Josué, ANDRIANADY (2024): Natural Disaster Modeling with the DSGE DIGNAD Framework: A Study of Madagascar.
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Abstract
This study utilizes the DSGE model DIGNAD to assess the economic impacts of natural disasters on Madagascar. Four distinct scenarios are analyzed: the first scenario (zero scenario) simulates the effects of a natural shock occurring in 2027. The second scenario evaluates the impact of investing 1% of GDP in resilient infrastructure over a 5-year period preceding the shock. The third scenario examines the outcomes of a similar 1% GDP investment in standard, non-resilient infrastructurebefore the shock. The fourth scenario considers the implications of a 2% GDP investment in resilient infrastructure aimed at enhancing the country’s relatively low GDP, currently at around 31%. The findings reveal a projected contraction of approximately 6% in GDP growth in the event of the shock. Investing in resilient infrastructure significantly mitigates the decline in growth, reducing it by about 2% of GDP. Despite this benefit, the substantial financial requirements for such infrastructure present a considerable challenge for Madagascar.
Item Type: | MPRA Paper |
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Original Title: | Natural Disaster Modeling with the DSGE DIGNAD Framework: A Study of Madagascar |
English Title: | Natural Disaster Modeling with the DSGE DIGNAD Framework: A Study of Madagascar |
Language: | English |
Keywords: | DSGE model, DIGNAD, natural disasters, economic impact, resilient infrastructure, Madagascar, GDP growth, investment scenarios. |
Subjects: | A - General Economics and Teaching > A1 - General Economics A - General Economics and Teaching > A1 - General Economics > A10 - General E - Macroeconomics and Monetary Economics > E0 - General Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q50 - General |
Item ID: | 121646 |
Depositing User: | Mr Josué Ravahiny ANDRIANADY |
Date Deposited: | 09 Aug 2024 10:39 |
Last Modified: | 09 Aug 2024 10:39 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/121646 |