The Impact of Climate Change on Agricultural Employment, Evidence from South Asian Countries based on Pooled Mean Group Estimation of Dynamic Heterogeneous Panel

IF 0.5 3区 社会学 Q3 AREA STUDIES
Md. Nadim Uddin, Abdullah Al Mamun
{"title":"The Impact of Climate Change on Agricultural Employment, Evidence from South Asian Countries based on Pooled Mean Group Estimation of Dynamic Heterogeneous Panel","authors":"Md. Nadim Uddin, Abdullah Al Mamun","doi":"10.33687/jsas.011.02.4172","DOIUrl":null,"url":null,"abstract":"Being the most populous region, South Asia is home to one-fourth of the population in the world. Along with the aforementioned feature, South Asia is becoming one of the most climatic-hazard-prone regions on the planet. Hence, this study attempts to analyse empirically how economic performance and climate change affect employment in the agriculture sector. The study includes seven South Asian countries’ data, excluding the Maldives, from 1992 to 2021 by applying the most widely used Panel ARDL, which involved pooled mean group (PMG) estimation. In the short run, the effect of past-year employment and temperature is positive, whereas GDP per capita is negatively related to agricultural employment and rainfall is insignificant. However, in the long run, the error correction coefficient is significant, and overall data has been able to establish a long-run relationship. The study concludes that, with the long-run impact for each country, agricultural employment is negatively affected by GDP per capita and temperature. Lastly, the effect of temperature in the long run reveals that climate change has long-term impacts on agriculture employment. We believe that the findings of the study have important implications for policymakers in the future.","PeriodicalId":46457,"journal":{"name":"South Asia-Journal of South Asian Studies","volume":"60 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"South Asia-Journal of South Asian Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33687/jsas.011.02.4172","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

Being the most populous region, South Asia is home to one-fourth of the population in the world. Along with the aforementioned feature, South Asia is becoming one of the most climatic-hazard-prone regions on the planet. Hence, this study attempts to analyse empirically how economic performance and climate change affect employment in the agriculture sector. The study includes seven South Asian countries’ data, excluding the Maldives, from 1992 to 2021 by applying the most widely used Panel ARDL, which involved pooled mean group (PMG) estimation. In the short run, the effect of past-year employment and temperature is positive, whereas GDP per capita is negatively related to agricultural employment and rainfall is insignificant. However, in the long run, the error correction coefficient is significant, and overall data has been able to establish a long-run relationship. The study concludes that, with the long-run impact for each country, agricultural employment is negatively affected by GDP per capita and temperature. Lastly, the effect of temperature in the long run reveals that climate change has long-term impacts on agriculture employment. We believe that the findings of the study have important implications for policymakers in the future.
气候变化对农业就业的影响——来自南亚国家的证据——基于动态异质性面板的混合平均组估计
南亚是人口最多的地区,占世界人口的四分之一。除了上述特点外,南亚正在成为地球上最容易发生气候灾害的地区之一。因此,本研究试图实证分析经济绩效和气候变化如何影响农业部门的就业。该研究包括七个南亚国家(不包括马尔代夫)从1992年到2021年的数据,采用了最广泛使用的Panel ARDL,其中涉及汇总平均组(PMG)估计。在短期内,过去一年的就业和温度的影响是正的,而人均GDP与农业就业负相关,降雨量不显著。但从长期来看,误差修正系数显著,总体数据已经能够建立长期关系。该研究的结论是,就各国的长期影响而言,农业就业受到人均GDP和气温的负面影响。最后,温度的长期影响揭示了气候变化对农业就业的长期影响。我们相信,这项研究的结果对未来的政策制定者具有重要的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.20
自引率
11.10%
发文量
75
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信