Does Environmental Regulation Improve Carbon Emission Efficiency? Inspection of Panel Data from Inter-Provincial Provinces in China

Pan, Jun–Yi; Li, Mengyue; Zhao, Yuting; Gong, Xiujuan; Jin, Ruifeng; Zhang, Yuhan; Li, Xue; Liu, Liang

doi:10.3390/su141610448

Cited by 21 publications

(12 citation statements)

References 57 publications

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“…Even if EIRT is set at a higher level, of which the ability to constrain carbon emissions is lost. This is consistent with the findings of Jiang et al (2022), who found that when green technology innovation is the threshold variable, the relationship between environmental regulation and carbon emission efficiency is U-shaped.…”

Section: Spatial Econometric Regression Resultssupporting

confidence: 92%

Spillover effect of energy intensity reduction targets on carbon emissions in China

Pang

Ding

Shen

2023

Front. Environ. Sci.

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Since the reform and opening-up, China has made remarkable achievements in economic growth, but also led to a substantial increase in carbon emissions. The Chinese government has actively formulated energy intensity reduction targets and taken carbon emission reduction measures. The paper investigates the impact of energy intensity reduction targets on carbon emissions using a dynamic spatial Durbin model based on panel data from 30 provinces in China from 2006 to 2019. The results show that energy intensity reduction targets promote the reduction of local carbon emissions, but have a positive spillover effect on carbon emissions in adjacent regions. Meanwhile, green technology innovation has a non-linear moderating effect between energy intensity reduction targets and carbon emissions. Energy intensity reduction targets promote carbon emission reduction when green technology innovation is less than a threshold, while the promotion effect disappears when green technology innovation exceeds a threshold. The mechanism analysis shows that energy consumption structure is a channel through which energy intensity reduction targets affect carbon emissions in both local and adjacent regions. Further research found that peer competitive pressure promotes carbon emission reduction and alleviates pollution spillover, while central assessment pressure increases carbon emissions and aggravates pollution spillover. Based on the above findings, this study provides suggestions for policymakers aiming at carbon emission reduction by implementing target management policies and optimizing target management systems.

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Section: Spatial Econometric Regression Resultssupporting

confidence: 92%

Spillover effect of energy intensity reduction targets on carbon emissions in China

Pang

Ding

Shen

2023

Front. Environ. Sci.

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“…Eastern China, where there are better underlying conditions and industrial structure, has a much higher carbon emission efficiency than the central and western regions. In addition, the carbon emission efficiency of Jiangxi, Hunan, Hubei, Sichuan, and Chongqing, located in the Yangtze River Economic Belt, is slightly higher than that of the rest of the central and western regions, which is basically in accord with the study of Jiang (2022) [ 65 ].…”

Section: Discussionsupporting

confidence: 82%

Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities

Liu

Zhang

Gong

et al. 2022

IJERPH

Self Cite

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In the realistic context of the development of China’s digital economy and carbon peaking and carbon neutrality goals, to efficiently achieve high-quality economic and green and low-carbon transformation, this paper investigates the impact of digital economy development on the carbon emission efficiency of 30 Chinese provinces and cities from 2011–2019. In this paper, firstly, the digital economy development index and carbon emission efficiency are calculated by the entropy method and the Super-SBM-Undesirable Model. Secondly, the Spatial Lag Model (SAR) and the Spatial Durbin Model (SDM) are respectively constructed under the adjacency matrix and the geographic distance matrix to empirically test the spatial impact of the digital economy on carbon emission efficiency. The results show that: the digital economy development and carbon emission efficiency of Chinese provinces and cities both show the spatial distribution characteristics of stronger in the East and weaker in the Middle and West; the digital economy development in Chinese provinces and cities has a significantly positive direct and spatial spillover effect on carbon emission efficiency; there are differences in the direct and spatial spillover effects of various dimensions of the digital economy development on the carbon emission efficiency in Chinese provinces and cities; the direct effect of the digital economy development on the carbon emission efficiency in Chinese provinces and cities has significant regional heterogeneity among eastern, central, and western regions. This paper provides new empirical evidence for developing countries such as China to proactively develop a digital economy to promote energy conservation and emission reduction to realize green and low-carbon transformation.

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“…Conversely, due to the “green paradox” [ 13 ], environmental regulation is not conducive to improving carbon emission efficiency. Additionally, there may also be a nonlinear relationship between environmental regulation and carbon emission efficiency, that is, the impact of environmental regulation on carbon emission efficiency is uncertain [ 14 ]. On the other hand, there are three types of environmental regulation: command-and-control, market based, and voluntary consciousness [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Liu

Gong

et al. 2022

IJERPH

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The rational use of environmental regulation tools has become an important means by which to improve the efficiency of carbon emissions. Different types of environmental regulations and their combinations have different impacts on carbon emission efficiency. In order to determine the environmental regulation configurations that may achieve high carbon emission efficiency or lead to low carbon emission efficiency, we constructed an analytical framework of connections between environmental regulation configurations and carbon emission efficiency. Moreover, 30 Chinese provinces from the period covering 2016 to 2019 were selected as research cases. In addition, the super slacks-based measure of efficiency (SE-SBM) model was applied to evaluate carbon emission efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to analyze the impact of different environmental regulation configurations on carbon emission efficiency. The results showed that the carbon emission efficiency of various regions of China is generally low (with most regions not having reached an effective level) and that there are large regional differences. We found that there are four environmental regulation configurations that can achieve high carbon emission efficiency and two environmental regulation configurations that lead to low carbon emission efficiency. Based on these configurations, we draw three conclusions: (1) There are three paths to achieving high carbon emission efficiency: one that values command-and-control environmental regulation but disfavors market-incentive environmental regulation, another that combines command-and-control environmental regulation with market-incentive environmental regulation, and a third that couples command-and-control environmental regulation with voluntary environmental regulation. (2) Two paths that may lead to low carbon emission efficiency were established: excessive penalties and the lack of specific measures. (3) In some conditions, environmental governance investment and fiscal expenditure could be substituted for each other; environmental protection administrative penalties and pollution charges are synchronized; environmental governance investment in the promotion of carbon emission efficiency is indispensable. Policies and suggestions on how the government can use environmental regulation tools to improve carbon emission efficiency are proposed from a general coordinative perspective in the final section of this paper.

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Does Environmental Regulation Improve Carbon Emission Efficiency? Inspection of Panel Data from Inter-Provincial Provinces in China

Cited by 21 publications

References 57 publications

Spillover effect of energy intensity reduction targets on carbon emissions in China

Spillover effect of energy intensity reduction targets on carbon emissions in China

Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

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