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Capital Budgeting Decisions

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Financial Management Practices

Abstract

Capital budgeting decisions, being strategic in nature, are likely to have a marked bearing on profitability of corporate business enterprises. The analysis in respect of the sample companies has been carried out on the basis of the two broad parameters: (a) the investment and financing activities of the sample companies and (b) the capital budgeting practices followed by such enterprises.

Capital budgeting practices in India, at least amongst the sample companies, appear to have improved over the past two decades with an increasing number of companies using more sophisticated DCF techniques. A striking finding of the survey is that internal rate of return (IRR) is preferred over the net present value (NPV) method by most of the sample companies, in spite of the superiority of the NPV method. The theory–practice gap is a recurrent theme in the capital budgeting literature, in particular with regard to NPV. Despite the recommendations of the financial literature on using NPV as the primary technique, this research too found that respondent firms indicated a preference for IRR compared to NPV.

As far as the capital expenditure activity is concerned, the sample companies have made substantial investments in acquisition of new fixed assets. It is pertinent as well as satisfactory to note that paucity of funds is not an inhibiting factor in undertaking capital projects by the sample companies. While it is true that the postliberalisation period has witnessed a salubrious effect on their investment activity, the rate of investment in new fixed assets (measured on a year-to-year basis) has been impressive in that it has been at a rate of 18.06 % during the 11-year period (2001–2011) of the study. This is in contrast to the modest figure of less than 5 % recorded for the public sector enterprises (PSEs) over a 13-year period (1991–2003) in a separate study conducted by the authors (Jain and Yadav 2005). Above all, the global recession has not impacted, to a marked extent, the sample companies (representing vital segment of Indian economy).

As far as the financing pattern of long-term investment projects is concerned, it is satisfying to note that the sample companies are following sound policies in this regard – their fixed assets have been financed from long-term sources. Equally commendable is the aspect that their permanent working capital needs have also been financed through long-term sources of finance. This is in conformity with the sound principles of financial management.

Cost of capital constitutes an integral part of capital budgeting proposals. It is encouraging to note that the vast majority of the sample companies follow theoretically sound and conceptually correct basis of computing cost of capital, that is, weighted average cost of capital (WACC). More than two-thirds (67.85 %) of the firms have been following the appropriate WACC basis compared to other methods, suggesting a reduction in the theory–practice gap compared to the past studies. Also, consistent with finance theory, the survey reveals that the sample companies are risk-averse. Sensitivity analysis is the most popular approach used by these companies to incorporate risk in their capital budgeting decisions, followed by shorter payback period method and higher cut-off rate for more risky projects.

Another notable finding is the emergence of new techniques of real options and abandonment options as a part of practice by the sample companies, while evaluating capital budgeting proposals. This perhaps signals the adoption of emerging techniques by the sample companies, an encouraging indication of growing professionalism in their decision-making. Half of the respondent firms (50 %) used real options while evaluating their investment projects. The results are in sharp contrast with other international studies reporting low usages of the same.

Very high fixed-cost components of capital projects and the irregularities in prediction of future cash flows due to decrease in sales and increased competition seem to be the major factors leading to failures of capital budgeting decisions for the sample companies. This is perhaps a reflection of the growing challenges of a volatile global marketplace.

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Appendices

Appendices

Appendix 2.1: Impact of recent financial crisis on India

According to the remarks prepared for the International Monetary Fund (IMF)–Financial Stability Forum (FSF) high-level meeting, on the recent financial turmoil and policy responses for India, Reserve Bank of India (RBI, India’s central bank) in October 2008 stated that India had (at that time) not been seriously affected by the recent financial crisis. The reasons for the relative resilience shown by the Indian economy, the impact and likely implications have been summarised below (source: RBI website. http://rbidocs.rbi.org.in/rdocs/Speeches/PDFs/87784.pdf; Economic Surveys of India).

India has been following a rather calibrated approach to the opening up of the capital account and the financial sector. Evidence suggests that the greatest gains are obtained from the opening to foreign direct investment, followed by portfolio equity investment. The benefits emanating from external debt flows have been found to be more questionable until greater domestic financial market development has taken place.

Accordingly, while encouraging foreign investment flows (in particular, direct investment flows), a cautious approach has been adopted related to debt flows. Debt flows in the form of external commercial borrowings are subject to ceilings and some end-use restrictions, which are modulated from time to time, taking into account evolving macroeconomic and monetary conditions. Similarly, portfolio investment in government securities and corporate bonds are also subject to macro ceilings, which are also modulated from time to time.

These prudential policies have attempted to prevent excessive recourse to borrowings and dollarisation of the economy. As far as capital outflows are concerned, the policy framework has been progressively liberalised to enable the nonfinancial corporate sector to invest abroad and to acquire companies in the overseas market.

As a result of conservative/cautious policy of the Government related to financial capital inflows, investments have been predominantly financed by domestic savings in India – the current account deficit has averaged between 1 and 2% of GDP since the early 1990s. The Government’s fiscal deficit has been high by international standards but is also largely internally financed through a vibrant and well developed government securities market, and thus, despite large fiscal deficits, macroeconomic and financial stability has been maintained.

The financial sector, in particular banks, is subject to prudential regulations, both in regard to capital and liquidity (Mohan 2007). As the current global financial crisis has shown, liquidity risks could rise manifold during a crisis and can pose serious downside risks to macroeconomic and financial stability. The Reserve Bank of India has already put in place steps to mitigate liquidity risks at the very short end, risks at the systemic level as well as at the institutional level.

In addition to the exercise of normal prudential norms on the financial sector, RBI has also successively imposed additional prudential measures in respect of exposures to particular sectors, akin to a policy of dynamic provisioning. For example, in view of the accelerated exposure to the real estate sector, banks were advised to put in place a proper risk management system to contain the risks involved.

While the overall policy approach has been able to mitigate the potential impact of the turmoil on domestic financial markets and the economy, with the increasing integration of the Indian economy and its financial markets with the rest of the world, there is recognition that the country does face some downside risks from these international developments. The risks arise mainly from the potential reversal of capital flows on a sustained medium-term basis from the projected slowdown of the global economy, particularly in the advanced economies. As might be expected, the main impact of the global financial turmoil in India has emanated from the significant change experienced in the capital account. Total net capital flows fell from US$17.3 billion in April–June 2007 to US$13.2 billion in April–June 2008. Nonetheless, capital flows are expected to be more than sufficient to cover the current account deficit.

These characteristics of India’s external and financial sector management coupled with ample foreign exchange reserves (INR 15,790 billion as on 25 November 2011, up from INR 2,466.66 billion in December 2010) coverage and the growing underlying strength of the Indian economy reduce the susceptibility of the Indian economy to global turbulence (source: Reserve Bank of India website. http://www.rbi.org.in/scripts/WSSViewDetail.aspx?TYPE=Section&PARAM1=2. Accessed 4 December 2011).

However, the financial crisis in the advanced economies and the likely slowdown in these economies could have some impact on the IT sector. According to the latest assessment by the NASSCOM (the software trade association), the current developments with respect to the US financial markets are very eventful; these developments may have a direct impact on the IT industry and are likely to create a downstream impact on other sectors of the US economy and worldwide markets. About 15–18% of the business coming to Indian outsourcers includes projects from banking, insurance and the financial services sector which is now uncertain. (source: Reserve Bank of India website. http://rbidocs.rbi.org.in/rdocs/Speeches/PDFs/87784.pdf).

According to the Economic Survey of India of 2010–2011, the Indian economy has emerged with remarkable rapidity from the slowdown caused by the global financial crisis of 2007–2009. With the growth in 2009–2010 estimated at 8% by the Quick Estimates released on 31 January 2011 and 8.6% in 2010–2011 as per the Advance Estimates of the Central Statistics Office (CSO) released on 7 February 2011 the turnaround has been fast and strong. Much of the economic stress (if any) in the current year (2011) can be attributed to continued food inflation and a temporary slowdown in industrial growth (source: http://indiabudget.nic.in/. Accessed 17 November 2011).

Appendix 2.2: Mean, median and quartile values of percentage growth in gross fixed assets of constituent sectors of the sample companies over phase 1 (2001–2006) and phase 2 (2007–2011) (figures are in percentages)

Sector

Phase 1 (2001–2006)

Phase 2 (2007–2011)

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

Internet and communications technology (ICT)

25.50

24.55

9.63

33.38

40.91

39.51

24.78

51.02

Healthcare

23.22

20.14

12.29

30.38

29.51

29.63

21.52

36.74

Housing

18.43

12.43

4.60

27.13

29.42

23.76

13.39

39.67

Miscellaneousa

18.29

10.23

4.34

23.52

27.75

20.93

13.70

38.08

Metals

17.40

10.89

4.64

24.42

26.11

24.01

15.97

31.61

Capital goods

17.13

7.55

2.92

21.45

26.59

23.33

15.69

35.20

Transport

15.12

10.83

5.08

19.83

26.60

23.91

15.26

33.87

Oil and gas

14.14

8.18

4.41

12.63

23.88

21.10

12.32

28.90

Diversified

12.78

3.53

1.71

12.40

24.92

23.29

19.54

27.61

Fast moving consumer goods (FMCG)

12.50

7.61

3.49

17.32

21.94

21.87

13.22

29.07

Power

10.97

7.33

3.99

15.42

18.00

13.17

8.57

21.79

  1. aMiscellaneous sectors comprises of the media and publishing sector; agriculture, chemicals and petrochemicals; and tourism, textiles and miscellaneous sectors

Sector

Phase 1 and Phase 2

 

t

df

Significance (2-tailed)

ICT

−2.144

16

0.048

Housing

−1.696

14

0.112

Capital goods

−1.700

12

0.115

Transport

−1.601

15

0.130

Power

−1.426

10

0.184

Oil and gas

−1.332

13

0.206

Miscellaneous

−1.302

14

0.214

Healthcare

−1.038

13

0.318

FMCG

−0.886

11

0.395

Diversified

−0.357

8

0.731

Metals

−0.141

17

0.890

Appendix 2.3: Mean, median and quartile values of percentage growth in gross fixed assets of constituent sectors of the sample companies over phase 3 (2007–2008) and phase 4 (2009–2011) (figures are in percentages)

Sector

Phase 3 (2007–2008)

Phase 4 (2009–2011)

 

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

ICT

32.75

29.16

12.06

43.49

46.36

46.41

33.26

56.03

Housing

28.41

22.11

13.49

32.76

30.09

24.87

13.32

44.27

Miscellaneous

25.63

19.19

11.12

36.21

29.16

22.09

15.43

39.32

Capital goods

25.23

21.21

10.82

36.37

27.50

24.74

18.93

34.43

Transport

20.36

17.32

10.61

24.01

30.76

28.30

18.36

40.45

Healthcare

20.19

19.08

11.30

27.76

35.71

36.67

28.34

42.72

FMCG

16.09

11.44

6.26

16.59

25.84

28.82

17.86

37.40

Metals

15.31

10.96

3.27

19.98

33.30

32.71

24.43

39.37

Oil and gas

14.34

6.79

4.90

13.80

30.24

30.63

17.27

38.96

Power

12.20

4.68

2.94

15.02

21.87

18.83

12.33

26.29

Diversified

9.70

8.56

5.51

12.71

35.07

33.10

28.89

37.54

Sector

Phase 3 and Phase 4

 

t

df

Significance (2-tailed)

Metals

−2.257

17

0.037

Diversified

−1.743

7

0.125

Healthcare

−1.324

13

0.208

Oil and gas

−1.28

13

0.223

Power

−1.272

10

0.232

Capital goods

0.919

12

0.376

Transport

−0.806

16

0.432

Miscellaneous

0.321

15

0.753

ICT

0.259

16

0.799

Housing

0.132

12

0.897

FMCG

−0.044

11

0.966

Appendix 2.4: ANOVA of the consolidated sample and the constituent sectors of the sample companies based on growth in gross fixed assets over phase 1 (2001–2006) and phase 2 (2007–2011) and phase 3 (2007–2008) and phase 4 (2009–2011)

Sector

Phase 1 and Phase 2

Phase 3 and Phase 4

 

F

Significance

F

Significance

Consolidated

3.364

0.000

3.684

0.000

Housing

4.714

0.038

0.093

0.762

ICT

3.137

0.086

0.077

0.783

Transport

2.769

0.106

1.059

0.311

Capital goods

1.281

0.269

 .363

0.553

Power

1.135

0.298

0.000

0.998

Miscellaneous

0.932

0.342

0.086

0.772

FMCG

0.581

0.454

0.001

0.971

Oil and gas

0.436

0.515

0.785

0.383

Healthcare

0.391

0.537

1.518

0.229

Diversified

0.175

0.681

4.068

0.062

Metals

0.015

0.903

2.594

0.117

Appendix 2.5: Mean, median and quartile values of fixed assets (net) to permanent capital employed of constituent sectors of the sample companies over phase 1 (2001–2006) and phase 2 (2007–2011) (figures are in percentages)

Sector

Phase 1 (2001–2006)

Phase 2 (2007–2011)

 

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

Transport

56.60

57.50

44.20

72.80

44.20

46.80

32.90

53.90

Miscellaneous

50.90

49.60

35.90

70.40

44.00

44.60

32.60

55.20

Oil and gas

49.20

49.90

37.20

69.70

38.50

29.80

12.70

65.00

Metals

47.60

48.10

33.90

61.80

39.10

33.33

22.00

53.70

Housing

46.50

45.60

27.50

65.00

35.90

36.30

7.80

59.60

Healthcare

42.50

41.20

30.00

55.40

28.10

26.60

16.00

39.90

Power

41.50

46.90

30.90

53.20

27.60

25.50

11.60

40.30

FMCG

36.20

35.10

 5.92

49.20

40.40

44.30

6.14

58.70

ICT

35.30

32.80

20.60

45.70

35.30

31.50

17.40

46.70

Diversified

35.00

43.50

31.00

61.50

23.90

21.10

4.20

35.60

Capital goods

31.00

28.39

21.08

37.10

29.22

22.18

10.90

38.35

Sector

Phase 1 and Phase 2

 

t

df

Significance (2-tailed)

Healthcare

4.412

13

0.001

Transport

3.500

16

0.003

Housing

3.369

16

0.004

Diversified

2.584

8

0.032

Oil and gas

2.235

14

0.042

Miscellaneous

1.850

15

0.084

Metals

1.679

17

0.111

Power

1.071

10

0.310

ICT

−0.281

17

0.782

Capital goods

0.162

12

0.874

FMCG

−0.142

11

0.889

Appendix 2.6: Mean, median and quartile values of fixed assets (net) to permanent capital employed of constituent sectors of the sample companies over phase 3 (2007–2008) and phase 4 (2009–2011) (figures are in percentages)

Sector

Phase 3 (2007–2008)

Phase 4 (2009–2011)

 

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

Transport

48.20

49.50

39.90

57.80

41.50

45.10

28.20

51.30

Miscellaneous

44.90

46.30

36.10

54.30

43.40

43.50

30.30

55.80

Metals

41.80

35.00

24.70

55.70

37.20

32.10

20.20

52.40

Oil and gas

40.60

30.40

18.80

70.10

37.10

29.40

8.70

61.60

FMCG

39.90

47.10

5.83

55.60

40.70

42.30

6.34

60.80

ICT

36.50

32.70

19.90

43.20

34.50

30.70

15.80

49.10

Housing

35.60

36.40

8.00

60.00

36.20

36.30

7.70

59.40

Capital goods

31.20

23.90

12.30

43.20

27.90

21.00

10.00

35.10

Healthcare

30.90

27.40

19.20

43.20

26.20

26.00

13.80

37.70

Power

26.50

28.60

15.30

36.50

28.30

23.50

9.20

42.90

Diversified

25.70

23.20

4.90

38.30

22.60

19.70

3.70

33.70

Sector

Phase 3 and Phase 4

 

t

df

Significance (2-tailed)

Healthcare

2.362

13

0.034

Diversified

2.085

8

0.071

Transport

1.732

15

0.104

Metals

1.304

17

0.210

ICT

0.937

17

0.362

Capital goods

0.632

12

0.539

Oil and gas

0.541

15

0.596

FMCG

0.479

11

0.641

Power

−0.394

11

0.701

Housing

0.315

17

0.756

Miscellaneous

0.202

14

0.843

Appendix 2.7: ANOVA of the consolidated sample and the constituent sectors of the sample companies based on fixed assets to permanent capital employed over phase 1 (2001–2006) and phase 2 (2007–2011) and phase 3 (2007–2008) and phase 4 (2009–2011)

Sector

Phase 1 and Phase 2

Phase 3 and Phase 4

 

F

Significance

F

Significance

Consolidated

2.743

0.003

2.285

0.013

Healthcare

6.343

0.018

0.567

0.458

Transport

4.483

0.042

1.089

0.304

Metals

1.621

0.212

0.129

0.721

Miscellaneous

1.087

0.306

0.189

0.667

Housing

1.065

0.310

0.014

0.908

Oil and gas

1.036

0.317

0.082

0.777

Diversified

0.675

0.423

0.070

0.794

Power

0.206

0.654

0.532

0.473

ICT

0.036

0.851

0.094

0.762

Capital goods

0.022

0.885

0.102

0.752

FMCG

0.011

0.919

0.066

0.800

Appendix 2.8: Mean, median and quartile values of fixed assets (net) + net working capital to permanent capital employed of constituent sectors of the sample companies over phase 1 (2001–2006) and phase 2 (2007–2011) (figures are in percentages)

Sector

Phase 1 (2001–2006)

Phase 2 (2007–2011)

 

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

Capital goods

71.20

78.50

58.60

87.80

72.70

80.10

64.80

92.60

Housing

70.80

77.90

54.60

87.10

68.40

70.30

59.10

84.40

Miscellaneous

70.60

73.50

61.30

84.40

66.80

70.50

49.10

83.30

Transport

67.30

67.80

51.50

85.90

62.50

63.20

50.90

81.20

Healthcare

66.90

68.80

49.50

84.30

64.40

69.60

48.00

85.20

ICT

66.60

66.60

35.30

78.30

58.80

62.30

45.40

75.90

Oil and gas

62.40

67.80

42.30

84.20

62.70

72.90

46.80

85.70

Metals

59.40

59.60

44.00

80.30

57.20

56.70

42.70

71.70

Diversified

55.40

59.00

40.40

80.00

43.50

41.00

29.50

51.80

Power

46.80

49.00

36.50

61.10

46.50

48.20

35.30

54.50

FMCG

40.00

35.20

16.60

60.70

45.30

47.50

18.30

68.20

Sector

Phase 1 and Phase 2

 

t

df

Significance (2-tailed)

Diversified

2.153

8

0.063

Housing

−1.348

16

0.197

ICT

0.916

15

0.374

Oil and gas

−0.751

13

0.466

Miscellaneous

0.711

13

0.490

FMCG

−0.450

11

0.662

Capital goods

−0.349

12

0.733

Metals

−0.251

14

0.805

Transport

0.215

15

0.833

Power

−0.201

10

0.845

Healthcare

−0.168

12

0.869

Appendix 2.9: Mean, median and quartile values of fixed assets (net) + net working capital to permanent capital employed of constituent sectors of the sample companies over phase 3 (2007–2008) and phase 4 (2009–2011) (figures are in percentages)

Sector

Phase 3 (2007–2008)

Phase 4 (2009–2011)

 

Mean

Median

Quartile 1

Quartile 3

Mean

Median

Quartile 1

Quartile 3

Capital goods

74.30

81.60

69.90

91.30

71.60

79.10

61.50

93.60

Miscellaneous

69.30

68.50

54.30

82.00

65.20

71.90

45.60

84.10

Oil and gas

67.70

80.90

53.80

93.00

59.40

67.60

42.10

80.90

Transport

66.80

69.90

54.90

82.80

59.60

58.70

48.30

80.20

Housing

65.00

67.30

55.10

80.20

70.80

72.40

61.80

87.20

Healthcare

60.70

67.40

38.20

87.30

67.00

71.20

54.60

83.80

ICT

59.90

63.60

40.20

81.80

58.10

61.40

48.90

72.00

Metals

59.10

59.90

46.10

71.40

55.90

54.60

40.50

71.80

Power

44.00

45.70

32.80

50.60

48.30

49.90

37.00

57.00

Diversified

36.50

40.50

24.40

44.30

48.10

41.30

32.90

56.80

FMCG

35.80

33.60

7.60

60.50

51.60

56.70

25.40

73.40

Sector

Phase 3 and Phase 4

 

t

df

Significance (2-tailed)

Transport

2.177

13

0.049

FMCG

−1.796

9

0.106

Oil and gas

1.687

11

0.12

Metals

1.088

13

0.296

Miscellaneous

0.863

12

0.405

Healthcare

−0.829

11

0.425

Diversified

−0.686

7

0.515

Capital goods

0.672

10

0.517

Power

−0.598

7

0.568

ICT

0.582

12

0.571

Housing

−0.567

14

0.579

Appendix 2.10: ANOVA of the consolidated sample and the constituent sectors of the sample companies based on fixed assets and net working capital to permanent capital employed over phase 1 (2001–2006) and phase 2 (2007–2011) and phase 3 (2007–2008) and phase 4 (2009–2011)

Sector

Phase 1 and Phase 2

Phase 3 and Phase 4

 

F

Significance

F

Significance

Consolidated

1.304

0.227

4.669

0.000

Diversified

1.544

0.232

0.811

0.382

Capital goods

0.899

0.353

2.691

0.115

ICT

0.857

0.361

0.017

0.897

Housing

0.657

0.423

0.391

0.536

Metals

0.268

0.608

0.357

0.555

Oil and gas

0.219

0.644

1.053

0.315

FMCG

0.109

0.744

1.900

0.183

Miscellaneous

0.067

0.797

0.001

0.982

Transport

0.031

0.860

0.854

0.363

Power

0.018

0.894

0.060

0.809

Healthcare

0.011

0.916

0.564

0.460

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Jain, P.K., Singh, S., Yadav, S.S. (2013). Capital Budgeting Decisions. In: Financial Management Practices. India Studies in Business and Economics. Springer, India. https://doi.org/10.1007/978-81-322-0990-4_2

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