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Ms. Era Dabla-Norris, Mr. James Daniel, Mr. Masahiro Nozaki, Cristian Alonso, Vybhavi Balasundharam, Mr. Matthieu Bellon, Chuling Chen, David Corvino, and Mr. Joey Kilpatrick
Climate change is one of the greatest challenges facing policymakers worldwide, and the stakes are particularly high for Asia and the Pacific. This paper analyzes how fiscal policy can address challenges from climate change in Asia and the Pacific. It aims to answer how policymakers can best promote mitigation, adaptation, and the transition to a low-carbon economy, emphasizing the economic and social implications of reforms, potential policy trade-offs, and country circumstances. The recommendations are grounded in quantitative analysis using country-specific estimates, and granular household, industry, and firm-level data.
Ms. Gabriela Inchauste
This paper aims to inform on the status of Poverty and Social Impact Analysis (PSIA) in IMF-supported programs, detailing the results presented in the recent review of PRGF-supported programs. The review showed that more needs to be done, both in undertaking PSIA when necessary, and in reporting the policy tradeoffs in program documents. Policy design should be continuously informed by the results of PSIA.
Mrs. Kerstin Gerling
Weather-related natural disasters and climate change pose interrelated macro-fiscal challenges. Using panel-VARX studies for a sample of 19 countries in Developing Asia during 1970 to 2015, this paper contributes new empirical evidence on the dynamic adjustment path of growth and key fiscal variables after severe weather-related disasters. It does not only show that output loss can be permanent, but even twice as large for cases of severe casualties or material damages than people affected. Meanwhile, key fiscal aggregates remain surprisingly stable. Event and case studies suggest that this can reflect both a deliberate policy choice or binding constraints. The latter can make governments respond through mitigating fiscal policy efforts such as ad hoc fiscal rebalancing and reprioritization. The findings help better customize disaster preparedness and mitigation efforts to countries’ risk exposure along a particular loss dimension.