2023
DOI: 10.5089/9798400229428.001
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Why Some Don’t Belong—The Distributional Effects of Natural Disasters

Abstract: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

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Cited by 4 publications
(1 citation statement)
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“…In addition, the results are consistent with the empirical evidence showcasing the heterogeneous impacts of weather-related events, underscoring the importance of tailored adaptation measures to address climate risks that vary across regions and within communities. In the short term, Budina et al (2023) list some risk mitigation policies for natural disasters, such as risk insurance, contingency financing, enhancing social safety nets, and credit lines. While mitigating policies aimed at reducing GHG emissions and transitioning to greener economies are one policy option, for implementing effective adaptative measures it is important to examine and understand how extreme climate shocks affect the livelihoods -well-being, and resources-of the affected population (Albert et al 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the results are consistent with the empirical evidence showcasing the heterogeneous impacts of weather-related events, underscoring the importance of tailored adaptation measures to address climate risks that vary across regions and within communities. In the short term, Budina et al (2023) list some risk mitigation policies for natural disasters, such as risk insurance, contingency financing, enhancing social safety nets, and credit lines. While mitigating policies aimed at reducing GHG emissions and transitioning to greener economies are one policy option, for implementing effective adaptative measures it is important to examine and understand how extreme climate shocks affect the livelihoods -well-being, and resources-of the affected population (Albert et al 2021).…”
Section: Discussionmentioning
confidence: 99%