{"title":"农业生产是印度环境退化的罪魁祸首吗?基于面板数据分析的可持续性影响","authors":"Swati Sinha Babu","doi":"10.1177/09749101241239107","DOIUrl":null,"url":null,"abstract":"The study aims to investigate the impact of agricultural production on environmental degradation in the case of India, an emerging market economy, based on time series data from 1990 to 2020. Methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) emissions have been used as indicators of degradation. Autoregressive distributive lag bound tests examine the long-run cointegrating relationship among the variables. To investigate the existence of the environmental Kuznets curve (EKC) between agricultural production and CH4, N2O, and CO2, we used a fully modified ordinary least squares (FMOLS) technique, and the robustness of the results of FMOLS were checked by dynamic ordinary least squares estimators. We also used Granger causality to check for unidirectional and bidirectional causalities. Results indicate an inverted U-shaped relationship in the case of both CH4 and N2O emission, thus confirming the EKC hypothesis. The relationship of CO2 emission with agricultural production does not verify the EKC hypothesis, and we find a U-shaped relation in the long-run. Lastly, policy measures have been suggested to mitigate greenhouse gas emissions from agricultural activities that may help attain a more sustainable economy. JEL Classification Q1, Q22, Q23, Q53, C33","PeriodicalId":37512,"journal":{"name":"Global Journal of Emerging Market Economies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is Agricultural Production Responsible for Environmental Degradation in India? Implications for Sustainability Based on Panel Data Analysis\",\"authors\":\"Swati Sinha Babu\",\"doi\":\"10.1177/09749101241239107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study aims to investigate the impact of agricultural production on environmental degradation in the case of India, an emerging market economy, based on time series data from 1990 to 2020. Methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) emissions have been used as indicators of degradation. Autoregressive distributive lag bound tests examine the long-run cointegrating relationship among the variables. To investigate the existence of the environmental Kuznets curve (EKC) between agricultural production and CH4, N2O, and CO2, we used a fully modified ordinary least squares (FMOLS) technique, and the robustness of the results of FMOLS were checked by dynamic ordinary least squares estimators. We also used Granger causality to check for unidirectional and bidirectional causalities. Results indicate an inverted U-shaped relationship in the case of both CH4 and N2O emission, thus confirming the EKC hypothesis. The relationship of CO2 emission with agricultural production does not verify the EKC hypothesis, and we find a U-shaped relation in the long-run. Lastly, policy measures have been suggested to mitigate greenhouse gas emissions from agricultural activities that may help attain a more sustainable economy. JEL Classification Q1, Q22, Q23, Q53, C33\",\"PeriodicalId\":37512,\"journal\":{\"name\":\"Global Journal of Emerging Market Economies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Journal of Emerging Market Economies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09749101241239107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Emerging Market Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09749101241239107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在根据 1990 年至 2020 年的时间序列数据,以新兴市场经济体印度为例,调查农业生产对环境退化的影响。甲烷(CH4)、一氧化二氮(N2O)和二氧化碳(CO2)排放量被用作环境退化的指标。自回归分布滞后约束检验考察了变量之间的长期协整关系。为了研究农业生产与 CH4、N2O 和 CO2 之间是否存在环境库兹涅茨曲线(EKC),我们使用了完全修正的普通最小二乘法(FMOLS)技术,并通过动态普通最小二乘法估计器检验了 FMOLS 结果的稳健性。我们还利用格兰杰因果关系检验了单向和双向因果关系。结果表明,CH4 和 N2O 排放均呈倒 U 型关系,从而证实了 EKC 假设。二氧化碳排放与农业生产的关系没有验证 EKC 假说,我们发现长期关系呈 U 型。最后,我们提出了减少农业活动温室气体排放的政策措施,这些措施可能有助于实现更可持续的经济。JEL 分类 Q1, Q22, Q23, Q53, C33
Is Agricultural Production Responsible for Environmental Degradation in India? Implications for Sustainability Based on Panel Data Analysis
The study aims to investigate the impact of agricultural production on environmental degradation in the case of India, an emerging market economy, based on time series data from 1990 to 2020. Methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) emissions have been used as indicators of degradation. Autoregressive distributive lag bound tests examine the long-run cointegrating relationship among the variables. To investigate the existence of the environmental Kuznets curve (EKC) between agricultural production and CH4, N2O, and CO2, we used a fully modified ordinary least squares (FMOLS) technique, and the robustness of the results of FMOLS were checked by dynamic ordinary least squares estimators. We also used Granger causality to check for unidirectional and bidirectional causalities. Results indicate an inverted U-shaped relationship in the case of both CH4 and N2O emission, thus confirming the EKC hypothesis. The relationship of CO2 emission with agricultural production does not verify the EKC hypothesis, and we find a U-shaped relation in the long-run. Lastly, policy measures have been suggested to mitigate greenhouse gas emissions from agricultural activities that may help attain a more sustainable economy. JEL Classification Q1, Q22, Q23, Q53, C33
期刊介绍:
Global Journal of Emerging Market Economies is a peer-reviewed journal. The aim of the journal is to provide an international platform for knowledge sharing, discussion and networking on the various aspects related to emerging market economies through publications of original research. It aims to make available basic reference material for policy-makers, business executives and researchers interested in issues of fundamental importance to the economic prospects and performance of emerging market economies. The topics for discussion are related to the following general categories: D. Microeconomics E. Macroeconomics and Monetary Economics F. International Economics G. Financial Economics H. Public Economics I. Health, Education, and Welfare J. Labor and Demographic Economics L. Industrial Organization O. Economic Development, Innovation, Technological Change, and Growth Q. Agricultural and Natural Resource Economics • Environmental and Ecological Economics R. Urban, Rural, Regional, Real Estate, and Transportation Economics Additionally, the journal would be most interested to publish topics related to Global Financial Crisis and the Impact on Emerging Market Economies Economic Development and Inclusive Growth Climate Change and Energy Infrastructure Development and Public Private Partnerships Capital Flows to and from Emerging Market Economies Regional Cooperation Trade and Investment and Development of National and Regional Financial Markets The Belt and Road Initiative.