Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65547
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dc.contributor.authorYefan Zhouen_US
dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2019-08-05T04:35:13Z-
dc.date.available2019-08-05T04:35:13Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85064196501en_US
dc.identifier.other10.1007/978-3-030-14815-7_34en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064196501&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65547-
dc.description.abstract© Springer Nature Switzerland AG 2019. Over the last three decades, the relationship between growth, foreign direct investment and carbon emissions has become an important issue among environmental economists. The target of this study is to investigate the impact of economic growth and foreign direct investment on carbon emissions in order to provide environmental improvement suggestions. This study tests the validity of the Environmental Kuznets Curve (EKC) hypothesis, including G7 countries (Canada, United State, United Kingdom, Japan, France, Germany, Italy) and BRICS countries (Brazil, Russia, India, China and South Africa) for the period of 1992–2014. We adopt a panel quantile regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration. Moreover, to avoid an omitted variable bias, certain related control variables are included in our model. Firstly, our empirical results show that the effect of the independent variables on carbon emissions is heterogeneous across quantiles. Secondly, regarding the impact of FDI on carbon emissions, we find that these results support the pollution halo theory in G7 countries and support the pollution haven hypothesis in BRICS countries. Thirdly, the empirical findings are in support of inverted U-shaped curve of EKC in G7 countries. Finally, the results of the study also provide policymakers with important policy recommendations. In addition, our findings suggest carbon emissions control measures should be tailored differently across low-emissions and high-emissions nations.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleFactors affecting carbon emissons in the G7 and BRICS countries: Evidence from quantile regressionen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume11471 LNAIen_US
article.stream.affiliationsShandong University of Finance and Economicsen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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