揭示环境脆弱性的根源:南亚三国研究

IF 2.6 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Mansoor Ahmed Golo, Dongping Han, Daniel Balsalobre Lorente, Asif Raihan, Meltem Altin
{"title":"揭示环境脆弱性的根源:南亚三国研究","authors":"Mansoor Ahmed Golo, Dongping Han, Daniel Balsalobre Lorente, Asif Raihan, Meltem Altin","doi":"10.1007/s41742-024-00626-1","DOIUrl":null,"url":null,"abstract":"<p>The present study aims to ascertain the causes of environmental vulnerabilities in Pakistan, Bangladesh, and India. The countries are ranked top ten in the Global Climate Risk Index list in 1998–2017, 1999–2018, 2000–2019, 2018, and 2019. Hence, we determine whether the observing nations’ increasing GDP per capita, energy use, and population density intensify greenhouse gas emissions. This study also considers structural breaks in the time-series data from 1990 to 2019. Using the bounds-testing approach, we discover evidence of long-run cointegration among the variables. Furthermore, the long-run autoregressive distributed lag (ARDL) estimations disclose that GDP per capita positively correlates with greenhouse gas emissions, with this effect observed across all sample countries except India in the short run. Additionally, in the long and short run, energy use intensifies greenhouse gas emissions in all sample countries except Bangladesh. Population density also harms the environment in both time horizons in all the observed countries. The study also incorporates fully modified OLS (FMOLS) and dynamic OLS (DOLS) regressions for robust interpretations. Findings of FMOLS and DOLS also support the ARDL model’s outcomes. Moreover, diagnostic tests confirm the stability and reliability of ARDL models. Based on the varying findings on the impacts of energy use on greenhouse gas emissions across countries in the short and long run and the influence of GDP per capita in the short run, policymakers should tailor environmental policies according to nations’ energy and income structures.</p><h3 data-test=\"abstract-sub-heading\">Graphical Abstract</h3>\n","PeriodicalId":14121,"journal":{"name":"International Journal of Environmental Research","volume":"15 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering the Origins of Environmental Vulnerabilities: A Study of Three South Asian Nations\",\"authors\":\"Mansoor Ahmed Golo, Dongping Han, Daniel Balsalobre Lorente, Asif Raihan, Meltem Altin\",\"doi\":\"10.1007/s41742-024-00626-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The present study aims to ascertain the causes of environmental vulnerabilities in Pakistan, Bangladesh, and India. The countries are ranked top ten in the Global Climate Risk Index list in 1998–2017, 1999–2018, 2000–2019, 2018, and 2019. Hence, we determine whether the observing nations’ increasing GDP per capita, energy use, and population density intensify greenhouse gas emissions. This study also considers structural breaks in the time-series data from 1990 to 2019. Using the bounds-testing approach, we discover evidence of long-run cointegration among the variables. Furthermore, the long-run autoregressive distributed lag (ARDL) estimations disclose that GDP per capita positively correlates with greenhouse gas emissions, with this effect observed across all sample countries except India in the short run. Additionally, in the long and short run, energy use intensifies greenhouse gas emissions in all sample countries except Bangladesh. Population density also harms the environment in both time horizons in all the observed countries. The study also incorporates fully modified OLS (FMOLS) and dynamic OLS (DOLS) regressions for robust interpretations. Findings of FMOLS and DOLS also support the ARDL model’s outcomes. Moreover, diagnostic tests confirm the stability and reliability of ARDL models. Based on the varying findings on the impacts of energy use on greenhouse gas emissions across countries in the short and long run and the influence of GDP per capita in the short run, policymakers should tailor environmental policies according to nations’ energy and income structures.</p><h3 data-test=\\\"abstract-sub-heading\\\">Graphical Abstract</h3>\\n\",\"PeriodicalId\":14121,\"journal\":{\"name\":\"International Journal of Environmental Research\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Environmental Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s41742-024-00626-1\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s41742-024-00626-1","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在确定巴基斯坦、孟加拉国和印度环境脆弱性的原因。这些国家在 1998-2017 年、1999-2018 年、2000-2019 年、2018 年和 2019 年的全球气候风险指数榜上排名前十。因此,我们确定观察国人均 GDP、能源使用量和人口密度的增加是否加剧了温室气体排放。本研究还考虑了 1990 年至 2019 年时间序列数据的结构性中断。利用边界检验方法,我们发现了变量之间存在长期协整关系的证据。此外,长期自回归分布滞后(ARDL)估计表明,人均国内生产总值与温室气体排放量呈正相关,除印度外,所有样本国家在短期内都观察到了这种效应。此外,从长期和短期来看,除孟加拉国外,所有样本国家的能源使用都会加剧温室气体排放。在所有样本国家,人口密度也会在两个时间跨度内对环境造成危害。本研究还采用了完全修正 OLS(FMOLS)和动态 OLS(DOLS)回归,以获得稳健的解释。FMOLS 和 DOLS 的结果也支持 ARDL 模型的结果。此外,诊断测试证实了 ARDL 模型的稳定性和可靠性。基于各国能源使用对温室气体排放的短期和长期影响以及人均 GDP 对短期影响的不同结论,政策制定者应根据各国的能源和收入结构制定相应的环境政策。 图表摘要
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Uncovering the Origins of Environmental Vulnerabilities: A Study of Three South Asian Nations

Uncovering the Origins of Environmental Vulnerabilities: A Study of Three South Asian Nations

The present study aims to ascertain the causes of environmental vulnerabilities in Pakistan, Bangladesh, and India. The countries are ranked top ten in the Global Climate Risk Index list in 1998–2017, 1999–2018, 2000–2019, 2018, and 2019. Hence, we determine whether the observing nations’ increasing GDP per capita, energy use, and population density intensify greenhouse gas emissions. This study also considers structural breaks in the time-series data from 1990 to 2019. Using the bounds-testing approach, we discover evidence of long-run cointegration among the variables. Furthermore, the long-run autoregressive distributed lag (ARDL) estimations disclose that GDP per capita positively correlates with greenhouse gas emissions, with this effect observed across all sample countries except India in the short run. Additionally, in the long and short run, energy use intensifies greenhouse gas emissions in all sample countries except Bangladesh. Population density also harms the environment in both time horizons in all the observed countries. The study also incorporates fully modified OLS (FMOLS) and dynamic OLS (DOLS) regressions for robust interpretations. Findings of FMOLS and DOLS also support the ARDL model’s outcomes. Moreover, diagnostic tests confirm the stability and reliability of ARDL models. Based on the varying findings on the impacts of energy use on greenhouse gas emissions across countries in the short and long run and the influence of GDP per capita in the short run, policymakers should tailor environmental policies according to nations’ energy and income structures.

Graphical Abstract

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
CiteScore
5.40
自引率
0.00%
发文量
104
审稿时长
1.7 months
期刊介绍: International Journal of Environmental Research is a multidisciplinary journal concerned with all aspects of environment. In pursuit of these, environmentalist disciplines are invited to contribute their knowledge and experience. International Journal of Environmental Research publishes original research papers, research notes and reviews across the broad field of environment. These include but are not limited to environmental science, environmental engineering, environmental management and planning and environmental design, urban and regional landscape design and natural disaster management. Thus high quality research papers or reviews dealing with any aspect of environment are welcomed. Papers may be theoretical, interpretative or experimental.
×
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