Energy efficiency and environmental regulations for mitigating carbon emissions in Chinese Provinces

Abstract Taking into account the contributions of economic performance (GDP), urbanization (URB), industrial structure (IND), and renewable energy consumption (REC), this paper examines the impact of green technology innovation (GTE), energy efficiency (EF), and environmental regulation (ER) on CO2 emissions in Chinese provinces from 2010 to 2020. Using the GMM method for the initial estimation, the MMQR as 2nd generation test for robustness and innovative panel causality presented by the JKS test, we have found: 1) a one percent boom in GDP is linked with a 0.08% upward push in CO 2 emissions throughout 30 provinces in China. 2) the renewable energy and energy efficiency data seems to effectively decrease CO 2 emissions, with a more pronounced impact observed at the upper quantile. 3) The environmental policy is limited across all quantiles. The study examines novel implications regarding sustainable development and carbon neutrality objectives.

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Publication Details

Journal
Energy Efficiency
Published
2024-08-01
DOI
https://doi.org/10.1007/s12053-024-10248-3
Citations
18
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
20.33

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article

Energy efficiency and environmental regulations for mitigating carbon emissions in Chinese Provinces

Hind Alofaysan, Kamel Si Mohammed, Javier Cifuentes‐Faura, Magdalena Rãdulescu
18 citations
Energy Efficiency
Energy, Environment, Economic Growth
20.33
article

Energy efficiency and environmental regulations for mitigating carbon emissions in Chinese Provinces

Hind Alofaysan, Kamel Si Mohammed, Javier Cifuentes‐Faura, Magdalena Rãdulescu
article en
18 citations

Abstract

Abstract Taking into account the contributions of economic performance (GDP), urbanization (URB), industrial structure (IND), and renewable energy consumption (REC), this paper examines the impact of green technology innovation (GTE), energy efficiency (EF), and environmental regulation (ER) on CO2 emissions in Chinese provinces from 2010 to 2020. Using the GMM method for the initial estimation, the MMQR as 2nd generation test for robustness and innovative panel causality presented by the JKS test, we have found: 1) a one percent boom in GDP is linked with a 0.08% upward push in CO 2 emissions throughout 30 provinces in China. 2) the renewable energy and energy efficiency data seems to effectively decrease CO 2 emissions, with a more pronounced impact observed at the upper quantile. 3) The environmental policy is limited across all quantiles. The study examines novel implications regarding sustainable development and carbon neutrality objectives.

Energy EfficiencyVol. 17(6)
Princess Nourah bint Abdulrahman University (SA), Lucian Blaga University of Sibiu (RO), University of Pitesti (RO), Azerbaijan State University of Economics (AZ), University of Business and Technology (SA), Centre Européen de Recherche en Economie Financière et Gestion des Entreprises, Universidad de Murcia (ES), Université de Lorraine (FR)
Princess Nourah Bint Abdulrahman University, Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
20.33
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