Has carbon emissions trading system promoted non-fossil energy development in China?

Liu, Jingyue; Zhang, Yue‐Jun

doi:10.1016/j.apenergy.2021.117613

Cited by 69 publications

(27 citation statements)

References 85 publications

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“…In this way, carbon emission rights can be traded with ordinary commodities in the market, and the total amount of pollutants can be coordinated. Finally, the lowest-cost emission reduction target can be achieved within the total emission limit that does not exceed the legal limit [ 29 ]. The main purpose of carbon emission trading is to solve environmental problems, especially the negative impact of climate change caused by emissions, but this negative impact is not reflected in transaction costs and transaction prices.…”

Section: Theory and Methodsmentioning

confidence: 99%

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain technology, a model of carbon emissions trading in the digital economy is designed, and the specific impact of the digital economy on carbon emissions trading is studied according to the model. The research results show that the mean value of the development index of the digital economy (digital) is −0.0168, the maximum value is 4.2560, the minimum value is −1.3429, and the standard deviation is 0.9572, indicating that the quality of digital economy development varies greatly among different regions. And according to the results of the digital model, it is found that the regression coefficient of the variable digital is significantly negative at the 1% level, showing that the digital economy will obviously suppress the carbon emission intensity of cities. After replacing the explained variables, the coefficient of the digital economy is still significantly negative. It indicates that the development of the digital economy can effectively suppress the carbon emission intensity of urban. Therefore, the designed model of carbon emissions trading under the blockchain technology can not only provide a secure platform for carbon emissions trading but also provide more comprehensive trading reference information for carbon emissions trading. It provides technical support for reducing the carbon emission intensity of resource-based cities and also contributes to the development of resource-based cities.

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Section: Theory and Methodsmentioning

confidence: 99%

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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“…1 Among them, CO 2 emissions from fossil energy consumption account for 75% of the total. 2 If CO 2 concentration continues to increase, it will reach 550 ppm by 2100. 3 Developing new energy sources is an urgent task to mitigate CO 2 emissions.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Statistics show that the global CO 2 concentration in 2021 is 412.45 ppm . Among them, CO 2 emissions from fossil energy consumption account for 75% of the total . If CO 2 concentration continues to increase, it will reach 550 ppm by 2100 .…”

Section: Introductionmentioning

confidence: 99%

Exergy Analysis and Advanced Exergy Analysis of a Novel Power/Refrigeration Cascade System for Recovering Low-Grade Waste Heat at 90–150 °C

Liu

et al. 2022

ACS Sustainable Chem. Eng.

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To alleviate the energy crisis and reduce CO 2 emissions, a waste heat-driven system coupled with power and refrigeration is proposed. The exergy analysis and advanced exergy analysis are used to study this system. The results show that the exergy destruction rates of the two subcycles are close to the same level. The endogenous exergy destruction rate caused by the selfirreversibility of components is dominant. According to the distribution of exergy destruction rate obtained by advanced exergy analysis, the improvement strategy of combining component self-improvement, other component improvement, and system optimization for the system is presented. The three components with the highest avoidable endogenous exergy destruction rate and improvement priority are the CO 2 generator, the LiBr generator, and the turbine. This work will help to improve the exergy efficiency of the energy conversion process, and it is also of significance to the utilization of low-grade energy and the sustainable development of chemical engineering.

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“…When both mechanisms are introduced, the proportion of renewable energy installed will be the highest and carbon emissions will be the lowest. The paper [13] evaluated the ETS effect of nonfossil energy development in China by using the DID model, and found that ETS significantly promoted the development of non-fossil energy in China, and the higher the carbon price, the more ETS promotes the development of non-fossil fuels. In terms of the empirical impact on economy, scholars at home and abroad have carried out research from different perspectives of economic development, especially the direct impact of carbon emission trading policy on economic growth, the research conclusions are still controversial.…”

Section: Introductionmentioning

confidence: 99%

The Impact of China’s Carbon Emission Trading Policy on Green Total Factor Productivity – Influence Analysis Based on Super-EBM and Multiple Mediators

Li¹,

Huang²,

Wu³

2022

Pol. J. Environ. Stud.

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Can China's carbon trading policy promote regional green total factor productivity? What are the specific influencing processes and mechanisms between the two? In this paper, we construct an indicator framework for China's green total factor productivity from the perspective of green development, which comprehensively considers various inputs and outputs. This paper uses a more scientific Super-EBM model considering the mixed distance to accurately measure the regional green total factor productivity in China. The static and dynamic effects and multiple mediating effects of carbon trading policy on green total factor productivity were studied by using DID model combined with stepwise regression method. The robustness of the results was tested by parallel trend test and placebo test. The mediating effects of total energy consumption, energy consumption structure, technological innovation and the moderating effects of financial development level and intellectual property protection degree are studied. The results show that carbon trading policy significantly improves China's regional green total factor productivity. The effect of carbon trading policy on green total factor productivity in pilot areas increased to decreased; Total energy consumption and energy consumption structure have a partial intermediary effect on the relationship between carbon emission trading policy and regional green total factor productivity in China, while technological innovation has a masking effect. Regional financial development level and intellectual property protection intensity play a moderating role in the relationship between carbon emission trading policy and regional total factor productivity. Based on the above conclusions, some suggestions are put forward for the improvement of China's carbon trading policy system.

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Has carbon emissions trading system promoted non-fossil energy development in China?

Cited by 69 publications

References 85 publications

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Exergy Analysis and Advanced Exergy Analysis of a Novel Power/Refrigeration Cascade System for Recovering Low-Grade Waste Heat at 90–150 °C

The Impact of China’s Carbon Emission Trading Policy on Green Total Factor Productivity – Influence Analysis Based on Super-EBM and Multiple Mediators

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