Public-private partnerships (PPPs) in infrastructure provision have expanded around the world since the early 1990s. Well-structured PPPs can unleash efficiency gains, but PPPs create liabilities for governments, including contingent ones. This paper assesses the fiscal risks from contingent liabili...

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1. Verfasser:	Herrera Dappe, Matias (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C The World Bank 2022
Schlagworte:	Baseline Hazard Function Econometric Estimation Economic Adjustment and Lending Energy Information and Communication Technologies Information Technology Japan International Cooperation Agency Macroeconomics and Economic Growth Ordinary Least Squares Regression Per Capita Growth Rate Private Participation in Infrastructure Private Sector Economics
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Zusammenfassung:	Public-private partnerships (PPPs) in infrastructure provision have expanded around the world since the early 1990s. Well-structured PPPs can unleash efficiency gains, but PPPs create liabilities for governments, including contingent ones. This paper assesses the fiscal risks from contingent liabilities from early termination of PPPs in a sample of developing countries. It analyzes the drivers of early termination and identifies systematic contractual, institutional, and macroeconomic factors that can help predict the probability that a PPP project will be terminated early, using a flexible parametric hazard regression. Using the probability distributions from the regression analysis, it simulates scenarios of fiscal risks for governments from early termination of PPPs in the electricity and transport sectors, adopting a value-at-risk approach. The findings indicate that the rate of early terminations decreases with direct government support, greater constraints on executive power, and the award of the PPP by subnational governments; it increases with project size and macro-financial shocks. The simulations show that fiscal risks from infrastructure PPP portfolios are not negligible in some countries, reaching as high as 2.8 percent of GDP. A severe macro-financial shock substantially increases the estimates, with the value at risk the year after the shock 11-20 times larger
Beschreibung:	1 Online-Ressource (46 Seiten)
DOI:	10.1596/1813-9450-9972