A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data
Quantifying the economic impacts of extreme climate scenarios on agriculture at a country level is important, informing the formulation of tailored adaptation policies and sustainable livelihoods. This study examined the current and potential economic impacts of climate change on Malawi's agricultur...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2024
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| Acceso en línea: | https://hdl.handle.net/10568/173681 |
| _version_ | 1855523016870461440 |
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| author | Mulagha Maganga, Assa Chiwaula, Levison S Kambewa, Patrick Ngaiwi, Mary Eyeniyeh |
| author_browse | Chiwaula, Levison S Kambewa, Patrick Mulagha Maganga, Assa Ngaiwi, Mary Eyeniyeh |
| author_facet | Mulagha Maganga, Assa Chiwaula, Levison S Kambewa, Patrick Ngaiwi, Mary Eyeniyeh |
| author_sort | Mulagha Maganga, Assa |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Quantifying the economic impacts of extreme climate scenarios on agriculture at a country level is important, informing the formulation of tailored adaptation policies and sustainable livelihoods. This study examined the current and potential economic impacts of climate change on Malawi's agriculture using Ricardian analysis based on a four-year World Bank's Living Standards Measurement Survey (LSMS) panel data from 1,246 farming households. The marginal impact analysis was conducted for temperature and rainfall. The study then predicted the impact of climate scenarios on net revenue up to the year 2099. The results revealed that more warming will negatively affect agriculture returns on the one hand, while more precipitation will generate gains on the other hand. An ensemble of Global Circulation Models' simulation affirms that impacts from global warming will be more important than those from precipitation change. The impacts are non-neutral to production efficiency with technically efficient farmers having moderate impacts in magnitude relative to inefficient farmers. With strategic climate adaptation choices, results show the potential to abate some of the damages and enhance positive gains from future climate change. |
| format | Journal Article |
| id | CGSpace173681 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1736812025-11-11T18:46:56Z A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data Mulagha Maganga, Assa Chiwaula, Levison S Kambewa, Patrick Ngaiwi, Mary Eyeniyeh agriculture adaptation agricultural productivity impact Quantifying the economic impacts of extreme climate scenarios on agriculture at a country level is important, informing the formulation of tailored adaptation policies and sustainable livelihoods. This study examined the current and potential economic impacts of climate change on Malawi's agriculture using Ricardian analysis based on a four-year World Bank's Living Standards Measurement Survey (LSMS) panel data from 1,246 farming households. The marginal impact analysis was conducted for temperature and rainfall. The study then predicted the impact of climate scenarios on net revenue up to the year 2099. The results revealed that more warming will negatively affect agriculture returns on the one hand, while more precipitation will generate gains on the other hand. An ensemble of Global Circulation Models' simulation affirms that impacts from global warming will be more important than those from precipitation change. The impacts are non-neutral to production efficiency with technically efficient farmers having moderate impacts in magnitude relative to inefficient farmers. With strategic climate adaptation choices, results show the potential to abate some of the damages and enhance positive gains from future climate change. 2024-03 2025-03-18T08:27:15Z 2025-03-18T08:27:15Z Journal Article https://hdl.handle.net/10568/173681 en Open Access application/pdf Elsevier Mulagha Maganga, A.; Chiwaula, L.S.; Kambewa, P.; Ngaiwi, M.E. (2024) A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data. Journal of Agriculture and Food Research 15: 100995. ISSN: 2666-1543 |
| spellingShingle | agriculture adaptation agricultural productivity impact Mulagha Maganga, Assa Chiwaula, Levison S Kambewa, Patrick Ngaiwi, Mary Eyeniyeh A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title | A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title_full | A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title_fullStr | A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title_full_unstemmed | A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title_short | A Ricardian analysis of the economic impacts of climate change on agricultural production in the low-income agrarian economy: Estimates from Malawi's 2010–2019 LSMS longitudinal data |
| title_sort | ricardian analysis of the economic impacts of climate change on agricultural production in the low income agrarian economy estimates from malawi s 2010 2019 lsms longitudinal data |
| topic | agriculture adaptation agricultural productivity impact |
| url | https://hdl.handle.net/10568/173681 |
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