Economics of natural disasters: a machine generated literature overview
Material type: TextPublication details: Springer Singapore 2024Description: xx, 522 pISBN:- 9789819974290
- 363.34 GOE
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | Public Policy & General Management | 363.34 GOE (Browse shelf(Opens below)) | 1 | Available | 007106 |
This book is a machine-generated literature overview that explores the theoretical and empirical aspects of economics of natural disasters such as floods, cyclones, droughts, and earthquakes from a policy perspective. It provides a comprehensive collection of economic theories in Disasters and empirical findings that would benefit scholars in academia and policy-making. On the theory side, there is a growing use of game theory, Input-Output, computable general equilibrium models, and Catastrophe models to analyze the economic impacts of natural disasters. These models provide optimal decisions for the government concerning disaster relief. On the empirical front, studies showing causal and associative relationships between disasters and socio-economic variables are important for estimating disaster-related losses and making appropriate policy suggestions.
The book explores different critical aspects and interlinkages of natural disasters; economic, social, and political. Besides having localized effects, disasters influence macroeconomic parameters, such as impacts on international trade and foreign direct investment. Moreover, the effects of disasters are subject to interventions from various national and international agencies. It discusses fiscal pressures caused due to disasters and existing policies related to disaster-risk mitigation and management as a guide to policy-making. It is an important guide to researchers and policymakers examining the socio-economic impact of natural disasters and public investment for disaster-risk mitigation.
(https://link.springer.com/book/10.1007/978-981-99-7430-6)
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