A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh
Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy‐wide model of Bangladesh, damages from historical climate variability and future anthropogenic climate change are estimated and decomposed. The stochastic simulation approach used avoid...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2012
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/153167 |
| _version_ | 1855515961174523904 |
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| author | Thurlow, James Dorosh, Paul A. Yu, Winston |
| author_browse | Dorosh, Paul A. Thurlow, James Yu, Winston |
| author_facet | Thurlow, James Dorosh, Paul A. Yu, Winston |
| author_sort | Thurlow, James |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy‐wide model of Bangladesh, damages from historical climate variability and future anthropogenic climate change are estimated and decomposed. The stochastic simulation approach used avoids biases caused by non‐linear damage functions and fixed occurrences of extreme events in historical data. Using 10 climate projections, it is found that future anthropogenic climate change damages until 2050 are, on average, one‐fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladesh's long run shift (adaptation) into dry (winter) season rice production. |
| format | Journal Article |
| id | CGSpace153167 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1531672025-02-19T13:42:02Z A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh Thurlow, James Dorosh, Paul A. Yu, Winston climate change developing countries economic development stochastic economic impact Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy‐wide model of Bangladesh, damages from historical climate variability and future anthropogenic climate change are estimated and decomposed. The stochastic simulation approach used avoids biases caused by non‐linear damage functions and fixed occurrences of extreme events in historical data. Using 10 climate projections, it is found that future anthropogenic climate change damages until 2050 are, on average, one‐fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladesh's long run shift (adaptation) into dry (winter) season rice production. 2012-08 2024-10-01T13:55:44Z 2024-10-01T13:55:44Z Journal Article https://hdl.handle.net/10568/153167 en Limited Access Wiley Thurlow, James; Dorosh, Paul A.; Yu, Winston 2012. A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh. Review of Development Economics 16(3): 412-428 |
| spellingShingle | climate change developing countries economic development stochastic economic impact Thurlow, James Dorosh, Paul A. Yu, Winston A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title | A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title_full | A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title_fullStr | A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title_full_unstemmed | A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title_short | A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh |
| title_sort | stochastic simulation approach to estimating the economic impacts of climate change in bangladesh |
| topic | climate change developing countries economic development stochastic economic impact |
| url | https://hdl.handle.net/10568/153167 |
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