气候变化对巴基斯坦农业部门的影响:来自OLS回归和协整的证据

I. Uddin, Jawad Raza Khoso
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摘要

摘要:根据巴基斯坦财政部2016-17年的数据,农业部门对该国GDP的贡献为19.8%,对该国劳动力的贡献约为42.3%。2017年全球气候上升指数显示,巴基斯坦在气候变化方面排名第七,这一排名表明,由于未来气候进一步变化,巴基斯坦在农业部门面临巨大挑战。很少有温室气体、二氧化碳、二氧化碳、甲烷和一氧化二氮等气体是导致全球气候变化的主要原因。由于气温升高,气候变化导致降雨量、海平面和水流的变化。有许多变量可能影响巴基斯坦农业部门的产出,但在本研究中,作者主要关注气候变化方面的温度和降雨。本研究基于2000年至2015年的二手数据。气温和降雨量的月度数据收集自世界经济指标,并将12个月的€™数据进行分割,将这些变量转换为平均值。农业GDP产出收集自《巴基斯坦经济概览》(Economic Survey of pakistan)的各种年度刊物。农业GDP产出以百分比、平均降雨量毫米和平均气温以摄氏度为变量来得出本研究的主要目的。数据通过E-view 7版本的单位根检验、OLS回归分析、Johnson协整等多种统计技术进行分析。估算结果表明,短期内平均降雨量对农业GDP产出的影响为负且显著,而平均气温对农业GDP产出的影响为正且不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Climate Change on Pakistan's Agriculture sector: Evidence from OLS Regression & Co-integration
Abstract: According to Ministry of Finance of Pakistanin the year 2016-17, agriculture sector contributed to GDP 19.8% and employees about 42.3% a labor force in country. Pakistan has been ranked 7th  in climate change by theGlobal climate rise index in 2017, this rank indicates a great challenge for the Pakistan in agriculture sector due to further climate change in future.There are few gases such as greenhouse gases, CO2, carbon dioxide, methane and nitro oxide that mainly are responsible for changes to global climate. The climate change leads to change in rainfall, sea level and flow of water due to increase in temperature. There are many variables which may affect output of agriculture sector of Pakistan but in this study author mainly focused temperature and rainfall in terms of climate change.  This study is based on secondary data from year 2000 to 2015.The monthly data of temperature and rainfall has been collected from world economic indicator and 12 months’ data was divided for converting these variables into average. Agriculture GDP output collected from Economic Survey of Pakistan’s various annual issues.  Agriculture GDP output in terms of percentage, average rainfall mm andaverage temperature in centigradevariables have been used for the conclusion ofmain objective of this study.Data analyzed through various statistical techniques such as unit root test, OLS regression analysis and Johnson co-integration in E-view 7 version.The estimated results revealed that theaverage rainfall mm has negative and significant impact but average temperature has positive and insignificant impact on agriculture GDP output in terms of percentage in short run.
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