chapter iii infrastructure and agriculture...
TRANSCRIPT
CHAPTER III
INFRASTRUCTURE AND AGRICULTURE DEVELOPMENT
INFRASTRUCTURE IN GENERAL
Infrastructure is a frequently used word but there is no
consensus in economic literature on its precise meaning. The word
'infrastructure' evolved during the second world war by military
strategists to indicate wide ranging elements of war logistics. It was
later the word used by development economists interchangeably with
"overhead capital", a concept said to have been used for the first time
by H.W. Singer.I He identified two basic characteristics of
infrastructural facilities. First, they are not directly productive and
second, they are in nature of overhead installations, or costs which
are necessary for the continuation of directly productive activities. R.
Nurkse2 used the word "social overhead capital" highlighting several
characteristics of infrastructure, "lumpiness" being an important one.
The other suggested characteristics were that infrastructure facilities
were basic for any productive activity, could not be imported, required
large and costly installations, called for public assistance, had long
maturity period and generated external economics.
In Rostow's scheme of 'stages of economic growth', one of the
preconditions for "take - off' is the building up of 'social overhead
capital'. He suggested three characteristics of social overhead capital
in terms of nature of investment. "First, their periods of gestation and
pay off are usually long. Second, social overhead capital is generally
lumpy. Third, of its nature, the profits from social overhead capital
Singer. H.W 1951 "Development Prospects as Part of National Development Programme" In the Formulation and Appraisal of Development Projects.
Nurkse, R., 1955 Problems of Capital Formulation in Underdeveloped Countries. Basil Blackwell, Oxford.
63
often return to the community as a whole through indirect chain of
causation rather than directly to the initiating entrepreneurs. "3
Economists have identified various elements of infrastructure by
using slightly different set of criteria, W.A. Lewis4 has included public
utilities, ports, water supply and electricity as the key elements of
infrastructure, B. Higgins5 has preferred transport, public utilities,
schools and hospitals. For Rosentein Rodan the services of overhead
capital are indirectly productive and become available only after long
gestation periods. According to him "social overhead capital is
characterised by four indivisibilities. First, it is indivisible (irreversible}
in time. It must precede other directly productive investment. Second,
its equipment has high minimum durability. Lesser durability is either
technology impossible or much less efficient. For this and other
reasons, it is very lumpy. Third it has long gestation period. Four, an
irreducible minimum social overhead capital industry mix is a
condition forgetting off the dead end."
The concept of social overhead capital received more liberal
treatment by A.O. Hirschman.6 He defined it as comprising "those
basic services without which primary, secondary and tertiary activities
cannot function. He suggested four conditions for distinguishing
social overhead capital. They are;
1. The services provided by the activity are necessary to facilitate
or are in some sense, basic to the carrying out of wide variety of
economic activities;
2. The services are provided in almost all countries by public
agencies or by private agencies subject to public control, and
they are provided free-of-charge or at rates publicly regulated;
3. The services cannot be imported: and
Rostow, W.W., 1964 The Economics of Take off Into Self Sustained Growth, Macmillian and Co. London.
Lewsi, W.A. I 955, The Theory of Economic Growth, Allen and Unwin, London, I 955.
5 Higgins B. I 959, Economic Development, New York.
6 Hirschman, A.O. I 958, The Strategy of Economic Development, yale Univesity Press, New Haveus.
64
4. The investment needed to provide the service is characterized by
"lumpiness". Hirschman enlarged the scope of social overhead
capital by including all public services from health to
transportation; communication, power and water supply as well
as such agricultural overhead capital as irrigation and drainage
system, besides including law and order. He introduced the
term "hardcore" emphasing transport, communication and
power as the hardcore elements of infrastructure. Youngson7
has elaborated upon the definition of infrastructure as
"overhead capital not as a set of things but a set of properties.
Capital instruments may possess none or some of all these
properties in varying degrees. To the extent that they possess
them, they may be regarded as overhead capital." Thus, the
main characteristics of infrastructural services are:
a) Though not directly productive, these are essential
because of their valuable and indispensable support to
productive services;
b) These services are pre-requisites of development;
c) These services cannot be imported i.e. non-importability;
d) These services are characterized by the Lumpiness of
investment i.e. these services cannot be built in bits and
pieces and there has to be a minimum size;
e) These services generate external economies; and finally;
f) By and large these services are provided by the state.
The above-mentioned characteristics are important for
conceptual clarity, but help us little in research work. We will have to
explore the scope of infrastructural facilities.
Prof. V.K.R.V. Raos has divided the various items of
infrastructure into nine broad categories and has included forty two
activities in it-
7 Yongson, A.J. 1967, Overhead Capital: A Study in Development Economics.
8 Roa, V.K.R.V. 1981, "Infrastructure And Economic Development" Commerce Annual No., Vol. 141, No. 3628.
65
i. Transport Roads, railways, shipping, ports and
harbours, airports and transport equipment.
ii. Communication Posts, telegraphs, telephones, radio, T.V. and
Cinema
iii. Energy coal, electricity, (hydel, thermal, nuclear),
windpower, solar power, oil gas and biogas.
iv.
V.
vi.
Intermediate
goods
Increasing
productivity of
natural
resources
Science and
Technology
vii. Information
System
viii. Finance and
market, health.
Minerals, steel, metals other than steel, basic
Outputchemicals, fertilizers and pesticides,
machinery and machine tools.
Reclamation of land, irrigation (major,
medium, minor) drainage, contour bunding
and land holdings, high yielding bovine
varieties, fishing boats, fishing equipment,
commercial forests.
Teaching, basic and applied research and
national laboratories liaison with production.
Mass media, libraries and museums, fairs
and Exhibitions, books and journals.
Saving institutions (public, private and
cooperative banking sectors) credit and
lending institutions (public, private and
cooperative sectors), and capital
ix. Human Resource Drinking water, disease eradication, public
Development hygiene, family planning, medical facilities,
education - literacy; schools. Colleges and
universities, professional education, technical
and industrial schools, development
disciplines.
This description of various economists and the meaning and scope
assigned by them to term infrastructure reflects the state of debate
Today we come across terms like economic and social infrastructure,
institutional and non-institutional infrastructure, dichotomy of rural
or urban infrastructure, industrial and agricultural infrastructure. It
66
is agricultural infrastructure which forms the core of the present
study.
3.1. Agricultural Infrastructure
The distinction between agricultural infrastructure and other
infrastructural facilities is not a clear cut one. The two categories at
times may overlap. There are a number of services which are shared
by agriculture and industry equally e.g. water supply: marketing and
warehousing; banking and cooperative services and transport and
communication, etc. Hence, all the major elements of infrastructure
also forms the backbone of infrastructure.
There is scarce literature on conceptualization of agricultural
infrastructure. Nicholls9 suggested that in the early stages of
economic development, agricultural infrastructure should be taken up
as overheard capital. He includes transport, education, agricultural
research and extension services, banking and credit institutions. De
Veries 10 scheme includes transportation, communication, power,
health services, education, water supply and housing. Waharton 11 has
provided us with a broader definition. He asserts that "the physical
capital and infrastructure or organisations both public and private,
which provide economic services to and which have significant impact,
directly or indirectly, upon the economic functioning of the individual
farm are included in agricultural infrastructure. He has divided
agricultural infrastructure in capital intensive i.e. infrastructure
which heavily involve reproduction of capital for provision of services,
such as, transport, communication, power installation, irrigation,
institutions and organisations which operate and provide facilities like
marketing, storage and processing. The other division is of capital
extensive which is infrastructural includes those items in which
9 Nicholls, W.H., 1963 "An Agricultural Surplus as a factor in Economic Development", Journal of Political Economy, Vol. 71.
10 De Varies, E., 1958 "Finance for Development", Proceedings of the I 01h International Conference of
Agricultural Economists, London.
11 Whaton. C.W., 1967 "The Inti·astructure for Agricultural growth in Southwork and Jhonston (eds.) Agricultural Development and economic growth, Cornell University Press.
67
capital component is relatively low, such as, agricultural research and
extension, component schemes, agencies catering to provide plant and
animal protection, diseases and pest control organisations. In India,
Shah (1969)12 made an attempt to construct a composite index by
taking all types of infrastructural facilities across the states of India
for 1967-68. The study does not take into account the impact of
infrastructure on economic development over a longer time period.
Sri Prakash ( 1977) 13 has selected each type of infrastructure
facility separately like industrial, agricultural infrastructures etc. But
no attempt has been made to look at the overall impact of
infrastructure.
V.K. Singh's 14 study in 1985 also ignores the sectoral aspects
and takes on overall view of the economy. Most of the studies, dealing
with agricultural infrastructure, have taken single component in
isolation. Kainth (1987)15 made an attempt to study agricultural
infrastructure and its impact on agricultural development across the
districts of Punjab. He had taken four technical and five general items
of agricultural infrastructures but the study has not considered
temporal variation. Lalli (1989)16 has dealt with disparities in Haryana
from 1966-67 to 1982-83 in terms of six items of agricultural
infrastructure. Bist ( 1992) 17 has worked the districtwise variation in
agricultural infrastructure and agricultural development for the state
of Uttar Pradesh. Urmilla (1994)18 had done a comparative study of
the state of Punjab and Orissa from 1961-63 to 1981-83 in terms of
12 Shah, N., 1969 "Infrastructure for the Indian Economy", Commerce, Annual Number. 13 Shri Prakasha, 1977 "Regional Inequalities and Economic Development with special reference to
infrastructural facilities in India", Indian Journal of Regional Services, Vo. 9, No.2, pp. 172-195. 14 Singh, V.K., 1985, Infrastructure and Economic Development in India, M.Phil Dissertation,
CSRD/JNU,ND.
15 Kainth, G.S., 1987, "Infrastructure and agricultural productivity - A Case study of Variations in Punjab," Journal of Social and Economic Studies, Vol. 4, No. I pp. 47-57.
16 Lalli, 1989, Disparities in Agriculture in Haryana, M. Phil Dissertation, CSRD/JNU,N.D.
17 Bist, N.S., 1992, Disparities in Agricultural infrastructure in Uttar Pradesh: 1974-75 to 1984-85 A Regional Analysis, M.Phil Dissertation, CSRD/JNU, ND.
18 Chakraborty, U., 1994, Growth of Infrastructure and Agricultural Development: A Case Study of Punjab and Orissa, M.Phil Dissertation, CSRD/JNU/N.D.
68
agricultural infrastructure and agricultural development. Several
studies are there which deal with open facility like irrigation, credit or
some other infrastructure in isolation. Pantl9 has described the
groundwater conditions in Eastem India. Main reason for agricultural
backwardness has been attributed to the under utilization of ground
water resources. Dhawan2o has done indepth study of irrigation which
he considered to be the most important agricultural infrastructure. He
has assessed the stability and productivity of irrigated lands in India,
discussed several plans and policies to improve irrigation system, to
maximize agricultural growth and achieving stability in output.
Several studies have been done on credit. Desai2I has given a very
general outline about institutional credit, its role in the process of
economic development. Thorat22 has divided rural credit into formal
and informal groups and an all India study is done on the subject. He
has highlighted the variations in the availability of rural credit in
various states and is of the opinion that the role of formal credit
societies has increased over time. Gadgi1, 23 has presented the review
and policies of agricultural credit in India. His study encompasses
agricultural credit institutions like cooperative societies, commercial
banks etc. at state level. Also, the impact of credit institution is felt on
agricultural development.
Market infrastructure is one of the major agricultural
infrastructures. Sidhu24 concentrated on the marketing infrastructure
19 Pant Niranja, "Groundwater issues in Eastern India", Future Directions for Indian Irrigation Research and Policy, Rrth Meinzen Dick and Mark Svendesen (eds), Indian Food Policy Research Institute, Washington, D.C.
20 Dhawan, B.D., 1988, Irrigation in India's agricultural development- Productivity, Stability and Equity, Sage Publication, New Delhi.
21 Desai, B.M., 1987, "Credit", Indian Journal of Agricultural Economics, Vol. 42, No. I, Jan-March, pp. 29-31.
22 Thorat, Sukadeo, 1991 "Regional Dimensions of Rural Credit in India", The Indian Geographical Journal, Vol. 66, No.2, pp. 89-97.
23 Gadgil, M.V. 1986 "Agricultural credit in India: A Review of Performances and Policies,", Indian Journal of Agricultural Economies, Vol. 41, No.3, July-Sept K pp. 282-309.
24 Sidhu, D.D., 1987, "Marketing", Indian Journal of Agricultural Economics, Vol. 42, No.I. JanuaryMarch, pp. 32-33.
69
in particular with the various policies. He evaluated the role of market
in supply of agricultural inputs like seeds, fertilizers, farm machinery
etc. He also discussed price polices and concluded that price policy
should lay emphasis upon the process of development programmers to
find solution to the unsettled problem.
Bhalla and Tyagi25 has analysed the impact of Green revolution
at district level during 1962-65 to 1980-83. They are of the opinion
that new technology has been replicated only in those areas which
had assured irrigation base to the area which have developed
irrigation over a period of time through large investment. To correct
the interregional inequalities, large infrastructural investments have
to be directed towards neglected areas. Johl26 has put emphasis on
the structural adjustments in agricultural sector to enhance growth
and productivity in post liberalization phase. He has discussed the
determinants of agricultural growth and agricultural investment plays
important role in agriculturally marginalized areas.
Mamoria27 and Lekhi28 have dealt with agricultural problems in
India with market and credit facilities in particular. Chopra 29 has
analysed the problems regarding eastern India with rich natural
resources endowments but low agricultural development. This study
attempts to find out the reason for this backwardness.
3.2 Infrastructure : Promoting Agriculture Industry
Provision of adequate and quality infrastructure in rural area is
a 'sine qua non' for increasing the productivity and efficiency of capital
and labour in agriculture, improving the credit absorption capacity of
the area, enhancing the productivity of crops and livestock, generating
25 Bhalla, G.S. & Tyagi D.S., 1989, Patterns in Indian Agricultural Development: A District Level Study. Institute for Studies in Industrial Development. New Delhi.
26 Johl, S.S. 1994, Structural Adjustments in Agricultural Sector for Growth and Productivity. Center for Research on Rural and Industrial Development, Chandigarh.
27 Mamoria, C.B. "Agricultural Problems in India", Kitab Mahal, Alahabad, 1969.
28.Lekhi, R.K., Agricultural Problems in India, Classic a I, Publishing Company, New Delhi, 1986.
29 Chopra, Kusum, "The emerging growth challenges to Indian agricultural", Rawat Publications (1990).
70
employment, increasing farmers income, thereby, minimizing the
incidence of rural poverty. Integration of Indian economy with global
economy and signing of Agreement of Agriculture under World Trade "----~
Organization has presented enormous opportunities as well as
challenges to agricultural sector to become cost effective, competitive
and quality conscious in the international market.
Infrastructure facilities forming the part of the study are (i}
gross irrigated area as percentage of gross cropped area (ii} fertilizer
consumption as kilograms per hectare, (iii} credit to agriculture as
rupees per capita, (iv) percentage of villages electrified, (v) density of
surfaced roads.
3.3 Irrigation Infrastructure
Irrigation hold immense importance in Indian agriculture.
Rainfall is restricted to only four months i.e. June to September in a
year when monsoon arrives. Monsoon rainfall is scanty and
undependable in many parts of the county, at times monsoons are
delayed or cease prematurely, therefore, pushing large areas into
drought conditions. The effects of irrigation on agriculture are many.
There is a firm upward tendency in the overall yield of irrigated crops.
India lying in tropical and subtropical regions has long growing season
and the farmers can grow crops on a year round basis. However, 80
percent of the annual rainfall is concentrated in less than four
months, multiple cropping based on rainfall is generally not possible.
This situation can be reversed with the help of irrigation. Also, the
successful adoption of high yielding varieties depends, to a large
extent, on the timely availability of ample water supply. Benefits of
'package technology' can be extended only if more irrigation facilities
are made available to larger areas of land. The possibility cannot be
ignored that provision of irrigation facilities can make some portion of
fallows, cultivable waste, etc. cultivable. Irrigation definitely reduces
instability in agricultural output levels. There are also lots of indirect
benefits of irrigation. The positive effects of irrigation are not hidden
from the policy makers, leaders of the country and farmers etc. Hence,
71
efforts are made since independence to increase the irrigation
potential.
Now discussing the current irrigation situation of Uttar Pradesh,
The gross irrigated area of Uttar Pradesh in 1980 was 44.79 o/o of
gross cropped area which increased to 56.86% in 1990 and in 2000
66.26% of GCA was irrigated. Hence Uttar Pradesh experienced a
CAGR of 2.41 o/o during 1980-90 and 1.54% during 1990-2000 decade.
The range between the minimum and maximum of gross
cropped area is about 72.5 o/oage points . During 1980's Bahraich has
the least area ( Table III (A) of Annexure) i.e. 13.2% of GCA., while
Meerut experienced the highest proportion of GIA to GCA i.e. 85. 7%.
In 1990 this gap widened to 81.13o/oage points. Bahrai<;:h at the lowest
and Meerut at the highest level of the list with, 16.08 o/o and 97.21 o/o
respectively. In the year 2000 the gap rose to 89.3o/oage points.
Hamirpur the least irrigated and Meerut the highest with proportion of
GIA to GCA of 15.87% and 99.4% respectively.
The difference in the range is increasing but the coefficient of
variation is constantly on decline. This indicates that there has been
an overall growth in the development of irrigation facility in the state
and the variation among the districts is reducing towards better
irrigation infrastructure. (Table 3.6)
The compound annual growth rate is positive leaving aside few
exceptions. Wherever there is negative growth rate, it is miniscule
which has been again positive in 2000. Hamirpur is the only district
where negative growth rate of 2. 7% has been recorded during 2000. (
Table III (A) of Annexure).
Table 3.1 shows the division wise o/o of GIA to GCA. The district
wise data is provided in the Annexure. The administrative divisions
are kept constant at 1980 level. The new districts are clubbed with
their mother districts only, to make the data at three points of time
comparable. It is evident from the table below that the districts in
north and north-west have good irrigation infrastructure as above
72
80% of the GCA is irrigated in 2000. Saharanpur, Meerut, Bareilly and
Muradabad divisions fall under this category.
South-western, south-eastern and part of eastern region
have 60 to 80% of their respective GCA irrigated. Kanpur,
Allahabad, Mirzapur, Varanasi, Agra, Azamgarh, Basti, Lucknow
and Faizabad divisions can be put under this category. Jhansi
and Gorakhpur divisions have recorded 40 to 60°/o of their
respective GCA irrigated, while Chitrakoot and Devipatan
divisions have only 20 tO 40°/o gross irrigated area to GCA.
Divisions
Saharan pur Meerut Agra Bare illy Moradabad Kanpur Allahabad Jhansi Chitrakoot Mirzapur Varanasi Azamgarh Gorakhpur Basti Luck now Devipatan Faizabad
Table: 3.1
Gross Irrigated Area
Gross Irrigated Area
%of GCA
1980 1990 2000 69.43 81.74 89.90 83.77 95.80 97.63 61.26 73.86 79.27 48.76 69.44 82.65 53.28 78.51 83.83 45.14 62.90 65.31 39.12 53.49 66.89 25.09 28.58 41.18 16.97 23.14 24.53 31.38 37.28 62.03 50.64 64.45 73.20 45.00 48.46 79.41 44.91 47.10 41.55 41.09 32.74 67.78 40.60 58.16 69.68 19.69 20.98 30.30 45.44 52.34 67.69
Source: StatiStical Abstract of Uttar Pradesh, CSO, Column 5 & 6 are calculated by Research Scholar
3.4 Fertilizer Consumption
CAGR %
1990 2000 1.65 0.96 1.35 0.19 1.89 0.71 3.60 1.76 3.95 0.66 3.37 0.38 3.18 2.26 1.31 3.72 3.15 0.58 1.74 5.22 2.44 1.28 0.74 5.06 0.48 -1.25 -2.25 7.55 3.66 1.82 0.63 3.75
1.42 2.61
The use of chemical fertilizers has been the third most
important input of green revolution after HYV seeds and irrigation,
rather the three are intertwined. Use of HYV seeds needs heavy dose
of irrigation and fertilizers to give high yields. Since the entire
culturable land has already been brought under plough and there is
73
very little scope for bringing new areas under cultivation, the
extension of net sown area is a difficult proposition.
Generally, the use of chemical fertilizers is made according to the soil
properties. Soil testing is very essential to know the nutrient status of
the soil. As a normal practice, it is suggested that NKP should be used
in the ratio of 4:2: 1 but it also depends upon the quality and
requirement of the soil and differs from place to place.
Although the use of fertilizers has considerably increased over
the years, this increase is more prominent in areas of green
revolution. The national average consumption of fertilizer is 88.2
kg/hectare. It is very high in north-western states of Punjab (190 kg),
Haryana (162 kg), Uttar Pradesh (126 kg) and southern states of
Andhra Pradesh (145 kg) and Tamil Nadu (115 kg).
Uttar Pradesh has the benefit of early start of green revolution
as the western part of the state had a good network of canals and
wells. When the use of HYV started the use of fertilizers came along
with it but eastern Uttar Pradesh started gearing up slowly towards
more use of chemical fertilizers. In 1980 the use of fertilizer was 44.38
kg/ha abd registered a CAGR of 6. 72 % CAGR during the decade 1980
and 1990 when fertilizer use touched 85.02kg/ha. In 2000 it was
recorded to be 123kg/ha witnessing a CAGR of 3.76% over 1990.
During 1980 Hamirpur had the lowest fertilizer consumption of
5.5kg/ha and Meerut had the highest with 89.74kg/ha. In 1990
Hamirpur again recorded the lowest with 22.34 kg/ha and it is due to
this low base that the CGAR is 15% during the decade the 1980-90.
Pilibhit has the maximum fertilizer consumption i.e. 174.57 kg/ha.
During 2000 Hamirpur had still the lowest position with 1 7. 54 kg/ha
and Muzaffamagar topped the list with 199.41 kg/ha (table 2 of
Annexure).
Coefficient of variation has been worked out to understand the
variation among the districts. The value of C.V. is declining every
passing decade, from 1980 (41. 78 %) to 1990 (38.93 %) again in 2000
(38.42 %) but there is only a marginal decline ..
74
The CAGR between 1980 and 1990 is very high in all districts, this is
due to low base value. Kanpur is an exception as it is the only district
which experiences negative growth rate. Between 1990 and 2000 the
compound growth rate is high, but eight districts in central, south
western and eastern Uttar Pradesh had recorded negative growth rate
(Table III (B) of Annexure)
Table 3.2 shows the division wise use of fertilizers in kg/ha.
Saharanpur and Moradabad divisions has recorded the fertilizer use of
above 150 kg/ha which is quite high if compared with the national
and state averages throughout the study period. In Meerut, Bareilly,
Varanasi, Basti and Faizabad divisions, the fertilizer consumption was
between 125 and 150 kg/ha. Agra, Kanpur, Allahabad, Azamgarh,
Gorakhpur divisions have values below state average but above
national average. Lucknow and Devipatan divisions have low fertilizer
use, they fell in 50 to 100 kg/ha category, while Jhansi and
Chitrakoot fell in the lowest category of below 50 kg/ha. The south
central and south-eastern districts show the least response to fertilizer
consumption throughout the study period. On the other hand western
and central divisions show high usage. Basti division has recorded a
CAGR of 7% in its fertilizer consumption throughout the study period.
Divisions are competing in their own categories but the broad ranking
has been maintained. The regions with low consumption in the
beginning are still at low ranks and vice a versa.
75
Table: 3.2
Fertilizer Consumption
Fertilizer Consumption
Divisions kg/hectare
1980 1990 2000
Saharan pur 66.16 123.5 175.55 Meerut 75.63 101.61 148.17
Agra 37.54 79.96 108.98 Bare illy 49.55 122.87 145.91 Moradabad 59.63 121.84 169.82 Kanpur 43.13 90.87 124.20 Allahabad 40.66 88.89 113.26 Jhansi 17.43 28.08 44.82 Chitrakoot 6.51 22.71 19.58 Mirzapur 29.26 39.08 67.79 Varanasi 71.66 114.06 133.87 Azamgarh 52.56 86.76 101.71 Gorakhpur 56.90 116.94 123.82 Basti 32.76 66.97 140.08 Lucknow 38.75 81.32 95.75 Devipatan 28.55 44.25 59.63 Faizabad 54.12 88.70 130.41
Source: StatiStical Abstract of Uttar Pradesh, CSO, Column 5 & 6 are calculated by Research Scholar
3.5 Rural Credit
CAGR o/o
1990 2000 6.44 3.58 3.00 3.84 7.85 3.14 9.51 1.73 7.41 3.38 7.74 3.17 8.14 2.45 4.89 4.79
13.31 -1.47 2.94 5.66 4.76 1.61 5.14 1.60 7.47 0.57 7.41 7.66 7.69 1.65 4.48 3.03 5.06 3.93
Agricultural credit is one of the most crucial infrastructure] in all
agricultural development programmes. For a long time the major
source of agricultural credit was the private moneylender. This source
of credit was inadequate and highly expensive and exploitative. Since
independence, a multi-agency approach consisting of cooperatives,
commercial banks and regional rural banks- known as institutional
credit, has been adopted to provide cheaper and adequate credit to
farmers. The major policy in the sphere of agricultural credit has been
its progressive institutionalization for supplying agriculture and rural
development programmes with adequate and timely flow of credit to
assist weaker sections and less developed regions.
We can classifY the credit requirements of farmers into two types
productive and unproductive loans. The former include loans for
agricultural operations like buying seeds, fertilizers etc. They also
often borrow for unproductive purposes, such as for celebration of
marriages, births and deaths, for litigation etc.
76
Uttar Pradesh is gearing fast to provide this facility to its rural
population. From a megre 28 rs/capita in 1980 the credit to
agriculture rose to 125 rs/capita, recording a CAGR of 16.14 o/o. This
value again rose to 258 rs/ capita, i.e. a compound growth rate of
7.5%. though the state is pacing fast but this credit to agriculture is
much lower than other agriculturally developed states of India.
At district level, during 1980 Kanpur had the least credit
available for agriculture i.e. 8 rs/capita, this value rose to 10
rs/capita in 1990. During 2000 Pratapgarh had recorded the lowest
credit availability with 122 rs I capita. The highest credit to agriculture
was provided in Lucknow both during 1980 and 1990 with 231
rs/capita and 223 rs/capita, respectively though it is 8 rupees lesser
than previous decade but it is the highest. In 2000 Rampur shows the
quantum jump from 213 rs/capita (1990) to 642 rs/capita, carving a
niche at the highest position. (Table III (C) of Annexure)
Table:3.3
Credit To Agriculture
Credit to Agriculture Divisions As/capita
1980 1990 2000 Saharanpur 44 188 349 Meerut 41 198 315 Agra 33 162 423 Bare illy 33 158 426 Moradabad 30 185 461 Kanpur 21 94 251 Allahabad 10 75 158 Jhansi 34 152 258 Chitrakoot 14 96 288 Mirzapur 20 55 261 Varanasi 19 96 159 Azamgarh 21 93 152 Gorakhpur 27 85 144 Basti 17 48 157 Lucknow div 55 112 216 Devipatan div 13 115 222 Faizabad div 20 77 169
.. Source: StatiStical Abstract of Uttar Pradesh, CSO, Column 5 & 6 are calculated by Research Scholar
77
CAGR %
1990 2000 15.6 6.4 17.2 4.8 17.4 10.1 16.9 10.4 19.9 9.6 16.4 10.3 22.4 7.7 16.3 5.4 21.6 11.7 10.6 16.8 17.8 5.2 16.3 5.0 12.4 5.4 10.9 12.6 7.5 6.8
24.8 6.8 14.4 8.2
The coefficient of variation is very high in 1980, henceforth it
drastically reduced in 1990 to 44.23% and again increased by 1% in
2000. the variation among districts is brought down in first decade of
study but the period after 1990 did not experience much changes.
Allahabad, Varanasi, Azamgarh, Gorakhpur, Basti and Faizabad
divisions fell under the lowest category and in the year of 2000 they
provided less than 200 rslcapita as credit to agriculture. The divisions
of Kanpur, Jhansi, Chitrakoot, Mirzapur, Lucknow and Devipatan are
in the low category with 200-300 rslcapita credit made available to
agriculture. Saharanpur and Meerut divisions belong to medium
category with 300-400 rs I capita, while Agra, Bareilly and Moradabad
were in high category of above rs 400 I capita.
The north-western region has performed better in making credit
available to agriculture and the standards are improving over the
study period. The eastern, north-eastern and south-eastern regions
have to put in a lot of efforts to make this infrastructure work better.
On the other hand, central region during 80's performed well but later
the situation changed and the credit availability to agriculture became
too low in comparison to other regions.
3.6 Power
Energy plays an important role in economic development. Power
since early days has been significant factor of the level of development
in commercial sector, but these days it also signifies the level of
development in agricultural sector.
Second way to judge the power scenario in aural India is to see
the villages electrified over the years.
In mechanisation of agriculture, electricity plays a very
important role, it enhances the functioning of inputs and also handles
the output both quantitatively a swell as qualitatively. To improve
agricultural produce especially after green revolution, electricity
helped in further enhancement with the help of pump sets, threshers
etc. Electricity along with improving agricultural output also enhances
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the living standards of rural people. Electricity has become an
important infrastructural facility.
During 1980s Mirza pur has the lowest percentage of villages
electrified while Meerut had 100% electrification. On an average
39.31% villages were electrified in Uttar Pradesh. In 1990s Mirzapur
was again on the lowest rank and by now Muzaffarnagar, Merrut,
Bulandshahar, Gazipur, Lucknow and Rae Bareli were cent percent
electrified. Gonda had the lowest rank with 37.93% village
electrification in 2000 and 9 districts had 1 OOo/o electrification.
Table: 3.4
Percentage of villages electrified
Village Electrified Divisions o/o
1980 1990 2000
Saharan pur 67.79 95.36 100.00 Meerut 84.48 100.00 99.49 Agra 40.71 85.82 92.65 Bare illy 32.37 62.71 74.76 Moradabad 48.37 76.88 85.16 Kanpur 45.98 72.52 87.67 Allahabad 44.59 75.11 83.41 Jhansi 27.41 63.05 74.20 Chitrakoot 24.32 56.67 65.02 Mirzapur 16.04 38.72 55.57 Varanasi 33.60 85.75 85.24 Azamgarh 31.97 85.38 94.46 Gorakhpur 26.08 61.35 68.29 Basti 29.80 42.60 58.13 Lucknow 37.00 68.00 75.33 Devipatan 23.69 59.45 55.90 Faizabad 39.45 71.28 78.47 Source: StatJstJcal Abstract of Uttar Pradesh, CSO,
Column 5 & 6 are calculated by Research Scholar
CAGR %
1990 3.47 1.70 7.74 6.84 4.74 4.66 5.35 8.69 8.83 9.21 9.82
10.32 8.93 3.64 6.28 9.64 6.09
2000 0.48
-0.05 0.77 1.77 1.03 1.92 1.05 1.64 1.38 3.68
-0.06 1.02 1.08 3.16 1.03
-0.61
0.97
The coefficient of correlation had its declining since 1980
onwards from 45% in 1980 to 25% in 1990 and further to 21 o/o in
2000. This is a good indicator as it shows that the gap in
electrification is reducing among districts.
The western Uttar Pradesh had best infrastructure facilities
throughout the state and from the beginning of the study period.
Contain sections of Eastern and Central Uttar Pradesh are also
performing well in this infrastructure. The Southern districts are poor
79
performers in this facility and have to gear up in the direction of rural
electrification.
The compound annual growth rate is positive during 1980
and 1990. Meerut, Varanasi and Devipatan divisions had experienced
negative CAGR during 1990-2000, but the values are miniscule.
The district wise data show positive growth rate throughout
1980-90 period and the values are high. This is due to low base
values. Gonda has experienced high negative growth rate in 2001.
The overall performance of the state on this front is quite
satisfactory.
3. 7 Road Density
Road transport is of particular advantage to the farmers. Good
roads help the farmers to move their produce, particularly the
perishable products like vegetables, quickly to the mandis and towns.
Only with development of the road system, the farmers can be assured
of a steady market for his products. This assumes great importance in
the context of the green revolution. Besides, good road reduce the
strain on the draught animals also, during the monsoon season
makes possible for the villagers to move out of their villages. Year
round linkage of villages with towns and cities by roads is important
for the overall development of the country.
The indicator used in the study is road length per hundred
square kilometers. The districts adjoining terai belt had poor road
density. In 1980 kheri had lowest density with only 7.58 km /00
sqkm. This position was taken by Rampur in 1990 with 12.39 km
road per hundred sqkm. Balia was lowest during 2001. while Meerut
had recorded highest road density throughout.
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Divisions
Saharanpur Meerut Agra Bare illy Moradabad Kanpur Allahabad Jhansi Chitrakoot Mirzapur Varanasi Azamgarh Gorakhpur Basti Luck now Devipatan Faizabad
TABLE: 3.5
ROAD DENSITY
Density of Road per 00 sqkm
1980 1990 2000 25.08 33.52 48.99 44.88 57.85 66.09 26.23 38.97 47.60 16.39 21.48 43.25 14.37 19.76 39.61 14.58 21.85 43.69 18.32 25.76 39.93 11.65 19.33 26.52
9.78 15.89 28.33 22.26 32.39 41.22 18.51 28.71 50.65 16.80 31.49 36.34 24.13 39.79 48.27 27.59 33.99 43.34 13.60 . 20.88 47.10 10.75 15.27 40.55 14.44 24.66 40.13
CAGR %
1990 2000 2.94 3.87 2.57 1.34 4.04 2.02 2.74 7.25 3.24 7.20 4.13 7.17 3.47 4.48 5.19 3.21 4.97 5.95 3.82 2.44 4.49 5.84 6.49 1.44 5.13 1.95 2.11 2.46 4.38 8.47 3.58 10.26 5.50 4.99
The average road density was 18 kms in 1990s and 2000 respectively.
The coefficient of variation also declined. The compound annual
growth rate of the state is showing positive trend throughout across
all districts except in Balia where a negative 5.6 percent CAGR is
recorded. we can conclude that the road network is good in western
Uttar Pradesh.
81
Table: 3.6
Coefficient of Variation
Gross Irrigated Fertilizer Villages Credit to Road 1980 Area Consumption Electrified Agriculture Length
%of GCA kg/hectare o;o rs/capita /00 sqkm Minimum 13.21 5.5 16.04 8 7.58 Maximum 85.7 89.74 100 231 75.62 Mean 46.26 45.55 39.31 29.13 18.59 Std Deviation 16.44 19.03 17.80 32.76 10.68
C.V. 35.53 41.78 45.29 112.47 57.45 Gross Irrigated Fertilizer Villages Credit to Road
1990 Area Consumption Electrified Agriculture Length %of GCA kg/hectare 0/o rs/capita /00 sqkm
Minimum 16.08 22.34 38.72 11 12.39 Maximum 97.21 174.57 100 223 90.59 Mean 58.54 87.96 72.96 123.00 27.41 Std. Deviation 20.29 34.24 18.27 54.40 12.77 c.v 34.66 38.93 25.04 44.23 46.57
Gross Irrigated Fertilizer Villages Credit to Road 2000 Area Consumption Electrified Agriculture Length
%of GCA kg/hectare % rs/capita /00 sqkm Minimum 15.87 17.54 37.93 122 16.55 Maximum 105.17 199.41 100 642 95.58 Mean 68.78 114.61 79.13 273.43 43.70 Std. Deviation 20.16 44.03 16.70 124.19 12.88
C.V 29.31 38.42 21.10 45.42 29.47
82
UTTAR PRADESH LEVELS OF INFRASTRUCTURE DEVELOPMENT
1980
VALUES OF COMPOSITE INDEX
D <-4 .31
D -4 .3o- -2 .29
- -2 .28-0 .56
- 0.57-4.49
- >4 .50
UTTAR PRADESH LEVELS OF INFRASTRUCTURE DEVELOPMENT
1990
VALUES OF COMPOSITE INDEX
0<-4.31
D -4 .3o- -2.29
- -2 .28- 0.56
- 0.57-4.49
- >4 .50
UTTAR PRADESH LEVELS OF INFRASTRUCTURE DEVELOPMENT
2000
VALUES OF COMPOSITE INDEX
D <-4 .31
CJ -4.30--2 .29
- -2 .28- 0.56
.. 0.57-449
- >4 .50
Table: 3.7
Correlation Results
Correlation Results Sugarcane Area to GCA (%) Oilseeds Area to GCA (%)
1980 1980 Composite Index (infrastructure) 1980 0.516** -0.401 *
Sugarcane Area to GCA (%) Oilseeds Area to GCA (%) 1990 1990
Composite Index (infrastructure) 1990 0.477** -0.037
Sugarcane Area to GCA (%) Oilseeds Area to GCA (%) 2000 2000
Composite Index (infrastructure) 2000 0.416** -0.324*
** Correlation is significant at the 0.01 level (2-tailed).
* Correlation is significant at the 0.05 level (2-tailed).
Correlations & Regression Results
Composite Index (infrastructure) 1980 R Square Value of production (Rs/ha) 1980 0.586** 0.34
Composite Index (infrastructure) 1990 R Square Value of production (Rs/ha) 1990 0.518** 0.27
Composite Index (infrastructure) 2000 R Square
Value of production (Rs/ha) 2000 0.635** 0.40 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
The correlation and regression results are significant and show a strong relation
between agriculture and infrastructure. Hence we can conclude that the level of
rural development has a strong inter-linkage between agricultural base and level of
infrastructure available.
86
UTTAR PRADESH AREA UNDER SUGARCANE AND COMPOSITE INDEX OF INFRASTRUCTURE
2000 (Bivariate Mapping)
VALUES OF COMPOSITE INDEX
D <-4.31
1::::::::: :1-4 .30 --2.29
~ -2 .28 - 0.56
~ 0.57-449
~ >4 .50
SUGAR CANE AREA% TO GCA
0 <6
0 6-10
11 - 15
.. 16-20
- > 20
UTTAR PRADESH AREAUNDEAOILSEEDSAND COMPOSITE INDEX OF INFRASTRUCTURE
2000 (Bivariate Mapping)
VALUES OF COMPOSITE INDEX
0 <-4 .31
l: :: :::::: l-4 .30--2 .29
~ -2.28-056
~ 0.57 - 4.49
m >4.50
OILSEEDS AREA % TO GCA
0 <2
0 2-4
5-6
- 7-8
- >8
3.8 Composite Index for Infrastructure Development
Differentiation and integration are the two complementary sides of
any scientific and social research. We have been discussing the role
infrastructure in enhancing agricultural productivity, taking each
infrastructure individually, an attempt has been made to analyse this
relationship in more comprehensive and holistic manner. A composite
index is constructed. This index provides an understanding of
infrastructure in a collective manner. Thereafter this composite index
has been correlated with Value of agricultural output at three points of
time which is 1980, 1990 and 2000. correlations are also run with sugar
cane and oilseed are percentage of gross cropped area.
Maps 3 (a}, (b) and (c) show composite index values over time and space.
We can derive that the levels of infrastructure facilities are concentrated
in north westem Uttar Pradesh during 1980s' and by 2000 whole of
westem Uttar Pradesh is performing well in infrastructure facilities.
Maps 3 (d) and (e) show bivariate maps for composite index on one hand
and cane and mustard on the other.
Infrastructure is positively correlated with sugar cane and negatively
correlated with oilseeds. (Table 3. 7}
89