Spillovers of environmental regulation on carbon emissions network

Jiang, Qi–Chuan; Ma, Xuejiao

doi:10.1016/j.techfore.2021.120825

Cited by 90 publications

(30 citation statements)

References 47 publications

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“…It is expressed by the investment in environmental pollution control. A higher intensity of regulation forces enterprises to reduce emissions [ 64 , 65 ]. Therefore, the intensity of environmental regulation is an important factor restraining CEs by enterprises.…”

Section: Resultsmentioning

confidence: 99%

Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality

Liu

Ren

et al. 2022

IJERPH

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Cities are areas featuring a concentrated population and economy and are major sources of carbon emissions (CEs). The spatial differences and influential factors of urban carbon emissions (UCEs) need to be examined to reduce CEs and achieve the target of carbon neutrality. This paper selected 264 cities at the prefecture level in China from 2008 to 2018 as research objects. Their UCEs were calculated by the CE coefficient, and the spatial differences in them were analyzed using exploratory spatial data analysis (ESDA). The influential factors of UCEs were studied with Geodetector. The results are as follows: (1) The UCEs were increasing gradually. Cities with the highest CEs over the study period were located in the urban agglomerations of Beijing–Tianjin–Hebei, Yangtze River Delta, Pearl River Delta, middle reaches of the Yangtze River, and Chengdu–Chongqing. (2) The UCEs exhibited certain global and local spatial autocorrelations. (3) The industrial structure was the dominant factor influencing UCEs.

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Section: Resultsmentioning

confidence: 99%

Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality

Liu

Ren

et al. 2022

IJERPH

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“…Additionally, environmental regulations effectively improve per capita carbon emission efficiency, but there are regional differences [ 5 ]. In addition, environmental regulations have a spatial correlation effect on carbon emissions [ 6 , 7 , 8 ]. Zhang (2014) studied the impacts of environmental regulations on carbon emissions based on different spatial weight matrices and found that environmental regulations in the subject and neighboring regions significantly promoted carbon emissions [ 9 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Environmental Regulations on Tourism Carbon Emissions

Qiao

Mao

Morrison

2021

IJERPH

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This research analyzed the impact of environmental regulations and their power in suppressing tourism carbon emissions. The results showed that: (1) four types of environmental regulations had significant inhibiting effects on tourism carbon emissions, but different types of regulations had varying effects; and (2) environmental regulations had a significant time lag effect on tourism carbon emissions. The decay rates of the environmental regulation effects were dissimilar for supervisory management, market incentives, command and control, and public participation; and (3) environmental regulations had dissimilar influences on tourism carbon emissions at the regional level. Government agencies should choose differentiated environmental regulation tools, attach great importance to the time-lag effect of environmental regulations on tourism carbon emissions, and establish systems and mechanisms of public participation in environmental matters.

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“…Bartle [ 24 ] believed that environmental policies and regulations can effectively control greenhouse gas emissions, and analyzed the theoretical mechanism between the two. Based on the OLS approach, Jiang and Ma [ 25 ] investigated and determined a U-shaped link between carbon emissions and environmental regulation. In addition, by using the panel data for 17 European Union countries during 1995–2017, Neves et al [ 26 ] confirmed that market-based regulatory policies can reduce carbon emissions in the long-run.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying the Impact of Industrial Agglomeration on China’s Carbon Emissions Based on the Spatial Econometric Analysis

Xian-pu

2023

Journal of Environmental and Public Health

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China’s rapid economic growth is accompanied by industrial agglomeration (IA) and environmental pollution. Although IA has played an important role in reducing environmental pollution, its effect on carbon emissions is still debatable and deserves further study. In this context, this paper constructs a two-sector general equilibrium model including households and firms to explore the mechanisms of IA on carbon emissions and finds that IA mainly affects carbon emissions through the agglomeration effect and congestion effect. Then, based on the balanced panel data for 30 Chinese provinces from 2003 to 2019, this study employs the dynamic spatial panel model to investigate the nexus between different types of IA and carbon emissions. The empirical results reveal that a significant positive spatial dependence is verified in the regional carbon emissions of China, indicating that carbon emissions exhibit a remarkably spatial spillover effect. Meanwhile, there are significant variations in the influence of different types of IA on carbon emissions. Specifically, specialized agglomeration (SA) positively affects carbon emissions, while the impact of diversified agglomeration (DA) on carbon emissions is negative, implying that China’s DA may contribute to carbon emission control. In addition, there is regional heterogeneity in the effect of IA on carbon emissions, with the western region having a significantly greater effect than the eastern and central regions. Therefore, the Chinese government should follow the notion of integrating territory administration and interregional communication and formulate regionally differentiated environmental governance policies to promote carbon emission reduction in the future.

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Spillovers of environmental regulation on carbon emissions network

Cited by 90 publications

References 47 publications

Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality

Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality

Impacts of Environmental Regulations on Tourism Carbon Emissions

Identifying the Impact of Industrial Agglomeration on China’s Carbon Emissions Based on the Spatial Econometric Analysis

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