Study on the relationship between fossil energy consumption and carbon emission in Sichuan Province

Li, Wenjing; Xiaozhong, Yu; Hu, Nan; Fan, Huang; Wang, Jing; Peng, Qingnan

doi:10.1016/j.egyr.2022.01.112

Cited by 45 publications

(17 citation statements)

References 8 publications

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“…Oil consumption in the transportation sector accounts for 38.2% of the total oil demand, significantly increasing CO 2 emissions [ 5 ]. In the case of Sichuan Province, due to the optimization of the energy structure, the use of clean energy is being paid more and more attention due to its emission reduction efficiency [ 6 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Wang

Tong

2022

IJERPH

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Based on STIRPAT and panel threshold models, this study empirically tested the impact of Internet development on carbon emissions using panel data of Jiangsu Province from 2007 to 2020. The results showed that the carbon emissions intensity of the Internet development level had a significant promotion effect, while the carbon emissions intensity of technological progress showed a significant inhibition effect, but this inhibition effect is less than the promotion effect brought about by internet development. Considering the threshold effect, the development of the Internet had a double-threshold effect on carbon emissions in northern and central Jiangsu. Jiangsu Province should further accelerate the pace of Internet development and cross the threshold value as soon as possible. Finally, this study constructed a prediction model of emissions reduction to predict the future emissions reduction potential of Jiangsu Province and found that there was still much room for improvement regarding carbon emissions reduction in Jiangsu Province.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Wang

Tong

2022

IJERPH

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“…With the continuous development and progress of the economy, the environmental problems caused by carbon dioxide emissions have received more and more attention and discussion [ 1 , 2 , 3 , 4 , 5 ]. In September 2020, China clearly put forward the dual-carbon goal, striving to reach the peak of carbon dioxide emissions by 2030 [ 6 ] and strive to achieve carbon neutrality by 2060 [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of Carbon Emission Reduction between Government and Enterprises under Carbon Quota Trading Policy

Chen

Liu

2022

IJERPH

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As one of the most efficient means of emission reduction policies, carbon quota trading has a far-reaching impact on the carbon emission reduction of enterprises. Firstly, a two-party evolutionary game model of enterprise and government and a three-party evolutionary game model of enterprise–enterprise–government are constructed based on the multi-agent driving mechanism, evolutionary game theory, scenario simulation, and other methods. Then, we conduct a series of policy simulations for carbon emission under different scenario models and various enforcement strengths. Lastly, the behavioral strategies and system evolution trajectories in enterprises and government carbon trading are comprehensively investigated. The results show that in the two-party and three-party evolutionary game models, the carbon trading behavior is affected by the joint action of the enterprise and the government. The difference in initial willingness mainly affects the speed of the subject’s convergence to the steady state. Based on this, policy suggestions are proposed, such as reducing the cost of carbon emission of enterprises, enhancing the vitality of carbon emission reduction of enterprises, and stimulating the power of government regulation and responsibility performance, which can provide suggestions for the development of the carbon market.

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“…These studies on drivers mainly used the econometric method to decompose the driving factors simply and the investigation of differences in the effects of drivers by spatial location was inadequate. CO2 emissions, as an atmospheric resource, are changeable in different geographical locations [43] and the effects of CO2 emissions correspondingly vary at proposed the "coal-gas transition balance theory" to discuss the impact of fossil energy consumption transition on CO 2 emissions [49]. However, existing studies on CO 2 emissions reduction and energy transition are rarely conducted in the residential sector.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al applied the decoupling index model and decomposition approach to understanding the effects of energy transition on the decoupling of economic growth from CO 2 emission growth [48]. Li et alproposed the "coal-gas transition balance theory" to discuss the impact of fossil energy consumption transition on CO 2 emissions[49]. However, existing studies on CO 2 emissions reduction and energy transition are rarely conducted in the residential sector.…”

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confidence: 99%

Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically Weighted Regression

Sun

Jia

et al. 2022

Land

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As China’s second largest energy-use sector, residential consumption has a great potential for carbon dioxide (CO2) reduction and energy saving or transition. Thus, here, using the methods of social network analysis (SNA) and geographically weighted regression (GWR), we investigated the spatiotemporal evolution characteristics of China’s residential CO2 emissions (RCEs) from direct energy use and proposed some policy suggestions for regional energy transition. (1) From 2000 to 2019, the total direct RCEs rose from 396.32 Mt to 1411.69 Mt; the consumption of electricity and coal were the primary sources. Controlling coal consumption and increasing the proportion of electricity generated from renewable energy should be the effective way of energy transition. (2) The spatial associations of direct RCEs show an obvious spatial network structure and the number of associations is increasing. Provinces with a higher level of economic development (Beijing, Shanghai, and Jiangsu) were at the center of the network and classified as the net beneficiary cluster in 2019. These provinces should be the priority areas of energy transition. (3) The net spillover cluster (Yunnan, Shanxi, Xinjiang, Gansu, Qinghai, Guizhou) is an important area to develop clean energy. People in this cluster should be encouraged to use more renewable energy. (4) GDP and per capita energy consumption had a significant positive influence on the growth of direct RCEs. Therefore, the national economy should grow healthily and sustainably to provide a favorable economic environment for energy transition. Meanwhile, residential consumption patterns should be greener to promote the use of clean energy.

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Study on the relationship between fossil energy consumption and carbon emission in Sichuan Province

Cited by 45 publications

References 8 publications

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Evolutionary Game Analysis of Carbon Emission Reduction between Government and Enterprises under Carbon Quota Trading Policy

Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically Weighted Regression

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