Impact of regional energy allocation distortion on carbon emission efficiency: Evidence from China

Guang, Fengtao; Deng, Yamin; Wen, Le; Sharp, Basil; Hong, Shuifeng

doi:10.1016/j.jenvman.2023.118241

Cited by 31 publications

(5 citation statements)

References 51 publications

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“… 41 , 42 Moreover, decreasing final energy consumption and bringing forward the corresponding peaking years are needed in order to realize climate goals, which undoubtedly decreases carbon emission. 43 , 44 Our evaluation shows that significant CO 2 reductions are observed in the 15D circumstance with the peak value occurring between 2020 and 2025 and decreasing by 17.8–26.4% among the six provinces compared with BAU. It accords with other studies.…”

Section: Discussionmentioning

confidence: 82%

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China

Xu,

Wang,

Zhao

et al. 2024

iScience

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Section: Discussionmentioning

confidence: 82%

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China

Xu,

Wang,

Zhao

et al. 2024

iScience

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“…Similarly, Xue et al (2022) note that the underlying mechanism of green technological advancement causes a decrease in carbon emissions as a result of Broadband China's construction. Additionally, scholars have explored studies focusing on industrial structure, energy allocation distortion, and green finance (Guang et al, 2023;Zhang and Liu, 2022;J. Zhao et al, 2022).…”

Section: Factors Affecting Carbon Emission Efficiencymentioning

confidence: 99%

Does business environment optimization improve carbon emission efficiency? Evidence from provincial panel data in China

Li,

Liu

2024

Environ Sci Pollut Res

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Previous research has yielded varied conclusions regarding the effect of business environment (BE) optimization to improve carbon emission efficiency (CEE). In this study, CEE and BE are assessed using energy consumption and economic growth data from 30 provinces in China. The research employs fixed effects, quantile, and mediation effect models to analyze the direct impact, nonlinear characteristics, mechanism, and heterogeneity of BE on CEE. The research found that. Firstly, the BE optimization enhances CEE, with a 1% increase leading to a 0.095% improvement in CEE. Secondly, the influence of the BE on CEE exhibits marginal diminishing traits that decline as CEE improves. Thirdly, the analysis of mechanisms reveals that the BE primarily impacts CEE through positive mechanisms such as industrial structure optimization and green technology progress, as well as a negative mechanism known as the energy rebound effect. Lastly, the analysis of heterogeneity indicates that the BE exerts a more substantial influence on CEE in regions characterized by robust government governance, younger officials, and highly educated officials. These findings offer valuable insights for local governments seeking to leverage the BE to enhance energy efficiency and foster sustainable development.

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“…Firstly, it can enhance energy usage efficiency, resulting in reduced energy consumption per unit of production and consequently improving the CEP [57]. Secondly, technological innovation can address provincial energy allocation distortions, leading to improved economic output, enhanced energy efficiency, and ultimately better CEP [58]. Thirdly, the advancement of technology contributes to the expansion of renewable energy capacity, consequently bolstering the overall availability of renewable energy.…”

Section: H1mentioning

confidence: 99%

Does the Energy-Consumption Permit Trading Scheme Improve Carbon Emission Performance? Evidence from a Quasi-Natural Experiment in China

He,

Jiang

2024

Sustainability

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The Chinese government launched the Energy-Consumption Permit Trading Scheme (ECPT) in 2016 as a pilot policy initiative to achieve energy conservation and emissions reduction goals. To generate a quasi-natural experiment, this study used a difference-in-differences (DID) approach with panel data from 2006 to 2020 in China. The goal was to explore the impact of the ECPT policy on the carbon emission performance (CEP) as well as analyze the underlying influence processes. The findings indicate that applying the ECPT has a considerable positive influence on the CEP. In comparison to provinces that did not engage in the pilot program, those that did reported a 4.5% improvement in CEP. We can safely declare that the results remain consistent and trustworthy after undergoing a battery of rigorous tests to assess the robustness of our findings. The mechanism’s evaluation revealed that the ECPT has the potential to improve the CEP, mostly via changing energy consumption patterns and stimulating technological innovation. Furthermore, when we considered heterogeneity, we discovered that factors such as geographical location, the level of green financing development, and the level of environmental regulation may affect the ECPT policy effects.

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Impact of regional energy allocation distortion on carbon emission efficiency: Evidence from China

Cited by 31 publications

References 51 publications

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China

Does business environment optimization improve carbon emission efficiency? Evidence from provincial panel data in China

Does the Energy-Consumption Permit Trading Scheme Improve Carbon Emission Performance? Evidence from a Quasi-Natural Experiment in China

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