title: Implications of climate change damage for agriculture: sectoral evidence from Pakistan.
abstract: This paper gives a projection of the possible damage of climate change on the agriculture sector of Pakistan for the period 2012-2037, based on a dynamic approach, using an environment-related applied computable general equilibrium model (CGE). Climate damage projections depict an upward trend for the period of review and are found to be higher than the global average. Further, the damage to the agricultural sector exceeds that for the overall economy. By sector, climatic damage disproportionately affects the major and minor crops, livestock and fisheries. The largest losses following climate change, relative to the other agricultural sectors, are expected for livestock. The reason for this is the orthodox system of production for livestock, with a low adaptability to negative shocks of climate change. Overall, the findings reveal the high exposure of the agriculture sector to climate damage. In this regard, policymakers in Pakistan should take seriously the effects of climate change on agriculture and consider suitable technology to mitigate those damages.
authors.affiliation: Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia. adeelawan261@gmail.com.
authors.forename: Adeel
authors.initials: A
authors.lastname: Ahmed
authors.affiliation: Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Evelyn S
authors.initials: ES
authors.lastname: Devadason
authors.affiliation: College of Graduate Studies and Institute of Energy Policy and Research (IEPRe), University Tenaga Nasional (UNITEN)/National Energy University, Kuala Lumpur, Malaysia.|International Business School (IBS), Universiti Teknologi Malaysia (UTM), Level 11 Menara Razak Jalan Semarak, 54100, Kuala Lumpur, Malaysia.
authors.forename: Abul Quasem
authors.initials: AQ
authors.lastname: Al-Amin
mesh_terms: D000383:Agriculture / Q000191:economics* / Q000639:trends; D000465:Algorithms; D000818:Animals; D002980:Climate; D057231:Climate Change; D003247:Conservation of Natural Resources; D018556:Crops, Agricultural / Q000191:economics; D005544:Forecasting; D006801:Humans; D058751:Livestock; D018803:Models, Economic; D010154:Pakistan
keywords: Agriculture; CGE; Climate change; Economic damage; Pakistan