chapter v analysis of inter –indusrial estate...

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171 CHAPTER V ANALYSIS OF INTER –INDUSRIAL ESTATE PERFORMANCE VARIATIONS In this chapter data collected oninfrastructure issues, constraints and performance scores of business units in different industrial estates in Goa (Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale) and as a whole were analyzed with reference to the objectives and hypotheses by performing differential analysis and, the results obtained thereby have been interpreted. The purpose of convenience and the main aim of the study that the different aspects of chapter V of the study have been organized under the following sections: 1. Differential statistics with one way ANOVA 2. Correlation analysis 3. Regression analysis

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Page 1: CHAPTER V ANALYSIS OF INTER –INDUSRIAL ESTATE …shodhganga.inflibnet.ac.in/bitstream/10603/39561/11/chapter v.pdf · belonging to Bicholim industrial estate have higher infrastructure

171

CHAPTER V

ANALYSIS OF INTER –INDUSRIAL ESTATE

PERFORMANCE VARIATIONS

In this chapter data collected oninfrastructure issues, constraints and

performance scores of business units in different industrial estates in Goa

(Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda,

Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and

Colvale) and as a whole were analyzed with reference to the objectives and

hypotheses by performing differential analysis and, the results obtained thereby

have been interpreted.

The purpose of convenience and the main aim of the study that the

different aspects of chapter V of the study have been organized under the

following sections:

1. Differential statistics with one way ANOVA

2. Correlation analysis

3. Regression analysis

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172

SECTION I

In this section, the infrastructure issues, constraints and performance

scoresof business enterprises of different Industrial Estate in Goa were

compared (Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda,

Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale) and the results are presented in the form of tables.

INFRASTRURE:

1. H0: There are no significant variations among business enterprises of

different industrial estates in Goa with regard to infrastructure issues.

H1: There are significant variations among business enterprises of different

industrial estates in Goa with regard to infrastructure issues.

One way ANOVA test was applied to test the hypothesis. The results are

presented in table 5.1

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Table5.1

Results of ANOVA test among business enterprises of different industrial

estate in Goawith regard to infrastructure issues scores

Source ofVariation

Degrees of freedom

Sum of squares

Mean sum of squares F-value P-

value Between

industrial estate enterprises

16 2491.30 155.7065 14.8797 0.0000*

1 322 3369.53 10.4644

Total 338 5860.83

*p<0.05

From the results of the table 5.1, it can be seen that a significant

difference is observe among business enterprises of different industrial estates

in Goa (Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda,

Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and

Colvale) with regard to infrastructure issues scores (F=14.8797, p<0.05) at 5%

level of significance. Hence, the null hypothesis is rejected and alternative

hypothesis is accepted. It denotes that the infrastructure issues scores are

different in different industrial estates in Goa (Corlim, Margao, Sancoale,

Mapusa, Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda,

Verna, Cuncolim, Pilerne, Madkai and Colvale).

However, F-value found to be significant. Hence, to know the pair wise

comparison of different industrial estates in Goa with regard to infrastructure

issues scores, the Tukeys multiple posts hoc procedures is applied and results

are presented in table 5.2.

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Table 5.2 Pair wise Comparison of industrial estates in Goa with regard to infrastructure issues scores by Tukeys multiple posts hoc

procedures Industry Corlim Margoa Sancoale Mapusa Tivim Bicholim Honda Bethoda Kundai Canacona Tuem Kakoda Verna Cuncolim Pilerne Madkai Colvale

Mean 28.27 23.16 21.36 16.86 19.11 23.42 19.78 20.55 20.88 20.57 18.38 18.27 18.18 17.23 20.83 18.21 18.50

SD 3.12 3.44 2.40 4.22 3.27 2.87 3.19 2.22 2.43 2.57 2.88 3.10 0.84 7.54 2.53 2.75 3.62

Corlim 1.0000

Margoa 0.0000* 1.0000

Sancoale 0.0000* 0.7960 1.0000

Mapusa 0.0000* 0.0007* 0.0706 1.0000

Tivim 0.0000* 0.0007* 0.3454 0.9689 1.0000

Bicholim 0.0002* 0.9999 0.7211 0.0006* 0.0009* 1.0000

Honda 0.0000* 0.3625 0.9973 0.9346 0.9999 0.3011 1.0000

Bethoda 0.0000* 0.3127 0.9999 0.4063 0.9813 0.2679 0.9999 1.0000

Kundai 0.0000* 0.2921 0.9999 0.1608 0.6832 0.2627 0.9999 0.9999 1.0000

Canacona 0.0000* 0.9073 0.9999 0.7620 0.9997 0.8532 0.9999 0.9999 0.9999 1.0000

Tuem 0.0000* 0.0271* 0.6213 0.9999 0.9999 0.0220* 0.9999 0.9723 0.8419 0.9970 1.0000

Kakoda 0.0000* 0.0035* 0.3258 0.9999 0.9999 0.0032* 0.9998 0.8948 0.5872 0.9898 0.9999 1.0000

Verna 0.0000* 0.0000* 0.0033* 0.9999 0.9992 0.0000* 0.9962 0.3154 0.0147* 0.9294 0.9999 0.9999 1.0000

Cuncolim 0.0000* 0.0000* 0.0004* 0.9999 0.8279 0.0000* 0.8531 0.0598 0.0020* 0.5923 0.9999 0.9999 0.9996 1.0000

Pilerne 0.0000* 0.5037 0.9999 0.2656 0.9006 0.4354 0.9999 0.9999 0.9999 0.9999 0.9166 0.7587 0.1312 0.0198 1.0000

Madkai 0.0000* 0.0006* 0.1615 0.9999 0.9999 0.0006* 0.9995 0.7877 0.3679 0.9796 0.9999 0.9999 0.9999 0.9999 0.5926 1.0000

Colvale 0.0000* 0.1186 0.8521 0.9999 0.9999 0.0948 0.9999 0.9951 0.9602 0.9994 0.9999 0.9999 0.9999 0.9999 0.9803 0.9999 1.0000 *p<0.05

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175

From the results, it can be seen that:

• The business enterprises belongingto Corlim industrial estate differ

significantly with regard to infrastructure issues scores as compared to business

enterprises belonging to Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda,

Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale industrial estates at 5% level of significance. Hence, the

enterprises belonging to Corlim industrial estate have higher infrastructure

issues scores as compared to Margao, Sancoale, Mapusa, Tivim, Bicholim,

Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne,

Madkai and Colvale industrial estates.

• The business enterprises belonging to Margao industrial estate differ

significantly with regard to infrastructure issues scores as compared to business

enterprise belonging to Mapusa, Tivim, Tuem, Kakoda, Verna, Cuncolim, and

Madkaiindustrial estateat 5% level of significance. Hence, the business

enterprises of Margao industrial estate have higher infrastructure issues scores

as compared to Mapusa, Tivim, Tuem, Kakoda, Verna, Cuncolim, Madkai

industrial estates. However, business enterprises belonging to Margao

industrial estate do not differ as compared to business enterprises belonging to

other industrial estates except Mapusa, Tivim, Tuem, Kakoda, Verna,

Cuncolim, Madkai industrial estates with respect to infrastructure issues

scoresat 5% level of significance.

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176

• The business enterprises belonging to Sancoale industrial estate differ

significantly with regard to infrastructure issues scores as compared to business

enterprises belonging to Verna and Cuncolim industrial estates at 5% level of

significance. It denotes that the business enterprises belonging Sancoale

industrial estate havehigher infrastructure issues scores as compared to Verna

and Cuncolim industrial estates. However, businessenterprises belonging to

Sancoale industrial estatedonot differ as compared to business enterprises of

other industrial estates except Verna and Cuncolim industrial estatesat 5% level

of significance.

• The business enterprises belonging to Mapusa industrial estate differ

significantly with regard to infrastructure issue scores as compared to

enterprises belonging to Bicholim industrial estate at 5% level of significance.

Hence, the enterprises belonging to Mapusa industrial estate has higher

infrastructure issue scores as compared to Bicholim industrial estate. However,

business enterprises belonging to Mapusa industrial estate do not differ as

compared to other business enterprises belonging to other industrial estates

except Bicholim industrial estate at 5% level of significance.

• The business enterprises belonging to Tivim industrial estate differ

significantly with regard to infrastructure issues scores as compared to

industries belongingto Bicholim industrial estateat 5% level of significance.

Hence, the businesses enterprises belonging to Tivim industrial estate have

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177

higher infrastructure issue scores as compared to Bicholim industrial estate.

However, business enterprises of Tivim industrial estate do not differ as

compared to business enterprises belonging to other industrial estates except

Bicholim industrial estateat 5% level of significance.

• The business enterprises belonging to Bicholim industrial estate differ

significantly with regard to infrastructure issues scores as compared to business

enterprises belonging to Tuem, Kakoda, Verna, Cuncolim and Madkai

industrial estates at 5% level of significance. Hence, the businesses enterprises

belonging to Bicholim industrial estate have higher infrastructure issues scores

as compared Tuem, Kakoda, Verna, Cuncolim and Madkai industrial estates.

However, enterprises belonging to Bicholim industrial estate do not differ as

compared to enterprises belonging to other industrial estates except Tuem,

Kakoda, Verna, Cuncolim and Madkai industrial estates at 5% level of

significance.

• The business enterprises belonging to Honda industrial estate do not

differ significantly with regard to infrastructure issues scores as compared to

business enterprises belonging to Bethoda, Kundai, Canacona, Tuem, Kakoda,

Verna, Cuncolim, Pilerne, Madkai and Colvale industrial estate at 5% level of

significance. Hence, the enterprises belonging Honda industrial estate and

Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale industrial estates have similar infrastructure issues scores.

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178

• The business enterprises belonging to Bethoda industrial estate do not

differ significantly with regard to infrastructure issues scores as compared to

business enterprises to Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim,

Pilerne, Madkai and Colvale industrial estates at 5% level of significance.

Hence, the business enterprises belonging to Bethoda and Kundai, Canacona,

Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale industrial

estates have similar infrastructure issues scores.

• The business enterprises belonging to Kundai industrial estate differ

significantly with regard to infrastructure issues scores as compared to business

enterprises belonging to Verna and Cuncolim industrial estateat 5% level of

significance. It denotes that the business enterprises belonging to Kundai

industrial estate have higher infrastructure issue scores as compared to Verna

and Cuncolim industrial estates However, business enterprises belonging to

Kundai industrial estate do not differs as compared to enterprises belong to

other industrial estate except Verna and Cuncolim industrial estates at 5% level

of significance.

• The business enterprises belonging to Canacona industrial estate do not

differ significantly with regard to infrastructure issue scores as compared to

industries belonging to Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and

Colvale industrial estate at 5% level of significance. Hence, the enterprises

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179

belonging to Canacona and Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale industrial estates have similar infrastructure issues scores.

• The business enterprises belonging to Tuem industrial estate do not

differ significantly with regard to infrastructure issue scores as compared to

business enterprises belonging to Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale industrial estates at 5% level of significance. Hence, the business

enterprises belongingto Tuem and Kakoda, Cuncolim, Pilerne, Madkai and

Colvale industrial estates have similar infrastructure issues scores.

• The business enterprises belonging to Kakoda industrial estate do not

differ significantly with regard to infrastructure issuesscores as compared to

enterprises belonging to Verna, Pilerne, and Madkai and Colvaleindustrial

estates at 5% level of significance. Hence, the industries belonging to Kakoda

and Cuncolim, Pilerne, Madkai and Colvale industrial estates have similar

infrastructure issues scores.

• The business enterprises belonging to Verna industrial estate do not

differ significantly with regard to infrastructure issue scores as compared to

business enterprises belonging to Cuncolim, Pilerne, Madkai and Colvale

industrial estates at 5% level of significance. Hence, the business enterprises

belonging to Verna industrial estate and Cuncolim, Pilerne, Madkai and

Colvale industrial estates have similar infrastructure issue scores.

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180

• The business enterprises belonging to Cuncolim industrial estates do not

differ significantly with regard to infrastructure issues scores as compared to

business enterprises belonging Pilerne, Madkai and Colvale industrial estates at

5% level of significance. Hence, business enterprises belonging to Cuncolim

and Pilerne, Madkai and Colvaleindustrial estates have similar infrastructure

issue scores.

• The business enterprises belonging to Pilerne industrial estate do not

differ significantly with regard to infrastructure issue scores as compared to

business enterprises belonging to Madkai and Colvale industrial estates at 5%

level of significance. Hence, the Business enterprises belonging to Pilerne and

Madkai and Colvale industrial estates have similar infrastructure issue scores.

• The business enterprises belonging to Madkai industrial estate do not

differ significantly with regard to infrastructure issues scores as compared to

industries belonging to Colvale industrial estate at 5% level of significance.

Hence, the industries belonging to Madkai and Colvale industrial estates have

similar issue scores. The mean scores are presented in figure 5.1

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181

CONSTRAINTS:

2. H0: There are no significant variations among business enterprises of

different industrial estates in Goa with regard to constraints.

H1: There are significant variations among business enterprises of different

industrial estates in Goa with regard to constraints.

One way ANOVA test is applied to test the hypothesis. The results are

presented in table 5.3

28.2

7

23.1

6

21.3

6

16.8

6

19.1

1

23.4

2

19.7

8

20.5

5

20.8

8

20.5

7

18.3

8

18.2

7

18.1

8

17.2

3 20.8

3

18.2

1

18.5

0

3.12

3.44

2.40 4.

22

3.27

2.87 3.19

2.22

2.43

2.57 2.88 3.10

0.84

7.54

2.53

2.75 3.62

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

Cor

lin

Mar

goa

Sanc

oale

Map

sa

Tiv

in

Bic

holin

Hon

da

Bet

hod

Kun

dai

Can

acon

a

Tue

n

Kak

oda

Ver

na

Cun

colim

Pile

rne

Mad

kai

Col

vale

Mea

n va

lue

Figure 5.1Inter-industrial estate comparison with regard to infrastructure

issues scores

Mean SD

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Table 5.3

Results of ANOVA test among business enterprises of different industrial estates in Goa with regard to constraints scores.

Source of Variation

Degrees of

freedom

Sum of squares

Mean sum of squares

F-value P-value

Between industrial estate enterprises

16 2336.72 146.0448 20.8767 0.0000*

1 322 2252.58 6.9956

Total 338 4589.29

*p<0.05

From the results of the above table it can be seen that a significant

difference is observed among business enterprises of different industrial estates in

Goa (Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda,

Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and

Colvale) with regard to constraints scores (F=20.8767, p<0.05) at 5% level of

significance. Hence, the null hypothesis is rejected and alternative hypothesis is

accepted. It denotes that, the constraint scores are different of business enterprise

in different industrial estates in Goa (Corlim, Margao Sancoale, Mapusa, Tivim,

Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim,

Pilerne, Madkai and Colvale)

However, it is found that F-value is significant, hence to know the pair wise

comparison of business enterprises of different industrial estate in Goa with

regard to constraints scores the Tukeys multiple posts hoc procedures is applied

and results are presented in table 5.4

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183

Table 5.4

Pair wise comparison of industrial estates in Goa with regard to constraints scores by Tukeys multiple posts hoc procedures

Industry Corlim Margoa Sancoale Mapusa Tivim Bicholim Honda Bethoda Kundai Cancan Tuem Kakoda Verna Cuncolim Pilerne Madkai Colvale

Mean 12.64 11.92 12.58 13.43 10.21 12.68 12.78 8.36 6.42 11.00 4.75 8.18 11.45 5.14 8.39 8.00 9.83

SD 3.22 2.58 3.45 3.05 2.86 2.50 2.33 4.44 1.85 1.41 2.31 1.83 1.57 1.61 2.76 1.71 3.66

Corlim 1.0000

Margoa 0.9917 1.0000

Sancoale 0.9987 0.9999 1.0000

Mapusa 0.9917 0.9964 1.0000 1.0000

Tivim 0.1045 0.6218 0.0474* 0.2466 1.0000

Bicholim 0.9999 0.9999 1.0000 0.9999 0.1277 1.0000

Honda 0.9986 0.9999 1.0000 0.9999 0.4791 0.9999 1.0000

Bethoda 0.0000* 0.0005* 0.0000* 0.0013* 0.5354 0.0001* 0.0029* 1.0000

Kundai 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.2875 1.0000

Canacona 0.9926 1.0000 0.9922 0.9543 1.0000 0.9917 0.9964 0.6570 0.0026* 1.0000

Tuem 0.0000* 0.0000* 0.0000* 0.0000* 0.0001* 0.0000* 0.0000* 0.0793 0.9702 0.0006* 1.0000

Kakoda 0.0007* 0.0103* 0.0003* 0.0047* 0.7545 0.0009* 0.0120* 0.9999 0.8629 0.7244 0.2954 1.0000

Verna 0.9604 0.9999 0.9289 0.9236 0.8975 0.9635 0.9955 0.0014* 0.0000* 0.9999 0.0000* 0.0283* 1.0000

Cuncolim 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.0000* 0.0059* 0.9154 0.0001* 0.9999 0.1361 0.0000* 1.0000

Pilerne 0.0000* 0.0005* 0.0000* 0.0013* 0.5406 0.0001* 0.0029* 0.9999 0.2404 0.6660 0.0693 0.9999 0.0012* 0.0043* 1.0000

Madkai 0.0001* 0.0011* 0.0000* 0.0012* 0.4577 0.0001* 0.0028* 0.9999 0.8771 0.5398 0.3079 0.9999 0.0032* 0.1192 1.0000 1.0000

Colvale 0.6540 0.9500 0.6274 0.5452 0.9999 0.6535 0.7850 0.9989 0.2018 0.9999 0.0360* 0.9986 0.9941 0.0125* 0.9991 0.9929 1.0000

*p<0.05

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184

From the results it can be seen that:

• The business enterprises belonging to Corlim industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne

and Madkai industrial estates at 5% level of significance. Hence, the industries

belonging to Corlim industrial estate have higher scores of company’s normal

production level affected due to constraints as compared to Bethoda, Kundai,

Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial estates. However,

Business enterprises belonging to Corlim industrial estate do not differ as

compared to business enterprises of other industrial estates except Bethoda,

Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial estates at 5%

level of significance.

• The business enterprises belonging to Margao industrial estate differ

significantly with regard to constraints scores as compared to industries

belonging to Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai

industrial estates at 5% level of significance. Hence, the business enterprises

belonging to Margao industrial estate have higher scores of company’s normal

production level affected due to constraints as compared to Bethoda, Kundai,

Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial estates. However,

business enterprises belonging to Margao industrial estate do not differs as

compared to business enterprises of other industrial estates except Bethoda,

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185

Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial estates at 5%

level of significance.

• The business enterprises belongingto Sancoale industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Tivim, Bethoda, Kundai, Tuem, Kakoda, Cuncolim,

Pilerne and Madkai industrial estates at 5% level of significance. Hence, the

business enterprises belonging to Sancoale industrial estate have higher scores

of company’s normal production level affected due to constraints as compared

to Tivim , Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai

industrial estates. Besides, business enterprises belonging to Sancoale industrial

estate do not differ as compared to business enterprises of other industrial

estate except Tivim, Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and

Madkai industrial estates at 5% level of significance.

• The business enterprises belonging to Mapusa industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne

and Madkai industrial estates at 5% level of significance. It denotes that, the

enterprises belonging to Mapusa industrial estate have higher scores of

company’s normal production level affected due to constraints as compared to

Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial

estates. But enterprises belonging to Margao industrial estate do not differ as

compared to business enterprises of other industrial estates except Bethoda,

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186

Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial estates at 5%

level of significance.

• The business enterprises belonging to Tivim industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Kundai, Tuem, and Cuncolim industrial estates at 5%

level of significance. Hence, the business enterprises belonging to Mapusa

industrial estate have higher scores of company’s normal production level

affected due to constraints as compared to Kundai, Tuem and Cuncolim

industrial estates. Moreover, business enterprises belonging to Tivim industrial

estates do not differ as compared to business enterprises of other industrial

estates except Kundai, Tuem, Cuncolim industrial estates at 5% level of

significance.

• The business enterprises belonging to Bicholim industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne

and Madkai industrial estates at 5% level of significance. Hence, the business

enterprises belonging to Bicholim industrial estate have higher scores of

company’s normal production level affected due to constraints as compared to

Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial

estates, Moreover, business enterprises belonging to Bicholim industrial estate

do not differs as compared to business enterprises of other industrial estates

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187

except Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai

industrial estates at 5% level of significance.

• The business enterprises belonging to Honda industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne

and Madkai industrial estates at 5% level of significance. Hence, the business

enterprises belonging to Honda industrial estate have higher scores of

company’s normal production level affected due to constraints as compared to

Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial

estates. However, business enterprises belonging to Honda industrial estate do

not differ as compared to business enterprises of other industrial estatesexcept

Bethoda, Kundai, Tuem, Kakoda, Cuncolim, Pilerne and Madkai industrial

estates at 5% level of significance.

• The business enterprises belonging to Bethoda industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Verna and Cuncolim industrial estates at 5% level of

significance. Hence, the industries belonging to Bethoda industrial estate have

higher scores of company’s normal production level affected due to constraints

as compared to Verna and Cuncolim industrial estates. Moreover, business

enterprises belonging to Bethoda industrial estate do not differs as compared to

business enterprises belonging to other industrial estates except Verna and

Cuncolim industrial estates at 5% level of significance.

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• The business enterprises belonging to Kundai industrial estate differs

significantly with regard to constraints scores as compared to business

enterprises belonging to Canacona and Verna industrial estates at 5% level of

significance. Hence, the business enterprises belonging to Kundai industrial

estate have higher scores of company’s normal production level affected due to

constraints as compared to Canacona and Verna industrial estates. Moreover,

business enterprises belongingto Kundai industrial estate do not differ as

compared to business enterprises of other industrial estates except Canacona

and Verna industrial estates at 5% level of significance.

• The business enterprises belonging to Canacona industrial estate differ

significantly with regard to constraints scores as compared to business

enterprises belonging to Tuem and Cuncolim industrial estates at 5% level of

significance. Hence, the industries belonging to Canacona industrial estate

have higher scores of company’s normal production level affected due to

constraints as compared to Tuem and Cuncolim industrial estates. Moreover,

business enterprises belonging to Canacona industrial estate do not differ as

compared to enterprises of other industrial estates except Tuem and Cuncolim

industrial estates at 5% level of significance.

• The business enterprises belonging to Tuem industrial estate differ

significantly with regard to constraints scores as compared to industries

belonging to Verna and Colvale industrial estates at 5% level of significance.

Hence, the business enterprises belonging to Tuem industrial estate have higher

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scores of company’s normal production level affected due to constraints as

compared to Verna and Colvale industrial estates. Moreover, business

enterprises belonging to Tuem industrial estate do not differ as compared to

business enterprises belonging to other industrial estates except Verna and

Colvale industrial estates at 5% level of significance.

• The businesses enterprises belonging to Kakoda industrial estate differ

significantly with regard to constraint scores as compared to business

enterprises belonging to Verna industrial estate at 5% level of significance.

Hence, the businesses enterprises belonging to Kakoda industrial estate have

higher scores of company’s normal production level affected due to constraints

as compared to Verna industrial estate. Moreover, business enterprises

belonging to Kakoda industrial estate do not differ as compared to business

enterprises of other industrial estates except Verna industrial estate at 5% level

of significance.

• The business enterprises belonging to Verna industrial estate differ

significantly with regard to constraints scores as compared to industries

belonging to Cuncolim, Pilerne and Madkai industrial estate at 5% level of

significance. Hence, the industries belonging to Verna industrial estate have

higher scores of company’s normal production level affected due to constraints

as compared to Cuncolim, Pilerne and Madkai industrial estate. Moreover,

businessenterprises belonging to Verna industrial estate do not differ as

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compared to enterprises belonging to other industrial estates except Cuncolim,

Pilerne and Madkai industrial estates at 5% level of significance.

• The business enterprises belonging to Cuncolim industrial estate differ

significantly with regard to constraints as compared to business enterprises

belonging toPilerne and Colvale industrial estates at 5% level of significance.

Hence, the enterprises belonging to Cuncolim industrial estate have higher

scores of company’s normal production level affected due to constraints as

compared to Pilerne and Colvale industrial estates. Moreover, business

enterprises belonging to Cuncolim industrial estate do not differ as compared to

business enterprises of otherindustrial estates except Pilerne and Colvale

industrial estates at 5% level of significance. However, rests of other

combinations of business enterprises belonging to different industrial estates

are found to be statistically not significant, with regard to scores of company’s

normal production level affected due to constraints at 5% level of significance

(p<0.05). The mean scores are presented in figure 5.2.

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Figure 5.2

PERFORMANCE:

3. Ho: There are no significant variations among business enterprises of

different industrial estates in Goa with regard to performance scores.

H1: There are significant variations among business enterprises of different

industrial estates in Goa with regard to performance scores.

One way ANOVA test is applied to test the hypothesis. The results are

presented in table 5.5

12.6

4

11.9

2

12.5

8 13.4

3

10.2

1 12.6

8

12.7

8

8.36

6.42

11.0

0

4.75

8.18

11.4

5

5.14

8.39

8.00

9.83

3.22

2.58 3.

45

3.05

2.86

2.50

2.33

4.44

1.85

1.41 2.

31

1.83

1.57

1.61

2.76

1.71

3.66

0.0

3.0

6.0

9.0

12.0

15.0

Cor

lin

Mar

goa

Sanc

oale

Map

sa

Tiv

in

Bic

holin

Hon

da

Bet

hod

Kun

dai

Can

acon

a

Tuen

Kak

oda

Ver

na

Cun

colim

Pile

rne

Mad

kai

Col

vale

Mea

n va

lue

Inter-Industrial estate comparison with regard to constraints scores

Mean SD

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Table 5.5

Results of ANOVA test among business enterprise of Industrial Estate in

Goa with regard to performance scores

Source of Variation

Degrees of freedom

Sum of squares

Mean sum of squares

F-value P-value

Between industrial estate

enterprises

16 274.38 17.1490 2.8101 0.0003*

1 322 1965.06 6.1027

Total 338 2239.44

*p<0.05

From the results of table 5.5 it can be seen that a significant difference is

observed among business enterprises of different industrial estates in Goa

(Corlim, Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda,

Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and

Colvale) with regard to performance scores (F=2.8101, p<0.05) at 5% level of

significance. Hence, the null hypothesis is rejected and alternative hypothesis

is accepted. It denotes that, the performance scores are different in different

business enterprises of industrial estates in Goa (Corlim, Margao, Sancoale,

Mapusa, Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda,

Verna, Cuncolim, Pilerne, Madkai and Colvale)

However, F-value is found significant. Hence, to know the pair wise

comparison of different industrial estate industries in Goa (Corlim, Margao,

Sancoale, Mapusa, Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona,

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Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale) with regard to

performance scores the Tukeys multiple posts hoc procedures is applied and

results are presented in table 5.6

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Table 5.6

Pair wise comparison of industrial estates in Goa with regard to

Performance scores by Tukeys multiple posts hoc procedures.

Industry Corlim Margoa Sancoale Mapusa Tivim Bicholim Honda Bethoda Kundai Cancan Tuem Kakoda Verna Cuncolim Pilerne Madkai Colvale

Mean 20.32 18.44 18.88 19.57 19.29 19.47 18.11 19.45 19.98 20.57 20.88 19.91 21.03 20.50 21.26 20.64 21.50

SD 3.59 3.04 2.75 2.57 3.00 3.26 1.83 3.46 1.68 1.99 1.36 2.02 1.61 1.95 1.71 1.60 0.84

Corlim 1.0000

Margoa 0.4257 1.0000

Sancoale 0.7821 0.9999 1.0000

Mapusa 0.9999 0.9997 0.9999 1.0000

Tivim 0.9900 0.9984 0.9999 0.9999 1.0000

Bicholim 0.9997 0.9950 0.9999 0.9999 0.9999 1.0000

Honda 0.6858 0.9999 0.9999 0.9992 0.9985 0.9955 1.0000

Bethoda 0.9993 0.9937 0.9999 0.9999 0.9999 0.9999 0.9950 1.0000

Kundai 0.9999 0.5219 0.8872 0.9999 0.9994 0.9999 0.8163 0.9999 1.0000

Canacona 0.9999 0.8400 0.9688 0.9999 0.9986 0.9999 0.8613 0.9998 0.9999 1.0000

Tuem 0.9999 0.5581 0.8219 0.9999 0.9754 0.9961 0.6529 0.9942 0.9999 0.9999 1.0000

Kakoda 0.9999 0.9693 0.9990 0.9999 0.9999 0.9999 0.9733 0.9999 0.9999 0.9999 0.9999 1.0000

Verna 0.9997 0.0047* 0.0225* 0.9920 0.2570 0.6888 0.1096 0.5824 0.8823 0.9999 0.9999 0.9966 1.0000

Cuncolim 0.9999 0.2597 0.5907 0.9999 0.9525 0.9967 0.5447 0.9937 0.9999 0.9999 0.9999 0.9999 0.9999 1.0000

Pilerne 0.9978 0.0086* 0.0371* 0.9783 0.2663 0.6295 0.0963 0.5385 0.8429 0.9999 0.9999 0.9880 0.9999 0.9998 1.0000

Madkai 0.9999 0.3752 0.6996 0.9999 0.9628 0.9961 0.5796 0.9936 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999 1.0000

Colvale 0.9998 0.3388 0.5857 0.9938 0.8532 0.9459 0.4242 0.9327 0.9932 0.9999 0.9999 0.9980 0.9999 0.9999 0.9999 1.0000 1.0000

*p<0.05.

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From the results the following observations are made:

• The business enterprises belonging to Corlim industrial estate do not

differ significantly with regard to performance scores as compared to business

enterprises belonging to Margao, Sancoale, Mapusa, Tivim, Bicholim, Honda,

Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai

and Colvale industrial estates at 5% level of significance. It denotes the

business enterprises belonging to Corlim and Margao, Sancoale, Mapusa,

Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna,

Cuncolim, Pilerne, Madkai and Colvale industrial estates have similar

performance scores at 5% level of significance.

• The business enterprises belonging to Margao industrial estate differ

significantly with regard to performance scores as compared to business

enterprises belonging to Verna and Pilerne industrial estates at 5% level of

significance. Hence, business enterprises of Margao industrial estate do not

differ as compared to business enterprises of other industrial estate except

Verna and Pilerne industrial estates at 5% level of significance

• The business enterprises belonging to Sancoale industrial estate differ

significantly with regard to performance scores as compared to business

enterprises belonging to Verna and Pilerne industrial estates at 5% level of

significance.Hence, business enterprises of Sancoale industrial estate do not

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differ as compared to business enterprises of other industrial estate except

Verna and Pilerne industrial estates at 5% level of significance.

• The business enterprises belonging to Mapusa industrial estate do not

differ significantly with regard to performance scores as compared to business

enterprises belonging to Tivim, Bicholim, Honda, Bethoda, Kundai, Canacona,

Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale industrial

estates at 5% level of significance. It denotes, the business enterprises

belonging to Mapusa and Tivim, Bicholim, Honda, Bethoda, Kundai,

Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale

industrial estates have similar performance scores.

• The industries belonging to Tivim industrial estate do not differ

significantly with regard to performance scores as compared to business.

enterprises belonging to Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem,

Kakoda, Verna, Cuncolim, Pilerne, Madkai, Colvale industrial estates at 5%

level of significance. It denotes that, the industries belonging to Tivim and

Bicholim, Honda, Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna,

Cuncolim, Pilerne, Madkai, Colvaleindustrial estates have similar performance

scores.

• The business enterprises belonging to Bicholim industrial estate do not

differ significantly with regard to performance scores as compared to business

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enterprises belonging to Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne,

Madkai and Colvale industrial estates at 5% level of significance. It denotes the

business enterprises of Bicholim industrial estate and Canacona, Tuem,

Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale industrial estates have

similar performance scores.

• The business enterprises belonging to Honda industrial estate do

notdiffer significantly with regard to performance scores as compared to

business enterprises belonging to Bethoda, Kundai, Canacona, Tuem, Kakoda,

Verna, Cuncolim, Pilerne, Madkai and Colvale industrial estates at 5% level of

significance. It denotes, the business enterprises belonging to Honda industrial

estate and Bethoda, Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim,

Pilerne, Madkai and Colvale industrial estates have similar performance scores.

• The business enterprises belonging to Bethoda industrial estate do not

differ significantly with regard to performance scores as compared to business

enterprises belonging to Kundai, Canacona, Tuem, Kakoda, Verna, Cuncolim,

Pilerne, Madkai and Colvale industrial estates at 5% level of significance. It

denotes the business enterprises of Bethoda industrial estate and Kundai,

Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale

industrial estates have similar performance scores.

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• The businessenterprises belonging to Kundai industrial estate do not

differs significantly with regard to performance scores as compared to business

enterprises belonging to Canacona, Tuem, Kakoda, Verna, Cuncolim, Pilerne,

Madkai and Colvale industrial estates at 5% level of significance. It denotes

that the business enterprises of Kundai industrial estate and Canacona, Tuem,

Kakoda, Verna, Cuncolim, Pilerne, Madkai and Colvale industrial estates have

similar performance scores.

However, rests of other combinations of business enterprises belonging

to different industrial estates are found to be statistically not significant with

regard to performance scores of at 5% level of significance (p<0.05). The mean

scores of performance are presented in figure5.3

20.3

2

18.4

4

18.8

8 19.5

7

19.2

9

19.4

7

18.1

1

19.4

5

19.9

8

20.5

7

20.8

8

19.9

1

21.0

3

20.5

0

21.2

6

20.6

4

21.5

0

3.59

3.04

2.75

2.57

3.00

3.26

1.83 3.

46

1.68

1.99

1.36 2.

02

1.61

1.95

1.71

1.60

0.84

0.03.06.09.0

12.015.018.021.024.027.030.0

Cor

lin

Mar

goa

Sanc

oale

Map

sa

Tiv

in

Bic

holin

Hon

da

Bet

hod

Kun

dai

Can

acon

a

Tue

n

Kak

oda

Ver

na

Cun

colim

Pile

rne

Mad

kai

Col

vale

Mea

n va

lue

Figure 5.3

Inter-Industrial estate comparison with regard to performance scores

Mean SD

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SECTION II

In this section, the inter relationships were established between

constraints, and Infrastructure issues and performance scores of business

enterprises of the different industrial estates in Goa State.

4. Ho: There is no correlation between constraints and performance scores

of business enterprises of different industrial estates in Goa.

H1: There is correlation between constraints and performance scores of

business enterprises of different industrial estates in Goa

5. Ho: There is no correlation betweenconstraints and infrastructure issues of

business enterprises of different industrial estates in Goa

H1: There is correlation between constraints and infrastructureissues of

business enterprises of different industrial estates in Goa

6. Ho: There is no correlation between performance scores and infrastructure

issues of business enterprises of different industrial estates in Goa

H1: There is correlation between performance scores and infrastructure issues

of business enterprises of different industrial estates in Goa

To test this hypothesis, the Karl Pearson’s correlation coefficient

technique has been applied and the results are presented in table.5.7

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Table5.7

Results of correlation coefficient between constraints, performance and

infrastructure issues scores of business enterprises of

industrial estates of Goa

Variables Constraints Performance Issues Constraints 1.0000

Performance -0.2662* 1.0000

Issues 0.2738* -0.1595* 1.0000

*p<0.05

From the results of table 5.7, it can be seen that:

A significant and negative relationship was observed between

constraints and performance scores of different business enterprises of different

industrial estates in Goa (r=-0.2662, p<0.05) at 5% level of significance.

Hence, the null hypothesis is rejected and alternative hypothesis is accepted. It

denotes that the constraints and performance scores of different business

enterprises of industrial estates in the State are dependent on each other. An

increase or decrease in constraints scores results in the corresponding increase

or decrease in performance scores.

A significant and positive relationship was observed between constraints

and infrastructure issue scores of different business enterprises of different

industrial estates in the State of Goa (r=0.2738, p<0.05) at 5% level of

significance. Hence, the null hypothesis is rejected and alternative hypothesis

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is accepted. It denotes that the constraints and infrastructure issues scores of

different business enterprises in different industrial estates of the State are

dependent on each other. An increase or decrease in infrastructure issues scores

results in the corresponding increase or decrease in infrastructure issue scores.

A significant and negative relationship was observed between

performance and infrastructure issues scores of different industries in Goa state

(r=-0.1595, p<0.05) at 5% level of significance. Hence, the null hypothesis is

rejected and alternative hypothesis is accepted. It denotes that the performance

and infrastructure issues scores of business enterprises of different industrial

estates in state of Goa are dependent on each other. An increase or decrease in

infrastructure issues scores results in corresponding increase or decrease in

performance scores.

SECTION III

In this section, influence of constraints and infrastructure on

performance scores of business enterprises of different industrial estates in Goa

is studied to find out the significant influencing variable of performance. The

level of Performance of business enterprises generally depends on availability

of infrastructure as well as constraints faced by them. Hence,infrastructure and

constraints are considered as the independent variables of performance scores.

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7. Ho: Performance scores are not sensitive to infrastructure issues of business

enterprises of different industrial estates in Goa.

H1: Performance scores are sensitive to infrastructure issues of business

enterprises of different industrial estates in Goa

8. Ho: Performance scores are not sensitive to constraints of business

enterprises of different industrial estates in Goa

H1: performance scores are sensitive to constraintsof business enterprises of

different industrial estates in Goa

To test this hypothesis, Regression analysis technique has been applied

and results are presented in table 5.8

Table: 5.8

Regression analysis of performance by Constraints and infrastructure issues scores of business enterprises in industrial estates in Goa

Regression coefficient

SE of Regression coefficient

t-value p-level

Intercept 22.7717 0.7037 32.3586 0.0000*

Constraints -0.1680 0.0380 -4.4184 0.0000*

Issues -0.0579 0.0337 -1.7196 0.0864 R=0.2809, R²=0.0789, Adjusted R²=0.0734, F(2,336)=14.400 p<0.05, S,

Std.Error of estimate: 2.4777

*p<0.05

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From the results of the above table 5.8, it can be seen that:

A non-significant and negative influence ofinfrastructure on

performance scores at 5% level of significance is observed. Hence, the null

hypothesis is accepted and alternative hypothesis is rejected. However, a

significant and negative influence of constraints on performance scores at 5%

level of significance is observed. Hence, the null hypothesis is rejected and

alternative hypothesis is accepted. It denotes thatRegression coefficient of

performance scores is sensitive to constraintsof business enterprises of different

industrial estates in Goa.