Literature DB >> 28357797

Modeling technical change in climate analysis: evidence from agricultural crop damages.

Adeel Ahmed1,2, Evelyn S Devadason3, Abul Quasem Al-Amin4,5.   

Abstract

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.

Keywords:  Agriculture; Climate change; DICE model; Pakistan; Technical change

Mesh:

Year:  2017        PMID: 28357797     DOI: 10.1007/s11356-017-8747-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

Review 1.  Microorganisms and climate change: terrestrial feedbacks and mitigation options.

Authors:  Brajesh K Singh; Richard D Bardgett; Pete Smith; Dave S Reay
Journal:  Nat Rev Microbiol       Date:  2010-11       Impact factor: 60.633

2.  Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches.

Authors:  Robert J Lempert; Myles T Collins
Journal:  Risk Anal       Date:  2007-08       Impact factor: 4.000

Review 3.  The influence of climate change on global crop productivity.

Authors:  David B Lobell; Sharon M Gourdji
Journal:  Plant Physiol       Date:  2012-10-10       Impact factor: 8.340

4.  Probabilistic cost estimates for climate change mitigation.

Authors:  Joeri Rogelj; David L McCollum; Andy Reisinger; Malte Meinshausen; Keywan Riahi
Journal:  Nature       Date:  2013-01-03       Impact factor: 49.962

  4 in total

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