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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorZhejiang Univ Finance & Econ-
Autor(es): dc.contributorFed Univ Ouro Preto UFOP-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniv Hohenheim-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorBao, Zongke-
Autor(es): dc.creatorFerraz, Diogo [UNESP]-
Autor(es): dc.creatorNascimento Rebelatto, Daisy Aparecida do-
Data de aceite: dc.date.accessioned2022-08-04T21:58:37Z-
Data de disponibilização: dc.date.available2022-08-04T21:58:37Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-03-16-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1080/1331677X.2022.2054456-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/218600-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/218600-
Descrição: dc.descriptionSince 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 estimated results asserted that energy efficiency holds a weaker relationship in the lower and medium quantiles, while relatively higher association to energy-related emission in the upper quantiles. 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 efficiency and economic growth to energy-related greenhouse gas emissions. This study recommends revised policies for energy efficiency 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.-
Descrição: dc.descriptionYouth Program of NSFC (National Natural Science Foundation of China)-
Descrição: dc.descriptionSoft Science Research Project of Zhejiang Soft Science of China Province-
Descrição: dc.descriptionZhejiang Univ Finance & Econ, Sch Accounting, Hangzhou, Peoples R China-
Descrição: dc.descriptionFed Univ Ouro Preto UFOP, Dept Econ DEECO, Rua Catete, Mariana, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Prod Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Hohenheim, Stuttgart, Germany-
Descrição: dc.descriptionUniv Sao Paulo, Dept Prod Engn, Ave Trabalhador Sao Carlense, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Prod Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionYouth Program of NSFC (National Natural Science Foundation of China): 71704154-
Descrição: dc.descriptionSoft Science Research Project of Zhejiang Soft Science of China Province: 2021C35022-
Formato: dc.format23-
Idioma: dc.languageen-
Publicador: dc.publisherRoutledge Journals, Taylor & Francis Ltd-
Relação: dc.relationEconomic Research-ekonomska Istrazivanja-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectEnergy efficiency-
Palavras-chave: dc.subjecteconomic growth-
Palavras-chave: dc.subjectgreenhouse gas-
Palavras-chave: dc.subjectemissions-
Palavras-chave: dc.subjectquantile-on-quantile regression-
Palavras-chave: dc.subjectfrequency domain causality-
Título: dc.titleEnergy efficiency and China's sustainable carbon neutrality target: evidence from novel research methods quantile on quantile regression approach-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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