经济因素对非洲国家环境质量的影响:面板分位数回归的应用

IF 1.3 Q4 ENVIRONMENTAL SCIENCES
A. Jakada, Suraya Mahmood, Ali Umar Ahmad, Ali Ibrahim Sani, Abdulnasir Turawa Yola
{"title":"经济因素对非洲国家环境质量的影响:面板分位数回归的应用","authors":"A. Jakada, Suraya Mahmood, Ali Umar Ahmad, Ali Ibrahim Sani, Abdulnasir Turawa Yola","doi":"10.34172/ehem.2022.10","DOIUrl":null,"url":null,"abstract":"Background: To mitigate the climate change, several researches have been conducted to determine the determinant factors of CO2 emissions. Nonetheless, a consensus was failed to reach yet on the issue because many of the previous studies did not deliberate the undetected individual heterogeneity across countries. The study aimed to investigate the effects of economic growth, foreign direct investment and financial development within the research background of seven leading African economies over the 49- year period from 1970 to 2019. Methods: In this study, the determinant factors of environmental quality were examined by employing a panel quantile regression. The advantage of the method is considering the distributional heterogeneity to provide a detailed description regarding the driving factors of carbon emissions. Results: It was revealed that the effects of determinants on CO2 emissions are heterogeneous. The quantile regression estimate describes that the influence of economic growth on CO2 emissions is positive and higher at the 50th quantile than in other classes of quantile. The effect of financial development on CO2 emissions is higher and positive at the 90th quantile compared to other categories of quantile. The FDI influence on CO2 emissions is heterogeneous across different quantiles and the coefficient is significant and larger at the 10th quantile than in all the other quantiles. Conclusion: In addition, the study recommends that environmental policies that minimize emissions should be enforced for the purpose of making the environment cleaner, FDI should be environmentally friendly, and relevant incentives are required to redirect private credits towards green projects and renewable energy development.","PeriodicalId":51877,"journal":{"name":"Environmental Health Engineering and Management Journal","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of economic factors on the quality of the environment in African countries: An application of panel quantile regressions\",\"authors\":\"A. Jakada, Suraya Mahmood, Ali Umar Ahmad, Ali Ibrahim Sani, Abdulnasir Turawa Yola\",\"doi\":\"10.34172/ehem.2022.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: To mitigate the climate change, several researches have been conducted to determine the determinant factors of CO2 emissions. Nonetheless, a consensus was failed to reach yet on the issue because many of the previous studies did not deliberate the undetected individual heterogeneity across countries. The study aimed to investigate the effects of economic growth, foreign direct investment and financial development within the research background of seven leading African economies over the 49- year period from 1970 to 2019. Methods: In this study, the determinant factors of environmental quality were examined by employing a panel quantile regression. The advantage of the method is considering the distributional heterogeneity to provide a detailed description regarding the driving factors of carbon emissions. Results: It was revealed that the effects of determinants on CO2 emissions are heterogeneous. The quantile regression estimate describes that the influence of economic growth on CO2 emissions is positive and higher at the 50th quantile than in other classes of quantile. The effect of financial development on CO2 emissions is higher and positive at the 90th quantile compared to other categories of quantile. The FDI influence on CO2 emissions is heterogeneous across different quantiles and the coefficient is significant and larger at the 10th quantile than in all the other quantiles. Conclusion: In addition, the study recommends that environmental policies that minimize emissions should be enforced for the purpose of making the environment cleaner, FDI should be environmentally friendly, and relevant incentives are required to redirect private credits towards green projects and renewable energy development.\",\"PeriodicalId\":51877,\"journal\":{\"name\":\"Environmental Health Engineering and Management Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Engineering and Management Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34172/ehem.2022.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Engineering and Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/ehem.2022.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:为了减缓气候变化,人们开展了多项研究以确定CO2排放的决定因素。然而,由于许多先前的研究没有考虑到未被发现的国家间的个体异质性,因此未能在这个问题上达成共识。该研究旨在调查1970年至2019年49年间七个主要非洲经济体的经济增长、外国直接投资和金融发展的影响。方法:采用面板分位数回归法,对影响环境质量的因素进行分析。该方法的优点是考虑了分布异质性,对碳排放的驱动因素进行了详细的描述。结果:各因素对CO2排放的影响具有异质性。分位数回归估计表明,经济增长对二氧化碳排放的影响在第50个分位数处是正的,且高于其他分位数。与其他类别的分位数相比,金融发展对二氧化碳排放的影响在第90分位数处更高且为正。FDI对CO2排放的影响在不同分位数之间存在异质性,在第10分位数处系数显著且大于其他分位数。结论:此外,该研究建议,为了使环境更清洁,应执行尽量减少排放的环境政策,外国直接投资应是环境友好型的,并需要相关的激励措施,以将私人信贷转向绿色项目和可再生能源开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of economic factors on the quality of the environment in African countries: An application of panel quantile regressions
Background: To mitigate the climate change, several researches have been conducted to determine the determinant factors of CO2 emissions. Nonetheless, a consensus was failed to reach yet on the issue because many of the previous studies did not deliberate the undetected individual heterogeneity across countries. The study aimed to investigate the effects of economic growth, foreign direct investment and financial development within the research background of seven leading African economies over the 49- year period from 1970 to 2019. Methods: In this study, the determinant factors of environmental quality were examined by employing a panel quantile regression. The advantage of the method is considering the distributional heterogeneity to provide a detailed description regarding the driving factors of carbon emissions. Results: It was revealed that the effects of determinants on CO2 emissions are heterogeneous. The quantile regression estimate describes that the influence of economic growth on CO2 emissions is positive and higher at the 50th quantile than in other classes of quantile. The effect of financial development on CO2 emissions is higher and positive at the 90th quantile compared to other categories of quantile. The FDI influence on CO2 emissions is heterogeneous across different quantiles and the coefficient is significant and larger at the 10th quantile than in all the other quantiles. Conclusion: In addition, the study recommends that environmental policies that minimize emissions should be enforced for the purpose of making the environment cleaner, FDI should be environmentally friendly, and relevant incentives are required to redirect private credits towards green projects and renewable energy development.
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
2.40
自引率
37.50%
发文量
17
审稿时长
12 weeks
×
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