小麦产量对气候模式的响应:来自巴基斯坦地区的证据

IF 2.3 4区经济学 0 ECONOMICS

Climate Change Economics Pub Date : 2021-09-11 DOI:10.1142/s2010007821500093

F. Rehman, K. Sohag

{"title":"小麦产量对气候模式的响应:来自巴基斯坦地区的证据","authors":"F. Rehman, K. Sohag","doi":"10.1142/s2010007821500093","DOIUrl":null,"url":null,"abstract":"The study examines the impact of climate variables on wheat production in 10 major wheat-producing districts of Pakistan. In doing so, we apply the Driscoll–Kraay approach to estimate the panel data from 1981 to 2019. Our empirical analysis reveals that climate variables, including temperature, rainfall and humidity, follow a common correlation across districts. We find that wheat productivity and temperature, as well as rainfall, follow an inverted U-shaped relation. The response of the wheat productivity is quadratic rather than linear towards average temperature and rainfall during the specific time of cultivation, including planting, flowering and harvesting. Besides, fertilizer use promotes and humidity impedes wheat productivity. Our findings are robust considering heterogeneity, serial correlation and spatial dependency.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"236 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2021-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"THE RESPONSE OF WHEAT PRODUCTIVITY TO CLIMATE PATTERNS: EVIDENCE FROM PAKISTANI DISTRICTS\",\"authors\":\"F. Rehman, K. Sohag\",\"doi\":\"10.1142/s2010007821500093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study examines the impact of climate variables on wheat production in 10 major wheat-producing districts of Pakistan. In doing so, we apply the Driscoll–Kraay approach to estimate the panel data from 1981 to 2019. Our empirical analysis reveals that climate variables, including temperature, rainfall and humidity, follow a common correlation across districts. We find that wheat productivity and temperature, as well as rainfall, follow an inverted U-shaped relation. The response of the wheat productivity is quadratic rather than linear towards average temperature and rainfall during the specific time of cultivation, including planting, flowering and harvesting. Besides, fertilizer use promotes and humidity impedes wheat productivity. Our findings are robust considering heterogeneity, serial correlation and spatial dependency.\",\"PeriodicalId\":45922,\"journal\":{\"name\":\"Climate Change Economics\",\"volume\":\"236 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2021-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate Change Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1142/s2010007821500093\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Change Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1142/s2010007821500093","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 7

摘要

该研究考察了气候变量对巴基斯坦10个主要小麦产区小麦产量的影响。为此，我们应用Driscoll-Kraay方法来估计1981年至2019年的面板数据。我们的实证分析表明，气候变量，包括温度、降雨和湿度，在不同地区遵循共同的相关性。我们发现小麦产量与温度以及降雨量呈倒u型关系。小麦产量对种植、开花期和收获期的平均气温和降雨量的响应是二次型的，而不是线性的。此外，化肥的使用促进了小麦的生产力，而湿度则阻碍了小麦的生产力。考虑到异质性、序列相关性和空间依赖性，我们的研究结果是稳健的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

THE RESPONSE OF WHEAT PRODUCTIVITY TO CLIMATE PATTERNS: EVIDENCE FROM PAKISTANI DISTRICTS

The study examines the impact of climate variables on wheat production in 10 major wheat-producing districts of Pakistan. In doing so, we apply the Driscoll–Kraay approach to estimate the panel data from 1981 to 2019. Our empirical analysis reveals that climate variables, including temperature, rainfall and humidity, follow a common correlation across districts. We find that wheat productivity and temperature, as well as rainfall, follow an inverted U-shaped relation. The response of the wheat productivity is quadratic rather than linear towards average temperature and rainfall during the specific time of cultivation, including planting, flowering and harvesting. Besides, fertilizer use promotes and humidity impedes wheat productivity. Our findings are robust considering heterogeneity, serial correlation and spatial dependency.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Climate Change Economics Multiple-

CiteScore

5.10

自引率

17.40%

发文量

期刊介绍： Climate Change Economics (CCE) publishes theoretical and empirical papers devoted to analyses of mitigation, adaptation, impacts, and other issues related to the policy and management of greenhouse gases. CCE is specifically devoted to papers in economics although it is understood that authors may need to rely on other fields for important insights. The journal is interested in papers examining the issue at every scale from local to global and papers from around the world are encouraged. CCE is also interested in both original research and review papers and welcomes comments discussing previous articles.