Hidden Debt

Page 179

What Are the Economic Costs of Adjustments to Contingent Liability Shocks? Do debt shocks at the subnational level affect local investments and dampen local economic development? Such negative spillovers could occur for various reasons. For one, debt shocks can reduce public capital ­expenditure—​ as we have shown. This reduction, in turn, decreases public capital formation as well as private investment that relies on the execution of public investment (such as connective infrastructure) and that is typically “crowded in” by public investment. In addition, contingent liability shocks can dampen local investments indirectly—for instance, by raising the tax burden, and thus discouraging private capital formation, or by reducing the viability of investment projects, firm creditworthiness, and local lending by banks. For this reason, this section investigates the costs of subnational contingent liability shocks for the local

153

economy. It does so by reestimating the previous difference-in-difference specification using gross fixed capital formation (GFCF) (in logs) in a given state and year as the outcome variable. Figure 4.14 reports the results by plotting the estimated treatment effect estimated for five years before and after the occurrence of contingent liability shock. GFCF in the state falls significantly in the year of a contingent liability shock, continues to decline in the year after, and remains significantly below the trend for three years after the event. Then, it gradually returns to the trend. Reassuringly, the figure does not a identify significantly diverging trends between affected and unaffected states before the shock, suggesting that the observed divergence in trends is indeed driven by the contingent liability shock. To quantify the impacts highlighted in ­figure 4.14, the coefficient estimates in table 4C.3, column 1, in annex 4C, confirm that GFCF falls significantly below its trend following a contingent liability shock. The capital formation experiences a maximum FIGURE 4.14  Decreases in Indian Subnational Governments’ Gross Fixed Capital Formation following Contingent Liability Shocks 0.4 Percentage difference between treatment and control

population, income, and the gap between the state’s income and that of the state with the highest income. These factors, and the weights assigned to them, vary among Finance Commissions. Our estimates suggest that central government support through grants is not affected by the shock. By contrast, tax devolution received from the central government increases by 10 percent in the year after a contingent liability shock. Why does tax devolution respond but grants do not? This remains somewhat a puzzle. One possible explanation is that grants are fixed in nominal terms by the Finance Commission and are often earmarked and committed to specific projects. Therefore, they provide a limited leeway for responses. By contrast, the central government allegedly enjoys flexibility in the timing of the payout of tax devolution. This flexibility provides a mechanism to counter fiscal shocks at the subnational level. Taken together, the evidence is consistent with an interpretation that states enjoy rather soft budget constraints that partially buffer the impact of realizations of contingent liabilities.

S u b n a t i o n a l G o v e r n m e n t s i n S o u t h As i a

0.2 0 −0.2 −0.4 −0.6 −5

−4

−3

−2

−1

0

1

2

3

4

5

Years relative to distress event Source: Blum and Yoong 2020. Note: The figure plots the coefficient estimates βs of the following regression: 5

Log ( GFCF )it = α 0 + ∑β s CLit + s + γ j + µt + ε it . s =−5

Each coefficient measures the relative value of gross fixed capital formation (GFCF, in logs) s years before and after a contingent liability shock, compared to states with no such shock. The x-axis plots the time relative to the shock. The y-axis plots the values for the corresponding βs.


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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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