Modeling technical change in climate analysis: evidence from agricultural crop damages
This study accounts for the Hicks neutral technical change in a calibrated model of climate analysis, to identify the optimum level of technical change for addressing climate changes. It demonstrates the reduction to crop damages, the costs to technical change, and the net gains for the adoption of...
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2017
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my.utm.761552018-05-30T04:24:58Z http://eprints.utm.my/id/eprint/76155/ Modeling technical change in climate analysis: evidence from agricultural crop damages Ahmed, A. Devadason, E. S. Al Amin, A. Q. HF Commerce This study accounts for the Hicks neutral technical change in a calibrated model of climate analysis, to identify the optimum level of technical change for addressing climate changes. It demonstrates the reduction to crop damages, the costs to technical change, and the net gains for the adoption of technical change for a climate-sensitive Pakistan economy. The calibrated model assesses the net gains of technical change for the overall economy and at the agriculture-specific level. The study finds that the gains of technical change are overwhelmingly higher than the costs across the agriculture subsectors. The gains and costs following technical change differ substantially for different crops. More importantly, the study finds a cost-effective optimal level of technical change that potentially reduces crop damages to a minimum possible level. The study therefore contends that the climate policy for Pakistan should consider the role of technical change in addressing climate impacts on the agriculture sector. Springer Verlag 2017 Article PeerReviewed Ahmed, A. and Devadason, E. S. and Al Amin, A. Q. (2017) Modeling technical change in climate analysis: evidence from agricultural crop damages. Environmental Science and Pollution Research, 24 (13). pp. 12347-12359. ISSN 0944-1344 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016396809&doi=10.1007%2fs11356-017-8747-5&partnerID=40&md5=03593f5f06d5a3a9998527d8fa2f6ebc |
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HF Commerce Ahmed, A. Devadason, E. S. Al Amin, A. Q. Modeling technical change in climate analysis: evidence from agricultural crop damages |
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This study accounts for the Hicks neutral technical change in a calibrated model of climate analysis, to identify the optimum level of technical change for addressing climate changes. It demonstrates the reduction to crop damages, the costs to technical change, and the net gains for the adoption of technical change for a climate-sensitive Pakistan economy. The calibrated model assesses the net gains of technical change for the overall economy and at the agriculture-specific level. The study finds that the gains of technical change are overwhelmingly higher than the costs across the agriculture subsectors. The gains and costs following technical change differ substantially for different crops. More importantly, the study finds a cost-effective optimal level of technical change that potentially reduces crop damages to a minimum possible level. The study therefore contends that the climate policy for Pakistan should consider the role of technical change in addressing climate impacts on the agriculture sector. |
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Article |
author |
Ahmed, A. Devadason, E. S. Al Amin, A. Q. |
author_facet |
Ahmed, A. Devadason, E. S. Al Amin, A. Q. |
author_sort |
Ahmed, A. |
title |
Modeling technical change in climate analysis: evidence from agricultural crop damages |
title_short |
Modeling technical change in climate analysis: evidence from agricultural crop damages |
title_full |
Modeling technical change in climate analysis: evidence from agricultural crop damages |
title_fullStr |
Modeling technical change in climate analysis: evidence from agricultural crop damages |
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Modeling technical change in climate analysis: evidence from agricultural crop damages |
title_sort |
modeling technical change in climate analysis: evidence from agricultural crop damages |
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Springer Verlag |
publishDate |
2017 |
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http://eprints.utm.my/id/eprint/76155/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016396809&doi=10.1007%2fs11356-017-8747-5&partnerID=40&md5=03593f5f06d5a3a9998527d8fa2f6ebc |
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