Energy efficiency and China's sustainable carbon neutrality target : evidence from novel research methods quantile on quantile regression approach.

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dc.contributor.authorBao, Zongke
dc.contributor.authorFerraz, Diogo
dc.contributor.authorRebelatto, Daisy Aparecida do Nascimento
dc.date.accessioned2022-06-13T20:30:23Z
dc.date.available2022-06-13T20:30:23Z
dc.date.issued2022pt_BR
dc.description.abstractSince the last few decades, scholars and policy-makers have been struggling to find ways to achieve carbon neutrality target or a low carbon economy. To contribute to the existing literature regarding the said issue, this study aims to investigate whether energy efficiency could lead to achieving carbon neutrality target in the case of China. Also, this study analyses the association of economic growth to energy-related greenhouse gas emissions while using quarterly data over the period from 1990Q1 to 2014Q2. Empirical findings of the study suggest the mixed order of integration and Cointegration between economic growth, energy efficiency, and energy-related greenhouse gas emissions. This study employed a Quantile-on-Quantile regression approach to examine the long-run association at various quantiles. The esti- mated results asserted that energy efficiency holds a weaker rela- tionship in the lower and medium quantiles, while relatively higher association to energy-related emission in the upper quan- tiles. On the other hand, economic growth and its squared are found significantly and highly associated with enhancing energy- related emissions in the country. Besides, the frequency domain causality indicates a causal association running from energy effi- ciency and economic growth to energy-related greenhouse gas emissions. This study recommends revised policies for energy effi- ciency and suggests that economic growth could be used as a remedial measure for environmental recovery by enhancing investment in the renewable energy sector, energy efficiency, and structural transformation of the industrial sector.pt_BR
dc.identifier.citationBAO, Z.; FERRAZ, D.; REBELATTO, D. A. do N. Energy efficiency and China's sustainable carbon neutrality target: evidence from novel research methods quantile on quantile regression approach. Economic Research-Ekonomska Istrazivanja, v. 1, 2022. Disponível em: <https://www.tandfonline.com/doi/full/10.1080/1331677X.2022.2054456>. Acesso em: 24 maio 2022.pt_BR
dc.identifier.doihttps://doi.org/10.1080/1331677X.2022.2054456pt_BR
dc.identifier.issn1848-9664
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/14975
dc.identifier.uri2https://www.tandfonline.com/doi/full/10.1080/1331677X.2022.2054456pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectEconomic growthpt_BR
dc.subjectGreenhouse gaspt_BR
dc.subjectEmissionspt_BR
dc.subjectFrequency domain causalitypt_BR
dc.titleEnergy efficiency and China's sustainable carbon neutrality target : evidence from novel research methods quantile on quantile regression approach.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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