higher interval of 0.6-0.9 and 0.9-1. This might be because all
the insurers are operating on increasing return to scale or it can be contributed by PTE
and SE. Moreover it has been shown in table that the mean of TE increased from 0.627 in
the year 2002-03 to 0.693 in the 2011-12. It has also been found that all the insurers are
also better at SE, while comparing the initial year with the current year. But the PTE of
the insurers has decreased from .906 in 2002-03 to .857 in 2011-12. Thus it could be
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concluded that all the general insurers should lay more stress on improving their
managerial efficiencies.
Model II
Specification of the second model: The specification of the inputs and outputs for the
second model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular
model has been the shareholders funds comprising of the share capital and reserves and
surpluses. The second input has been the operating expenses relating to the fire insurance
segment.
Output: Net Claims Incurred from the fire insurance business has been selected as the
output indictor.
This particular model would show the level of efficiency of the Indian General
Insurers in the utilization of the above mentioned inputs in the maximization of the net
claims incurred from the fire insurance segment.
Table 6.5
Efficiency Analysis of the Insurers
2002-03 2003-04 Company TE PTE SE RtoS Company TE PTE SE RtoS National .872 .893 .976 Increasing National 1 1 1 Constant NewIndia 1 1 1 Constant NewIndia .937 1 .937 DecreasingOriental 1 1 1 Constant Oriental 1 1 1 Constant United .981 .992 .989 Increasing United .790 .816 .968 DecreasingRoyal .162 .465 .349 Increasing Royal .408 .474 .861 Increasing Bajaj .181 1 .181 Increasing Bajaj 1 1 1 Constant TATA .120 1 .120 Increasing TATA .439 1 .439 Increasing Reliance .317 1 .317 Increasing Reliance .70 .799 .876 Increasing IFFCO .180 1 .180 Increasing IFFCO 1 1 1 Constant ICICI .091 .450 .202 Increasing ICICI .403 .417 .968 Decreasing
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2004-05 2005-06 Company TE PTE SE RtoS Company TE PTE SE RtoS National 1 1 1 Constant National 1 1 1 Constant NewIndia .929 1 .929 Decreasing NewIndia .917 1 .917 DecreasingOriental 1 1 1 Constant Oriental .818 .849 .963 DecreasingUnited .668 .786 .850 Decreasing United .435 .494 .882 DecreasingRoyal .663 1 .663 Increasing Royal .299 1 .299 Increasing Bajaj 1 1 1 Constant Bajaj .972 1 .972 Increasing TATA .380 1 .380 Increasing TATA .301 .325 .924 Increasing Reliance .587 .946 .620 Increasing Reliance 1 1 1 Constant IFFCO .699 1 .699 Increasing IFFCO .193 .206 .939 Increasing ICICI .412 .432 .955 Decreasing ICICI .205 .209 .983 Increasing 2006-07 2007-08 Company TE PTE SE RtoS Company TE PTE SE RtoS National 1 1 1 Constant National 1 1 1 Constant NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant Oriental .729 .737 .990 Increasing Oriental 1 1 1 Constant United .921 1 .921 Decreasing United .788 .975 .991 DecreasingRoyal .263 1 .263 Increasing Royal .335 1 .335 Increasing Bajaj .862 1 .862 Increasing Bajaj .550 .584 .942 Increasing TATA .213 .377 .564 Increasing TATA .174 1 .174 Increasing Reliance .746 1 .746 Increasing Reliance .467 1 .467 Increasing IFFCO .606 .814 .745 Increasing IFFCO .887 1 .887 Increasing ICICI .216 .228 .947 Increasing ICICI .343 .347 .988 Increasing 2008-09 2009-10 Company TE PTE SE RtoS Company TE PTE SE RtoS National .918 .958 .959 Increasing National .794 .818 .971 Increasing NewIndia .604 1 .604 Decreasing NewIndia 1 1 1 Constant Oriental 1 1 1 Constant Oriental 1 1 1 Constant United .623 .730 .853 Decreasing United .473 .475 .996 Increasing Royal .228 1 .228 Increasing Royal .253 1 .253 Increasing Bajaj .588 .735 .799 Increasing Bajaj .584 .717 .814 Increasing TATA .218 .394 .553 Increasing TATA .301 .561 .536 Increasing
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Reliance .516 .901 .573 Increasing Reliance .928 1 .928 Increasing IFFCO .525 .799 .657 Increasing IFFCO .605 .968 .624 Increasing ICICI .442 .465 .949 Increasing ICICI .472 .480 .984 Increasing 2010-11 2011-12 Company TE PTE SE RtoS Company TE PTE SE RtoS National .740 .774 .956 Increasing National .966 1 .966 Increasing NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant Oriental 1 1 1 Constant Oriental 1 1 1 Constant United .454 .459 .988 Increasing United .596 .607 .983 Increasing Royal .164 1 .164 Increasing Royal .192 1 .192 Increasing Bajaj .407 .529 .769 Increasing Bajaj .302 .399 .758 Increasing TATA .344 .939 .366 Increasing TATA .239 .481 .496 Increasing Reliance .521 1 .521 Increasing Reliance .546 1 .546 Increasing IFFCO .577 1 .577 Increasing IFFCO .331 .739 .448 Increasing ICICI .778 .877 .887 Increasing ICICI .420 .463 .906 Increasing (Note: Author’s Own Calculations)
The above table states that during all the years under study one or two public
sector companies have been found on the frontier. Among the private sector, Bajaj
Allianz has been reporting the efficiency score of 1 for 2 years out of 10 years of study
i.e. 2003-04 and 2004-05. The results further exhibit that Reliance and IFFCO have
enjoyed the constant returns to scales for single year out of total time period. The rest of
the Private insurers have been showing the increasing returns to scales in all the years
except ICICI which has been indicating the Decreasing returns to scale in some of the
years under consideration. Examining the public sector it could be summarized that
Oriental Insurance Company has been the only public sector insurer which has achieved
the maximum efficiency level of 1 during the period 2002-02, 2003-04, 2004-05, 2007-
08, 2008-09, 2009-10, 2010-11 and 2011-12. The second and third position in terms of
being on frontier has been enjoyed by both New India Assurance Company and National
Insurance Company. United India Insurance Company has not joined the list of the bench
markers in any of the years. Moreover when the public sector insurers are not on frontier
these have shown the decreasing returns to scale in most of the years under study, which
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is an indication that reforms in the Indian General Insurance Sector has affected the
workings of the public sector general insurers.
Table 6.6
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 2 2 0 4 2002-03
Private 6 0 0 6
Public 0 2 2 4 2003-04
Private 3 2 1 6
Public 0 2 2 4 2004-05
Private 4 1 1 6
Public 0 1 3 4 2005-06
Private 5 1 0 6
Public 1 2 1 4 2006-07
Private 6 0 0 6
Public 0 3 1 4 2007-08
Private 6 0 0 6
Public 1 1 2 4 2008-09
Private 6 0 0 6
Public 0 2 2 4 2009-10
Private 6 0 0 6
Public 0 2 2 4 2010-11
Private 6 0 0 6
Public 2 2 0 4 2011-12
Private 6 0 0 6 (Source: Author’s Own Calculations)
The above table exhibits that in the years 2002-03 and 2011-12 the maximum
number of insurer have marked the increasing returns to scale i.e. 8 insurers (comprising
of 2 public insurers and 6 private insurers) out of total 10 insurers have depicted that the
increase in their output has been more than the proportional change in their input. In the
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year 2003-04 the maximum numbers of insurers have enjoyed the Constant returns to
scale and it is the year 2003-04, 2004-05 and 2005-06 when 3 insurers have exhibited
decreasing returns to scale i.e. the increase in their output has been less than the
proportional increase in their input.
Table 6.7
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE
Public .963 .971 .991 2002-03
Private .175 .819 .224
Public .931 .954 .976 2003-04
Private .658 .781 .857
Public .899 .946 .944 2004-05
Private .623 .896 .719
Public .792 .835 .940 2005-06
Private .495 .623 .852
Public .912 .934 .977 2006-07
Private .484 .736 .687
Public .947 .993 .997 2007-08
Private .459 .821 .632
Public .786 .922 .854 2008-09
Private .419 .715 .611
Public .816 .823 .991 2009-10
Private .523 .787 .689
Public .798 .808 .986 2010-11
Private .465 .890 .547
Public .890 .901 .987 2011-12
Private .338 .680 .557 (Note: Author’s Own Calculations)
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The above table presents the mean of TE, mean of PTE and mean of SE of
both public sector insurers and private sector insurers. The mean of TE of public
sector has been depicting decreasing trends and in the year 2011-12 it has been
marked at .890. Analyzing the private sector it could be said that the mean TE of this
sector has been increasing while comparing the initial year with the current year and
has been recorded with the value of .338 in 2011-12. After a slight increase and
decrease in the values, the mean of PTE of public sector insurers has been marked at
.680 in 2011-12. Same is the case with the private sector that after a slight increase
and increase in the value of mean PTE value of private sector, the value of the mean
of the PTE has been marked as .680 in 2011-12. After a slight change in the value of
SE of public sector the value has been recorded as .987 in 2011-12. The mean of the
SE depicts that the private sector has been depicting the increasing trends over the
study as its mean of SE has been .224 in 2002-03 which has gradually increased over
the time and has reached to .557 in 2011-12. The mean TE of public sector has
reduced due to the decrease in the mean of PTE of this sector whereas the SE of the
public insurers has remained same. The results of the Private sector emphasis that the
increase in the mean of TE has been due to the increase in the mean of the Scale
Efficiency over the study whereas the value of the mean of Pure Technical Efficiency
has decreased in 2011-12. The above results state that no doubt the technical
efficiency of Private Sector has improved over the time and the TE of public sector
has decreased over the period but still it is comparatively higher than the value of the
private sector which shows that public sector has been more efficient as compared to
private sector in terms of efficiency in fire insurance business. The findings of this
model depict that public sector has used their inputs in more efficient manner in the
production of net claims incurred from the fire insurance segment as compared to
their private counterparts.
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Table 6.8
Overall Analysis
Years Insurers Mean of TE Mean of PTE Mean of SE
2002-03 All Insurers .490 .880 .532
2003-04 All Insurers .768 .851 .905
2004-05 All Insurers .734 .916 .810
2005-06 All Insurers .614 .708 .888
2006-07 All Insurers .656 .816 .804
2007-08 All Insurers .654 .873 .778
2008-09 All Insurers .566 .798 .718
2009-10 All Insurers .639 .802 .809
2010-11 All Insurers .598 .858 .723
2011-12 All Insurers .559 .769 .729 (Note: Author’s Own Calculations)
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE though PTE has decreased over the time. For
the purpose of overall analysis the mean efficiency scores has been divided into 0- 0.3,
0.3-0.6, 0.6-0.9 and 0.9-1 and thereafter the comparison of all the insurers have been
made with respect to their efficiency scores in order to find out the range within which
they lie. By following the same it has been found that in all the years the overall
efficiency score lies in the higher interval of 0.6-0.9 and 0.9 to 1. This might be because
all the insurers are operating on increasing return to scale or it can be contributed by PTE
and SE. Moreover it has been shown in table that the mean of TE increased from 0.490 in
the year 2002-03 to 0.559 in the 2011-12. It has also been found that all the insurers are
also better at SE, while comparing the initial year with the current year. But the PTE of
the insurers has slightly decreased from .880 in 2002-03 to .769 in 2011-12. Thus it could
be concluded that all the general insurers should lay more stress on improving their
managerial efficiencies.
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EFFICIENCY EVALAUTION OF MARINE INSURANCE BUSINESS
Marine insurance is an important element of general insurance. It essentially
provides cover from loss suffered due to marine perils. Marine insurance extends beyond
marine perils to provide cover for loss incurred during shipment of cargo over water
bodies like rivers, lakes and inland waterways. It also covers ships under construction,
docked for repairs, stranded at ports and ships transporting consignment. In order to
evaluate the efficiency of the marine insurance segment two models have been used.
Model I
Specification of the model: The specification of the inputs and outputs for the first
model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular
model has been the shareholders funds comprising of the share capital and reserves and
surpluses. The second input has been the operating expenses relating to the marine
insurance segment.
Output: Net Premium Income from the marine insurance business has been selected as
the output indictor for this model.
This particular model would depict the extent of efficiency of the insurers in
utilizing the above mentioned inputs in the production of the net premium income
generated from the marine insurance segment.
Table 6.9
Efficiency Analysis of the Insurers
2002-03 2003-04
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia .935 1 .935 Decreasing NewIndia .738 1 .738 Decreasing
Oriental 1 1 1 Constant Oriental .858 1 .858 Decreasing
United .680 .884 .769 Decreasing United .573 .865 .748 Decreasing
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Royal .517 .745 .694 Increasing Royal .618 .827 .748 Increasing
Bajaj .754 1 .754 Increasing Bajaj .869 1 .869 Increasing
TATA .741 1 .741 Increasing TATA 1 1 1 Constant
Reliance .218 .275 .795 Increasing Reliance .260 1 .260 Increasing
IFFCO .571 1 .571 Increasing IFFCO 1 1 1 Constant
ICICI .505 .783 .645 Increasing ICICI .438 .461 .951 Increasing
2004-05 2005-06
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .830 1 .830 Decreasing National .906 1 .906 Decreasing
NewIndia .939 1 .939 Decreasing NewIndia .682 1 .682 Decreasing
Oriental .788 .954 .826 Decreasing Oriental .847 1 .847 Decreasing
United .607 .824 .737 Decreasing United .517 .756 .683 Decreasing
Royal .909 1 .909 Increasing Royal 1 1 1 Constant
Bajaj 1 1 1 Constant Bajaj .889 .931 .955 Decreasing
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .483 1 .483 Increasing Reliance .495 1 .495 Increasing
IFFCO .884 1 .884 Increasing IFFCO .952 1 .952 Decreasing
ICICI .417 .510 .818 Decreasing ICICI .175 .190 .921 Decreasing
2006-07 2007-08
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant
Oriental 1 1 1 Constant Oriental .905 1 .905 Decreasing
United .619 .625 .991 Decreasing United .787 .874 .901 Decreasing
Royal .406 1 .406 Increasing Royal .430 1 .430 Increasing
Bajaj .795 .821 .967 Increasing Bajaj .902 .917 .983 Increasing
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .830 1 .830 Increasing Reliance .585 .803 .728 Increasing
IFFCO .874 .967 .904 Decreasing IFFCO 1 1 1 Constant
ICICI .220 .220 1 Constant ICICI .163 .187 .874 Decreasing
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2008-09 2009-10
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .997 1 .997 Decreasing National .921 .925 .996 Decreasing
NewIndia .834 1 .834 Decreasing NewIndia .750 .912 .822 Decreasing
Oriental .938 1 .938 Decreasing Oriental 1 1 1 Constant
United .934 1 .934 Decreasing United 1 1 1 Constant
Royal .761 1 .761 Increasing Royal .818 1 .818 Increasing
Bajaj 1 1 1 Constant Bajaj 1 1 1 Constant
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .707 .771 .916 Increasing Reliance .830 .957 .867 Increasing
IFFCO .791 .802 .986 Increasing IFFCO .598 .618 .967 Increasing
ICICI .191 .197 .970 Decreasing ICICI .390 .390 1 Constant
2010-11 2011-12
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .772 .989 .780 Decreasing National .861 .957 .899 Decreasing
NewIndia .735 1 .735 Decreasing NewIndia .688 1 .688 Decreasing
Oriental .613 1 .613 Decreasing Oriental .792 1 .792 Decreasing
United .610 .926 .658 Decreasing United .826 1 .826 Decreasing
Royal .762 1 .762 Increasing Royal .816 1 .816 Increasing
Bajaj .828 .848 .976 Increasing Bajaj .822 .839 .980 Increasing
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .611 .774 .789 Increasing Reliance .738 1 .738 Increasing
IFFCO .388 .391 .992 Increasing IFFCO .404 .408 .991 Increasing
ICICI .410 .411 .998 Increasing ICICI .375 .380 .989 Decreasing(Note: Author’s Own Calculations)
The above table depicts that during all the years under study all the public sector companies have either been enjoying the constant returns to scales or have been depicting the decreasing returns. Moreover one or two private sector insurers have been on frontier in all years under study except in 2002-03. Among the private sector, TATA AIG has been reporting the efficiency score of 1 for 9 years out of 10 years of study i.e. 2003-04, 2004-05, 2005-06, 2006-07, 2007-08, 2008-09, 2009-10, 2010-11 and 2011-12. Bajaj has
213
shown the efficiency of 1 for 3 years out of 10 years. IFFCO and ICICI have been on the frontier for 2 years only. Royal Sundram has been showing the efficiency of 1 for single year i.e. in the year 2005-06. The Reliance has not been on the frontier in any of the years. Examining the public sector it could be concluded that National Insurance Company has been the top most public sector insurer which has achieved the maximum efficiency level of 1 during the period 2002-03, 2003-04, 2006-07 and 2007-08. Oriental Insurance Company has also enjoyed the Constant Returns to scales in 3 years out of total time period of study. New India Insurance Company has been on frontier for 2 years only. United India Insurance Company has joined the list of the bench markers for a single year i.e. 2009-10.
Table 6.10
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 0 2 2 4 2002-03 Private 6 0 0 6 Public 0 1 3 4 2003-04 Private 4 2 0 6 Public 0 0 4 4 2004-05 Private 3 2 1 6 Public 0 0 4 4 2005-06 Private 1 2 3 6 Public 0 3 1 4 2006-07 Private 3 2 1 6 Public 0 2 2 4 2007-08 Private 3 2 1 6 Public 0 0 4 4 2008-09 Private 3 2 1 6 Public 0 2 2 4 2009-10 Private 3 3 0 6 Public 0 0 4 4 2010-11 Private 5 1 0 6 Public 0 0 4 4 2011-12 Private 4 1 1 6
(Source: Author’s Own Calculations)
214
The above table states that in the year 2002-03 the maximum number of insurer
have marked the increasing returns to scale i.e. 6 insurers (comprising of 6 private
insurers) out of total 10 insurers have depicted that the increase in their output has been
more than the proportional change in their input. In the years 2006-07 and 2009-10 the
maximum numbers of insurers have enjoyed the Constant returns to scale and it is the
year 2005-06 when 7 insurers have exhibited decreasing returns to scale i.e. the increase
in their output has been less than the proportional increase in their input. In these said
years 4 public sector insurers and 3 private sector insurers have shown the DRS.
Table 6.11
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE Public .903 .971 .926 2002-03 Private .551 .80 .70 Public .792 .966 .836 2003-04 Private .697 .881 .804 Public .791 .944 .833 2004-05 Private .782 .918 .849 Public .738 .939 .779 2005-06 Private .751 .853 .887 Public .904 .906 .997 2006-07 Private .687 .834 .851 Public .923 .968 .951 2007-08 Private .68 .817 .835 Public .925 1 .925 2008-09 Private .741 .795 .938 Public .917 .959 .954 2009-10 Private .772 .827 .942 Public .682 .978 .696 2010-11 Private .667 .737 .919 Public .791 .989 .801 2011-12 Private .692 .771 .919
(Note: Author’s Own Calculations)
215
Above table shows the mean of TE, mean of PTE and mean of SE of both public
sector insurers and private sector insurers. The mean of TE of public sector has been
depicting decreasing trends and in the year 2011-12 it has been marked at .791.
Analyzing the private sector it could be said that the mean TE of this sector has been
increasing and has been recorded with the value .692 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.989 in 2011-12. Same is the case with the private sector that after a slight increase and
decrease in the value of mean of PTE the value of the mean of the PTE has been marked
as .771 in 2011-12.The mean of the SE depicts that the public sector has been showing
decrease over the time and the private sector has been depicting the increasing trends
over the study as its mean of SE has been .70 in 2002-03 which has gradually increased
over the time and has reached to .919 in 2011-12. The mean TE of public sector has
reduced due to the decrease in the mean of the SE whereas PTE of this sector has
improved a little. It has been found further that the increase in the mean of TE has been
due to the increase in the mean of the Scale Efficiency over the study whereas the value
of the mean of Pure Technical Efficiency has decreased a little. The above analysis states
that though the technical efficiency of Private Sector has improved over the time, the TE
of public sector i.e. 79.1% has been comparatively higher than that of private sector
which further shows that the public sector is more efficient as compared to private sector
in terms of efficiency in marine insurance business. The findings of this model depict that
public sector has used their inputs in more efficient manner in the production of net
premium income from the marine insurance segment as compared to the private sector.
Table 6.12
Overall Analysis of the Insurers
Years Insurers Mean of TE Mean of PTE Mean of SE 2002-03 All Insurers .692 .869 .790 2003-04 All Insurers .735 .915 .817 2004-05 All Insurers .786 .929 .842 2005-06 All Insurers .746 .888 .844 2006-07 All Insurers .774 .863 .910
216
2007-08 All Insurers .777 .878 .882 2008-09 All Insurers .815 .877 .934 2009-10 All Insurers .831 .880 .947 2010-11 All Insurers .673 .834 .830 2011-12 All Insurers .732 .858 .872
(Note: Author’s Own Calculations)
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to decrease in PTE though SE has increased over the time. For
the purpose of overall analysis the mean efficiency scores have been classified into 0- 0.3,
0.3-0.6, 0.6-0.9 and 0.9-1 and thereafter the comparison of all the insurers have been made
with respect to their efficiency scores in order to find out the range within which they lie.
By following the same it has been arrived at that in all the year the overall efficiency score
lies in the higher interval of 0.6-0.9 and 0.9-1. This might be because all the insurers are
operating on increasing return to scale or it can be contributed by PTE and SE. Moreover it
has been shown in table that the mean of TE increased from 0.692 in the year 2002-03 to
0.732 in the 2011-12. It has also been found that all the insurers are also better at SE, while
comparing the initial year with the current year. But the PTE of the insurers has slightly
decreased from 0.869 in 2002-03 to 0.858 in 2011-12. Thus it could be concluded that all
the general insurers should lay more stress on improving their managerial efficiencies.
Model II
Specification of the model: The specification of the inputs and outputs for the second
model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular
model has been the shareholders funds comprising of the share capital and reserves and
surpluses. The second input has been the operating expenses relating to the marine
insurance segment.
Output: Net Claims Incurred from the marine insurance business has been selected as
the output indictor for this particular model.
This particular model would depict the extent of efficiency of the insurers in
utilizing the above mentioned inputs in the production of the output i.e. net claims
incurred from the marine insurance segment.
217
Table No 6.13
Efficiency Analysis of the Insurers
2002-03 2003-04
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia .749 1 .749 Decreasing NewIndia .441 .895 .492 Decreasing
Oriental 1 1 1 Constant Oriental .579 .738 .785 Decreasing
United .696 .928 .750 Decreasing United .442 .784 .564 Decreasing
Royal .430 .641 .671 Increasing Royal .476 .598 .797 Increasing
Bajaj .456 1 .456 Increasing Bajaj .944 1 .944 Increasing
TATA .889 1 .889 Increasing TATA .903 .928 .973 Decreasing
Reliance .262 .413 .635 Increasing Reliance .213 1 .213 Increasing
IFFCO .424 1 .424 Increasing IFFCO 1 1 1 Constant
ICICI .396 .886 .447 Increasing ICICI .661 .679 .974 Increasing
2004-05 2005-06
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .541 1 .541 Decreasing National .815 1 .815 Decreasing
NewIndia .616 1 .616 Decreasing NewIndia .490 1 .490 Decreasing
Oriental .586 1 .586 Decreasing Oriental .490 .949 .542 Decreasing
United .479 .936 .512 Decreasing United .425 .760 .558 Decreasing
Royal .585 1 .585 Increasing Royal .985 1 .985 Increasing
Bajaj .993 1 .993 Decreasing Bajaj 1 1 1 Constant
TATA .724 1 .724 Increasing TATA 1 1 1 Constant
Reliance .295 1 .295 Increasing Reliance 1 1 1 Constant
IFFCO 1 1 1 Constant IFFCO .943 .956 .987 Decreasing
ICICI .589 .872 .675 Decreasing ICICI .513 .593 .865 Decreasing
2006-07 2007-08
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .999 1 .999 Increasing National .920 1 .920 Decreasing
NewIndia .402 .402 1 Constant NewIndia .766 1 .766 Decreasing
Oriental 1 1 1 Constant Oriental .543 1 .543 Decreasing
218
United .712 .712 1 Constant United .630 1 .630 Decreasing
Royal .658 1 .658 Increasing Royal .339 1 .339 Increasing
Bajaj 1 1 1 Constant Bajaj .588 .604 .973 Decreasing
TATA .871 .944 .923 Increasing TATA .981 1 .981 Increasing
Reliance .613 .931 .659 Increasing Reliance .598 .771 .777 Increasing
IFFCO 1 1 1 Constant IFFCO 1 1 1 Constant
ICICI .157 .168 .933 Decreasing ICICI .243 .412 .590 Decreasing
2008-09 2009-10
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National .420 .457 .919 Decreasing
NewIndia .936 1 .936 Decreasing NewIndia .693 .873 .793 Decreasing
Oriental .878 1 .878 Decreasing Oriental .768 1 .768 Decreasing
United .706 .773 .912 Decreasing United 1 1 1 Constant
Royal .474 1 .474 Increasing Royal .570 1 .570 Increasing
Bajaj .819 .906 .904 Increasing Bajaj 1 1 1 Constant
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .674 .873 .771 Increasing Reliance 1 1 1 Constant
IFFCO .832 .905 .920 Increasing IFFCO .868 .868 1 Constant
ICICI .353 .373 .946 Decreasing ICICI .348 .349 .999 Constant
2010-11 2011-12
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .799 .885 .903 Decreasing National .820 .902 .909 Decreasing
NewIndia .974 1 .974 Decreasing NewIndia .779 1 .779 Decreasing
Oriental .771 1 .771 Decreasing Oriental .785 1 .785 Decreasing
United .827 .972 .850 Decreasing United .843 1 .843 Decreasing
Royal .736 1 .736 Increasing Royal .226 1 .226 Increasing
Bajaj .702 .721 .974 Increasing Bajaj .533 .541 .985 Increasing
TATA 1 1 1 Constant TATA 1 1 1 Constant
Reliance .719 .940 .766 Increasing Reliance .949 1 .949 Increasing
IFFCO .615 .620 .991 Increasing IFFCO .474 .488 .972 Increasing
ICICI .650 .651 .998 Increasing ICICI .443 .447 .990 Decreasing(Note: Author’s Own Calculations)
219
The above table shows that during all the years under study all the public sector
companies have either been enjoying the constant returns to scales or have been depicting
the decreasing returns. Moreover one or two private sector insurers have been on frontier
in all years under study except in 2002-03. Among the private sector, IFFCO has been
reporting the efficiency score of 1 for 5 years out of 10 years of study i.e. 2003-04, 2004-
05, 2006-07, 2007-08 and 2009-10. TATA AIG General Insurance Company has also
been depicting the constant returns to scale for 5 years during the study period. Bajaj and
Reliance has shown the efficiency of 1 for 3 years and 2 years respectively during the
study period. ICICI has been showing the efficiency of 1 for single year i.e. in the year
2009-10. The Royal has not been on the frontier in any of the years. Examining the public
sector it has been revealed that National Insurance Company has been the top most public
sector insurer which has achieved the maximum efficiency level of 1 during the period
2002-03, 2003-04 and 2008-09. Oriental Insurance Company and United India Insurance
Company have also enjoyed the Constant Returns to scales in 2 years out of 10 years of
study. New India Assurance Company has joined the list of the bench markers in a single
year i.e. 2006-07.
Table 6.14
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 0 2 2 4 2002-03
Private 6 0 0 6
Public 0 1 3 4 2003-04
Private 4 1 1 6
Public 0 0 4 4 2004-05
Private 3 1 2 6
Public 0 0 4 4 2005-06
Private 1 3 2 6
Public 1 3 0 4 2006-07
Private 3 2 1 6
220
Public 0 0 4 4 2007-08
Private 3 1 2 6
Public 0 1 3 4 2008-09
Private 4 1 1 6
Public 0 1 3 4 2009-10
Private 1 5 0 6
Public 0 0 4 4 2010-11
Private 5 1 0 6
Public 0 0 4 4 2011-12
Private 4 1 1 6 (Source: Author’s Own Calculations)
The above table exhibits that in the year 2002-03 the maximum number of insurer
have marked the increasing returns to scale i.e. 6 insurers (comprising of 6 private
insurers) out of total 10 insurers have depicted that the increase in their output has been
more than the proportional change in their input. In the years 2009-10 the maximum
numbers of insurers have enjoyed the Constant returns to scale and it is the year 2004-05,
2005-06 and 2007-08 when 6 insurers have exhibited decreasing returns to scale i.e. the
increase in their output has been less than the proportional increase in their input. In these
said years 4 public sector insurers and 2 private insurers have shown the DRS.
Table 6.15
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE
Public .861 .982 .874 2002-03
Private .476 .823 .587
Public .615 .854 .710 2003-04
Private .699 .867 .816
Public .555 .984 .563 2004-05
Private .697 .978 .712
Public .555 .927 .601 2005-06
Private .906 .924 .972
221
Public .778 .778 .999 2006-07
Private .716 .840 .862
Public .714 1 .714 2007-08
Private .624 .797 .776
Public .88 .943 .931 2008-09
Private .692 .842 .835
Public .720 .832 .87 2009-10
Private .797 .869 .928
Public .842 .964 .874 2010-11
Private .737 .822 .910
Public .806 .975 .829 2011-12
Private .604 .746 .853 (Note: Author’s Own Calculations)
Above table reports the mean of TE, mean of PTE and mean of SE of both public
sector insurers and private sector insurers. The mean of TE of public sector has been
depicting decreasing trends and in the year 2011-12 it has been marked at .806.
Analyzing the private sector it could be said that the mean TE of this sector has been
increasing and has been recorded with the value .604 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.975 in 2011-12. Same is the case with the private sector that after the increase and
decrease in the mean of PTE, the value of the mean of the PTE has been marked as .746
in 2011-12.The mean of the SE depicts that the public sector has been showing decrease
over the time and the private sector has been depicting the increasing trends over the
study as its mean of SE has been .587 in 2002-03 which has gradually increased over the
time and has reached to .853 in 2011-12. The mean TE of public sector has slightly
reduced due to the decrease in the mean of the PTE as well as the mean of SE of this
sector. The results of the Private sector emphasizes that the increase in the mean of TE
has been due to the increase in the mean of the Scale Efficiency whereas the value of the
mean of Pure Technical Efficiency has decreased with the passage of the time. The above
results state that though the technical efficiency of Private Sector has improved over the
222
time, the TE of public sector which is recorded at 80.6% is higher than the private sector
which points out that public sector has been more efficient as compared to the private
sector in terms of efficiency in marine insurance business. The findings of this model
depict that public sector has used their inputs in more efficient manner in the production
of net claims incurred from the marine insurance segment as compared to the private
sector.
Table 6.16
Overall Analysis
Years Insurers Mean of TE Mean of PTE Mean of SE
2002-03 All Insurers .630 .887 .702
2003-04 All Insurers .666 .862 .774
2004-05 All Insurers .641 .981 .653
2005-06 All Insurers .769 .926 .824
2006-07 All Insurers .741 .816 .917
2007-08 All Insurers .661 .879 .752
2008-09 All Insurers .767 .883 .874
2009-10 All Insurers .767 .855 .905
2010-11 All Insurers .779 .879 .896
2011-12 All Insurers .685 .838 .844 (Note: Author’s Own Calculations)
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE though PTE has decreased over the time. For
the purpose of overall analysis, the mean efficiency scores have been categorized into 0-
0.3, 0.3-0.6, 0.6-0.9 and 0.9-1 and thereafter the comparison of all the insurers have been
made with respect to their efficiency scores in order to find out the range within which
they lie. By following the same it has been arrived at that in all the year the overall
efficiency score lies in the higher interval of 0.6-0.9 and 0.9-1. This might be because all
the insurers are operating on increasing return to scale or it can be contributed by PTE
223
and SE. Moreover it has been shown in table that the mean of TE increased from 0.630 in
the year 2002-03 to 0.685 in the 2011-12. It has also been found that all the insurers are
also better at SE, while comparing the initial year with the current year. But the PTE of
the insurers has decreased from .887 in 2002-03 to .838 in 2011-12. Thus it could be
concluded that all the general insurers should lay more stress on improving their
managerial efficiencies.
EFFICIENCY EVALAUTION OF MISCELLANEOUS INSURANCE BUSINESS
According to Section 2(13B) Indian Insurance Act, 1938 Miscellaneous
Insurance Business is “the business of effecting contracts of insurance which is not
principally or wholly of any kind or kinds included in Fire, Life and Marine Insurance
business.” In order to evaluate the efficiency of the miscellaneous insurance segment two
models have been used.
Model I
Specification of the model: The specification of the inputs and outputs for the first
model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular
model has been the shareholders funds comprising of the share capital and reserves and
surpluses. The second input has been the operating expenses relating to the miscellaneous
insurance segment.
Output: Net Premium Income from the miscellaneous insurance business has been
selected as the output indictor for this particular model.
This particular model would depict the extent of efficiency of the insurers in
utilizing the above mentioned inputs in the production of the net premium income
generated from the miscellaneous insurance segment.
224
Table 6.17
Efficiency Analysis of the Insurers
2002-03 2003-04
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia 1 1 1 Constant NewIndia .804 1 .804 Decreasing
Oriental 1 1 1 Constant Oriental .778 .778 1 Constant
United .946 .949 .997 Increasing United .824 .824 1 Constant
Royal .562 .735 .764 Increasing Royal .742 .931 .797 Increasing
Bajaj .889 1 .889 Increasing Bajaj .981 1 .981 Increasing
TATA .608 .770 .790 Increasing TATA .713 .998 .714 Increasing
Reliance .166 .363 .457 Increasing Reliance .274 1 .274 Increasing
IFFCO .522 1 .522 Increasing IFFCO .801 1 .801 Increasing
ICICI .409 1 .409 Increasing ICICI .257 .274 .938 Increasing
2004-05 2005-06
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .886 1 .886 Decreasing National .917 1 .917 Decreasing
NewIndia .620 1 .620 Decreasing NewIndia .888 1 .888 Decreasing
Oriental .573 .905 .633 Decreasing Oriental .786 .952 .825 Decreasing
United .476 .758 .629 Decreasing United .604 .722 .836 Decreasing
Royal .594 .852 .697 Increasing Royal .838 1 .838 Increasing
Bajaj 1 1 1 Constant Bajaj 1 1 1 Constant
TATA .848 1 .848 Increasing TATA .704 .753 .934 Increasing
Reliance .345 1 .345 Increasing Reliance .510 1 .510 Increasing
IFFCO .676 1 .676 Increasing IFFCO 1 1 1 Constant
ICICI .532 .583 .913 Decreasing ICICI .847 .877 .965 Decreasing
2006-07 2007-08
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .998 1 .998 Decreasing National .876 1 .876 Decreasing
NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant
Oriental 1 1 1 Constant Oriental .852 .946 .906 Decreasing
225
United .728 .743 .980 Decreasing United .719 .777 .925 Decreasing
Royal 1 1 1 Constant Royal 1 1 1 Constant
Bajaj .972 1 .972 Decreasing Bajaj 1 1 1 Constant
TATA .661 .666 .992 Decreasing TATA .665 .674 .988 Increasing
Reliance .828 .832 .995 Decreasing Reliance .743 .796 .934 Decreasing
IFFCO 1 1 1 Constant IFFCO 1 1 1 Constant
ICICI .949 .955 .994 Decreasing ICICI .880 .972 .905 Decreasing
2008-09 2009-10
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National .90 1 .90 Decreasing
NewIndia .915 1 .915 Decreasing NewIndia .790 1 .790 Decreasing
Oriental .854 .925 .923 Decreasing Oriental .841 1 .841 Decreasing
United .813 .884 .920 Decreasing United .815 .997 .817 Decreasing
Royal 1 1 1 Constant Royal 1 1 1 Constant
Bajaj 1 1 1 Constant Bajaj .972 1 .972 Decreasing
TATA .604 .630 .959 Increasing TATA .617 .617 1 Constant
Reliance .696 .699 .996 Increasing Reliance .684 .753 .909 Decreasing
IFFCO 1 1 1 Constant IFFCO 1 1 1 Constant
ICICI .818 .878 .931 Decreasing ICICI .988 1 .988 Decreasing
2010-11 2011-12
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant
NewIndia .815 1 .815 Decreasing NewIndia .925 1 .925 Decreasing
Oriental .724 .810 .894 Decreasing Oriental .886 .929 .954 Decreasing
United .653 .849 .769 Decreasing United .930 1 .930 Decreasing
Royal 1 1 1 Constant Royal 1 1 1 Constant
Bajaj .916 .920 .997 Decreasing Bajaj .947 .950 .997 Decreasing
TATA .679 1 .679 Increasing TATA .732 .766 .956 Increasing
Reliance .546 .557 .980 Increasing Reliance .709 .725 .979 Increasing
IFFCO 1 1 1 Constant IFFCO 1 1 1 Constant
ICICI 1 1 1 Constant ICICI 1 1 1 Constant (Note: Author’s Own Calculations)
226
The above table analyzes that during all the years under study all the public sector
companies have either been enjoying the constant returns to scales or have been depicting
the decreasing returns. Among the private sector, IFFCO has been reporting the
efficiency score of 1 for 7 years out of 10 years of study i.e. 2005-06, 2006-07, 2007-08,
2008-09, 2009-10, 2010-11 and 2011-12. Royal has shown the efficiency of 1 for 6 years
out of 10 years. Bajaj Allianz has enjoyed the constant returns to scale for 4 years. TATA
has been on the frontier for a single year only i.e. 2009-10 and ICICI has been the
benchmark for two years i.e. 2010-11 and 2011-12. The Reliance has not been on the
frontier for any of the years. Examining the public sector it could be concluded that
National Insurance Company has been the top most public sector insurer which has
achieved the maximum efficiency level of 1 during the period 2002-03, 2003-04, 2008-
09, 2010-11 and 2011-12. New India Assurance Company and Oriental Insurance
Company have also enjoyed the Constant Returns to scales in 3 years out of 10 years of
study. United India Insurance Company has joined the list of the bench markers in a
single year i.e. 2003-04.
Table 6.18
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 1 3 0 4 2002-03
Private 6 0 0 6
Public 0 3 1 4 2003-04
Private 6 0 0 6
Public 0 0 4 4 2004-05
Private 4 1 1 6
Public 0 0 4 4 2005-06
Private 3 2 1 6
Public 0 2 2 4 2006-07
Private 0 2 4 6
Public 0 1 3 4 2007-08
Private 1 3 2 6
227
Public 0 1 3 4 2008-09
Private 2 3 1 6
Public 0 0 4 4 2009-10
Private 0 3 3 6
Public 0 1 3 4 2010-11
Private 2 3 1 6
Public 0 1 3 4 2011-12
Private 2 3 1 6 (Source: Author’s Own Calculations)
The above table depicts that in the year 2002-03 the maximum number of insurer
have marked the increasing returns to scale i.e. 7 insurers (comprising of 1 public insurers
and 6 private insurers) out of total 10 insurers have depicted that the increase in their
output has been more than the proportional change in their input. In the years 2006-07,
2007-08, 2008-09, 2010-11 and 2011-12 the maximum numbers of insurers have enjoyed
the Constant returns to scale and it is the year 2009-10 when 7 insurers have exhibited
decreasing returns to scale i.e. the increase in their output has been less than the
proportional increase in their input. In these said years 4 public sector insurers and 3
private sector insurers have shown the DRS.
Table 6.19
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE
Public .986 .987 .999 2002-03
Private .526 .811 .638
Public .851 .900 .951 2003-04
Private .628 .867 .750
Public .638 .915 .692 2004-05
Private .665 .905 .746
Public .798 .918 .866 2005-06
Private .816 .938 .874
228
Public .931 .935 .994 2006-07
Private .901 .908 .992
Public .861 .930 .926 2007-08
Private .881 .907 .971
Public .895 .952 .939 2008-09
Private .853 .867 .981
Public .836 .999 .837 2009-10
Private .876 .895 .978
Public .798 .914 .869 2010-11
Private .856 .912 .942
Public .935 .982 .952 2011-12
Private .898 .906 .988 (Note: Author’s Own Calculations)
Above table shows the mean of TE, mean of PTE and mean of SE of both public
sector insurers and private sector insurers. The mean of TE of public sector has been
depicting decreasing trends and in the year 2011-12 it has been marked at .935.
Analyzing the private sector it could be said that the mean TE of this sector has been
increasing and has been recorded with the value .898 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.982 in 2011-12. Same is the case with the private sector that after a increase and
decrease in the value of mean PTE value of private sector, the value of the mean of the
PTE has been marked as .906 in 2011-12.The mean of the SE depicts that the public
sector has remained static over the time whereas the private sector has been depicting the
increasing trends over the study as its mean of SE has been .638 in 2002-03 which has
gradually increased over the time and has reached to .988 in 2011-12. The mean TE of
public sector has slightly reduced due to the slight decrease in the mean of PTE whereas
SE of this sector has remained static. The results of the Private sector emphasizes that the
increase in the mean of TE has been due to the increase in the mean of the Scale
Efficiency and the mean of Pure Technical Efficiency. The above results state that no
doubt the technical efficiency of Private Sector has improved over the time, the TE of
public sector is still higher than that of the private sector insurers which further states that
229
private sector has been more efficient as compared to public sector in terms of efficiency
in miscellaneous insurance business. The findings of this model depict that public sector
has used their inputs in more efficient manner in the production of net premium income
from the miscellaneous insurance segment as compared to the private sector.
Table 6.20
Overall Analysis of the Insures
Years Insurers Mean of TE Mean of PTE Mean of SE
2002-03 All Insurers .710 .882 .783
2003-04 All Insurers .717 .881 .831
2004-05 All Insurers .655 .910 .725
2005-06 All Insurers .809 .930 .871
2006-07 All Insurers .914 .920 .993
2007-08 All Insurers .874 .916 .953
2008-09 All Insurers .870 .902 .964
2009-10 All Insurers .861 .937 .922
2010-11 All Insurers .833 .914 .913
2011-12 All Insurers .913 .937 .974 (Note: Author’s Own Calculations)
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE and PTE over the time. For the purpose of
overall analysis the mean efficiency scores have been classified into 0- 0.3, 0.3-0.6, 0.6-
0.9 and 0.9-1 and thereafter the comparison of all the insurers have been made with
respect to their efficiency scores in order to find out the range within which they lie. By
following the same it has been found that in all the years the overall efficiency score lies
in the higher interval of 0.6-0.9 and 0.9-1. This might be because all the insurers are
operating on increasing return to scale or it can be contributed by PTE and SE. Moreover
it has shown in table that the mean of TE increased from 0.710 in the year 2002-03 to
0.913 in the 2011-12. It has also been found that all the insurers are also better at SE and
PTE, while comparing the initial year with the current year.
230
Model II
Specification of the model: The specification of the inputs and outputs for the second
model have been as
Inputs: Two inputs have been used for this model. The first input used for this particular
model has been the shareholders funds comprising of the share capital and reserves and
surpluses. The second input has been the operating expenses relating to the miscellaneous
insurance segment.
Output: Net Claims Incurred from the miscellaneous insurance business has been
selected as the output indictor for this particular model.
This particular model would depict the extent of efficiency of the insurers in
utilizing the above mentioned inputs in the maximization of the output i.e. net claims
incurred from the miscellaneous insurance segment.
Table 6.21
Efficiency Analysis of the Insurers
2002-03 2003-04
Company TE PTE SE RtoS Company TE PTE SE RtoS
National .997 .997 1 Constant National 1 1 1 Constant
NewIndia .946 1 .946 Decreasing NewIndia .752 1 .752 Decreasing
Oriental 1 1 1 Constant Oriental .739 .739 1 Constant
United 1 1 1 Constant United .897 .898 .999 Increasing
Royal .344 .610 .563 Increasing Royal .485 .877 .553 Increasing
Bajaj .646 1 .646 Increasing Bajaj .596 1 .596 Increasing
TATA .310 .514 .603 Increasing TATA .327 .737 .444 Increasing
Reliance .209 .639 .327 Increasing Reliance .238 1 .238 Increasing
IFFCO .268 1 .268 Increasing IFFCO .480 1 .480 Increasing
ICICI .266 1 .266 Increasing ICICI .162 .192 .842 Increasing
231
2004-05 2005-06
Company TE PTE SE RtoS Company TE PTE SE RtoS
National 1 1 1 Constant National 1 1 1 Constant NewIndia .973 1 .973 Decreasing NewIndia .888 1 .888 DecreasingOriental 1 1 1 Constant Oriental .776 .778 .997 Increasing United .949 .953 .996 Decreasing United .716 .716 1 Constant Royal .570 1 .570 Increasing Royal .502 1 .502 Increasing Bajaj .858 1 .858 Increasing Bajaj .612 .770 .795 Increasing TATA .520 1 .520 Increasing TATA .298 .474 .628 Increasing Reliance .456 1 .456 Increasing Reliance .192 1 .192 Increasing IFFCO .515 1 .515 Increasing IFFCO .597 .701 .852 Increasing ICICI .445 .499 .892 Increasing ICICI .453 .516 .879 Increasing 2006-07 2007-08 Company TE PTE SE RtoS Company TE PTE SE RtoS National 1 1 1 Constant National 1 1 1 Constant NewIndia 1 1 1 Constant NewIndia 1 1 1 Constant Oriental 1 1 1 Constant Oriental .973 .976 .995 Increasing United .738 .753 .979 Decreasing United .785 .786 .998 Increasing Royal .926 1 .926 Increasing Royal 1 1 1 Constant Bajaj .797 .814 .979 Increasing Bajaj .931 .934 .997 DecreasingTATA .494 .514 .960 Increasing TATA .489 .489 1 Constant Reliance .396 .411 .963 Increasing Reliance .728 .731 .995 DecreasingIFFCO .799 1 .799 Increasing IFFCO .867 1 .867 Increasing ICICI .674 .678 .993 Increasing ICICI .776 .795 .977 Increasing 2008-09 2009-10 Company TE PTE SE RtoS Company TE PTE SE RtoS National 1 1 1 Constant National 1 1 1 Constant NewIndia .942 1 .942 Decreasing NewIndia .802 1 .802 DecreasingOriental .904 .906 .997 Increasing Oriental .968 1 .968 DecreasingUnited .666 .670 .994 Decreasing United .824 .987 .835 DecreasingRoyal .834 1 .834 Increasing Royal 1 1 1 Constant Bajaj .858 .888 .966 Increasing Bajaj .895 .910 .984 Increasing TATA .40 .506 .790 Increasing TATA .547 .603 .907 Increasing
232
Reliance .601 .615 .976 Increasing Reliance .772 .775 .996 DecreasingIFFCO .880 1 .880 Increasing IFFCO 1 1 1 Constant ICICI .722 .733 .985 Increasing ICICI 1 1 1 Constant 2010-11 2011-12 Company TE PTE SE RtoS Company TE PTE SE RtoS National 1 1 1 Constant National 1 1 1 Constant NewIndia .818 1 .818 Decreasing NewIndia .752 1 .752 DecreasingOriental .758 .803 .944 Decreasing Oriental .826 .899 .918 DecreasingUnited .646 .836 .772 Decreasing United .820 1 .820 DecreasingRoyal .843 1 .843 Increasing Royal .987 1 .987 Increasing Bajaj .796 .811 .981 Increasing Bajaj .830 .832 .998 DecreasingTATA .496 1 .496 Increasing TATA .669 .708 .944 Increasing Reliance .714 .757 .943 Increasing Reliance .759 .826 .919 Increasing IFFCO .942 1 .942 Increasing IFFCO 1 1 1 Constant ICICI 1 1 1 Constant ICICI 1 1 1 Constant (Note: Author’s Own Calculations)
The above table states that during all the years under study one or two public
sector companies have been found on the frontier. Among the private sector, Royal has
been reporting the efficiency score of 1 for 2 years out of 10 years of study i.e. 2007-08
and 2009-10, and ICICI has been on frontier for 3 years i.e. 2009-10, 2010-11 and 2011-
12 resp. IFFCO has also shown the efficiency of 1 for two years out of 10 years. The rest
of the Private insurers have been showing the increasing returns to scales in the rest of the
years except Reliance which have been indicating the Decreasing returns to scale in some
of the years under consideration. Examining the public sector it has been found that
National Insurance Company has been the top most public sector insurer which has
achieved the maximum efficiency level of 1 during the period 2002-03, 2003-04, 2004-
05, 2005-06, 2006-07, 2007-08, 2008-09, 2009-10, 2010-11 and 2011-12. Oriental
Insurance Company has also enjoyed the Constant Returns to scales in 4 years during the
study period. New India Assurance Company and United India Insurance Company have
joined the list of the bench markers for 2 years.
233
Table 6.22
Economies of Scale of the insurance companies
Year Sector IRS CRS DRS Total no of companies
Public 0 3 1 4 2002-03
Private 6 0 0 6
Public 1 2 1 4 2003-04
Private 6 0 0 6
Public 0 2 2 4 2004-05
Private 6 0 0 6
Public 1 2 1 4 2005-06
Private 6 0 0 6
Public 0 3 1 4 2006-07
Private 6 0 0 6
Public 0 2 2 4 2007-08
Private 2 2 2 6
Public 1 1 2 4 2008-09
Private 6 0 0 6
Public 0 1 3 4 2009-10
Private 2 3 1 6
Public 0 1 3 4 2010-11
Private 5 1 0 6
Public 0 1 3 4 2011-12
Private 3 2 1 6 (Source: Author’s Own Calculations)
The above table shows that in the years 2003-04, 2005-06 and 2008-09 the
maximum number of insurer have marked the increasing returns to scale i.e. 7 insurers
(comprising of 21public insurers and 6 private insurers) out of total 10 insurers have
depicted that the increase in their output has been more than the proportional change in
their input. In the years 2007-08 and 2009-10 the maximum numbers of insurers have
enjoyed the Constant returns to scale and it is the years 2007-08, 2009-10 and 2011-12
234
when 4 insurers have exhibited decreasing returns to scale i.e. the increase in their output
has been less than the proportional increase in their input.
Table 6.23
Sector Wise Analysis
Year Sector Mean of TE Mean of PTE Mean of SE
Public .985 .999 .986 2002-03
Private .340 .793 .445
Public .847 .909 .937 2003-04
Private .381 .801 .525
Public .980 .988 .992 2004-05
Private .560 .916 .635
Public .845 .873 .971 2005-06
Private .442 .743 .641
Public .934 .938 .994 2006-07
Private .681 .736 .936
Public .939 .940 .998 2007-08
Private .798 .824 .972
Public .878 .894 .983 2008-09
Private .715 .790 .905
Public .898 .996 .901 2009-10
Private .869 .881 .981
Public .805 .909 .883 2010-11
Private .798 .928 .867
Public .849 .974 .872 2011-12
Private .874 .894 .974 (Note: Author’s Own Calculations)
Above table depicts the mean of TE, mean of PTE and mean of SE of both public
sector insurers and private sector insurers. The mean of TE of public sector has been
depicting decreasing trends and in the year 2011-12 it has been marked at .849.
Analyzing the private sector it could be stated that the mean TE of this sector has been
235
increasing and has been recorded with the value .874 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.974 in 2011-12. Same is the case with the private sector that after a slight increase and
decrease in the value of mean PTE value of private sector, it has been marked as .894 in
2011-12.The mean of the SE depicts that the public sector has been showing decrease
over the time and the private sector has been depicting the increasing trends over the
study as its mean of SE has been .445 in 2002-03 which has gradually increased over the
time and has reached to .974 in 2011-12. The mean TE of public sector has reduced due
to the decrease in the mean of the SE as well as the mean of PTE of this sector. The
results of the Private sector emphasis that the increase in the mean of TE has been due to
the increase in the mean of the Scale Efficiency and mean of Pure Technical Efficiency.
The above analysis states that as the technical efficiency of Private Sector has been
relatively higher than the public sector which states that private sector has been more
efficient as compared to public sector in terms of efficiency in miscellaneous insurance
business. The findings of this model depict that private sector has used their inputs in
more efficient manner in the production of net claims incurred from the miscellaneous
insurance segment as compared to their public counterparts.
Table 6.24
Overall Analysis of the Insurers
Years Insurers Mean of TE Mean of PTE Mean of SE
2002-03 All Insurers .599 .876 .662
2003-04 All Insurers .568 .844 .690
2004-05 All Insurers .729 .945 .778
2005-06 All Insurers .603 .795 .773
2006-07 All Insurers .782 .817 .960
2007-08 All Insurers .855 .871 .983
2008-09 All Insurers .781 .832 .936
2009-10 All Insurers .881 .927 .949
2010-11 All Insurers .801 .921 .874
2011-12 All Insurers .864 .927 .934 (Note: Author’s Own Calculations)
236
Above Table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE and PTE over the time. For the purpose of
overall analysis the mean efficiency scores have been classified into 0- 0.3, 0.3-0.6, 0.6-
0.9 and 0.9-1 and thereafter the comparison of all the insurers have been made with
respect to their efficiency scores in order to find out the range within which they lie. By
following the same it has been found that in all the year the overall efficiency score lies
in the higher interval of 0.6-0.9 and 0.9-1. This might be because all the insurers are
operating on increasing return to scale or it can be contributed by PTE and SE. Moreover
it has been shown that the mean of TE increased from 0.599 in the year 2002-03 to 0.864
in the 2011-12. It has also been found that all the insurers are also better at SE and PTE,
while comparing the initial year with the current year.
PRODUCTIVITY EVALUATION/ MALMQUIST ANALYSIS OF GENERAL
INSURERS
The terms - productivity and efficiency are often discussed. They are frequently
used interchangeably, but this is unfortunate because they are not precisely the same
things. Efficiency improvement does not guarantee productivity improvement. People
often think that if you improve efficiency, you are more productive. Efficiency is a
necessary but not a sufficient condition for productivity. Commonly used measures of
efficiency and productivity are (Sumanth 1998 as quoted by Kirikal, 2005):
Efficiency = Actual output/Standard output
Productivity = Actual output/ Inputs consumed
Therefore, efficiency is the ratio of actual output generated to the standard output
prescribed, but the classic measure of productivity is the ratio of output produced per unit
of input expended. Productivity of a unit is the ratio of its output to input used to produce
that output, so the productivity of a unit is unique. On the other hand, efficiency is the
degree of achievement of a predetermined goal, an optimum outcome or the best practice.
It can be said that the efficiency is not unique like productivity because it depends on the
performance of the unit. Therefore the efficiency of a unit is relative and different for
each unit (Haksever, 2000 as quoted by Karaduman, 2006).
237
Many indexes are used to measure the changes in TFP. These indexes are the
ratios of output indexes to input indexes. Here it is important to explain what index is.
Indexes are the tools that are used to measure the changes in the levels of economical
variables. An index number is defined as a real number which measures the changes in a
set of related variables. They are used to compare the values of a variable that change by
time, place or both of them. Numerous methodologies for measuring productivity have
been developed over the last three decades. The commonly accepted indices of
productivity change are Tornqvist Index, Fisher Ideal Index and Malmquist Index. The
popularity of the Malmquist Index stems from three quite different sources. First, it is
calculated from quantity data only, a distinct advantage if price information is
unavailable or if prices are distorted. Second, it rests on much weaker behavioral
assumptions than the other two indices, since it does not assume cost minimizing or
revenue maximizing behavior. Third, provided panel data is available, it provides a
decomposition of productivity change into two components. One is labeled technical
change, and it reflects improvement or deterioration in the performance of best practice
manufacturing industries. The other is labeled technical efficiency change, and it reflects
the convergence toward or the divergence from best practice on the part of the remaining
firms. The value of the decomposition is that it provides information on the source of
overall productivity change in the firms (Mansor and Radam, 2000). MTFP index is an
index that is used for measuring the changes in total factor productivity of DMUs by
time. Malmquist TFP Index measures the TFP change between two data points by
calculating the ratio of the distances of each data point relative to a common technology
(Estache, 2004 as quoted by Karaduman, 2006).
A nonparametric programming method (activity analysis) is used to compute
Malmquist productivity indexes. These are decomposed into two component measures,
namely, technical change and efficiency change. Our measure of productivity growth is a
geometric mean of two Malmquist productivity indexes. This also leads to our
decomposition of productivity into changes in efficiency (catching up) and changes in
technology (innovation).
238
PRODUCTIVITY EVALAUTION OF FIRE INSURANCE BUSINESS
Model I
Specification of the model: The inputs and output used for the analysis has been as
under
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the other one is the operating expenses relating to the fire insurance
segment.
Output: Net Premium Income from the fire insurance business.
Table 6.25
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC National 1 0.943 1 1 0.943 New India 0.638 1.198 1 0.638 0.764 Oriental 0.953 0.809 0.956 0.997 0.771 United 0.789 0.995 0.952 0.828 0.785 Royal 1.054 1.130 0.594 1.777 1.191 Bajaj 1.858 1.876 1 1.858 3.484 TATA 0.768 2.368 1 0.768 1.818 Reliance 1.515 1.164 0.808 1.874 1.763 IFFCO 2.323 0.783 1 2.323 1.819
2002-03 To 2003-04
ICICI 1.445 0.783 0.616 2.346 1.132 National 1 0.954 1 1 0.954 New India 1.568 0.695 1 1.568 1.089 Oriental 0.992 0.945 0.993 0.998 0.937 United 1.084 0.875 0.957 1.133 0.949 Royal 1.637 0.850 2.241 0.731 1.391 Bajaj 1 0.554 1 1 0.554 TATA 1.439 0.411 1 1.439 0.592 Reliance 1.781 0.764 2.627 0.678 1.360 IFFCO 0.759 1.251 1 0.759 0.950
2003-04 To 2004-05
ICICI 0.827 1.240 0.862 0.959 1.026
239
National 1 1.008 1 1 1.008 New India 1 0.950 1 1 0.950 Oriental 0.916 0.969 0.914 1.003 0.888 United 0.838 0.970 0.845 0.992 0.814 Royal 0.859 0.978 1 0.859 0.840 Bajaj 1 0.910 1 1 0.910 TATA 0.813 0.951 0.395 2.059 0.773 Reliance 1.282 0.956 1.117 1.148 1.226 IFFCO 0.790 0.922 0.583 1.355 0.728
2004-05 To 2005-06
ICICI 0.635 0.932 0.598 1.062 0.592 National 1 0.917 1 1 0.917 New India 1 1.263 1 1 1.263 Oriental 1.057 1.111 1.067 0.991 1.175 United 1.181 1.057 1.138 1.038 1.249 Royal 1.430 0.751 1 1.430 1.075 Bajaj 1 0.756 1 1 0.756 TATA 1.211 1.165 1.382 0.876 1.411 Reliance 0.996 1.362 1 0.996 1.357 IFFCO 1.368 0.740 1.347 1.016 1.012
2005-06 To 2006-07
ICICI 1.239 0.856 1.249 0.991 1.060 National 0.913 0.963 1 0.913 0.880 New India 1 1.069 1 1 1.069 Oriental 0.921 0.946 1.025 0.899 0.872 United 1.019 0.986 1.027 0.992 1.004 Royal 0.722 0.978 1 0.722 0.706 Bajaj 1 0.981 1 1 0.981 TATA 1.013 0.950 1.832 0.553 0.963 Reliance 0.738 1.041 0.990 0.746 0.768 IFFCO 1.308 0.955 1.273 1.027 1.249
2006-07 To 2007-08
ICICI 1.432 0.986 1.616 0.886 1.412 National 1.095 1.115 1 1.095 1.220 New India 1 0.860 1 1 0.860 Oriental 1.034 1.055 0.927 1.115 1.091 United 1.032 0.936 0.982 1.051 0.966
2007-08 To 2008-09
Royal 0.614 0.993 1 0.614 0.610
240
Bajaj 0.804 1.064 0.950 0.846 0.855 TATA 1.044 1.017 0.652 1.602 1.062 Reliance 1.319 0.804 1.010 1.305 1.060 IFFCO 0.473 1.034 0.669 0.708 0.490
ICICI 0.830 1.028 0.771 1.076 0.853 National 1 0.960 1 1 0.960 New India 0.986 0.880 1 0.986 0.868 Oriental 1.055 0.939 1.111 0.949 0.991 United 1.090 0.874 1.074 1.015 0.953 Royal 1.320 0.877 1 1.320 1.158 Bajaj 1.088 0.919 0.962 1.131 0.999 TATA 1.199 0.879 1.068 1.123 1.054 Reliance 1.289 0.874 1 1.289 1.126 IFFCO 1.086 0.941 0.972 1.118 1.021
2008-09 To 2009-10
ICICI 1.404 0.874 1.336 1.051 1.227 National 1 1.136 1 1 1.136 New India 1.008 1.069 1 1.008 1.077 Oriental .927 1.136 .943 .983 1.054 United .760 1.069 .761 1 .813 Royal .910 1.069 1 .910 .973 Bajaj .864 1.069 .880 .982 .924 TATA .933 1.069 1.107 .843 .997 Reliance .834 1.069 1 .834 .891 IFFCO .947 1.069 1.317 .719 1.013
2009-10 To 2010-11
ICICI 1.267 1.069 1.303 .972 1.354 National 1 1.018 1 1 1.018 New India .926 1.124 1 .926 1.041 Oriental 1.013 .969 .988 1.026 .982 United 1.233 1.124 1.262 .977 1.382 Royal .964 1.124 1 .964 1.084 Bajaj .886 1.124 .877 1.011 .996 TATA .939 1.124 .865 1.086 1.056 Reliance .877 1.124 1 .877 .987 IFFCO .907 1.089 .903 1.004 .988
2010-11 To 2011-12
ICICI .782 1.124 .791 .989 .880 (Note: Author’s Own Calculations)
241
Table 6.26
Average of TE, TC and TFPC
Company Average of Technical Efficiency
Average of Technical Progress/
Technological Change
Average of TFPC
National 1.00 1.001 1.004
New India 1.014 1.012 .997
Oriental .985 .986 .973
United 1.002 .987 .990
Public Sector Average
1.000 .996 .991
Royal 1.056 .972 1.003
Bajaj 1.055 1.028 1.162
TATA 1.039 1.103 1.080
Reliance 1.181 1.017 1.170
IFFCO 1.106 .976 1.03
ICICI 1.095 .988 1.059
Private Sector Average
1.088 1.014 1.084
(Note: Author’s Own Calculations)
The Productivity Index Table i.e. table 6.25 states the Total Factor
productivity Change which is comprised of Efficiency Change, Technological
Change, Pure Technical Change and Scale Efficiency Change. The results of the
Table 6.26 state that private sector insurers have indicated increase in the Technical
Efficiency whereas the technical efficiency of public sector insurers remained the
same over the period. Among the public sector only one company i.e. Oriental
General Insurance Company marked a decrease over the study period. On the other
hand all the private sector insurers registered increase in the Technical Efficiency
Change over the study period. Among the private sector Reliance showed the highest
Technical Efficiency Change followed by the IFFCO Tokio. The results of the
242
Technical Progress state that the private sector has been showing growth in the
productivity as the value of the private sector is 1.014 which is greater than 1 whereas
the public sector has registered a decline in the technical progress/ technological
change. The results of TFPC index are stating that the public sector general insurer’s
i.e. New India, Oriental and United India General Insurance Company have been
showing regress in the total factor productivity over the study period i.e. 1%, 3% and
1% respectively, whereas National Insurance Company has marked a progress in the
National Insurance Company by showing an increase of 0.4% over the study period.
Reliance General Insurance Company has shown the highest gain of 17% followed by
Bajaj marking an increase of 16.2% in TFPC, whereas the rest of the private sector
insurers also depicted a gain in the productivity. The overall results of the Malmquist
analysis states that the private sector insurers have shown an increase in the TFPC
while their counterparts showed regress in productivity over the study period. It could
be concluded from the results that the decrease in the TFPC of the public sector is due
to the decrease in the value of the technical change whereas the technical efficiency
of this particular sector has remained stagnant over the time, on the other side the
increase in the value of the TFPC of the private sector is the result of the gain in both
technical efficiency and technical progress.
Model II
Specification of the model: The specification of the inputs and outputs for the
second model have been as
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the other has been the operating expenses relating to the fire insurance
segment.
Output: Net Claims Incurred from the fire insurance business.
243
Table 6.27
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC
National 1.147 0.569 1.119 1.024 0.653
New India 0.937 0.496 1 0.937 0.465
Oriental 1 0.642 1 1 0.642
United 0.805 0.552 0.823 0.979 0.444
Royal 2.513 0.513 1.019 2.467 1.289
Bajaj 5.514 0.724 1 5.514 3.993
TATA 3.666 0.723 1 3.666 2.649
Reliance 2.206 0.504 0.799 2.761 1.112
IFFCO 5.553 0.696 1 5.553 3.867
2002-03 To 2003-04
ICICI 4.436 0.690 0.927 4.786 3.060
National 1 1.454 1 1 1.454
New India 0.992 1.338 1 0.992 1.327
Oriental 1 1.417 1 1 1.417
United 0.846 1.479 0.963 0.878 1.251
Royal 1.626 1.488 2.111 0.770 2.419
Bajaj 1 0.970 1 1 0.970
TATA 0.864 0.959 1 0.864 0.828
Reliance 0.838 1.417 1.184 0.708 1.188
IFFCO 0.699 1.338 1 0.699 0.935
2003-04 To 2004-05
ICICI 1.022 1.397 1.036 0.986 1.428
National 1 1.785 1 1 1.785
New India 0.987 1.760 1 0.987 1.736
Oriental 0.818 1.634 0.849 0.963 1.336
United 0.652 1.635 0.628 1.037 1.065
Royal 0.451 1.680 1 0.451 0.758
Bajaj 0.972 1.588 1 0.972 1.544
TATA 0.792 1.807 0.325 2.435 1.432
2004-05 To 2005-06
Reliance 1.705 1.958 1.057 1.613 3.339
244
IFFCO 0.276 1.614 0.206 1.343 0.446 ICICI 0.498 1.629 0.484 1.029 0.811
National 1 0.769 1 1 0.769
New India 1.091 0.861 1 1.091 0.940
Oriental 0.892 0.852 0.867 1.028 0.760
United 2.117 0.852 2.026 1.045 1.804
Royal 0.880 0.648 1 0.880 0.571
Bajaj 0.886 0.648 1 0.886 0.575
TATA 0.707 0.887 1.158 0.610 0.626
Reliance 0.746 0.770 1 0.746 0.575
IFFCO 3.140 0.648 3.958 0.793 2.036
2005-06 To 2006-07
ICICI 1.054 0.733 1.094 0.963 0.772
National 1 1.248 1 1 1.248
New India 1 1.521 1 1 1.521
Oriental 1.371 1.471 1.357 1.010 2.017
United 0.856 1.381 0.795 1.076 1.182
Royal 1.272 1.089 1 1.272 1.385
Bajaj 0.638 1.089 0.584 1.093 0.695
TATA 0.819 1.376 2.653 0.309 1.126
Reliance 0.627 1.513 1 0.627 0.948
IFFCO 1.465 1.089 1.229 1.192 1.595
2006-07 To 2007-08
ICICI 1.586 1.128 1.520 1.043 1.789
National 0.918 1.171 0.958 0.959 1.075
New India 0.604 1.136 1 0.604 0.686
Oriental 1 1.186 1 1 1.186
United 0.791 1.154 0.918 0.861 0.912
Royal 0.683 1.167 1 0.683 0.797
Bajaj 1.069 1.171 1.260 0.848 1.252
TATA 1.251 1.172 0.394 3.177 1.466
Reliance 1.105 1.123 0.901 1.226 1.240
IFFCO 0.591 1.171 0.799 0.740 0.692
2007-08 To 2008-09
ICICI 1.288 1.163 1.340 0.961 1.498
245
National 0.866 0.867 0.855 1.013 0.751
New India 1.657 0.867 1 1.657 1.437
Oriental 1 0.839 1 1 0.839
United 0.759 0.867 0.650 1.167 0.658
Royal 1.028 0.867 1 1.028 0.892
Bajaj 0.993 0.837 0.975 1.019 0.831
TATA 1.384 0.867 1.426 0.971 1.201
Reliance 1.798 0.867 1.110 1.620 1.560
IFFCO 1.152 0.854 1.212 0.951 0.984
2008-09 To 2009-10
ICICI 1.069 0.867 1.031 1.037 0.928
National .931 1.202 .945 .985 1.120
New India 1 1.126 1 1 1.126
Oriental 1 1.222 1 1 1.222
United .959 1.083 .967 .992 1.039
Royal .697 1.059 1 .697 .738
Bajaj .696 1.183 .738 .944 .824
TATA 1.139 1.059 1.667 .683 1.206
Reliance .561 1.059 1 .561 .594
IFFCO .954 1.186 1.033 .924 1.131
2009-10 To 2010-11
ICICI 1.647 1.059 1.828 .901 1.744
National 1.305 1.183 1.293 1.010 1.545
New India 1 1.259 1 1 1.259
Oriental 1 1.158 1 1 1.158
United 1.315 1.306 1.321 .995 1.717
Royal 1.166 1.306 1 1.166 1.522
Bajaj .744 1.233 .755 .985 .917
TATA .690 1.306 .511 1.351 .901
Reliance 1.047 1.306 1 1.047
2010-11 To 2011-12
1.368
IFFCO .573 1.205 .737 .777 .690
ICICI .539 1.306 .528 1.022 .704 (Note: Author’s Own Calculations)
246
Table 6.28
Average of TE, TC and TFPC
Company Average of Technical Efficiency
Average of Technical Progress/
Technological Change
Average of TFPC
National 1.018 1.138 1.155
New India 1.029 1.151 1.166
Oriental 1.009 1.157 1.175
United 1.011 1.145 1.119
Public Sector Average
1.017 1.148 1.153
Royal 1.146 1.090 1.152
Bajaj 1.390 1.049 1.289
TATA 1.256 1.128 1.270
Reliance 1.181 1.168 1.324
IFFCO 1.600 1.089 1.375
ICICI 1.459 1.108 1.414
Private Sector Average
1.339 1.105 1.304
(Note: Author’s Own Calculations)
The Productivity Index Table i.e. table 6.27 presents the Total Factor
productivity Change which is comprised of Efficiency Change, Technological
Change, Pure Technical Change and Scale Efficiency Change. The above table i.e.
table 6.28 depicts that though both the sectors have shown an increase in the technical
efficiency, the increase in the value of private sector i.e. 33.9% is more as compared
to the public sector which has registered a gain of 1.7% only. Both the public and
private sector companies are showing increase in the value of the technical efficiency,
IFFCO has given a lead to all the companies by showing 60% gain in the value of
247
technical efficiency. The table also shows the values of the technical progress of the
insurers over the study period. The value of technical progress of both the sectors has
shown an increase but the increase in the value of the public sector i.e. 14.8% is
higher as compared to its counterparts. The results of TFPC are stating that the public
sector general insurer’s i.e. National, New India, Oriental and United India General
Insurance Company have been showing progress in the total factor productivity over
the study period i.e. 15.5%, 16.6%, 17.5% and 11.9% respectively over the study
period. The same trend has been shown by the private sector insurers where ICICI
General Insurance Company has shown the highest gain of 41.4% followed by IFFCO
marking an increase of 37.5% in TFP. The rest of the private sector insurers also
depicted a gain in the productivity. Though both the sectors are showing increasing
trends in the TFPC, the overall results of the Malmquist analysis states that the
private sector insurers have shown more increase in the TFPC as compared to their
counterparts.
PRODUCTIVITY EVALAUTION OF MARINE INSURANCE BUSINESS
Model I
Specification of the model: The specification of the inputs and outputs for the first
model have been as
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the Second input has been the operating expenses relating to the marine
insurance segment.
Output: Net Premium Income from the marine insurance business.
248
Table 6.29
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC
National 1 0.875 1 1 0.875
New India 0.789 0.924 1 0.789 0.729
Oriental 0.858 0.883 1 0.858 0.757
United 0.842 0.843 0.979 0.861 0.710
Royal 1.195 0.924 1.109 1.078 1.105
Bajaj 1.152 0.924 1 1.152 1.065
TATA 1.350 0.900 1 1.350 1.215
Reliance 1.189 0.924 3.643 0.326 1.099
IFFCO 1.751 0.878 1 1.751 1.538
2002-03 To 2003-04
ICICI 0.867 0.902 0.589 1.474 0.782
National 0.830 0.966 1 0.830 0.802
New India 1.272 0.896 1 1.272 1.139
Oriental 0.919 1.017 0.954 0.963 0.935
United 1.059 0.945 0.952 1.113 1.002
Royal 1.470 0.896 1.210 1.215 1.317
Bajaj 1.151 0.964 1 1.151 1.110
TATA 1 1.235 1 1 1.235
Reliance 1.858 0.896 1 1.858 1.665
IFFCO 0.884 1.086 1 0.884 0.960
2003-04 To 2004-05
ICICI 0.951 1.061 1.106 0.860 1.009
National 1.091 0.971 1 1.091 1.059
New India 0.727 1.225 1 0.727 0.891
Oriental 1.075 0.955 1.048 1.026 1.026
United 0.852 1.150 0.918 0.927 0.979
Royal 1.101 1.186 1 1.101 1.305
Bajaj 0.889 0.990 0.931 0.955 0.880
TATA 1 0.850 1 1 0.850
2004-05 To 2005-06
Reliance 1.025 1.225 1 1.025 1.256
249
IFFCO 1.077 0.981 1 1.077 1.057
ICICI 0.420 0.873 0.372 1.127 0.366
National 1.104 0.825 1 1.104 0.911
New India 1.466 0.852 1 1.466 1.249
Oriental 1.180 0.866 1 1.180 1.022
United 1.199 0.769 0.826 1.451 0.921
Royal 0.406 0.764 1 0.406 0.310
Bajaj 0.894 0.855 0.883 1.013 0.764
TATA 1 1.054 1 1 1.054
Reliance 1.678 0.821 1 1.678 1.377
IFFCO 0.918 0.971 0.967 0.949 0.891
2005-06 To 2006-07
ICICI 1.260 0.915 1.161 1.085 1.152
National 1 1.243 1 1 1.243
New India 1 1.133 1 1 1.133
Oriental 0.905 1.242 1 0.905 1.124
United 1.271 1.244 1.399 0.909 1.581
Royal 1.059 1.238 1 1.059 1.311
Bajaj 1.135 1.249 1.117 1.016 1.417
TATA 1 1.239 1 1 1.239
Reliance 0.704 1.172 0.803 0.877 0.826
IFFCO 1.144 1.317 1.035 1.106 1.507
2006-07 To 2007-08
ICICI 0.740 1.263 0.847 0.874 0.935
National 0.997 0.943 1 0.997 0.941
New India 0.834 0.902 1 0.834 0.752
Oriental 1.036 0.920 1 1.036 0.954
United 1.187 0.923 1.144 1.037 1.095
Royal 1.768 0.924 1 1.768 1.634
Bajaj 1.109 0.961 1.090 1.017 1.066
TATA 1 0.859 1 1 0.859
Reliance 1.209 0.903 0.961 1.258 1.091
2007-08 To 2008-09
IFFCO 0.791 0.821 0.802 0.986 0.649
250
ICICI 1.170 0.897 1.053 1.111 1.050
National 0.923 0.934 0.925 0.999 0.862
New India 0.900 0.962 0.912 0.987 0.866
Oriental 1.066 0.993 1 1.066 1.059
United 1.070 0.962 1 1.070 1.029
Royal 1.075 0.962 1 1.075 1.034
Bajaj 1 0.933 1 1 0.933
TATA 1 1.095 1 1 1.095
Reliance 1.174 0.962 1.241 0.946 1.129
IFFCO 0.756 1.061 0.771 0.981 0.801
2008-09 To 2009-10
ICICI 2.042 0.947 1.982 1.030 1.934
National .838 1.336 1.070 .784 1.120
New India .980 1.206 1.096 .894 1.183
Oriental .613 1.441 1 .613 .883
United .610 1.233 .926 .659 .752
Royal .932 1.206 1 .932 1.125
Bajaj .828 1.215 .848 .976 1.006
TATA 1 1.612 1 1 1.612
Reliance .736 1.206 .809 .910 .888
IFFCO .649 1.521 .633 1.026 .988
2009-10 To 2010-11
ICICI 1.053 1.206 1.055 .998 1.270
National 1.155 1.001 .968 1.153 1.117
New India .936 1.001 1 .936 .937
Oriental 1.293 1.001 1 1.293 1.294
United 1.354 1.001 1.079 1.255 1.356
Royal 1.067 1.001 1 1.067 1.068
Bajaj .992 1.001 .989 1.004 .994
TATA 1 1.001 1 1 1.009
Reliance 1.2 1.001 1.292 .929 1.202
IFFCO 1.042 1.001 1.043 .999 1.043
2010-11 To 2011-12
ICICI .914 1.001 .922 .991 .915 (Note: Author’s Own Calculations)
251
Table 6.30
Average of TE, TC and TFPC
Company Average of Technical Efficiency
Average of Technical Progress/ Technological
Change
Average of TFPC
National .993 1.010 .992
New India .989 1.011 .986
Oriental .993 1.035 1.006
United 1.049 1.007 1.047
Public Sector Average
1.006 1.016 1.007
Royal 1.119 1.011 1.134
Bajaj 1.016 1.010 1.026
TATA 1.038 1.093 1.129
Reliance 1.197 1.012 1.170
IFFCO 1.001 1.070 1.048
ICICI 1.046 1.007 1.045
Private Sector Average
1.069 1.034 1.092
(Note: Author’s Own Calculations)
The table No. 6.30 depicts that though both the sectors have shown an increase
in the average of technical efficiency, the increase in the value of private sector i.e. 6.9%
is more as compared to the public sector which has recorded a gain of 0.6% only. Both
the public and private sector companies are showing increase in the value of the technical
efficiency, Reliance has given a lead to all the companies by showing 19.7% gain in the
value of technical efficiency. The table also shows the average values of the technical
progress of the insurers over the study period. The averages of technical progress of both
the sectors have shown an increase but the increase in the value of the private sector i.e.
3.4% is higher as compared to the public sector. The results of average of TFPC are
stating that the public sector general insurer’s i.e. National and New India Insurance
Company have been showing regress in the total factor productivity over the study period
252
i.e. 1% and 2% respectively, whereas Oriental Insurance Company and United India has
marked a progress in the TFPC by showing an increase of 0.6% and 4.7% over the study
period. All the private sector insurers have shown a satisfactory picture by indicating a
gain in the productivity value. Reliance General Insurance Company has shown the
highest gain of 17% followed by Royal General Insurance Company marking an increase
of 13.4% in TFPC. The comparative analysis of average of TFPC of public and private
sector report that private sector is more productive than public sector during the study
period.
Model II
Specification of the model: The specification of the inputs and outputs for the second
model have been as
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the Second input has been the operating expenses relating to the marine
insurance segment.
Output: Net Claims Incurred from the marine insurance business.
Table 6.31
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC
National 1 0.962 1 1 0.962
New India 0.589 1.006 0.895 0.658 0.592
Oriental 0.579 1.049 0.738 0.785 0.607
United 0.635 0.952 0.844 0.752 0.604
Royal 1.108 1.006 0.933 1.187 1.114
Bajaj 2.067 1.006 1 2.067 2.079
TATA 1.016 1.060 0.928 1.095 1.077
Reliance 0.812 1.006 2.423 0.335 0.816
IFFCO 2.360 1.033 1 2.360 2.437
2002-03 To 2003-04
ICICI 1.668 0.986 0.767 2.176 1.644
253
National 0.541 1.073 1 0.541 0.580 New India 1.399 1.005 1.117 1.252 1.406 Oriental 1.011 1.142 1.356 0.746 1.155 United 1.084 1.049 1.194 0.908 1.138 Royal 1.228 1.005 1.672 0.735 1.234 Bajaj 1.052 1.066 1 1.052 1.121 TATA 0.802 1.346 1.078 0.744 1.079 Reliance 1.385 1.005 1 1.385 1.392 IFFCO 1 1.286 1 1 1.286
2003-04 To 2004-05
ICICI 0.891 1.187 1.285 0.693 1.057 National 1.507 0.979 1 1.507 1.476 New India 0.795 1.345 1 0.795 1.069 Oriental 0.877 0.953 0.949 0.925 0.836 United 0.886 1.145 0.813 1.090 1.014 Royal 1.684 1.150 1 1.684 1.937 Bajaj 1.007 1.016 1 1.007 1.023 TATA 1.381 0.771 1 1.381 1.065 Reliance 3.392 1.259 1 3.392 4.270 IFFCO 0.943 0.921 0.956 0.987 0.868
2004-05 To 2005-06
ICICI 0.871 0.798 0.680 1.281 0.696 National 1.226 0.909 1 1.226 1.114 New India 0.820 0.743 0.402 2.041 0.609 Oriental 1.945 0.935 1.054 1.846 1.819 United 1.676 0.840 0.936 1.791 1.408 Royal 0.667 0.862 1 0.667 0.575 Bajaj 1 0.933 1 1 0.933 TATA 0.871 1.046 0.944 0.923 0.911 Reliance 0.613 0.743 0.931 0.659 0.456 IFFCO 1.061 1.075 1.046 1.013 1.140
2005-06 To 2006-07
ICICI 0.305 0.983 0.283 1.078 0.300 National 0.921 1.230 1 0.921 1.133 New India 1.907 1.230 2.489 0.766 2.346
2006-07 To 2007-08 Oriental 0.543 1.232 1 0.543 0.669
254
United 0.885 1.230 1.405 0.630 1.088 Royal 0.516 1.230 1 0.516 0.635 Bajaj 0.588 1.236 0.604 0.973 0.727 TATA 1.127 1.085 1.059 1.064 1.222 Reliance 0.976 1.230 0.828 1.179 1.201 IFFCO 1 1.184 1 1 1.184
ICICI 1.552 1.280 2.455 0.632 1.987 National 1.086 1.043 1 1.086 1.133 New India 1.222 1.043 1 1.222 1.275 Oriental 1.617 0.970 1 1.617 1.569 United 1.121 1.043 0.773 1.449 1.169 Royal 1.397 1.043 1 1.397 1.457 Bajaj 1.393 1.036 1.499 0.929 1.443 TATA 1.019 1.106 1 1.019 1.126 Reliance 1.125 1.043 1.133 0.993 1.174 IFFCO 0.832 0.807 0.905 0.920 0.672
2007-08 To 2008-09
ICICI 1.451 0.927 0.905 1.603 1.345 National 0.420 0.707 0.457 0.919 0.297 New India 0.740 0.841 0.873 0.847 0.622 Oriental 0.875 0.741 1 0.875 0.648 United 1.417 0.810 1.293 1.096 1.147 Royal 1.202 0.813 1 1.202 0.978 Bajaj 1.221 0.750 1.104 1.106 0.916 TATA 1 0.884 1 1 0.884 Reliance 1.485 0.915 1.145 1.297 1.359 IFFCO 1.043 0.805 0.960 1.087 0.840
2008-09 To 2009-10
ICICI 0.987 0.760 0.935 1.056 0.750 National 1.902 1.109 1.934 .984 2.109 New India 1.407 .866 1.145 1.229 1.218 Oriental 1.005 1.253 1 1.005 1.259 United .827 .935 .972 .851 .774 Royal 1.292 .872 1 1.292 1.126 Bajaj .703 .915 .722 .974 .643 TATA 1 1.415 1 1 1.415
2009-10 To 2010-11
Reliance .719 .740 .940 .765 .532
255
IFFCO .708 1.327 .715 .991 .940 ICICI 1.867 .886 1.869 .999 1.653 National 1.027 1.263 1.020 1.006 1.297 New India .80 1.263 1 .80 1.010 Oriental 1.017 1.263 1 1.017 1.285 United 1.020 1.263 1.028 .992 1.288 Royal .297 1.263 1 .297 .375 Bajaj .759 1.263 .751 1.011 .959 TATA 1 1.263 1 1 1.263 Reliance 1.309 1.263 1.064 1.230 1.653 IFFCO .770 1.263 .786 .980 .973
2010-11 To 2011-12
ICICI .681 1.263 .687 .992 .860 (Note: Author’s Own Calculations)
Table 6.32
Average of TE, TC and TFPC
Company Average of Technical Efficiency
Average of Technical Progress/
Technological Change
Average of TFPC
National 1.07 1.030 1.122
New India 1.075 1.038 1.127
Oriental 1.052 1.059 1.094
United 1.061 1.029 1.07
Public Sector Average
1.064 1.039 1.103
Royal 1.043 1.027 1.047
Bajaj 1.087 1.024 1.093
TATA 1.024 1.108 1.115
Reliance 1.312 1.022 1.428
IFFCO 1.079 1.077 1.148
ICICI 1.141 1.007 1.143
Private Sector Average
1.141 1.044 1.162
(Note: Author’s Own Calculations)
256
The table no. 6.32 states that though both the sectors have shown an increase in
the average of technical efficiency, the increase in the value of private sector i.e. 14.1% is
more as compared to the public sector which has marked a gain of 6.4% only. Both the
public and private sector companies are showing increase in the value of the technical
efficiency, Reliance has given a lead to all the companies by showing 31.2% gain in the
value of technical efficiency. The table also shows the average values of the technical
progress of the insurers over the study period. The average of technical progress of both
the sectors has shown an increase but the increase in the value of the private sector i.e.
4.4% is higher as compared to its counterparts. The results of averages of TFPC are
stating that the public sector general insurer’s i.e. National, New India, Oriental and
United India General Insurance Company have been showing progress in the total factor
productivity over the study period i.e. 12.2%, 12.7%, 9.4% and 7% respectively over the
study period. The same trend has been shown by the private sector insurers where
Reliance General Insurance Company has shown the highest gain of 42.8% followed by
IFFCO marking an increase of 14.8% in TFP. The rest of the private sector insurers also
depicted a gain in the productivity. Though both the sector are showing increasing trends
in the TFPC, the overall results of the Malmquist analysis states that the private sector
insurers have been more productive in comparison to the public sector insurers.
PRODUCTIVITY EVALAUTION OF MISCELLANEOUS INSURANCE BUSINESS
Model I
Specification of the model: The specification of the inputs and outputs for the first
model have been as
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the other input has been the operating expenses relating to the
miscellaneous insurance segment.
Output: Net Premium Income from the miscellaneous insurance business.
257
Table 6.33
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC
National 1 1.035 1 1 1.035
New India 0.804 0.866 1 0.804 0.696
Oriental 0.778 1.077 0.779 1 0.838
United 0.871 0.930 0.868 1.003 0.810
Royal 1.320 0.952 1.266 1.042 1.256
Bajaj 1.103 1.069 1 1.103 1.180
TATA 1.171 1.030 1.297 0.903 1.206
Reliance 1.652 0.837 2.757 0.599 1.383
IFFCO 1.535 0.888 1 1.535 1.363
2002-03 To 2003-04
ICICI 0.630 0.898 0.274 2.296 0.566
National 0.886 1.185 1 0.886 1.050
New India 0.771 1.570 1 0.771 1.210
Oriental 0.736 1.374 1.162 0.633 1.010
United 0.578 1.570 0.919 0.629 0.907
Royal 0.801 1.481 0.915 0.875 1.186
Bajaj 1.020 1.364 1 1.020 1.391
TATA 1.190 1.185 1.002 1.188 1.410
Reliance 1.260 1.570 1 1.260 1.978
IFFCO 0.845 1.455 1 0.845 1.230
2003-04 To 2004-05
ICICI 2.066 1.565 2.124 0.973 3.233
National 1.035 0.993 1 1.035 1.028
New India 1.433 0.722 1 1.433 1.035
Oriental 1.372 0.714 1.052 1.304 0.980
United 1.267 0.722 0.953 1.329 0.915
Royal 1.411 0.891 1.174 1.202 1.258
Bajaj 1 0.846 1 1 0.846
TATA 0.830 1.004 0.753 1.102 0.833
2004-05 To 2005-06
Reliance 1.477 0.722 1 1.477 1.067
258
IFFCO 1.479 0.768 1 1.479 1.135
ICICI 1.591 0.852 1.505 1.057 1.355
National 1.088 0.970 1 1.088 1.055
New India 1.126 1.055 1 1.126 1.189
Oriental 1.273 0.985 1.050 1.212 1.253
United 1.207 1.008 1.029 1.173 1.217
Royal 1.193 1.021 1 1.193 1.218
Bajaj 0.972 0.982 1 0.972 0.955
TATA 0.939 1.016 0.884 1.062 0.954
Reliance 1.623 1.028 0.832 1.951 1.669
IFFCO 1 0.963 1 1 0.963
2005-06 To 2006-07
ICICI 1.122 0.933 1.089 1.030 1.046
National 0.878 1.136 1 0.878 0.998
New India 1 1.128 1 1 1.128
Oriental 0.852 1.073 0.946 0.902 0.915
United 0.987 1.075 1.046 0.944 1.061
Royal 1 1.105 1 1 1.105
Bajaj 1.028 1.089 1 1.028 1.120
TATA 1.007 1.084 1.012 0.996 1.092
Reliance 0.897 1.120 0.957 0.938 1.005
IFFCO 1 1.129 1 1 1.129
2006-07 To 2007-08
ICICI 0.926 1.125 1.018 0.910 1.042
National 1.141 0.999 1 1.141 1.140
New India 0.915 0.885 1 0.915 0.810
Oriental 1.002 1.009 0.979 1.024 1.011
United 1.132 0.968 1.137 0.995 1.095
Royal 1 1.010 1 1 1.010
Bajaj 1 0.995 1 1 0.995
TATA 0.908 1.001 0.935 0.971 0.909
Reliance 0.937 1.005 0.878 1.067 0.941
2007-08 To 2008-09
IFFCO 1 1.001 1 1 1.001
259
ICICI 0.930 1.012 0.904 1.029 0.941
National 0.900 0.994 1 0.900 0.895
New India 0.863 1.077 1 0.863 0.930
Oriental 0.985 1.058 1.081 0.911 1.042
United 1.002 1.077 1.128 0.888 1.079
Royal 1 1.008 1 1 1.008
Bajaj 0.972 0.997 1 0.972 0.970
TATA 1.021 0.995 0.979 1.042 1.016
Reliance 0.982 1.024 1.077 0.912 1.006
IFFCO 1 1.081 1 1 1.081
2008-09 To 2009-10
ICICI 1.209 1.077 1.139 1.062 1.302
National 1.111 1.106 1 1.111 1.229
New India 1.032 1.030 1 1.032 1.064
Oriental .861 1.102 .810 1.063 .949
United .801 1.030 .852 .941 .826
Royal 1 1.065 1 1 1.065
Bajaj .943 1.126 .920 1.025 1.062
TATA 1.101 1.139 1.621 .679 1.253
Reliance .799 1.044 .740 1.079 .834
IFFCO 1 1.084 1 1 1.084
2009-10 To 2010-11
ICICI 1.012 1.030 1 1.012 1.042
National 1 .971 1 1 .971
New India 1.135 .908 1 1.135 1.031
Oriental 1.224 .937 1.147 1.067 1.147
United 1.425 .908 1.178 1.210 1.294
Royal 1 .956 1 1 .956
Bajaj 1.033 .953 1.033 1 .985
TATA 1.079 .954 .766 1.408 1.029
Reliance 1.299 .908 1.3 .999 1.180
IFFCO 1 .927 1 1 .927
2010-11 To 2011-12
ICICI 1 .914 1 1 .914 (Note: Author’s Own Calculations)
260
Table 6.34
Average of TE, TC and TFPC
Average of TFPC Company Average of Technical Efficiency
Average of Technical Progress/ Technological
Change
National 1.004 1.043 1.044
New India 1.008 1.026 1.010
Oriental 1.009 1.036 1.016
United 1.03 1.032 1.022
Public Sector Average
1.013 1.034 1.023
Royal 1.080 1.054 1.118
Bajaj 1.007 1.046 1.056
TATA 1.027 1.045 1.078
Reliance 1.214 1.028 1.229
IFFCO 1.095 1.032 1.101
ICICI 1.165 1.045 1.271
Private Sector Average
1.098 1.042 1.142
(Note: Author’s Own Calculations)
The table no. 6.34 presents that though both the sectors have shown an increase in
the average of technical efficiency, the increase in the value of private sector i.e. 9.8% is
more as compared to the public sector which has shown a gain of 1.3% only. Both the
public and private sector companies are showing increase in the value of the technical
efficiency, Reliance has given a lead to all the companies by showing 21.4% gain in the
value of technical efficiency. The table also shows the average values of the technical
progress of the insurers over the study period. The average of technical progress of both
the sectors has shown an increase but the increase in the value of the private sector i.e.
4.2% is higher as compared to its counterparts. The results of the average of TFPC are
stating that the public sector general insurer’s i.e. National, New India, Oriental and
United India General Insurance Company have been showing progress in the total factor
productivity over the study period i.e. 4.4%, 1%, 1.6% and 2.2% respectively. The same
261
trend has been shown by the private sector insurers where ICICI General Insurance
Company has shown the highest gain of 27.1% followed by Reliance marking an increase
of 22.9% in TFPC. The rest of the private sector insurers also depicted a gain in the
productivity. The analysis also shows that the productivity of private sector insurers has
been higher than the public sector insurers.
Model II
Specification of the model: The specification of the inputs and outputs for the second
model have been as
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the other input has been the operating expenses relating to the
miscellaneous insurance segment.
Output: Net Claims Incurred from the miscellaneous insurance business.
Table 6.35
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC National 1.003 1.138 1.003 1 1.142 New India 0.795 0.878 1 0.795 0.698 Oriental 0.739 1.171 0.739 1 0.865 United 0.897 0.894 0.898 0.999 0.802 Royal 1.410 0.985 1.436 0.982 1.389 Bajaj 0.922 1.164 1 0.922 1.072 TATA 1.055 1.115 1.434 0.736 1.176 Reliance 1.141 0.878 1.565 0.729 1.002 IFFCO 1.793 0.878 1 1.793 1.575
2002-03 To 2003-04
ICICI 0.609 0.958 0.192 3.169 0.583 National 1 0.938 1 1 0.938 New India 1.295 0.910 1 1.295 1.178 Oriental 1.353 0.907 1.353 1 1.228 United 1.058 0.910 1.060 0.997 0.962
2003-04 To 2004-05
Royal 1.176 0.908 1.141 1.031 1.069
262
Bajaj 1.441 0.941 1 1.441 1.355 TATA 1.587 0.939 1.357 1.170 1.491 Reliance 1.914 0.910 1 1.914 1.741 IFFCO 1.072 0.908 1 1.072 0.974
ICICI 2.752 0.909 2.598 1.059 2.503 National 1 1.246 1 1 1.246 New India 0.913 1.153 1 0.913 1.053 Oriental 0.776 1.153 0.778 0.997 0.895 United 0.755 1.153 0.752 1.004 0.870 Royal 0.881 1.178 1 0.881 1.037 Bajaj 0.713 1.172 0.770 0.927 0.836 TATA 0.573 1.337 0.474 1.209 0.766 Reliance 0.421 1.153 1 0.421 0.486 IFFCO 1.160 1.155 0.701 1.656 1.340
2004-05 To 2005-06
ICICI 1.018 1.195 1.033 0.985 1.216 National 1 0.766 1 1 0.766 New India 1.126 1.044 1 1.126 1.175 Oriental 1.289 0.965 1.286 1.003 1.244 United 1.030 0.998 1.052 0.979 1.028 Royal 1.845 0.683 1 1.845 1.260 Bajaj 1.302 0.686 1.058 1.231 0.893 TATA 1.659 0.647 1.085 1.529 1.073 Reliance 2.061 0.835 0.411 5.014 1.720 IFFCO 1.338 0.934 1.427 0.938 1.250
2005-06 To 2006-07
ICICI 1.487 0.757 1.315 1.131 1.126 National 1 1.060 1 1 1.060 New India 1 1.162 1 1 1.162 Oriental 0.973 0.999 0.979 0.995 0.973 United 1.063 1.025 1.043 1.019 1.090 Royal 1.079 1.105 1 1.079 1.193 Bajaj 1.168 1.104 1.147 1.018 1.289 TATA 0.991 1.103 0.952 1.041 1.093
2006-07 To 2007-08
Reliance 1.838 1.104 1.779 1.033 2.029
263
IFFCO 1.085 1.056 1 1.085 1.146 ICICI 1.153 1.058 1.172 0.983 1.219
National 1 1.245 1 1 1.245
New India 0.942 0.874 1 0.942 0.823
Oriental 0.928 1.107 0.926 1.002 1.028
United 0.849 1.024 0.853 0.996 0.869
Royal 0.834 1.332 1 0.834 1.110
Bajaj 0.921 1.333 0.950 0.969 1.228
TATA 0.818 1.335 1.034 0.791 1.092
Reliance 0.825 1.334 0.842 0.981 1.101
IFFCO 1.015 1.144 1 1.015 1.161
2007-08 To 2008-09
ICICI 0.930 1.122 0.923 1.008 1.043
National 1 0.839 1 1 0.839
New India 0.852 1.009 1 0.852 0.859
Oriental 1.072 0.875 1.104 0.971 0.938
United 1.236 1.009 1.472 0.840 1.247
Royal 1.199 0.914 1 1.199 1.096
Bajaj 1.044 0.868 1.025 1.019 0.906
TATA 1.367 0.860 1.192 1.147 1.176
Reliance 1.285 0.861 1.259 1.021 1.107
IFFCO 1.137 0.888 1 1.137 1.010
2008-09 To 2009-10
ICICI 1.384 0.970 1.363 1.015 1.342
National 1 1.290 1 1 1.290
New India 1.020 1.131 1 1.020 1.153
Oriental .783 1.250 .803 .975 .978
United .784 1.162 .847 .925 .911
Royal .843 1.314 1 .843 1.107
Bajaj .889 1.257 .891 .998 1.118
TATA .906 1.245 1.658 .546 1.128
Reliance .925 1.253 .977 .946 1.159
2009-10 To 2010-11
IFFCO .942 1.256 1 .942 1.183
264
ICICI 1 1.198 1 1 1.198
National 1 .955 1 1 .955 New India .920 1.039 1 .920 .955 Oriental 1.089 1.026 1.120 .972 1.188 United 1.270 1.039 1.196 1.062 1.319 Royal 1.171 .929 1 1.171 1.089 Bajaj 1.042 .997 1.025 1.017 1.039 TATA 1.349 .983 .708 1.904 1.326 Reliance 1.063 1.039 1.090 .975 1.104 IFFCO 1.062 1.031 1 1.062 1.095
2010-11 To 2011-12
ICICI 1 1.052 1 1 1.052 (Note: Author’s Own Calculations)
Table 6.36
Average of TE, TC and TFPC
Company Average of Technical Efficiency
Average of Technical Progress/ Technological
Change
Average of TFPC
National 1.000 1.053 1.053
New India .984 1.022 1.006
Oriental 1.000 1.050 1.037
United .993 1.023 1.010
Public Sector Average
.994 1.037 1.026
Royal 1.159 1.038 1.15
Bajaj 1.049 1.058 1.081
TATA 1.145 1.062 1.146
Reliance 1.274 1.040 1.272
IFFCO 1.178 1.027 1.192
ICICI 1.259 1.024 1.253
Private Sector Average
1.177 1.042 1.182
(Note: Author’s Own Calculations)
265
The above table no. 6.36 states that the private sector has shown an increase in the
average of technical efficiency i.e. 17.7% whereas the public sector has shown a fall in
the average of technical efficiency i.e. nearly 1%. Reliance has given a lead to all the
companies by showing 27.4% gain in the value of technical efficiency. The table also
shows the average values of the technical progress/ technological change of the insurers
over the study period. The average of technical progress of both the sectors has shown an
increase but the increase in the value of the private sector i.e. 4.2% is higher as compared
to its counterparts. The results of average of TFPC are stating that the public sector
general insurer’s i.e. National, New India, Oriental and United India General Insurance
Company have been showing progress in the total factor productivity over the study
period i.e. 5.3%, 0.6%, 3.7% and 1% respectively over the study period. The same trend
has been shown by the private sector insurers where Reliance General Insurance
Company has shown the highest gain of 27.2% followed by ICICI marking an increase of
25.3% in TFPC. The rest of the private sector insurers also depicted a gain in the
productivity. Though both the sector are showing increasing trends in the TFPC, the
overall results of the Malmquist analysis state that the private sector insurers have been
more productive as compared to their counterparts. It could be concluded that the
increase in the productivity of public sector is mainly due to the increase in the value of
the technological change/ technical progress whereas the value of the technical efficiency
has fallen over the time. In the case of the private sector the increase in the technical
efficiency and technical progress/ technological change both have lead to the gain in the
value of the total factor productivity over the time.
Categorization of the general insurers on the basis of development in Efficiency and
Productivity:
In this section Insurers have been categorized on the basis of development in the
mean of the Technical Efficiency and the mean of the Total Factor Productivity. This
type of division helps the insurers to know where they lie in terms of efficiency and
productivity and such categorization helps them to improve their efficiency/ productivity
or both as the case may be. Although the Malmquist productivity index can determine
changes in DMU productivity, large productivity growth did not necessarily mean good
266
technical efficiency or vice versa. Hence, with the average value as the cut-off point, the
development types of the general insurance companies can be categorized into the
following types, as shown in the tables below:
(1) Low growth and low efficiency refer to those with relatively smaller DMU
productivity growth and technical efficiency, suggesting the DMU should focus
on the improvement of productivity and technical efficiency to enhance
competitiveness.
(2) High growth and low efficiency refer to those with relatively greater DMU
productivity growth and relatively lower technical efficiency, suggesting that the
DMU productivity improved considerably, however, its technical efficiency had
relatively more room for improvement.
(3) Low growth and high efficiency refer to those with relatively higher DMU
technical efficiency and relatively lower productivity growth, suggesting that the
DMU productivity had relatively more room for improvement. Those with
technical efficiency lower than 1 should continuously improve relative efficiency.
(4) High growth and high efficiency refer to those with a DMU Malmquist
productivity index and technical efficiency value higher than the average values,
suggesting that the DMU had relative developmental advantages (Lin et al.,
2011).
Fire Premium (as output indicator)
Table 6.37
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency Bajaj
High Growth and Low Efficiency TATA, Reliance, ICICI
Low Growth and High Efficiency National, New India, Oriental, United
Low Growth and Low Efficiency Royal, IFFCO (Note: Author’s Own Calculations)
267
The table no. 6.37 states that Bajaj has been the most efficient as well as most
productive insurer whereas Royal and IFFCO depicted low results both on productivity
parameter and on efficiency criteria. All the public sector insurers have been showing
good results on the efficiency parameter but still having the scope of improvement on the
productivity level. On the other hand TATA, Reliance and ICICI have been good at the
productivity level but could perform better by improving their efficiency.
Fire Claims (as output indicator)
Table 6.38
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency Bajaj, Reliance
High Growth and Low Efficiency TATA, IFFCO, ICICI
Low Growth and High Efficiency National, New India, Oriental, United
Low Growth and Low Efficiency Royal (Note: Author’s Own Calculations)
The table no. 6.38 indicates that Bajaj and Reliance have been the most efficient as
well as most productive insurer whereas Royal depicted low results both on productivity
parameter and on efficiency criteria. All the public sector insurers have been showing good
results on the efficiency parameter but still having the scope of improvement on the
productivity level. On the other hand TATA, IFFCO and ICICI have been good at the
productivity level but could perform better by improving their efficiency.
Marine Premium (as output indicator)
Table 6.39
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency TATA
High Growth and Low Efficiency Royal, Reliance
Low Growth and High Efficiency National, New India, Oriental, Bajaj
Low Growth and Low Efficiency United, IFFCO, ICICI (Note: Author’s Own Calculations)
268
The table no. 6.39 reports that TATA has been the most efficient as well as most
productive insurer whereas United, ICICI and IFFCO depicted low results both on
productivity parameter and on efficiency criteria. National, New India, Oriental and Bajaj
have been showing good results on the efficiency parameter but still having the scope of
improvement on the productivity level. On the other hand Royal and Reliance have been
good at the productivity level but could perform better by improving their efficiency.
Marine Claims (as output indicator)
Table 6.40
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency IFFCO
High Growth and Low Efficiency Reliance, ICICI
Low Growth and High Efficiency National, Oriental, Bajaj, TATA
Low Growth and Low Efficiency United, Royal, New India (Note: Author’s Own Calculations)
The table no. 6.40 states that IFFCO has been the most efficient as well as most
productive insurer whereas United, Royal and New India depicted low results both on
productivity parameter and on efficiency criteria. National, Oriental, Bajaj and TATA
have been showing good results on the efficiency parameter but still having the scope of
improvement on the productivity level. On the other hand Reliance and ICICI have been
good at the productivity level but could perform better by improving their efficiency.
Miscellaneous Premium (as output indicator)
Table 6.41
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency Royal, IFFCO
High Growth and Low Efficiency Reliance, ICICI
Low Growth and High Efficiency National, New India, Oriental, Bajaj
Low Growth and Low Efficiency United, TATA (Note: Author’s Own Calculations)
269
The table no. 6.41 exhibits that Royal and IFFCO have been the most efficient as
well as most productive insurer whereas United and TATA depicted low results both on
productivity parameter and on efficiency criteria. National, New India, Oriental and Bajaj
have been showing good results on the efficiency parameter but still having the scope of
improvement on the productivity level. On the other hand Reliance and ICICI have been
good at the productivity level but could perform better by improving their efficiency.
Miscellaneous Claims (as output indicator)
Table 6.42
Categorization of the Insurance Companies
Categorization Insurance Companies in the Category
High Growth and High Efficiency Royal
High Growth and Low Efficiency TATA, Reliance, IFFCO, ICICI
Low Growth and High Efficiency National, New India, Oriental, United, Bajaj
Low Growth and Low Efficiency - (Note: Author’s Own Calculations)
The table no. 6.42 states that Royal has been the most efficient as well as most
productive insurer. All the public sector insurers and Bajaj also have been showing good
results on the efficiency parameter but still having the scope of improvement on the
productivity level. On the other hand TATA, Reliance, IFFCO and ICICI have been good
at the productivity level but could perform better by improving their efficiency.
II. OVERALL ANALYSIS/ COMBINED ANALYSIS OF PERFORMANCE
OF PUBLIC AND PRIVATE SECTOR INSURERS
The “performance” of the insurers has been evaluated under the following parameters:
1. Efficiency Evaluation
2. Productivity Analysis
3. Financial Soundness Evaluation
4. Efficiency-Profitability Relationship
270
EFFICIENCY EVALUATION OF PUBLIC AND PRIVATE GENERAL
INSURERS
Due to the increased competition, consolidation, solvency risks and a changing
regulatory environment that have characterized the insurance industry in recent years, it
is imperative for the insurance operators to always seek for ways and methods to improve
their operating performance. Efficiency measurement is one aspect of a company’s
performance. It can be measured with respect to maximization of output, minimization of
cost or maximization of profits, which means that the objective of producers is to avoid
waste. The performance measurement of manufacturing is always initially done by
simple method called financial ratio. Data Envelopment Approach (DEA) technique
could be run to assess efficiency with multi input and outputs. Moreover, performance
matrix is yet another appropriate technique which could be used in decision making to
attain good performance (Memon and Tahir, 2012).
Specification of the model: The specification of the inputs and outputs for the model
have been as
Inputs: Two inputs have been identified for this model. The first input used for this
particular model has been the shareholders funds comprising of the share capital and
reserves and surpluses. The Second input has been the operating expenses relating to the
whole/combined insurance segment.
Output: Total Income from the insurance business has been selected as the output
indictor for this particular model. Total Income comprises of Net Premium Income
(combined i.e. from all the segments), Net Investment Income and other income.
Where other income is equal to the sum of profit on sale of other assets,
miscellaneous income and exchange gain.
This particular model would depict the extent of efficiency of the insurers in
utilizing the above mentioned inputs in the production of the output i.e. total income.
271
Table 6.43
Efficiency Evaluation of the Insurers
2002-2003 2003-2004
Company TE PTE SE Returns to Scale
Company TE PTE SE R to S
National 1 1 1 Constant National .859 1 .859 Decreasing
New India 1 1 1 Constant New India 1 1 1 Constant
Oriental 1 1 1 Constant Oriental .934 .939 .995 Decreasing
United .981 .983 .998 Increasing United .901 .925 .974 Decreasing
Royal .520 .820 .634 Increasing Royal .621 .984 .631 Increasing
Bajaj .707 1 .707 Increasing Bajaj .865 1 .865 Increasing
TATA .563 .893 .636 Increasing TATA .649 1 .649 Increasing
Reliance .333 1 .333 Increasing Reliance .357 1 .357 Increasing
IFFCO .385 1 .385 Increasing IFFCO .541 1 .541 Increasing
ICICI .311 1 .311 Increasing ICICI .407 .522 .780 Increasing
2004-2005 2005-2006
Company TE PTE SE R to S Company TE PTE SE R to S National 1 1 1 Constant National 1 1 1 Constant
New India 1 1 1 Constant New India 1 1 1 Constant
Oriental 1 1 1 Constant Oriental .934 .936 .997 Increasing
United .828 .845 .980 Decreasing United .807 .808 .999 Increasing
Royal .674 1 .674 Increasing Royal .715 1 .715 Increasing
Bajaj 1 1 1 Constant Bajaj .856 .988 .867 Increasing
TATA .790 1 .790 Increasing TATA .578 .723 .799 Increasing
Reliance .484 1 .484 Increasing Reliance .530 1 .530 Increasing
IFFCO .700 1 .700 Increasing IFFCO .768 .862 .890 Increasing
ICICI .576 .661 .871 Increasing ICICI .789 .870 .908 Increasing
2006-2007 2007-2008
Company TE PTE SE R to S Company TE PTE SE R to S National 1 1 1 Constant National 1 1 1 Constant
New India 1 1 1 Constant New India 1 1 1 Constant
Oriental 1 1 1 Constant Oriental .949 .953 .996 Increasing
272
United .776 .799 .972 Decreasing United .851 .852 .999 Increasing
Royal 1 1 1 Constant Royal .970 1 .970 Increasing
Bajaj .977 1 .977 Decreasing Bajaj 1 1 1 Constant
TATA .658 .660 .998 Decreasing TATA .666 .699 .953 Increasing
Reliance .742 .800 .927 Increasing Reliance .706 .716 .986 Decreasing
IFFCO .772 .809 .954 Increasing IFFCO .915 1 .915 Increasing
ICICI .729 .732 .996 Decreasing ICICI .734 .752 .977 Increasing
2008-2009 2009-2010
Company TE PTE SE R to S Company TE PTE SE R to S National 1 1 1 Constant National .91 1 .91 Decreasing
New India 1 1 1 Constant New India 1 1 1 Constant
Oriental .941 .944 .997 Increasing Oriental 1 1 1 Constant
United .896 .898 .997 Increasing United 1 1 1 Constant
Royal .996 1 .996 Increasing Royal 1 1 1 Constant
Bajaj 1 1 1 Constant Bajaj .947 .959 .988 Increasing
TATA .581 .635 .915 Increasing TATA .629 .680 .925 Increasing
Reliance .583 .613 .952 Increasing Reliance .715 .719 .994 Increasing
IFFCO .838 1 .838 Increasing IFFCO .982 1 .982 Increasing
ICICI .727 .745 .976 Increasing ICICI 1 1 1 Constant
2010-11 2011-12
Company TE PTE SE R to S Company TE PTE SE R to S National .952 1 .952 Decreasing National .989 1 .989 Decreasing
New India 1 1 1 Constant New India 1 1 1 Constant
Oriental .833 .891 .934 Decreasing Oriental .920 .928 .992 Increasing
United .796 .856 .929 Decreasing United .986 .987 1 Constant
Royal .834 1 .834 Increasing Royal .873 1 .873 Increasing
Bajaj .825 .856 .963 Increasing Bajaj .832 .889 .936 Increasing
TATA .682 1 .682 Increasing TATA .720 .893 .806 Increasing
Reliance .586 .628 .934 Increasing Reliance .671 .787 .853 Increasing
IFFCO .889 1 .889 Increasing IFFCO .836 1 .836 Increasing
ICICI 1 1 1 Constant ICICI .955 .993 .962 Increasing (Note: Author’s Own Calculations)
273
The above table reports that during all the years under study at least one public
sector companies have been found on the frontier. Among the private sector, Bajaj
Allianz has been reporting the efficiency score of 1 for 3 years out of 10 years of study
i.e. 2004-05, 2007-08 and 2008-09. Royal and ICICI have been on the second and third
position respectively, as they have shown the efficiency of 1 for two and one year resp.
Examining the public sector it could be concluded that New India Insurance Company
has been the top most public sector insurer which has achieved the maximum efficiency
level of 1 in all the years under consideration. National Insurance Company has also
enjoyed the Constant Returns to scales in 6 years out of 10 years of study. Oriental
Insurance Company has been on frontier for four years out of 10 years. United India
Insurance Company has joined the list of the bench markers in a single year only. The
public sector insurers have recorded the mixed trends by depicting variable returns to
scale in the years under study, which is an indication that after a decade to liberalization
the private sector has made its presence realized in the insurance market.
Table 6.44
Overall Analysis of Insurers
Years Mean of TE Mean of PTE Mean of SE
2002-03 .680 .970 .700
2003-04 .713 .937 .765
2004-05 .805 .951 .850
2005-06 .798 .919 .870
2006-07 .865 .880 .982
2007-08 .879 .897 .980
2008-09 .856 .883 .967
2009-10 .918 .936 .980
2010-11 .840 .923 .912
2011-12 .878 .948 .925 (Note: Author’s Own Calculations)
274
The above table shows that the TE of all the insurers has increased over the time
which can be attributable to increase in SE though PTE has decreased a little over the
time. For the purpose of overall analysis the mean efficiency scores have been
categorized into 0- 0.3, 0.3-0.6, 0.6-0.9 and 0.9-1 and thereafter the comparison of all the
insurers have been made with respect to their efficiency scores in order to find out the
range within which they lie. By following the same it has been found that in all the year
the overall efficiency score lies in the higher interval of 0.6-0.9 and 0.9-1. This might be
because all the insurers are operating on increasing return to scale or it can be contributed
by PTE and SE. Moreover it has been shown in table that the mean of TE increased from
0.680 in the year 2002-03 to 0.878 in the 2011-12. It has also been found that all the
insurers are also better at SE, while comparing the initial year with the current year. But
the PTE of the insurers has decreased from .970 in 2002-03 to .948 in 2011-12. Thus it
could be concluded that all the general insurers should lay more stress on improving their
managerial efficiencies.
Table 6.45
Sector Wise Analysis
Years Sector TE PTE SE
Public .995 .995 .999 2002-03
Private .542 .956 .572
Public .923 .966 .957 2003-04
Private .573 .917 .637
Public .957 .961 .995 2004-05
Private .704 .943 .753
Public .935 .936 .999 2005-06
Private .706 .907 .784
Public .944 .949 .993 2006-07
Private .813 .833 .975
Public .95 .951 .998 2007-08
Private .831 .861 .966
275
Public .959 .960 .998 2008-09
Private .787 .832 .946
Public .977 1 .977 2009-10
Private .878 .893 .981
Public .895 .936 .953 2010-11
Private .802 .914 .883
Public .973 .978 .995 2011-12
Private .814 .927 .877 (Note: Author’s Own Calculations)
The table no. 6.45 states the mean of TE, mean of PTE and mean of SE of both
public sector insurers and private sector insurers. The mean of TE of public sector has
been depicting decreasing trends and in the year 2011-12 it has been marked at .973.
Analyzing the private sector it could be said that the mean TE of this sector has been
increasing and has been recorded with the value .814 in 2011-12. After a slight increase
and decrease in the values, the mean of PTE of public sector insurers has been marked at
.978 in 2011-12. Same is the case with the private sector that after a slight increase and
decrease in the value of mean PTE value of private sector, the value of the mean of the
PTE has been decreased to .927 in 2011-12 .The mean of the SE depicts that the public
sector has been stagnant while comparing the current year with the initial year, whereas
the private sector has been depicting the increasing trends over the study as its mean of
SE has been .572 in 2002-03 which has gradually increased over the time and has reached
to .877 in 2011-12. The mean TE of public sector has reduced due to the decrease in the
mean of the PTE of this sector whereas SE has remained stagnant. The results of the
Private sector emphasizes that the increase in the mean of TE has been due to the increase
in the mean of the Scale Efficiency over the study whereas the value of the mean of Pure
Technical Efficiency has decreased a little. The above analysis states that though the
technical efficiency of Private Sector has improved over the time, the TE of public sector
which has been reported as 97.3% is higher than the private sector i.e. 81.4% which states
that public sector has been more efficient as compared to private sector in terms of
efficiency in insurance business. The findings of this model depict that public sector has
276
used their inputs in more efficient manner in the production of total income as compared
to the private entities.
Table 6.46
Economies of Scale
Year Sector IRS CRS DRS Total no of companies
Public 1 3 0 4 2002-03
Private 6 0 0 6
Public 0 1 3 4 2003-04
Private 6 0 0 6
Public 0 3 1 4 2004-05
Private 5 1 0 6
Public 2 2 0 4 2005-06
Private 6 0 0 6
Public 0 3 1 4 2006-07
Private 2 1 3 6
Public 2 2 0 4 2007-08
Private 4 1 1 6
Public 2 2 0 4 2008-09
Private 5 1 0 6
Public 0 3 1 4 2009-10
Private 4 2 0 6
Public 0 1 3 4 2010-11
Private 5 1 0 6
Public 1 2 1 4 2011-12
Private 6 0 0 6 (Note: Author’s Own Calculations)
The above table exhibits that in the year 2005-06 the maximum number of insurer
have marked the increasing returns to scale i.e. 8 insurers (comprising of 2 public insurers
and 6 private insurers) out of total 10 insurers have depicted that the increase in their
output has been more than the proportional change in their input. In the year 2009-10 the
277
maximum numbers of insurers have enjoyed the Constant returns to scale and it is the
year 2006-07 when 4 insurers have exhibited decreasing returns to scale i.e. the increase
in their output has been less than the proportional increase in their input. In this above
mentioned year, 1 public sector insurer and 3 private sector insurers have shown the
DRS.
PRODUCTIVITY EVALAUTION/ MALMQUIST ANALYSIS OF PUBLIC AND
PRIVATE GENERAL INSURERS
At the present day, insurers are obliged to use their resources in the most efficient
and fruitful way to operate long lastingly and cope with protean competition conditions.
The more accurate efficiency level measurements renders in the more effective
applicability of anticipatory planning activities. Through lack of standardized, secure and
valid measurement techniques, substantiation of performance measurements becomes
troublesome, however.
One of the important criteria for performance measurement of insurers is the
changes in the total factor productivity. Productivity is a measure of how efficiently the
economy transforms its labor, capital and materials into goods and services. The change
in the total factor productivity is subdivided into two as change in technical efficiency
and technologic change. Improvements in these areas constitute the basis of reaching
high economical performance levels and thereby it forms the basis of having very high
level of competitiveness, too. The change in efficiency, thereof, is regarded as the
indicator of national economy’s internalization of global technology by adaptation and
transferring it into the total factor productivity (Deliktas, 2002 as quoted by Benli and
Degirman, 2013). Malmquist Total Factor Productivity is a technique depending on The
Data Envelopment Analysis (DEA). It measures the productivity change of a specific
value (increase/decrease rate) between two timeframe (Berg et.al., 1992 as quoted by
Benli and Degirman, 2013).
Specification of the model: The specification of the inputs and outputs for the model
have been as
278
Inputs: The shareholders funds comprising of the share capital and reserves and
surpluses and the Second input has been the operating expenses relating to the
whole/combined insurance segment.
Output: Total Income from the insurance business has been selected as the output
indictor for this particular model. Total Income comprises of Net Premium Income
(combined), Net Investment Income and other income.
Where other income is equal to the sum of profit on sale of other assets,
miscellaneous income and exchange gain.
Table 6.47
The Productivity Change and Malmquist Index Summary
Year EC TC PTEC SEC TFPC National .859 .905 1 .859 .777 New India 1 1.036 1 1 1.036 Oriental .934 1.026 .939 .995 .959 United .918 .962 .941 .976 .883 Royal 1.193 .969 1.20 .994 1.156 Bajaj 1.224 1.024 1 1.224 1.253 TATA 1.144 1.006 1.120 1.021 1.151 Reliance 1.072 .884 1 1.072 .948 IFFCO 1.406 .989 1 1.406 1.390
2002-03 To 2003-04
ICICI 1.311 .946 .522 2.511 1.241 National 1.165 1.056 1 1.165 1.230 New India 1 1.008 1 1 1.008 Oriental 1.070 1.040 1.065 1.005 1.114 United .919 1.056 .914 1.006 .971 Royal 1.086 1.041 1.016 1.069 1.131 Bajaj 1.156 1.039 1 1.156 1.201 TATA 1.217 1.019 1 1.217 1.240 Reliance 1.357 1.056 1 1.357 1.433 IFFCO 1.292 1.027 1 1.292 1.326
2003-04 To 2004-05
ICICI 1.415 1.029 1.266 1.118 1.456
279
National 1 1.083 1 1 1.083 New India 1 1.097 1 1 1.097 Oriental .934 .980 .936 .997 .915 United .974 1.006 .956 1.020 .980 Royal 1.061 1.045 1 1.061 1.109 Bajaj .856 1.146 .988 .867 .981 TATA .731 1.142 .723 1.012 .835 Reliance 1.093 1.085 1 1.093 1.186 IFFCO 1.097 1.059 .862 1.273 1.162
2004-05 To 2005-06
ICICI 1.370 1.082 1.315 1.042 1.482 National 1 1.198 1 1 1.198 New India 1 .967 1 1 .967 Oriental 1.071 1.134 1.068 1.003 1.215 United .962 1.149 .988 .973 1.105 Royal 1.399 .886 1 1.399 1.240 Bajaj 1.141 .863 1.012 1.127 .984 TATA 1.139 .859 .913 1.248 .979 Reliance 1.401 1.080 .800 1.750 1.513 IFFCO 1.006 1.021 .939 1.071 1.026
2005-06 To 2006-07
ICICI .924 .928 .842 1.097 .857 National 1 1.110 1 1 1.110 New India 1 1.008 1 1 1.008 Oriental .949 .979 .953 .996 .929 United 1.096 .996 1.066 1.028 1.092 Royal .970 1.140 1 .970 1.106 Bajaj 1.023 1.147 1 1.023 1.174 TATA 1.011 1.132 1.059 .955 1.145 Reliance .951 1.109 .894 1.063 1.055 IFFCO 1.185 1.062 1.236 .959 1.258
2006-07 To 2007-08
ICICI 1.007 1.018 1.026 .981 1.025 National 1 .741 1 1 .741 New India 1 1.079 1 1 1.079 Oriental .991 .980 .991 1 .971 United 1.053 .884 1.055 .998 .930
2007-08 To 2008-09
Royal 1.027 .992 1 1.027 1.018
280
Bajaj 1 .994 1 1 .994 TATA .872 1.024 .908 .960 .893 Reliance .827 1.055 .856 .966 .872 IFFCO .916 1.066 1 .916 .977
ICICI .990 .995 .991 .999 .985 National .910 1.029 1 .910 .937 New India 1 .927 1 1 .927 Oriental 1.063 .924 1.059 1.003 .982 United 1.117 1.031
2008-09
1.113 1.003 1.151 Royal 1.004 .996 1 1.004 1 Bajaj .947 .944 .959 .988 .894 TATA 1.083 .955 1.072 1.011 1.034 Reliance 1.225 .913 1.173 1.045 1.119 IFFCO 1.171 .923 1 1.171 1.081
To 2009-10
ICICI 1.375 .993 1.343 1.024 1.366 National 1.046 .997 1 1.046 1.042 New India 1 1.219 1 1 1.219 Oriental .833 1.151 .891 .934 .959 United .796 1.027 .856 .929 .817 Royal .834 1.271 1 .834 1.060 Bajaj .871 1.152 .893 .976 1.003 TATA 1.085 1.149 1.470 .738 1.247 Reliance .820 1.069 .873 .940 .877 IFFCO .906 1.125 1 .906 1.020
2009-10 To 2010-11
ICICI 1 1.043 1 1 1.043 National 1.039 1.078 1 1.039 1.121 New India 1 1.076 1 1 1.076 Oriental 1.105 1.115 1.041 1.062 1.232 United 1.240 1.078 1.153 1.076 1.337 Royal 1.047 1.030 1 1.047 1.078 Bajaj 1.009 1.120 1.038 .972 1.129 TATA 1.055 1.106 .893 1.182 1.167 Reliance 1.144 1.078 1.254 .912 1.233 IFFCO .940 1.115 1 .940 1.048
2010-11 To 2011-12
ICICI .955 1.081 .993 .962 1.033 (Note: Author’s Own Calculations)
281
Table 6.48
Average of TE, TC and TFPC
(Note: Author’s Own Calculations)
Company Average of Technical Efficiency
Average of Technical Progress/ Technological
Change
Average of TFPC
National 1.002 1.021 1.026
New India 1 1.046 1.046
Oriental .994 1.036 1.030
United 1.008 1.021 1.029
Public Sector Average
1.001 1.031 1.032
Royal 1.069 1.041 1.099
Bajaj 1.025 1.047 1.068
TATA 1.037 1.043 1.076
Reliance 1.098 1.036 1.137
IFFCO 1.102 1.043 1.143
ICICI 1.149 1.012 1.165
Private Sector Average
1.08 1.037 1.114
The results of the Technical Efficiency Change state that private sector insurers
have indicated increase in the Technical Efficiency Change whereas the technical
efficiency of public sector insurers remained the same over the period. Among the public
sector only one company i.e. Oriental General Insurance Company marked a decrease
over the study period. On the other hand all the private sector insurers registered increase
in the Technical Efficiency Change over the study period. Among the private sector
ICICI showed the highest average Technical Efficiency Change followed by the IFFCO
Tokio over the study period. The results of the Technical Progress state that both the
public and private sector are showing growth in the productivity as the value of the public
sector and private sector is 1.031 and 1.037 resp. which is greater than 1. Moreover there
is not much difference in the average value of Technical Progress of both the sectors. The
282
results of the average of TFPC are stating that the public sector general insurer’s i.e.
National, New India, Oriental and United India General Insurance Company have been
showing progress in the total factor productivity over the study period i.e. 2.6%, 4.6%,
3.0% and 2.9% respectively over the study period. The same trend has been shown by the
private sector insurers where ICICI General Insurance Company has shown the highest
gain of 16.5% followed by IFFCO marking an increase of 14.3% in TFP. The rest of the
private sector insurers also depicted a gain in the productivity. Though both the sectors
are showing increasing trends in the TFPC, whereas the overall results of the Malmquist
analysis states that the private sector insurers have shown more increase in the TFPC as
they have indicated a 11.4% growth in the productivity whereas their counterparts have
registered 3.2% growth in the productivity over the study period. It is evident from the
above table that the increase in the productivity growth of private sector insurers is
attributable to improvement in both the technical efficiency and technical progress
whereas the productivity growth of their counterparts is attributable to the growth in the
technical progress whereas their technical efficiency change has remained the same over
the time.
Categorization of the General Insurers on the basis of Efficiency and Productivity:
Table 6.49
Categorization of the Insurers
Categorization Insurance Companies in the Category
High Growth and High Efficiency -
High Growth and Low Efficiency Royal, Reliance, IFFCO, ICICI
Low Growth and High Efficiency National, New India, Oriental, United, Bajaj
Low Growth and Low Efficiency TATA (Note: Author’s Own Calculations)
The table no. 6.49 states that TATA depicted low results both on productivity
parameter and on efficiency criteria. All the public sector insurers and Bajaj also have
been showing good results on the efficiency parameter but have been still having the
scope of improvement on the productivity level. On the other hand Royal, Reliance,
283
IFFCO and ICICI have been good at the productivity level but could perform better by
improving their efficiency. No insurer has shown good results at both the efficiency as
well as productivity level.
FINANCIAL SOUNDNESS OF INDIAN GENERAL INSURANCE SECTOR
CARAMEL MODEL
A resilient and well regulated insurance industry can significantly contribute to
economic growth and efficient resource allocation through transfer of risk and
mobilization of savings. Failures of non-life insurance companies can create a situation in
which certain services are interrupted due to a lack of insurance protection (Das et al.,
2003). Financial Soundness of the insurance company depicts the strengths and
weaknesses of the insurers by properly establishing the relationship between the items of
the financial statements.
The methodology applied here to determine the financial soundness is the
CARAMELS framework developed by the International Monetary Fund to understand
financial strengths and weaknesses of various sectors. In fact, the CARAMELS model
acts as a framework which considers different parameters for determining the soundness
of organizations spread across different industries. An attempt has been made to analyze
the financial soundness of the Indian General Insurance Companies in terms of Capital
Adequacy, Assets Quality, Reinsurance and Actuarial Issues, Management Soundness,
Earnings and Profitability and Liquidity.
1. Capital Adequacy
Capital represented by its shareholder’s funds acts as a buffer against adverse
developments. It is important for an insurance company to maintain policyholder’s
confidence and preventing the insurer from going bankrupt. It reflects the overall
financial condition of insurer and also the ability of management to meet the need of
additional capital. Some ratios have not been calculated due to the unavailability of the
financial data relating to the ratios. For Non-Life Insurers, two ratios have been
calculated: net premium/ capital and capital/ total assets. The former reflects risks arising
from underwriting operations and the latter reflects asset risk. The following ratios
measure capital adequacy:
284
a. Net Premium/ Capital
Table 6.50
Net premium/ capital (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 198.74 224.95 232.85 241.70 199.19 204.52 259.21 239.93 278.17 350.62 242.98 236.39 45.80New 103.30 92.17 90.23 90.32 78.93 70.47 75.11 80.78 101.13 113.45 89.58 90.27 13.59Oriental 227.65 181.16 156.35 151.95 142.15 142.06 163.91 205.37 232.43 233.23 183.62 172.53 37.77United 144.70 120.01 107.04 94.41 91.58 88.89 97.14 100.90 120.45 149.08 111.42 103.97 21.61Mean 168.59 154.57 146.61 144.59 127.96 126.48 148.84 156.74 183.04 211.59 156.90 143.42 68.84Median 171.72 150.58 131.69 123.18 116.86 115.47 130.52 153.13 176.44 191.15 143.42S.Dev 55.46 59.85 63.97 70.58 54.77 60.23 82.69 77.83 85.86 105.41 68.84Royal 84.11 120.32 155.09 212.06 273.48 300.90 299.93 297.33 322.28 344.22 240.97 285.40 91.86Reliance 15.59 26.05 44.76 36.35 194.41 220.33 175.59 141.87 100.49 123.29 107.87 111.89 74.89IFFCO 65.44 120.56 187.32 170.88 195.64 242.76 193.54 208.89 283.54 266.11 193.46 194.59 65.24TATA 102.57 152.74 207.81 172.70 170.55 203.10 173.19 167.67 215.47 283.07 184.88 172.94 47.17ICICI 40.62 57.45 128.66 196.79 183.01 165.41 132.06 138.30 198.13 221.28 146.17 151.85 59.82Bajaj 165.12 218.06 268.34 261.61 257.74 303.56 298.38 248.54 276.18 280.73 257.82 264.97 40.80mean 78.90 115.86 165.33 175.06 212.47 239.34 212.11 200.43 232.68 253.11 188.52 193.97 81.39median 74.77 120.44 171.20 184.74 195.02 231.54 184.56 188.28 245.82 273.42 193.97S.Dev 52.29 68.30 76 75.62 42.44 54.89 70.36 63.46 79.33 74.82 81.39Source: Compiled from annual reports of the companies
285
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Net Premium to Capital -2.181 .029
The net premium to capital ratio indicates the degree to which an insurer can grow
premium by before fresh capital is needed. The ratio of net premium to capital, witnessed
increasing trends for all public sector insurers. The National, New India, Oriental and
United insurance companies have witnessed increasing trend in ratio ranging between
198.74 & 350.62, 70.47 & 113.45, 142.06 & 233.23 and 88.89 & 149.08 respectively.
The sector wise analysis states that the net premium to capital ratio of the public sector
general insurers is lower than that of the private sector general insurers. Among the
public sector companies, National Insurance Company showed the maximum average net
premium to capital ratio of 242.98 followed by Oriental, United and New India with
respective percentages of 183.62, 111.42 and 89.58 respectively. Similarly Private Sector
Insurers have been marking an increase in the same ratio. However among the private
insurers, Bajaj showed the maximum average net premium to capital ratio of 257.82 per
cent followed by Royal and IFFCO with the respective percentages of 240.97 per cent
and 193.46 per cent. Reliance General Insurer showed the least average net premium to
capital ratio of 107.87 per cent. The average net premium to capital ratio of all the public
sector insurers is 156.90 and that of private sector is 188.52 per cent which states that
there is a huge difference between the ratio of public and private sector. The standard
deviation values of the public sector and private sector general insurers are 68.84 and
81.39 resp. which exhibit that public sector insurers are more consistent than the private
sector insurers. Year wise analysis indicates that the average net premium to capital ratio
of the public sector is the highest i.e. 211.59 per cent in the year 2011-12 followed by
183.04 per cent in the year 2010-11. The private insurer’s average net premium to capital
ratio is the highest in the year 2011-12 followed by 2007-08.
Mann- Whitney test further shows that there is a significant difference between
the net premium to capital ratio of the public and private sector general insurance
companies.
286
b. Capital/ Total Assets
Table 6.51
Capital/total assets (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 16.39 12.49 11.84 8.03 10.53 9.89 11.23 9.20 8.56 9.96 10.81 10.24 2.40New 26.26 22.79 21.94 17.85 21.97 21.82 27.18 20.17 17.94 18.33 21.62 21.88 3.24Oriental 12.91 12.77 14.37 12.14 14.54 12.49 14.66 10.65 10.23 11.24 12.60 12.63 1.59United 18.83 16.84 19.07 17.38 20.79 21.20 27.86 24.12 22.74 21.89 21.07 20.99 3.32Mean 18.59 16.22 16.80 13.85 16.95 16.35 20.23 16.03 14.86 15.35 16.52 16.61 5.58Median 17.61 14.80 16.72 14.76 17.66 16.84 20.92 15.41 14.08 14.78 16.61 S.dev 5.65 4.80 4.54 4.66 5.38 6.05 8.53 7.26 6.65 5.70 5.58Royal 63.40 50.47 39.81 31.15 24.59 22.66 22.18 20.38 18.88 17.54 31.10 23.62 15.40Reliance 48.40 57.48 61.13 62.27 59.97 35.22 34.87 37.36 38.72 45.20 51.79 48.49 11.37IFFCO 49.75 40.49 31.32 36.74 33.11 25.83 28.68 25.57 20.30 18.75 31.05 30 9.45Tata 29.84 53.72 39.91 32.91 33.64 29.95 31.18 27.01 24.07 20.41 32.26 30.56 9.24ICICI 39.18 41.30 32.43 22.75 26.83 28.35 29.22 24.85 18.60 17.64 28.11 27.59 7.87Bajaj 37.13 28.59 24.21 25.11 23.78 23 21.23 21.25 18.81 17.85 24.09 23.39 5.53mean 50.11 43.64 36.64 34.77 29.52 27.44 28.30 26.29 24.31 23.99 32.50 29.53 12.47median 51.73 40.89 31.87 32.03 29.97 27.09 28.95 25.21 19.59 18.30 29.53 S.Dev 10.31 6.60 11.03 13.51 13.36 5.03 4.63 5.98 10.43 13.65 12.47 Source: Compiled from annual reports of the companies
287
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Capital to Total Assets -6.899 .000
This particular ratio calculates the proportion of shareholder’s funds held in
total assets. The ratio of capital to total assets, witnessed decreasing trends for all
public sector insurers except United India. The National, New and Oriental insurance
companies have witnessed decreasing trends in ratio ranging between 16.39 & 8.03,
27.18 & 17.85 and 14.66& 10.23 respectively, while as for United India insurer, the
ratio has witnessed increasing trend ranging between 16.84 & 27.86. The sector wise
analysis states that the capital to total assets ratio of the public sector general insurers
is lower than that of the private sector general insurers. Among the public sector
companies, New India Insurance Company showed the maximum average capital to
total assets ratio of 21.62 followed by United, Oriental and National with respective
percentages of 21.07, 12.60 and 10.81 respectively. The private sector insurers have
been marking a decreasing trend. However among the private insurers, Reliance
showed the maximum average capital to total assets ratio of 48.40 per cent followed
by TATA and Royal with the respective percentages of 32.26 per cent and 31.10 per
cent. Bajaj Allianz General Insurer showed the least average capital to total assets
ratio of 24.09 per cent. The average net capital to total assets ratio of all the public
sector insurers is 16.52 and that of private sector is 32.50 per cent which states that
there is a huge difference between the ratio of public and private sector. The standard
deviation values of the public sector and private sector general insurers are 5.58 and
12.47 resp. which exhibit that public sector insurers are more consistent than the
private sector insurers. Year wise analysis indicates that the average capital to total
assets ratio of the public sector is the highest i.e.20.23 per cent in the year 2008-09
followed by 18.59 per cent in the year 2002-03. The private insurer’s average capital
to total assets ratio is the highest in the year 2002-03 followed by 2003-04.
288
Mann- Whitney test further shows that there is a significant difference between
the capital to total assets ratio of the public and private sector general insurance
companies.
2. Asset Quality:
The quality of assets is an important parameter to measure the strength of an
insurer. The prime aim behind measuring the assets quality is to ascertain the
component of equities as a percentage of the total assets. It reveals the degree of
insurer’s exposure to stock market risk. Only one ratio i.e. Equities/ Total Assets has
been used to calculate the assets quality, the other ratios have not been calculated due
to the unavailability of the financial data relating to the ratios. The ratio necessary to
assess the assets quality is:
289
Table 6.52
Equities/ Total Assets (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 1.52 .804 1.12 0.97 .72 .73 .63 .79 .55 .51 .50 .725 .320New .74 .77 .57 .76 .74 .73 .62 .54 .50 .47 .644 .675 .116Oriental 1.54 1.13 1.01 .73 .71 .61 .74 .55 .51 .50 .803 .720 .331United 1.30 .99 .93 .73 1.12 .98 1.15 .87 .80 .72 .959 .955 .189Mean 1.28 .952 .917 .730 .822 .71 .855 .627 .580 .547 .802 .735 .270Median 1.41 .730 1.05 .950 .730 .625 .765 .550 .510 .50 .735S.dev .358 .262 .109 .008 .198 .180 .198 .161 .146 .115 .270Royal 63.40 50.47 39.81 31.15 24.17 21.74 20.90 16.86 15.80 14.02 29.83 22.95 16.48Reliance 47.44 47.03 45.89 40.03 13.99 6.15 5.30 4.43 4.59 3.94 21.87 10.07 20.28IFFCO 46.49 36.60 24.99 28.87 24.55 18.69 15.48 13.31 11.35 9.44 22.97 21.62 11.86Tata 53.70 39.91 29.84 32.91 31.05 25.92 27.58 23.43 21.62 19.85 30.58 28.71 10.02ICICI 39.18 40.22 28.61 14.94 11.36 9.94 7.35 5.99 4.91 4.14 16.66 10.65 14.04Bajaj 37.12 23.86 14.88 10.34 6.49 4.39 3.48 2.95 2.47 2.04 10.80 5.44 11.55mean 47.88 39.68 30.67 26.37 18.60 14.47 13.34 11.16 10.12 8.90 22.12 20.37 15.51median 46.96 40.06 29.22 30.01 19.08 14.31 11.41 9.65 8.13 6.79 20.37 S.Dev 9.67 9.27 10.97 11.36 9.39 8.86 9.61 8.08 7.51 6.93 15.51 Source: Compiled from annual reports of the companies
290
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Equities to Total Assets -8.444 .000
All the public sector insurance companies have witnessed decreasing trend in
ratio ranging between 1.52 & .50, .77 & .47, 1.54 & .50 and 1.30 & .72 respectively.
The sector wise analysis states that the equities to total assets ratio of the public sector
general insurers is lower than that of the private sector general insurers. Among the
public sector companies, United India Insurance Company showed the maximum
average equities to total assets ratio of .959 followed by National, Oriental and New
India with respective percentages of .804, .803 and .644 respectively. Similarly
Private Sector Insurers have been depicting decreasing trends. However among the
private insurers, TATA showed the maximum average capital to total assets ratio of
30.58 per cent followed by Royal and IFFCO with the respective percentages of 29.83
per cent and 22.97 per cent. Bajaj Allianz General Insurer showed the least average
equities to total assets ratio of 10.80 per cent. The average equities to total assets ratio
of all the public sector insurers is .802 and that of private sector is 22.12 per cent
which states that there is a huge difference between the ratio of public and private
sector. The standard deviation values of the public sector and private sector general
insurers are .270 and 15.51 resp. which exhibit that public sector insurers are more
consistent than the private sector insurers. Year wise analysis indicates that the
average equities to total assets ratio of the public sector is the highest i.e.1.28 per cent
in the year 2002-03 followed by .952 per cent in the year 2003-04. The private
insurer’s average equities to total assets ratio is the highest in the year 2002-03
followed by 2003-04.
Mann- Whitney test further shows that there is a significant difference
between the equities to total assets ratio of the public and private sector general
insurance companies.
291
3. Reinsurance and Actuarial Issues:
The risk retention ratio (Net Premium/ Gross Premium) is included for both
life and non life business. It reflects the overall underwriting strategy of the insurer in
that it shows what portion of risk is passed on to the reinsurers. Overall insurers
capital and reinsurance cover need to be capable of covering a plausible severe risk
scenario. If the insurer relies on reinsurance to a substantial degree, it is critical that
the financial health of its reinsurers is examined. Some ratios have not been
calculated due to the non availability of the financial data relating to the ratios.
292
Table 6.53
Net premium/ Gross premium (Percentage)
Company 2007-08 2002-03 2003-04 2004-05 2005-06 2006-07 2008-09 2009-10 2010-11 2011-12 mean median S.D.National 6.02 74.25 73.78 74.32 75.87 74.61 79.26 85.05 85.61 86.30 88.96 79.80 77.56New 73.06 73.86 76.33 76.52 80.04 79.88 85.19 84.55 87.43 87.06 80.39 79.96 5.40Oriental 66.21 70.11 71.77 69.27 71.62 73.81 79.33 81.62 82.79 84.53 75.10 72.79 6.42United 70.46 70.23 73.79 70.54 72.29 77.02 82.06 79.97 80.24 82.88 75.94 75.40 5.06Mean 71.00 82.93 72.00 74.05 73.04 74.64 77.49 82.90 84.19 85.85 77.81 76.77 6.00Median 71.75 72.00 74.05 73.21 73.44 78.13 83.55 83.08 84.54 85.79 76.77 S.Dev 3.55 2.10 1.86 3.66 3.80 2.73 2.78 2.60 3.29 2.68 6.00Royal 84.40 59.18 60.63 60.97 54.38 55.76 64.20 74.44 78.28 76.59 66.88 62.58 10.58Reliance 10.38 21.44 38.32 33.24 26.77 49.32 72.52 70.68 78.15 69.13 46.99 43.82 24.37IFFCO 32.82 41.37 47.25 38.75 47.84 56.70 60.61 63.25 63.65 72.05 52.42 52.27 12.71TATA 54.13 54.90 57.94 49.86 53.71 57.98 71.30 69.07 61.94 79.79 61.06 57.96 9.45ICICI 21.03 26.67 36.72 33.33 35.68 47.38 58.01 66.54 67.17 79.77 47.23 42.05 19.69Bajaj 60.93 60.10 56.27 46.08 46.94 59.47 71.04 75.90 74.90 82.01 63.36 60.51 12.23Mean 39.74 44.18 49.57 42.60 44.45 55.84 67.98 70.62 70.40 77.85 56.32 58.59 17.04Median 43.47 48.13 51.76 42.41 47.39 57.34 71.17 69.87 71.03 79.78 58.59 S.Dev 21.41 17.14 10.41 8.85 11.14 6.36 6.87 5.65 7.01 5.95 17.04 Source: Compiled from annual reports of the companies
293
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Net Retention Ratio -6.635 .000
This ratio indicates the risk bearing capacity of the insurers. It indicates the
extent the insurers are retaining the premium. The ratio of net premium to gross
premium, witnessed increasing trend for all public sector insurers. All the public
sector insurance companies have shown increasing trend in ratio ranging between
73.78 & 88.96, 73.06 & 87.43, 66.21 & 84.53 and 70.23 & 82.88 respectively. The
sector wise analysis states that the net premium to gross premium ratio of the public
sector general insurers is higher than that of the private sector general insurers.
Among the public sector companies, New India Assurance Company showed the
maximum average net premium to gross premium of 80.39 followed by National,
United India and Oriental with respective percentages of 79.80, 75.94 and 75.10
respectively. Similarly the private sector insurers have been showing the increasing
trends. However among the private insurers, Royal showed the maximum average net
premium to gross premium ratio of 66.88 per cent followed by Bajaj and TATA with
the respective percentages of 63.36 per cent and 61.06 per cent. Reliance General
Insurer showed the least average net premium to gross premium ratio of 46.99 per
cent. The average net premium to gross premium ratio of all the public sector insurers
is 77.81 per cent and that of private sector is 56.32 per cent which states that there is a
huge difference between the ratio of public and private sector. The standard deviation
values of the public sector and private sector general insurers are 6.00 and 17.04 resp.
which exhibit that public sector insurers are more consistent than the private sector
insurers. Year wise analysis indicates that the average net premium to gross premium
ratio of the public sector is the highest i.e. 85.85 per cent in the year 2011-12
followed by 84.19 per cent in the year 2010-11. The private insurer’s average net
premium to gross premium ratio is the highest in the year 2011-12 followed by 2009-
10. The close examination of this ratio state that private sector is relying more on the
294
reinsurance whereas public sector is retaining the premium with them and depending
less on reinsures due to large capital base. Moreover the premium earned by these
public sector insurers is invested in the profitable investments whose investment
returns help this sector to offset the underwriting losses faced by them.
Mann- Whitney test further shows that there is a significant difference between
the net premium to gross premium ratio of the public and private sector general
insurance companies.
4. Management Soundness
Sound management is crucial for financial stability of insurers. The ratio in
this segment involves subjective analysis to measure the efficiency and effectiveness
of management. The ratios used to evaluate management efficiency are described
as:
295
Table 6.54
Operational expenses/ Gross premium (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 20.98 21.53 22.61 25.04 21.11 22.40 22.11 26.35 23.26 20.26 22.56 22.25 1.89New 22.71 33.07 28.21 27.27 22.97 19.31 26.41 28.73 27.38 24.16 26.02 26.84 3.86Oriental 23.27 27.61 24.18 24.12 19.19 21.62 23.06 24.29 28.81 22.39 23.85 23.69 2.76United 20.96 25.97 29.30 30.95 25.56 24.40 24.11 22.08 27.05 19.14 24.95 24.98 3.64Mean 21.98 27.04 26.07 26.84 22.20 21.93 23.92 25.36 26.62 21.48 24.34 24.11 3.28Median 21.84 26.79 26.19 26.15 22.04 22.01 23.58 25.32 27.21 21.32 24.11 S.dev 1.18 4.76 3.19 3.03 2.71 2.10 1.84 2.84 2.36 2.23 3.28Royal 30.01 25.51 22.01 22.85 22.80 25.10 27.32 25.62 26.63 23.86 25.17 25.30 2.43Reliance 14.37 20.69 21.21 16.78 19.83 28.91 28.25 24.27 26.99 22.38 22.36 21.79 4.80IFFCO 22.81 19.95 19.56 17.12 17.88 17.84 17.43 17.09 17.86 17.84 18.53 17.85 1.77Tata 24.13 22.15 23.77 26.38 27.23 29.53 32.63 29.29 25.08 23.1 26.32 25.73 3.33ICICI 19.73 18.36 17.27 18.84 16.68 16.96 19.94 16.84 15.98 16.94 17.75 17.11 1.37Bajaj 22.48 21.12 17.50 16.39 19.38 21.81 22.86 22.09 22.51 20.45 20.65 21.46 2.23Mean 22.25 21.29 20.22 19.72 20.63 23.35 24.73 22.53 22.50 20.76 21.80 21.91 4.23median 22.64 20.90 20.38 17.98 19.60 23.45 25.09 23.18 23.79 21.41 21.91 S.Dev 5.14 2.42 2.58 4.03 3.83 5.39 5.67 4.90 4.64 2.86 4.23 Source: Compiled from annual reports of the companies
296
Test of Significance
Test Ratio Z Value
Asymp. Sig (2-tailed)
Mann-Whitney Test
Operational Expenses to Gross Premium
-3.124 .002
The ratio of operational expense to gross premium, witnessed decreasing
trends for all public sector insurers except New India Assurance Company. These
companies have been depicting ratios ranging between 20.26 & 26.35, 19.31 & 33.07,
19.19 & 28.81 and 19.14 & 30.95 respectively. The sector wise analysis states that the
operational expense to gross premium ratio of the public sector general insurers is
higher than that of the private sector general insurers. Among the public sector
companies, New India Assurance Company showed the maximum average operational
expense to gross premium of 26.02 followed by United, Oriental and National with
respective percentages of 24.95, 23.85 and 22.56 respectively. The private sector
insurers have been showing decreasing trends except Reliance General Insurer
Company. However among the private insurers, TATA showed the maximum average
operational expense to gross premium ratio of 26.32 per cent followed by Royal and
Reliance with the respective percentages of 25.17 per cent and 22.36 per cent. ICICI
General Insurer showed the least average operational expense to gross premium ratio
of 17.75 per cent. The average operational expense to gross premium ratio of all the
public sector insurers is 24.34 per cent and that of private sector is 21.80 per cent
which states that there is a huge difference between the ratio of public and private
sector. The standard deviation values of the public sector and private sector general
insurers are 3.28 and 4.23 resp. which exhibit that public sector insurers are more
consistent than the private sector insurers. Year wise analysis indicates that the
average operational expense to gross premium ratio of the public sector is the highest
i.e. 27.04 per cent in the year 2003-04 followed by 26.84 per cent in the year 2005-06.
The private insurer’s average operational expense to gross premium ratio is the
highest in the year 2008-09 followed by 2007-08.
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Mann- Whitney test further shows that there is a significant difference between
the operational expense to gross premium ratio of the public and private sector
general insurance companies.
5. Earnings and Profitability Ratios
The quality of earnings and profitability is a very important criterion that
determines the ability of an insurer to earn consistently. Low profitability may signal
fundamental problems of the insurers and may be considered a leading indicator for
solvency problems. The ratios used in this section basically determine the profitability
of insurer and explains its sustainability and growth in earnings in future. The
following ratios explain the quality of income generation.
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a. Loss Ratio
Table 6.55
Loss Ratio=Net claims/ Net premium (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.D.National 76.01 84.10 79.92 102.43 86.51 94.05 99.16 85.05 97.05 87.50 89.17 87.00 8.64
New 76.77 74.65 74.58 88.13 80.34 86.82 89 89.87 100.80 90.01 85.09 87.47 8.38Oriental 90.47 77.25 78.09 86.04 87.64 87.66 99.69 90.79 94.22 91.02 88.28 89.06 6.79United 91.06 85.63 91.99 93.09 90.26 92.75 78.62 86.74 94.36 88.50 89.30 90.66 4.68Mean 80.27 80.61 83.13 92.82 86.19 91.02 91.61 88.11 96.60 89.25 87.96 88.31 7.22
Median 77.01 81.09 82.98 90.61 87.08 91.61 94.08 88.30 95.70 89.25 88.31S.Dev 7.20 5.13 7.53 6.86 4.20 3.16 9.96 2.67 3.08 1.56 7.22Royal 53.68 57.33 56.39 64.81 61.08 66.88 68.95 71.21 75.35 78.33 65.40 65.84 8.28
Reliance 77.30 99.48 68.71 61.91 63.80 70.90 78.19 84.74 102.90 108.84 81.67 77.74 16.80IFFCO 40.70 54.63 50.79 70.54 72.79 78.91 83.44 79.45 87.26 92.57 71.10 75.85 17.04TATA 47.41 44.84 48.59 56.08 54.27 54.58 60.54 67.21 74.74 79.67 58.79 55.33 11.72ICICI 39.89 53.96 48.23 73.77 76.30 78.38 85.35 88.85 95.61 101.46 74.18 77.34 20.61Bajaj 52.59 59.04 47.22 69.92 66.26 66.81 71.90 73.59 79.14 77.10 66.35 68.36 10.45Mean 56.70 55.34 52.18 66.48 66.93 70.62 74.58 77.50 85.83 89.66 69.58 70.23 15.92
Median 50.54 68.58 54.29 49.69 67.36 72.53 74.60 76.52 83.20 86.12 70.23S.Dev 22.22 7.78 5.78 6.31 8.15 9.71 9.35 8.31 11.54 13.42 15.92
Source: Compiled from annual reports of the companies
299
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Loss Ratio -5.981 .000
For non-life insurers, the loss ratio is an important indicator of whether their
policy is correct. The Loss Ratio, witnessed increasing trends for all public sector
insurers except United India General Insurer. These companies have been depicting these
trends in ratio ranging between 76.01 & 102.43, 74.58 & 100.80, 77.25 & 99.69 and
78.62 & 94.36 respectively. The sector wise analysis states that the Loss Ratio of the
public sector general insurers is higher than that of the private sector general insurers.
Among the public sector companies, United India Insurance Company showed the
maximum average Loss Ratio of 89.30 per cent followed by National, Oriental and New
India with respective percentages of 89.17, 88.28 and 85.09 respectively. Similarly the
private sector insurers have been depicting increasing trends. However among the private
insurers, Reliance showed the maximum average Loss Ratio of 81.67 per cent followed
by ICICI and IFFCO with the respective percentages of 74.18 per cent and 71.10 per
cent. TATA AIG General Insurer showed the least average Loss Ratio of 58.79 per cent.
The average Loss Ratio of all the public sector insurers is 87.96 per cent and that of
private sector is 69.58 per cent which states that there is a huge difference between the
ratio of public and private sector. The standard deviation values of the public sector and
private sector general insurers are 7.22 and 15.92 resp. which exhibit that public sector
insurers are more consistent than the private sector insurers. Year wise analysis indicates
that the Loss Ratio of the public sector is the highest i.e. 96.60 per cent in the year 2010-
11 followed by 92.82 per cent in the year 2005-06. The private insurer’s average Loss
Ratio is the highest in the year 2011-12 followed by 2010-11.
Mann- Whitney test further shows that there is a significant difference between
the Loss Ratio of the public and private sector general insurance companies.
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b. Expense Ratio
Table 6.56
Expense Ratio=Expenses/ Net Premium (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.D. National 28.20 29.11 30.34 32.89 28.20 28.15 25.90 30.64 31.38 22.70 28.75 28.65 2.90New 25.32 36.81 30.50 30.09 24.25 20.73 26.45 28.92 27.01 23.53 27.36 26.73 4.50Oriental 34.37 38.46 32.90 34.02 26.19 28.61 28.26 29.04 34.09 25.86 31.18 30.97 4.15United 29.74 37.05 39.71 43.87 35.36 31.67 29.38 27.61 33.71 23.09 33.11 32.69 6.13Mean 29.40 35.35 33.36 35.21 28.50 27.29 27.49 29.05 31.54 23.79 30.10 29.24 4.93Median 28.97 36.93 31.70 33.45 27.19 28.38 27.35 28.98 32.54 23.31 29.24 S.Dev 3.78 4.22 4.39 6 4.84 4.64 1.60 1.24 3.25 1.41 4.93Royal 50.70 42.07 36.11 35.30 35.01 32.70 32.85 31 31.65 28.27 35.56 33.93 6.47Reliance 138.45 96.49 55.37 49.04 35.87 42.08 38.65 33.64 38.69 32.38 56.06 40.38 34.55IFFCO 27.28 69.51 48.22 41.39 31.96 35.26 27.05 25.15 25.44 24.77 35.60 29.62 14.25TATA 5.69 44.56 40.33 41.01 44.87 46.54 43.78 45.76 43.13 33.60 28.98 41.25 43.45ICICI 94.22 68.87 47.04 40.64 34.37 31.52 32.06 23.98 22.41 21.24 41.63 33.21 23.28Bajaj 36.88 35.14 31.09 29.86 33.30 29.62 29.84 27.81 27.96 24.93 30.64 29.85 3.59Mean 72.38 55.18 42 38.61 36.72 34.49 34.36 30.78 29.95 26.76 40.12 35.07 19.36Median 60.10 45.14 41.20 37.97 35.13 32.11 32.45 29.40 29.80 26.60 35.07 S.Dev 38.35 23.39 8.47 7.53 4.88 6.80 6.77 7.03 5.89 3.91 19.36
Source: Compiled from annual reports of the companies
301
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Expense Ratio -3.740 .000
For the Non-Life Insurers, the expense ratio adds the aspect of operating costs
into the analysis. The Expense Ratio witnessed decreasing trends for all public sector
insurers. These Insurers have been depicting these trends in ratio ranging between 22.70
& 32.89, 20.73 & 36.81, 25.86 & 38.46 and 23.09 & 43.87 respectively. The sector wise
analysis states that the Expense Ratio of the public sector general insurers is lower than
that of the private sector general insurers. Among the public sector companies, United
India Insurance Company showed the maximum average Expense Ratio of 33.11 per cent
followed by Oriental, National and New India with respective percentages of 31.18,
28.75 and 27.36 respectively. Similarly Private Sector Insurers have also been depicting
the decreasing trends. However among the private insurers, Reliance showed the
maximum average Expense Ratio of 56.06 per cent followed by ICICI and TATA with
the respective percentages of 41.63 per cent and 41.25 per cent. Bajaj General Insurer
showed the least average Expense Ratio of 30.64 per cent. The average Expense Ratio of
all the public sector insurers is 30.10 per cent and that of private sector is 40.12 per cent
which states that there is a huge difference between the ratio of public and private sector.
The standard deviation values of the public sector and private sector general insurers are
4.93 and 19.36 resp. which exhibit that public sector insurers are more consistent than the
private sector insurers. Year wise analysis indicates that the Expense Ratio of the public
sector is the highest i.e. 35.35 per cent in the year 2003-04 followed by 35.21 per cent in
the year 2005-06. The private insurer’s average Loss Ratio is the highest in the year
2002-03 followed by 2003-04. The close investigation of the results state that no doubt
the Indian General Insurers specially the private sector have been spending more on
advertisements, commission and other expenses in the initial years of the privatization in
order to compete with the public sector but with the passage of the time this sector is
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adopting various cost effective measures due to which the private sector has been
depicting downward swing in the ratio.
Mann- Whitney test further shows that there is a significant difference between
the Expense Ratio of the public and private sector general insurance companies.
c. Combined ratio:
Underwriting profits are generated when premium exceeds claims and
administrative expenses. An insurer’s underwriting performance is measured by the
combined ratio which is the sum of loss ratio and the expense ratio.
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Table 6.57
Combined ratio= Loss Ratio+ Expense ratio (Percentage)
Company 2004-05 2002-03 2003-04 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.D.National 104.21 113.12 110.26 135.32 114.71 122.2 125.06 115.69 128.43 110.20 117.92 115.20 9.58New 102.09 111.46 105.08 118.22 104.59 107.55 115.45 118.79 127.81 113.54 112.45 112.50 7.94Oriental 111.62 116.55 118.94 121.66 113.85 119.08 127.95 119.83 128.81 113.54 119.18 119.01 5.77United 128.07 120.80 122.68 131.70 136.96 125.62 124.42 108 114.35 111.59 122.41 123.55 9.04Mean 109.68 115.95 116.49 128.04 114.69 118.31 119.11 117.16 128.28 112.21 117.99 117.38 8.69Median 107.91 114.83 114.60 128.49 114.28 120.64 120.25 117.24 128.25 112.56 117.38S.Dev 8.46 4.96 11.63 9.48 8.60 7.50 9.13 2.57 .435 1.62 8.69Royal 101.80 104.38 99.40 92.50 100.11 96.09 99.58 102.21 107 106.60 100.96 100.95 4.50Reliance 237.93 165.20 117.28 112.84 106.77 120.27 115.95 118.38 141.59 141.22 137.74 119.32 39.40IFFCO 110.21 102.85 92.18 102.50 108.05 106.19 110.49 104.60 112.70 117.34 106.71 107.12 6.87TATA 91.97 85.17 89.60 100.95 100.81 98.36 106.30 110.34 108.34 108.65 100.04 100.88 8.74ICICI 134.11 120.83 95.27 114.41 110.67 109.90 117.41 112.83 118.02 122.70 115.61 115.91 10.04Bajaj 95.92 87.73 78.31 99.78 99.56 96.43 101.74 101.40 107.10 102.03 97.00 99.67 8.30Mean 129.08 110.19 94.19 105.09 103.65 105.12 108.94 108.29 115.79 116.42 109.68 106.45 21.94Median 107.29 101.12 92.34 101.72 103.79 102.88 108.39 107.47 110.52 112.99 106.45S.Dev 55.34 29.79 12.76 6.68 5.66 9.00 6.82 6.70 13.32 14.27 21.94 Source: Compiled from annual reports of the companies
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Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Combined Ratio -4.686 .000
The indicator of combined ratio measures the performance of the underwriting
operation but does not take into account the investment income. The combined ratio
witnessed increasing trends for all public sector insurers except United India Insurance
Company. These Insurers have been depicting these trends in ratio ranging between
104.21 & 135.32, 102.09 & 127.81, 111.62 & 128.81 and 108 & 136.96 respectively. The
sector wise analysis states that the combined ratio of the public sector general insurers is
higher than that of the private sector general insurers. Among the public sector
companies, United India Assurance Company showed the maximum average combined
ratio of 122.41 followed by Oriental, National and New India with respective percentages
of 119.01, 115.20 and 112.50 respectively. Similarly Private Sector Insurers have been
depicting increasing trends except Reliance and ICICI. However among the private
insurers, Reliance showed the maximum average combined ratio of 137.74 per cent
followed by ICICI and IFFCO with the respective percentages of 115.61 per cent and
106.71 per cent. Bajaj General Insurer showed the least average combined ratio of 97 per
cent. The average combined ratio of all the public sector insurers is 117.38 per cent and
that of private sector is 109.68 per cent which states that there is a huge difference
between the ratio of public and private sector. The standard deviation values of the public
sector and private sector general insurers are 8.69 and 21.94 resp. which exhibit that
public sector insurers are more consistent than the private sector insurers. Year wise
analysis indicates that the average combined ratio of the public sector is the highest
i.e.128.28 per cent in the year 2010-11 followed by 128.04 per cent in the year 2005-06.
The private insurer’s average combined ratio is the highest in the year 2002-03 followed
by 2011-12.
Mann- Whitney test further shows that there is a significant difference between
the combined ratio of the public and private sector general insurance companies.
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d. Investment Income to Net Premium
Table 6.58
Investment income/ net premium (Percentage)
Company 02-03 03-04 04-05 05-06 06-07 07-08 08-09 09-10 10-11 11-12 Mean Median S.D.National 22.80 26.41 24.19 37.63 36.94 37.04 28.45 33.90 39.49 24.64 31.14 31.17 6.47New India 25.05 34.85 38.31 47.96 47.45 47.74 30.48 35.66 32.69 26.61 36.68 35.25 8.58Oriental 25.67 46.39 48.79 44.69 40.28 39.69 30.77 29.51 38.95 30.73 37.54 39.32 7.94United 32.06 43.95 49.26 62.91 51.75 54.73 30.98 40.29 36.59 26.04 42.85 42.12 11.78Mean 26.39 37.90 40.13 48.29 44.10 44.80 30.17 34.84 36.93 27.00 37.05 36.76 9.53Median 25.36 39.40 43.55 46.32 43.86 43.71 30.62 34.78 37.77 26.32 36.76S.D. 3.97 9.12 11.77 10.65 6.72 8.03 1.16 4.45 3.09 2.61 9.53Royal 17.47 11.45 6.67 7.10 8.43 9.00 11.30 12.29 9.81 10.77 10.42 10.29 3.10Reliance 121.79 47.01 22.57 27.06 6.33 7.78 10.46 10.71 14.82 17.40 28.59 16.11 34.89IFFCO 18.24 11.26 8.01 7.49 9.83 9.96 11.90 12.10 11.07 13.62 11.34 11.16 3.05TATA 12.31 11.18 9.91 10.63 9.13 9.53 12.20 16.41 13.06 11.13 11.54 11.15 2.12ICICI 33.44 19.62 16.01 12.18 9.36 12.61 17.28 20.41 13.19 12.57 16.66 14.60 6.86Bajaj 11.46 10.68 8.11 6.27 8.55 10.64 10.70 11.83 12.12 13.14 10.35 10.69 2.09Mean 35.78 18.53 11.88 11.78 8.60 9.92 12.30 13.95 12.34 13.10 14.82 11.37 15.50Median 17.85 11.35 9.01 9.06 8.84 9.74 11.60 12.19 12.59 12.85 11.37S.D. 42.86 14.35 6.18 7.81 1.22 1.63 2.52 3.71 1.75 2.38 15.50Source: Compiled from annual reports of the companies
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Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Investment Income to Net Premium
-7.768 .000
This indicator i.e. investment income/ net premium focuses on the second major
revenue source-investment income. The Investment income to net premium ratio witnessed increasing trends for all public sector insurers except United India. These companies have been depicting these trends in ratio ranging between 22.80 & 39.49, 25.05 & 47.96, 25.67 & 48.79 and 26.04 & 62.91 respectively. The sector wise analysis states that the Investment income to net premium ratio of the public sector general insurers is higher than that of the private sector general insurers. Among the public sector companies, United India Insurance Company showed the maximum average Investment income to net premium ratio of 42.85 followed by Oriental, New and National with respective percentages of 37.54, 36.68 and 31.14 respectively. Similarly all the private sector insurers have been showing the increasing trends except Bajaj Allianz General Insurer. However among the private insurers, Reliance showed the maximum average Investment income to net premium ratio of 28.59 per cent followed by ICICI and TATA with the respective percentages of 16.66 per cent and 11.54 per cent. Bajaj General Insurer showed the least average Investment income to net premium ratio of 10.35 per cent. The average Investment income to net premium ratio of all the public sector insurers is 37.05 per cent and that of private sector is 14.82 per cent which states that there is a huge difference between the ratio of public and private sector. The standard deviation values of the public sector and private sector general insurers are 9.53 and 15.50 resp. which exhibit that public sector insurers are more consistent than the private sector insurers. Year wise analysis indicates that the average Investment income to net premium ratio of the public sector is the highest i.e. 48.29 per cent in the year 2005-06 followed by 44.80 per cent in the year 2007-08. The private insurer’s average Investment income to net premium ratio is the highest in the year 2002-03 followed by 2003-04.
Mann- Whitney test further shows that there is a significant difference between the Investment income to net premium ratio of the public and private sector general insurance companies.
307
e. Return on Equity
Table 6.59
Net Returns/ Equity (Percentage)
company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 12.57 6.39 10.77 -9.56 29.38 10.49 -10.58 14.20 4.51 16.39 8.45 10.63 11.86New 7.52 14.97 9.33 14.90 24.24 20.09 3.06 5.44 5.92 2.31 10.77 8.42 7.45Oriental 7.59 28.20 23.30 17.25 24.54 0.46 -2.67 -2.29 2.75 11.63 11.07 9.61 11.66United 11.82 21.22 15.16 18.04 19.16 19.45 13.17 17.04 3.07 8.50 14.68 16.10 5.63Mean 9.87 17.68 14.64 10.15 24.34 12.62 .745 8.59 4.06 9.70 11.24 11.72 9.43Median 9.71 18.08 12.96 16.07 24.4 14.96 .195 9.82 3.79 10.06 11.72 S.dev 2.69 9.27 6.28 13.20 4.17 9.21 9.99 8.78 1.45 5.90 9.43Royal -3.54 6.17 3.85 6.16 14.89 2.66 2.54 12.20 6.74 0.06 5.17 5.00 5.42Reliance 15.63 6.78 4.20 9.40 0.62 -27.26 -6.56 -5.00 -27.11 -21.55 -5.08 -2.19 15.45IFFCO 5.94 8.65 12.43 5.23 9.14 2.36 0.54 5.35 -7.40 -5.94 3.63 5.29 6.39Tata -10.46 12.39 9.79 6.97 8.85 6.21 1.25 1.93 -1.13 -6.17 2.96 4.07 7.31ICICI 3.11 14.07 19.38 13.49 8.61 9.55 1.47 8.60 -5.25 -22.42 5.06 8.60 11.92Bajaj 8.76 16.51 26.35 19.31 18.67 18.28 14.15 15.23 5.17 12.87 15.53 15.87 5.88mean 3.24 10.76 12.67 10.09 10.13 1.96 2.23 6.38 -4.83 -7.19 4.54 6.16 10.91median 4.52 10.52 11.11 8.18 8.99 4.43 1.36 6.97 -3.19 -6.05 6.16S.Dev 9.21 4.19 8.83 5.40 6.17 15.46 6.69 7.31 12.25 13.38 10.91 Source: (Compiled from annual reports of the companies (here equity=share capital+ reserves and surpluses))
308
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Return on Equity -2.948 .003
Return on Equity indicates the overall level of profitability. The Return on
Equity ratio witnessed mixed trends for all public sector insurers. The sector wise
analysis states that the Return on Equity ratio of the public sector general insurers is
higher than that of the private sector general insurers. Among the public sector
companies, United India Insurance Company showed the maximum average Return
on Equity ratio of 14.68 followed by Oriental, New and National with respective
percentages of 11.07, 10.77 and 8.45 respectively. Similarly Private Sector Insurers
have been showing decreasing trends except Royal and Bajaj. However among the
private insurers, Bajaj showed the maximum average Return on Equity ratio of 15.53
per cent followed by Royal and ICICI with the respective percentages of 5.17 per cent
and 5.06 per cent. Reliance General Insurer showed the least average Return on
Equity ratio of -5.08 per cent. The average Return on Equity ratio of all the public
sector insurers is 11.24 per cent and that of private sector is 4.54 per cent which states
that there is a huge difference between the ratio of public and private sector. The
standard deviation values of the public sector and private sector general insurers are
9.43 and 10.91 resp. which exhibit that public sector insurers are more consistent than
the private sector insurers. Year wise analysis indicates that the average Return on
Equity ratio of the public sector is the highest i.e. 24.34 per cent in the year 2006-07
followed by 17.68 per cent in the year 2003-04. The private insurer’s average Return
on Equity ratio is the highest in the year 2004-05 followed by 2003-04. The in depth
investigation of this ratio states that as the public sector insurers have been earning
effective returns on the investment portfolio, it has been able to offset the
underwriting losses faced over the years. That is why the ROE of public insurers has
improved over the time, whereas in case of private sector insurers due to less effective
investment portfolio this particular sector is not been able to efficiently offset the
309
underwriting losses due to which ROE ratio of this sector has not improved over the
years.
Mann- Whitney test further shows that there is a significant difference between
the Return on Equity ratio of the public and private sector general insurance
companies.
6. Liquidity
Risk of liquidity is nuisance to the goodwill of insurer. The frequency and
timing of insurance claims or benefits is uncertain, so insurers need to plan their
liquidity carefully. Insurer has to take a proper care to tackle with the liquidity risk; at
the same time ensuring that good percentage of funds are invested in high return
generating securities, so that it is in a position to generate profit. The following ratio
is used to measure the liquidity:
310
Table 6.60
Liquidity ratio=Current assets/ current liabilities (Percentage)
Company 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 mean median S.DevNational 40.14 39.91 43.55 38.94 39.41 42.91 39.26 39.26 29.28 21.14 37.38 39.33 6.87New 41.41 45.19 46.45 52.86 51.62 59.28 68.80 71.31 65.33 69.40 57.16 56.07 11.11Oriental 28.95 29.56 32.37 33.33 42.04 39.26 47.86 48.35 39.38 38.60 37.97 38.93 6.92United 25.53 22.33 27.39 32.92 30.74 31.88 35.51 38.78 30.07 31.85 30.70 31.29 4.76Mean 34 34.24 37.44 39.51 40.95 43.33 47.85 49.42 41.01 40.24 40.80 39.26 12.47Median 34.54 34.73 37.96 36.13 40.72 41.08 43.56 43.80 34.72 35.22 39.26 S.dev 7.95 10.25 9.04 9.31 8.59 11.57 14.88 15.23 16.84 20.72 12.47 Royal 42.37 25.11 24.44 21.28 24.92 32.23 25.37 31.42 14.10 12.24 25.34 25.01 8.75Reliance 34.57 38.25 55.50 32.71 15.43 29.48 42.88 45.38 15.90 11.82 32.19 33.64 14.30IFFCO 77.87 84.17 73.32 69.03 67.44 69.95 76.74 73.68 51.25 56.46 69.99 71.63 9.86Tata 31.22 30.09 29.79 31.30 34.49 34.62 25.86 44.91 41.71 21.82 17.67 30.69 8.32ICICI 33.99 62.92 52.20 55.60 56.54 46.24 56.54 56.33 49.77 45.08 51.52 53.90 8.16Bajaj 26.04 23.98 20.69 33.64 26.30 27.33 33.25 34.34 26.01 28.67 28.02 26.81 4.48Mean 41.87 28.65 42.22 42.19 42.59 37.54 38.51 46.61 47.14 29.80 39.71 34.16 18.45Median 34.28 34.02 41.75 34.06 30.46 30.85 43.89 43.54 23.91 23.17 34.16 S.Dev 21.42 20.93 19.46 20.54 20.18 17.05 18.18 15.69 16.59 18.52 18.45 Source: Compiled from annual reports of the companies
311
Test of Significance
Test Ratio Z Value Asymp. Sig (2-tailed)
Mann-Whitney Test Current Assets to Current Liabilities
-.964 .335
An Insurer’s liquidity is measured by the degree to which it can meet its financial
obligations. Adequate liquidity should be maintained to meet the insurer’s unexpected
cash needs without untimely sale of investments. The Current Assets to Current
Liabilities ratio witnessed increasing trends for all public sector insurers except National.
These Insurers have been depicting the ratio ranging between 21.14 & 43.55, 41.41 &
71.31, 28.95 & 48.35 and 22.33 & 38.78 respectively. The sector wise analysis states that
the average Current Assets to Current Liabilities ratio of the public sector general
insurers is almost equal to that of the private sector general insurers. Among the public
sector companies, New Insurance Company showed the maximum average Current
Assets to Current Liabilities ratio of 57.16 per cent followed by Oriental, National and
United India with respective percentages of 37.97, 37.38 and 30.70 respectively. The
Private Insurers have also been depicting the decreasing trends except ICICI and Bajaj.
However among the private insurers, IFFCO showed the maximum average Current
Assets to Current Liabilities ratio of 69.99 per cent followed by ICICI and Reliance with
the respective percentages of 51.52 per cent and 32.19 per cent. Royal General Insurer
showed the least average Current Assets to Current Liabilities ratio of 25.34 per cent. The
average Expense Ratio of all the public sector insurers is 40.80 per cent and that of
private sector is 39.71 per cent which states that the ratio of both public and private sector
is almost equal and it reports that there is no significant difference between both the
sectors in terms of liquidity. Year wise analysis indicates that the Current Assets to
Current Liabilities ratio of the public sector is the highest i.e.49.42 per cent in the year
2009-10 followed by 47.85 per cent in the year 2008-09. The private insurer’s average
Current Assets to Current Liabilities Ratio is the highest in the year 2009-10 followed by
2008-09.
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Mann- Whitney test also make the fact strong that there is insignificant
difference between the Current Assets to Current Liabilities ratio of the public and
private sector general insurance companies.
Group Ranking of the Indian General Insurers on different parameters of CARAMEL
The Group Ranking on the CARAMEL parameters is exhibited in Table 6.61,
Table 6.62, Table 6.63, Table 6.64, Table 6.65 and Table 6.66. Each parameter is ranked
based on the average of individual insurer’s sub-parameter ranks.
Table 6.61
Group Ranking on the Capital Adequacy Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Net Premium/
Capital
2 10 6 8 3 9 4 5 7 1
Capital/ Total Assets
10 7 9 8 3 1 4 2 5 6
Average 6 8.5 7.5 8 3 5 4 3.5 6 3.5
Rank 6.5 10 8 9 1 5 4 2.5 6.5 2.5
Table 6.62
Group Ranking on the Assets Quality Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Equities/ Total Assets
8 10 9 7 2 4 3 1 5 6
Average 8 10 9 7 2 4 3 1 5 6
Rank 8 10 9 7 2 4 3 1 5 6
313
Table 6.63
Group Ranking on the Reinsurance and Actuarial Issues Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Net Premium/
Gross Premium
2 1 4 3 5 10 8 7 9 6
Average 2 1 4 3 5 10 8 7 9 6
Rank 2 1 4 3 5 10 8 7 9 6
Table 6.64
Group Ranking on the Management Soundness Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Operational Expenses/
Gross Premium
5 9 6 7 8 4 2 10 1 3
Average 5 9 6 7 8 4 2 10 1 3
Rank 5 9 6 7 8 4 2 10 1 3
Table 6.65
Group Ranking on the Earnings and Profitability Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Loss Ratio 9 7 8 10 2 6 4 1 5 3
Expense Ratio
2 1 4 5 6 10 7 8 9 3
Combined Ratio
7 5 8 9 3 10 4 2 6 1
Investment Income/
Net Premium
4 3 2 1 9 5 8 7 6 10
Return on Equity
5 4 3 2 6 10 8 9 7 1
Average 5.4 4 5 5.4 5.2 8.2 6.2 5.4 6.6 3.6
Rank 6 2 3 6 4 10 8 6 9 1
314
Table 6.66
Group Ranking on the Liquidity Parameter
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Current Assets/ Current
Liabilities
5 2 4 8 10 6 1 7 3 9
Average 5 2 4 8 10 6 1 7 3 9
Rank 5 2 4 8 10 6 1 7 3 9
Table 6.61 shows the capital adequacy ratios and the rank position of the insurers.
As it is evident from the table, Royal has the highest capital adequacy ratio and it has
topped the list. Royal is followed by Bajaj and TATA which occupied the second
position, whereas IFFCO held the same third rank and Reliance occupied the fourth
position. The last position is occupied by New India Assurance Company. The group
ranking of the insurers under the asset quality parameter of is shown in Table 6.62.
TATA occupied the first position regarding the assets quality management, this position
of TATA is being followed by Royal, IFFCO who occupied the second and third position
respectively. The group ranking of the selected insurers under the reinsurance and
actuarial issues is shown in Table 6.63. New India topped the table in the parameter of
Reinsurance and Actuarial issues followed by National and United occupying the second
and third position. The last two positions are occupied by ICICI (rank 9) and Reliance
(rank 10). Table 6.64 states the management soundness parameter. ICICI occupies the
first position and last position is held by TATA. Table 6.65 shows the earning ability of
insurers and the rank position of the insurers. On the basis of the results shown in the
table the Bajaj demonstrated excellent ability regarding the profitability and earnings,
here New India occupies the second position whereas Oriental holds the third position.
Reliance occupied the last position in this particular parameter. The ability of the insurers
understudy to meet their short-time obligation is exhibited in Table 6.66 under group
ranking on liquidity parameter. IFFCO commands the first position to manage its
315
liquidity under this particular parameter. Royal Sundram is ranked last in the group on
the parameter of liquidity management.
All of the group wise analysis reflects that private sector has been occupying the
top most positions in all the parameters except the Reinsurance & Actuarial parameters
where public sector is leading the private sector.
COMPOSITE RANKING ON THE CARAMEL PARAMETER
The overall/ composite rank of each insurer is computed using the CARAMEL
model and variables.
Table 6.67
Overall Grand Ranking on the CARAMEL Parameters
National New Oriental United Royal Reliance IFFCO TATA ICICI Bajaj
Capital Adequacy Ranking
6.5 10 8 9 1 5 4 2.5 6.5 2.5
Assets Quality Ranking
8 10 9 7 2 4 3 1 5 6
Reinsurance and
Actuarial Issues
Ranking
2 1 4 3 5 10 8 7 9 6
Management Soundness Ranking
5 9 6 7 8 4 2 10 1 3
Earnings and
Profitability Ranking
6 2 3 6 4 10 8 6 9 1
Liquidity Ranking
5 2 4 8 10 6 1 7 3 9
Average 5.41 5.67 5.67 6.67 5 6.5 4.33 5.58 5.58 4.58
Rank 4 7.5 7.5 10 3 9 1 5.5 5.5 2
316
The overall capital adequacy, asset, reinsurance and actuarial issues, managerial,
earning, and liquidity performance of the insurers for the study period (2002-2012) is
exhibited in Table 6.67 based on the CARAMEL parameters. IFFCO ranked first in the
overall ranking whereas Bajaj and Royal occupy the second and third positions. Reliance
and United have been at the last positions on the overall parameter. The overall analysis
parameters make it evident that the Top most position which has earlier been occupied by
the public sector is now being taken over by the private sector.
Thus, it could be summarized that the group wise analysis reflects that private sector
has been occupying the top most positions in all the parameters except the Reinsurance &
Actuarial parameters where public sector is leading the private sector. Moreover, the
Investment Income to Net Premium ratio of public sector is better than the private sector.
The whole of the overall ranking makes it evident that the Top most position which has
been earlier occupied by the public sector is now being taken over by the private sector.
Inferences imply that private sector has been more sound on the CARAMEL model and
ranking parameter. The current study has been conducted to examine the economic
sustainability of a sample of insurers in India using CARAMEL model during the period
2002-12. The study revealed that
Royal Sundram stood at top position in terms of capital adequacy.
In front of asset quality, TATA AIG General Insurance Company was at top most
position.
In relation to reinsurance and actuarial issues New India Assurance Company has
attained the top most position.
In context of management efficiency, ICICI General Insurance Company
positioned at first.
In terms of earnings and profitability quality Bajaj sustained the top position.
IFFCO Tokio General Insurer rated top in case of liquidity position.
Overall performance table shows that, IFFCO General Insurance Company is
ranked first followed by Bajaj. In bottom positions, Reliance (Rank 9) and United (Rank
10) were on the last.
317
EFFICIENCY-PROFITABILITY RELATIONSHIP
To have a wider picture of insurers’ performance, the relationship between
efficiency and profitability has been explored. The relationship between the efficiency
and profitability of the organizational units can be studied with the help of the
‘efficiency– profitability matrix’. To achieve this DEA based TE scores have been
plotted against the Profitability Ratio (ROE). This resultantly formed an ‘Efficiency-
Profitability Matrix’ containing four distinct quadrants (see figure 6.1). These quadrants
are separated from each other on the basis of arithmetic average of TE score and ROE
figures. This particular matrix facilitates the categorization of units (as suggested by
Avkiran, 2006, Boussofiane and Dyson, 1991, Camanho and Dyson, 1999) that fall into
four distinct quadrants as shown in Figure 6.1: (i) ‘Ace’ or ‘Star’; (ii) ‘Lucky’ or
‘Sleeper’; (iii) ‘Underdog’ or ‘?’; and (iv) ‘Unlucky’ or ‘Dog’.
Four quadrants are used to identify performance of companies which are based on
vertical axis with profitability ratio (ROE) and the horizontal axis with DEA efficiency.
The following four quadrants are as follows:
Quadrant I (Underdog/ Question mark) = Below Average Efficiency and Below
Average Profitability
Quadrant II (Ace/Star) = Above Average Efficiency and Above Average Profitability
Quadrant III (Dog/ Unlucky) = Above Average Efficiency and Below Average
Profitability
Quadrant IV (Lucky/ Sleeper) = Below Average Efficiency and Above Average
Profitability
Performance matrix helps investors and managers to take a proper decision to
invest accordingly. This helps inefficient and low profitable companies to improve
their performance accordingly and sets benchmark for competitors (Memon and Tahir,
2012).
318
Y Q4 Q2
Lu
Q1 Q3
X
Figure 6.1: Efficiency-Profitability Matrix
(Source: Kumar, 2008)
The first quadrant contains the ‘underdog’ units that have the greatest potentials
for improvement in both efficiency and profitability. Such units are probably under-
resourced and lack appropriate skills. Therefore, in a favorable environment and with
additional resources, the ‘underdog’ units can be expected to enhance their efficiency and
profitability. On the other hand, the units that fall in second quadrant are ‘ace’ units. The
‘ace’ units have high levels of efficiency and profitability. These units are most suitable
for others to “benchmark” and can become role models for the inefficient units. Moving
down from right, one enters the third quadrant in which the ‘unlucky’ units are
positioned. An ‘unlucky’ unit operates at a high level of efficiency as compared to its
peers (i.e., it is rated as either ‘efficient’ or ‘marginally inefficient’ on the basis of DEA
scores) but this is not borne in accounting profitability measures. Unfavorable
environmental factors are often the cause of such observations, for example, operating in
an economically depressed catchment area. The best course of action in such
circumstances is probably to reallocate the unit to a more favorable environment.
Average Profitability
Average TE
Sleeper/Lucky Ace/ Star
Prof
itabi
lity
Question Mark/ Underdog
Dog/ Unlucky
Technical Efficiency
319
Finally, the fourth quadrant includes the ‘lucky’ units. These organizational units
are distinctly inefficient units in utilizing the resources but earn high profits. The ‘lucky’
units operate in a favorable environment, for example, no competitors in their catchment
area. Management of a ‘lucky’ unit clearly needs intervention from higher up in the
organization to stop misallocation of resources. In this case, it should be feasible for a
‘lucky’ unit to significantly raise its efficiency and further enhance its already high
profitability to the level that has been achieved by an ‘ace’ unit. A further subdivision
within the ‘ace’ quadrant presents those insurers that have attained a TE score equal to 1
and an above average value of ROE, labeled as ‘superstar’.
Efficiency–Profitability Relationship
In this analysis, the study primarily focus on evaluating the performance of Public
Sector and Private Sector General Insurers based on an efficiency-profitability matrix.
The mean value is used to split the matrix into two halves to create high and low groups
of profitability, as measured by ROE, and efficiency scores as measured by DEA. The
study further split the matrix into four quadrants: ace, lucky, underdogs, and unlucky.
The “ace” quadrant consists of DMUs which exhibit a high level of profitability
and efficiency and thus, considered as the flagship insurers. The insurers falling in
“lucky/sleeper” category have high profitability but low efficiency which is not a good
sign from long-term perspective. These sleeper insurers are profitable due to primarily
more favorable environmental conditions than good management. The resource
utilization process of these insurers requires overhauling so as to minimize waste of
resources. The insurers falling in this quadrant should be treated as prime candidates for
a drive towards improvement in efficiency. There is every possibility that with an
improvement in efficiency, ‘lucky’ insurers would be able to earn greater profits than
what they had earned earlier. The “question marks/ underdog” category has low
profitability and low efficiency. They have a potential for greater efficiency and possibly
greater profits. The “dogs/unlucky” have a low profitability but high efficiency hence,
they are efficient, but are still not profitable. They are efficiently operated units but low
on profitability due to an unfavorable environment.
320
The ‘underdog’ insurers lack vitality in terms of efficiency in insurance
operations. Thus, these insurers can be considered as ‘distressed’ or ‘weak’ insurers. The
south-east quadrant labeled as ‘unlucky’ has those insurers which operate with high
efficiency and low profitability, probably due to an unfavorable environment. The north-
east quadrant labeled ‘ace’ contains those insurers having both TE score and ROE above
average. The insurers in the ‘ace’ quadrant are the most efficient and profitable insurers
in the sample. The ‘ace’ insurers are most suitable for others to benchmark and can
become role models for the inefficient insurers. The following is the efficiency-
profitability matrix of the insurers for the various years under consideration:
Efficiency-profitability matrix
-15
-10
-5
0
5
10
15
20
0 0.2 0.4 0.6 0.8 1 1.2
Efficiency
Prof
itabi
lity
Series1
Figure 6.2 Year 2002-03
Figure 6.3 Year 2003-04
321
Figure 6.4 Year 2004-05
Figure 6.5 Year 2005-06
322
323
Figure 6.6 Year 2006-07
Figure 6.7 Year 2007-08
Figure 6.8 Year 2008-09
r 2 Figu e 6.9 Year 009-10
Fi
gure 6.10 Year 2010-11
Figure 6.11 Year 2011-12
(Source: Fig. 6.2 to 6.11 authors own calculations on the basis of Efficiency-Profitability Matrix as mentioned in Fig. 6.1)
On the basis of the above figures the progress chart of the public and private sector has been drawn:
Table 6.68
Progress Chart of Public Sector General Insurers
2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12
National Superstar Unlucky Unlucky Unlucky Superstar Superstar Unlucky Lucky Ace Ace
New Superstar Superstar Unlucky Superstar Superstar Superstar Superstar Unlucky Superstar Superstar
324
Oriental Superstar Ace Superstar Ace Superstar Unlucky Unlucky Unlucky Lucky Ace
United Ace Ace Ace Ace Lucky Lucky Ace Superstar Lucky Ace
(Note: Author’s Own Calculations)
Table 6.69
Progress Chart of Private Sector General Insurers
2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12
Royal Underdog Underdog Underdog Underdog Unlucky Unlucky Ace Superstar Lucky Lucky
Bajaj Ace Ace Superstar Ace Ace Superstar Superstar Ace Lucky Lucky
TATA Underdog Underdog Underdog Underdog Underdog Underdog Underdog Underdog Lucky Underdog
Reliance Lucky Underdog Underdog Underdog Underdog Underdog Underdog Underdog Underdog Underdog
IFFCO Lucky Underdog Underdog Underdog Underdog Unlucky Underdog Unlucky Unlucky Underdog
ICICI Underdog Lucky Lucky Lucky Underdog Lucky Underdog Superstar Unlucky Unlucky
(Note: Author’s Own Calculations)
The results of the “Efficiency-Profitability Matrix” of Indian General Insurers
reveal that Public Sector is showing good results in terms of relationship between
profitability and efficiency. New India Assurance Company can be regarded as the
flagship unit in the Indian public sector insurance industry in terms of both efficiency and
profitability as it has been lying either in ‘Superstar’ or in the ‘Ace’ quadrant in almost 8
years out of 10 years under consideration. Rest of the public sector insurers are also
depicting a good picture as the United India Insurance Company has been either lying in
the ‘Superstar’ or in the ‘Ace’ quadrant in 7 years. Moreover the Oriental Insurance
Company and National Insurance Company have also shown the good position in 6 years
and 5 years resp. out of 10 years under study. Analyzing the Private Sector Insurers it
could be seen that Bajaj Allianz General Insurance Company can be considered as the
ideal bench mark for the laggards on the efficiency and profitability dimensions of
performance evaluation. One worth noticeable point is that from the last two years it has
been lying in the ‘lucky’ quadrant and it should try to maintain its previous position by
paying attention towards the efficiency. Royal and ICICI both have been lying in the
‘superstar’ quadrant or ‘ace’ quadrant in 2 years and 1 year respectively. The picture of
the Private sector insurers is not good as depicted by the performance matrix, they are
either lying in the ‘lucky’ or in the ‘underdog’ quadrants which is an indication that they
should either pay attention towards the efficiency-profitability parameters or they would
325
326
soon be at very pathetic position. These insurers are not functioning well and feature the
presence of considerable wastage of the inputs. These insurers have the potential for
profitability increase through an improvement in their operating efficiency.