Hidden Debt

Page 135

SOUT H A SI A ’ S ST A TE - OWNED ENTER P RISES

FIGURE 3.8  Share of Persistently Distressed Firms in India, 1991–2017 60 50

Percent

40 30 20 10 0 1991

1993

1995

1997

1999

2001

2003 CPSEs

2005

2007

2009

2011

2013

2015

2017

Non-SOEs

Source: Melecky, Sharma, and Yang 2020. Note: The excess distress rate is the gap in distress incidence between CPSEs and non-SOEs. The figure shows the percent of firms with an interest coverage ratio (ICR) of less than 1 in three consecutive previous years. CPSEs = central public sector enterprises; SOEs = state-owned enterprises.

The “raw” excess distress rate in CPSE— that is, without adjusting for size and other attributes—is 14.5 percentage points ­(column 1). This estimate is roughly consistent with figure 3.7. Adding the size control makes a difference, with the CPSE gap in distress incidence rising to 20.7 percentage points. Larger firms tend to have lower distress rates, and hence the CPSE gap becomes larger once we adjust for the fact that CPSEs are larger than the average non-SOEs. While this result does not imply a causal relationship between ownership and distress, it suggests that the higher vulnerability of CPSEs can be explained only by factors other than size, age, and sector. Next, we interact the CPSE indicator with broad sector dummies to examine whether the excess distress rate of CPSEs is higher in particular sectors (column 4). We find that relative to CPSEs in transport and services (the omitted sector dummy), those in the manufacturing sector are more prone to excess distress, while those in the petroleum industry are less prone. The patterns shown in table 3B.2 hold true even when we use more persistent distress measures (such as ICR being less than 1 in two or three consecutive years). For

example, controlling for size, age, and sector, CPSEs are 21 percentage points more likely to be in distress in two consecutive years ­(column 5).

The Likely Magnitude of Contingent (Potential) Liabilities from SOEs Must Be Established The total liabilities of SOEs are quite large. As shown in figure 3.9, the total liabilities of SOEs in Sri Lanka exceeded 10 percent of GDP and were 20 percent of GDP for SOEs in Pakistan and CPSEs in India in 2017. While the total liabilities of Indian SPSEs are not available for recent years, their total debt (a component of total liabilities) amounted to 4 percent of GDP in 2017. If we assume that their ratio of debt to total liabilities is the same as that of Indian CPSEs, then their total liabilities amount to 8 percent of GDP. The total SOE liabilities in Bangladesh are about 6 percent of GDP, reflecting the smaller size of its SOE sector. Government guarantees on SOE loans have turned a portion of these liabilities into an explicit contingent liability of South Asian governments. For example, in 2017, the stock of SOE debt with a government guarantee

109


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Notes

3min
page 192

Annex 4B. The Kalman Filter

3min
page 189

4.1 Recommendations for Improving Fiscal Reporting and Transparency in Pakistan

6min
pages 186-187

following Contingent Liability Shocks

3min
page 179

Debt, India

2min
page 175

Estimating Contingent Liability Shocks, Adjustment Costs, and Mitigating Factors Using Data for India

6min
pages 171-172

Assembly Elections

2min
page 180

Outcomes in South Asia

5min
pages 184-185

The Promise and Risks of Fiscal Decentralization in South Asia

1min
page 159

Notes

2min
page 154

Annex 3C. Productivity Estimation

3min
page 153

Only a Combination of Internal and External Policy Reforms Can Help Better Manage Contingent Liabilities from SOEs in South Asia

9min
pages 143-145

3.8 Share of Persistently Distressed Firms in India, 1991–2017

2min
page 135

Describing the Opaque and Complex SOE Sector in South Asia Using Data

6min
pages 129-130

Pakistan, and Sri Lanka, 2005–17

12min
pages 138-141

The Importance of Paying More Attention to the Hidden Liabilities of SOEs in South Asia

11min
pages 125-128

Annex 2A. Methodology for Determining Bank Distress

6min
pages 107-108

2.1 Main Findings of the Overall Analysis

3min
page 102

Analyzing the Effect of Firms’ Banking with SOCBs Compared with Private Banks

3min
page 101

Private Banks Adjust in Times of Distress

8min
pages 98-100

Commercial Banks, 2009–18

2min
page 93

Understanding Bank Distress and Its Main Factors

3min
page 92

2.3 India: Branch Networks and Total Credit, 2018

5min
pages 87-88

The Upsides and Downsides of State-Owned Commercial Banks

4min
pages 83-84

Annex 1D. Imputing the Missing Values for Predictions

2min
page 75

Improving Government Capacity, Due Diligence, and Contract Design to Better Manage the Fiscal Risks of the Growing PPP Programs in South Asia

2min
page 70

in India, 2001–17

2min
page 57

South Asia, by Country, 1990–2018

2min
page 63

1.5 Distribution of the Percentage of Contract Period Elapsed, 1990–2018

5min
pages 58-59

Features of Contract Design That Matter: Exploring the Link between PPP Contract Design and Early Terminations of Highway PPPs in India

3min
page 68

Government from Contingent Liabilities of Public-Private Partnerships

3min
page 64

Portfolio in South Asia, as a Percentage of GDP, 2020–24

2min
page 65

ES.1 Applying the Purpose, Incentives, Transparency, and Accountability (PITA) Recommendations in Fragile and Conflict-Affected Contexts ...................xvi 1.1 The Hidden Debt of National Highways in India

3min
page 53

O.2 Analytical Framework: Links from Distress to Adjustments to Impacts

9min
pages 32-34

The Need to Carefully Manage the Fiscal and Economic Risks of PPPs

5min
pages 49-50

Balancing the Efficiency Gains from PPPs against Their Risks and Liabilities Booming Infrastructure PPPs, Their Country and Sector Distribution, and Signs

6min
pages 51-52

Policy Recommendations

8min
pages 43-45

O.1 Implementing the High-Level Policy Recommendations for Public-Private Partnerships, State-Owned Commercial Banks, State-Owned Enterprises, and Subnational Governments

4min
page 46

O.9 Checks and Balances on Government Executives Help Prevent Distress of Public-Private Partnerships

2min
page 42

Notes

3min
page 47

Analytical Framework

2min
page 31
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