气候变化对印度农业的影响:自回归分布滞后法的新证据

IF 1.9 Q2 ECONOMICS
Mohammad Azhar Ud Din, Shaukat Haseen
{"title":"气候变化对印度农业的影响:自回归分布滞后法的新证据","authors":"Mohammad Azhar Ud Din,&nbsp;Shaukat Haseen","doi":"10.1007/s41685-023-00327-1","DOIUrl":null,"url":null,"abstract":"<div><p>Climate change constitutes one of the most critical challenges of the contemporary period and can affect various sectors of economies across the globe, the agricultural sector is not an exception. This study aimed to assess the impact of climate change on India’s agricultural sector from 1990 to 2020. The autoregressive distributed lag (ARDL) approach was utilized to determine the short-run and long-run relationships between variables such as carbon dioxide emissions, temperature, energy utilization, and fertilizer consumption. The ARDL method and the Johansen and Juselius cointegration test both supported the existence of a significant and long relationship among the selected variables. The estimated short- and long-run findings showed that carbon dioxide emissions (CO<sub>2</sub>), temperature, and energy consumption affect agricultural yield positively and significantly. These findings have several implications for the Indian economy. With a large population dependent on agriculture, improved productivity can directly impact food security and rural income, consequently leading to the country’s overall economic development. Enhanced agricultural output due to these factors may potentially lead to surplus production, allowing India to export more agricultural produce. This can positively impact the country’s trade balance and generate revenue through exports.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"8 2","pages":"377 - 394"},"PeriodicalIF":1.9000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of climate change on Indian agriculture: new evidence from the autoregressive distributed lag approach\",\"authors\":\"Mohammad Azhar Ud Din,&nbsp;Shaukat Haseen\",\"doi\":\"10.1007/s41685-023-00327-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Climate change constitutes one of the most critical challenges of the contemporary period and can affect various sectors of economies across the globe, the agricultural sector is not an exception. This study aimed to assess the impact of climate change on India’s agricultural sector from 1990 to 2020. The autoregressive distributed lag (ARDL) approach was utilized to determine the short-run and long-run relationships between variables such as carbon dioxide emissions, temperature, energy utilization, and fertilizer consumption. The ARDL method and the Johansen and Juselius cointegration test both supported the existence of a significant and long relationship among the selected variables. The estimated short- and long-run findings showed that carbon dioxide emissions (CO<sub>2</sub>), temperature, and energy consumption affect agricultural yield positively and significantly. These findings have several implications for the Indian economy. With a large population dependent on agriculture, improved productivity can directly impact food security and rural income, consequently leading to the country’s overall economic development. Enhanced agricultural output due to these factors may potentially lead to surplus production, allowing India to export more agricultural produce. This can positively impact the country’s trade balance and generate revenue through exports.</p></div>\",\"PeriodicalId\":36164,\"journal\":{\"name\":\"Asia-Pacific Journal of Regional Science\",\"volume\":\"8 2\",\"pages\":\"377 - 394\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Journal of Regional Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41685-023-00327-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Regional Science","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s41685-023-00327-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

气候变化是当代最严峻的挑战之一,会影响全球各经济部门,农业部门也不例外。本研究旨在评估 1990 年至 2020 年气候变化对印度农业部门的影响。研究采用了自回归分布滞后(ARDL)方法来确定二氧化碳排放、气温、能源利用和化肥消耗等变量之间的短期和长期关系。ARDL 方法和 Johansen 与 Juselius 协整检验都支持所选变量之间存在显著的长期关系。估计的短期和长期结果显示,二氧化碳排放(CO2)、温度和能源消耗对农业产量有积极和显著的影响。这些发现对印度经济有若干影响。印度有大量人口依赖农业,生产率的提高会直接影响粮食安全和农村收入,从而促进国家的整体经济发展。由于这些因素而提高的农业产量有可能导致生产过剩,使印度能够出口更多的农产品。这将对印度的贸易平衡产生积极影响,并通过出口创收。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of climate change on Indian agriculture: new evidence from the autoregressive distributed lag approach

Climate change constitutes one of the most critical challenges of the contemporary period and can affect various sectors of economies across the globe, the agricultural sector is not an exception. This study aimed to assess the impact of climate change on India’s agricultural sector from 1990 to 2020. The autoregressive distributed lag (ARDL) approach was utilized to determine the short-run and long-run relationships between variables such as carbon dioxide emissions, temperature, energy utilization, and fertilizer consumption. The ARDL method and the Johansen and Juselius cointegration test both supported the existence of a significant and long relationship among the selected variables. The estimated short- and long-run findings showed that carbon dioxide emissions (CO2), temperature, and energy consumption affect agricultural yield positively and significantly. These findings have several implications for the Indian economy. With a large population dependent on agriculture, improved productivity can directly impact food security and rural income, consequently leading to the country’s overall economic development. Enhanced agricultural output due to these factors may potentially lead to surplus production, allowing India to export more agricultural produce. This can positively impact the country’s trade balance and generate revenue through exports.

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
Asia-Pacific Journal of Regional Science
Asia-Pacific Journal of Regional Science Social Sciences-Urban Studies
CiteScore
3.10
自引率
7.10%
发文量
46
期刊介绍: The Asia-Pacific Journal of Regional Science expands the frontiers of regional science through the diffusion of intrinsically developed and advanced modern, regional science methodologies throughout the Asia-Pacific region. Articles published in the journal foster progress and development of regional science through the promotion of comprehensive and interdisciplinary academic studies in relationship to research in regional science across the globe. The journal’s scope includes articles dedicated to theoretical economics, positive economics including econometrics and statistical analysis and input–output analysis, CGE, Simulation, applied economics including international economics, regional economics, industrial organization, analysis of governance and institutional issues, law and economics, migration and labor markets, spatial economics, land economics, urban economics, agricultural economics, environmental economics, behavioral economics and spatial analysis with GIS/RS data education economics, sociology including urban sociology, rural sociology, environmental sociology and educational sociology, as well as traffic engineering. The journal provides a unique platform for its research community to further develop, analyze, and resolve urgent regional and urban issues in Asia, and to further refine established research around the world in this multidisciplinary field. The journal invites original articles, proposals, and book reviews.The Asia-Pacific Journal of Regional Science is a new English-language journal that spun out of Chiikigakukenkyuu, which has a 45-year history of publishing the best Japanese research in regional science in the Japanese language and, more recently and more frequently, in English. The development of regional science as an international discipline has necessitated the need for a new publication in English. The Asia-Pacific Journal of Regional Science is a publishing vehicle for English-language contributions to the field in Japan, across the complete Asia-Pacific arena, and beyond.Content published in this journal is peer reviewed (Double Blind).
×
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