Journal of Business and Behavioral Sciences Volume 23, Number 1 issn 1946-8113 Spring 2011 inthis issue



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Table 2: Regression Results (Fixed Effect Model)

Number of observations

350

R-squared

31

Adjusted R-square

28

Variables

Intercept

STD/TA

LTD/TA


/JD1

/LD2


/LD3

/LD4 /ID5 /LD6 /LD7 /ID8 /LD9 AD10 AD11 AD12




Coefficients

T-statistics

10.0

9.0

-15.0

-9.0

-10.0

-6.0

0.043

1.27

0.046

1.38

0.061

1.53

0.007

-0.22

0.031

-0.92

0.018

0.54

0.056

-1.62

0.043

1.30

0.011

0.34

0.039

1.16

0.016

0.48

-0.009

-0.27

CONCLUSIONS

Financial performance is an important consideration for existing and prospective investors as corporate survival depends on this. Societies also share benefits of corporate success. Financial performance has close link to financial decisions. This study examines the choices of financing patterns and investigates its impact on financial performace of sugar industry of Pakistan. Results show that the industry is 73 percent financed by debt( 51 percent Short term and 22 percent long term) Equity financing is only 27 percent. Regression results of fixed effect model where profitability has statistically significant negative relationship with short term debt as well as long term debt of the industry shows when borrowing increases either through short term or long term the industry suffer losses. Although debt financing affects the profitability negatively, but it explains changes in profitability only 28 percent. Other factors as detailed below also affect the profitability. The profitability ratio shows on average zero return

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Shah and Hijazi

on investment during sample period with the variation 12 percent. Tangible assets on average are 61 percent with the variation of 20 percent. Theoretically, firms with higher optimal level of debt financing should increase return on equity and strengthen the firm financially. But sugar industry‘s worst financial position (negative equity) indicates suboptimal use of debt. Normally companies go for long term debt financing besides equity financing and less relay on short term debt so that the firm need not to arrange debt after every short term interval. One reason that my be assigned to more short term financing and less long term debt and equity percentage is the industry‘s weak financial position where lender and investors have no confidence on industry‘s long run performance and have a fear of loosing money. Analysis of the industry‘s investment in assets (expansion), growth in sales, owner‘ equity, short term and long term debt, operating profits and profit before taxes over the sample period indicat that industry assets have an increasing trend, it almost doubled during the sample period that shows an expansion in industry. This expansionis is mostly financed through debt. Sales also show an increasing trend during sample period. When assets base increased, and sales increased, why profit could not increase? Operating profit trends are highly volatile, there could be instability in operating expenses and if we look at the profits before taxed, it seems to be managed in spells; one spell of profit is offset by the other spell of loss hence averaged to zero profit for tax purposes. When operating expenses are unjustifiably increased, the existing owners get private benefits and deprive off the minority shareholder from their due benefit and to government cause losses in term of taxes. The analysis leade towards the distrust on published accounting information. Operating and other expenses need thorough scrutiny to bring industry in tax net and profit sharing with minority shareholders. This will bring efficiency in financial performance and attract investors, hence industry will flourish and society would be able to get benefits.



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Journal of Business and Behavioral Sciences



19


Annexure-A
















Fixed Assets



















50,000 40,000 30,000 20,000 10,000












































































Fixed Assets























































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1





2

3

4

56

Yeara 1995-2004

7

8

9

10















Sales

















































50,000

























40,000 30,000 20,000





















































































Sales


































10,000























































-























































1

2

3

4

56

7

8

9 10
















Years 1995-2004

















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