The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces

Li, Rongrong; Li, Lejia; Wang, Qiang

doi:10.1016/j.scs.2022.103880

Cited by 340 publications

(98 citation statements)

References 51 publications

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“…The carbon emission efficiency of provinces from 2016 to 2019 is shown in Figure 3 , which was drawn using Origin software(Electronic Arts, Redwood City, CA, USA). Similar to the result reported in Figure 2 , carbon emission efficiency can be seen to gradually decrease in the eastern central, northeastern, and western regions from 2016 to 2019 [ 70 , 71 , 72 , 73 ]. The efficiency value in the eastern region was around 0.6, which is a high.…”

Section: Resultssupporting

confidence: 83%

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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Section: Resultssupporting

confidence: 83%

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Liu

Gong

et al. 2022

IJERPH

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“…On the control variables, we add the degree of urbanization, renewable energy consumption, trade openness and industrial structure as control variables. Urbanization has a huge contribution to make in driving economic growth( Li et al, 2022a ), and half of the world's population is expected to migrate to urban areas by 2050. While urbanization brings many good results, such as more jobs, higher revenues and living standards, the mass migration of people from rural to urban areas can put pressure on urban facilities, including water supply, sewage treatment, parklands, greens, schools, hospitals and transportation use, which in turn leads to increased pollution and environmental degradation( Sun et al, 2022 ; Wang et al, 2022c ).…”

Section: Methodsmentioning

confidence: 99%

Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis

Yang

Wang

2023

Environmental Research

Self Cite

234

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“…Thanks to those transport technologies, transportation efficiency is promoted, less energy is required for transportation, and thus the ET is relieved. Due to the technology spillover effects, the above advanced technologies may also be helpful for developing the energy sector, and further contribute to the mitigation of the ET (Li et al , 2022; Nti et al , 2022; Wang et al , 2022; Zheng et al , 2022).…”

Section: Estimation Results and Analysismentioning

confidence: 99%

Quantifying the energy trilemma in China and assessing its nexus with smart transportation

Zhao

Dong

2022

SRT

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Purpose Mitigating the energy trilemma (ET) is of great importance for dealing with climate change and realizing carbon neutrality. To this end, effectively assessing the level of the ET is essential. The purpose of this study is to evaluate the current situation and the spatio-temporal changes of the ET in the whole of China. Design/methodology/approach Moreover, based on provincial-level data in China for the period 2002–2017, and by using the dynamic estimation model, we aim to determine the specific marginal impacts of smart transportation (ST) on the ET, and the possible channels through which ST works on the ET. Findings We thus present the following findings: (1) The performance of both ET and its three pillars is gradually improving in China. Moreover, the situation tends to vary dramatically among various regions and provinces, and the gap between the best performers and the worst is large. (2) ST plays a significant role in inhibiting the ET, a finding that remains robust after a series of tests. And (3) the ET eradication effect of ST is caused mainly by improved innovation, advanced technical efficiency, and the increasing energy scale. Originality/value Accordingly, we put forward some policy recommendations to help tackle ET and accelerate ST in China.

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The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces

Cited by 340 publications

References 51 publications

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis

Quantifying the energy trilemma in China and assessing its nexus with smart transportation

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