An assessment of the impact of climate on wheat yield in Indo-Gangetic plain region of India: A panel data analysis

Q3 Agricultural and Biological Sciences Journal of Agrometeorology Pub Date : 2024-06-01 DOI:10.54386/jam.v26i2.2535
ANUJ KUMAR, SWAMI PRASAD SAXENA
{"title":"An assessment of the impact of climate on wheat yield in Indo-Gangetic plain region of India: A panel data analysis","authors":"ANUJ KUMAR, SWAMI PRASAD SAXENA","doi":"10.54386/jam.v26i2.2535","DOIUrl":null,"url":null,"abstract":"This paper is an attempt to assess the impact of climate on wheat yield in the Indo-Gangetic Plain (IGP) region of India by using panel data analysis. Five IGP states namely Punjab, Haryana, Uttar Pradesh, Bihar, and West Bengal have been considered to frame a panel. The study used the data of climatic and non-climatic variables from 1990 to 2022 to achieve the objective of the study. The Im-Pesaran-Shin unit-root test was applied to check the stationarity of data. The results of the panel least square dummy variable model indicated that all the climatic variables had non significant influence. Among non-climatic variables that help increase wheat yield, fertilizer consumption and mechanization in agriculture were found to have a significant positive impact on wheat yield in the IGP region of India.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agrometeorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54386/jam.v26i2.2535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

This paper is an attempt to assess the impact of climate on wheat yield in the Indo-Gangetic Plain (IGP) region of India by using panel data analysis. Five IGP states namely Punjab, Haryana, Uttar Pradesh, Bihar, and West Bengal have been considered to frame a panel. The study used the data of climatic and non-climatic variables from 1990 to 2022 to achieve the objective of the study. The Im-Pesaran-Shin unit-root test was applied to check the stationarity of data. The results of the panel least square dummy variable model indicated that all the climatic variables had non significant influence. Among non-climatic variables that help increase wheat yield, fertilizer consumption and mechanization in agriculture were found to have a significant positive impact on wheat yield in the IGP region of India.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
印度印度河-甘地平原地区气候对小麦产量影响的评估:面板数据分析
本文试图通过面板数据分析,评估气候对印度印度河平原(IGP)地区小麦产量的影响。研究考虑了五个 IGP 邦,即旁遮普邦、哈里亚纳邦、北方邦、比哈尔邦和西孟加拉邦,以构建面板数据。研究使用了 1990 年至 2022 年的气候和非气候变量数据来实现研究目标。采用 Im-Pesaran-Shin 单位根检验来检查数据的静止性。面板最小平方虚拟变量模型的结果表明,所有气候变量的影响都不显著。在有助于提高小麦产量的非气候变量中,化肥消耗和农业机械化对印度 IGP 地区的小麦产量有显著的积极影响。
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 去求助
来源期刊
Journal of Agrometeorology
Journal of Agrometeorology 农林科学-农艺学
CiteScore
1.40
自引率
0.00%
发文量
95
审稿时长
>12 weeks
期刊介绍: The Journal of Agrometeorology (ISSN 0972-1665) , is a quarterly publication of Association of Agrometeorologists appearing in March, June, September and December. Since its beginning in 1999 till 2016, it was a half yearly publication appearing in June and December. In addition to regular issues, Association also brings out the special issues of the journal covering selected papers presented in seminar symposia organized by the Association.
期刊最新文献
Development of weather based statistical models for Rhizoctonia aerial blight disease of soybean in Tarai region of Uttarakhand Water use efficiency and water productivity of aerobic rice under drip irrigation and fertigation system by using daily soil water balance Drought severity estimation using NDWI index in Parbhani district of Maharashtra Comparison of machine learning classification algorithms based on weather variables and seed characteristics for the selection of paddy seed Growth performance and agrometeorological indices of rice under different establishment methods
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1