Investigating the Impact of Carbon Emission Trading on Urban Carbon Emissions in China

Tang, Kai; Liu, Yichun

doi:10.1007/978-981-19-5562-4_7

Cited by 4 publications

(4 citation statements)

References 71 publications

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“…Firstly, some recent studies employing the Propensity Score Matching-Difference-In-Differences (PSM-DID) approach have evaluated urban carbon reduction. The results indicate that CCETE has achieved a significant reduction in ETS pilot cities’ carbon intensity [ 64 , 65 , 66 , 67 , 68 ]. For example, the energy intensity of Hubei ETS has decreased by 4.89% between 2014 and 2017 [ 67 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, in 2014, the first year of trading in Hubei ETS, Hubei’s GDP fell by about 0.06%, or about $1.48 billion, and 88.09% of the industries involved in the transaction were negatively affected [ 69 ]. However, recent studies have argued that the negative impact is limited and still positive for sustainable urbanization [ 66 , 67 , 68 , 69 ].…”

Section: Literature Reviewmentioning

confidence: 99%

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The Roles of Carbon Trading System and Sustainable Energy Strategies in Reducing Carbon Emissions—An Empirical Study in China with Panel Data

2023

IJERPH

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Carbon emission reduction is now a vital element in urban development. This study explores the effectiveness of the two emerging methods to reduce carbon emission, which are carbon emissions trading system (ETS) and sustainable energy strategy, in the process of urbanization. We review the policy in the past decades to demonstrate the development of these two streams of carbon emission reduction methods and empirically test the effectiveness of the two methods with panel data across 30 provinces in China from 2009 to 2019. The sustainable energy strategy is confirmed to be effective in reducing carbon emissions in the region, while the effectiveness of carbon emissions trading system varies. We find that (1) substituting fossil fuel with other sustainable energy resources can effectively reduce the carbon emission; (2) the rewards from carbon emissions trading is a good incentive for the enterprises to reduce the carbon emissions; however, it is more tempting in the provinces that have the carbon emissions trading system, although the trading can be conducted across the province boarder. Our findings indicate that the sustainable energy strategy is a good practice and worth expanding to the whole country. It can be difficult for some provinces to transform and adopt the sustainable energy strategy if the fossil fuel is the major source for economic production. It is important to avoid setting fossil fuel as the main source for economic production or household consumption in the urbanization process. Meanwhile the carbon emissions trading system is found to contribute to CO2 emissions reduction only within the province. Therefore, having more provinces piloting the ETS will help the CO2 emission reduction further.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The Roles of Carbon Trading System and Sustainable Energy Strategies in Reducing Carbon Emissions—An Empirical Study in China with Panel Data

2023

IJERPH

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“…Moreover, the development of the digital economy has diversified business operations and created more flexible forms of employment, which can attract high-skilled labor and high-quality innovation. In principle, capital promotes the accumulation of urban talents and industries, significantly affects scale and economic agglomeration, and promotes alterations in the urban employment structure [ 17 ]. Second, as a primary factor of production, the continuous development and management of data will promote the structural transformation of urban industries and services.…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

Can digital economy improve employment structure?—Mediating effect based on a spatial Durbin model

Lu,

Zhou

2023

PLoS ONE

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Based on the panel data of 283 prefecture-level cities in China from 2011 to 2019, this study constructed an index measurement system of digital economy, economic agglomeration, innovation and entrepreneurship, and employment structure. The index of digital economy was developed by entropy weight method, and the double-fixed spatial Durbin model was constructed based on the intermediary effect from the spatial perspective to determine the direct effect, indirect effect, and total effect of the digital economy, economic agglomeration degree, and innovation and entrepreneurship on employment structure. The results indicated a significant spatial correlation between the three aspects, i.e., digital economy can significantly optimize the employment structure, with an evident spillover effect. The mechanism analysis revealed that the level of innovation and entrepreneurship poses a stronger intermediary effect than the degree of economic agglomeration, and the digital economy in the eastern region directly impacts the urban employment structure; however, the influence of digital economy on the employment structure is significantly higher in small- and medium-sized cities than in large-sized cities.

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“…Due to rapid economic development and the increase in the traditional high-carbon energy consumption, China has become the world's largest carbon emitter, accounting for about 34% of the world's carbon emissions in 2021. Under the constraints of the carbon neutrality goal of carbon peaking, China expects its carbon emissions to peak before 2030, and relevant studies predict that the peak of carbon emissions will be about 10.5-11 billion tons of carbon dioxide [1,2]. To effectively cope with the growth of carbon emissions, China has adopted market-based trading methods, such as carbon emissions rights trading.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Carbon Emissions Trading on the Total Factor Productivity of China’s Electric Power Enterprises—An Empirical Analysis Based on the Differences-in-Differences Model

Chen,

Hu,

Xiang

et al. 2024

Sustainability

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Based on the panel data of China’s listed electric power enterprises, this paper adopts the differences-in-differences model to empirically analyze the pilot policy of carbon emissions trading’s impact on the total factor productivity of power enterprises in 2013. The study finds that the carbon trading pilot policy has a significant positive effect on the total factor productivity of power companies, and the two possible impact mechanisms are external cost compensation and additional income, and internal low-carbon technology innovation and resource allocation optimization. The conclusions above have been further confirmed by the parallel trend test and robustness test. The heterogeneity analysis demonstrates that there are differences in the regression results between state-owned enterprises and nonstate-owned enterprises. The possible reason is that state-owned enterprises are more likely to be affected by the carbon emissions trading system, and their asset-heavy model puts greater pressure on carbon emission reduction. Therefore, their demand for low-carbon technology innovation is more urgent; areas with stricter carbon emission verification are more sensitive to the implementation of carbon trading, and a reasonable increase in carbon verification can make the carbon trading market more effective. Based on the research results, this paper proposes to speed up the improvement of the national carbon trading market system, enhance the diversity and richness of the main market, improve the liquidity of the carbon trading market, broaden financing channels for electric power enterprises, and improve the carbon market supervision mechanism.

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Investigating the Impact of Carbon Emission Trading on Urban Carbon Emissions in China

Cited by 4 publications

References 71 publications

The Roles of Carbon Trading System and Sustainable Energy Strategies in Reducing Carbon Emissions—An Empirical Study in China with Panel Data

The Roles of Carbon Trading System and Sustainable Energy Strategies in Reducing Carbon Emissions—An Empirical Study in China with Panel Data

Can digital economy improve employment structure?—Mediating effect based on a spatial Durbin model

The Impact of Carbon Emissions Trading on the Total Factor Productivity of China’s Electric Power Enterprises—An Empirical Analysis Based on the Differences-in-Differences Model

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