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Currently, I am mainly engaged in research on the carbon trading market
Although the emission reduction and innovation effects of carbon emissions trading have attracted considerable interest among academics and policy makers, there is a lack of empirical research on how carbon trading pilots in China promote regional green innovation. Therefore, we measured the green innovation efficiency of 30 provinces and cities in mainland China from 2005 to 2018, using selected panel data within a super-efficient SBM model that incorporated undesirable outputs. We used a double differential model to evaluate the impacts of carbon trading policies on the green innovation efficiency of seven carbon trading pilot regions. These impacts were confirmed using the double differential propensity score matching method. Our findings were as follows. (1) The implementation of carbon trading policies has a significant and continuous effect of promoting and improving green innovation efficiency in the pilot areas. (2) Carbon trading induces technological innovation effects, enabling green innovation potential to be realized. Regional green innovation efficiency is further improved through energy substitution and structural upgrading effects and subsequently through all three of the above effects. (3) The synergy between the three major effects of carbon trading policies amplifies regional green innovation efficiency. Therefore, the Chinese government should accelerate its efforts to develop and improve carbon markets, promote carbon trading policies, and actively foster synergy among the three effects to achieve green and sustainable regional development.
Baoliu Liu; Zhenqing Sun; Huanhuan Li. Can Carbon Trading Policies Promote Regional Green Innovation Efficiency? Empirical Data from Pilot Regions in China. Sustainability 2021, 13, 2891 .
AMA StyleBaoliu Liu, Zhenqing Sun, Huanhuan Li. Can Carbon Trading Policies Promote Regional Green Innovation Efficiency? Empirical Data from Pilot Regions in China. Sustainability. 2021; 13 (5):2891.
Chicago/Turabian StyleBaoliu Liu; Zhenqing Sun; Huanhuan Li. 2021. "Can Carbon Trading Policies Promote Regional Green Innovation Efficiency? Empirical Data from Pilot Regions in China." Sustainability 13, no. 5: 2891.
Taking the system dynamics model as the modeling technology and Tianjin as the research area, the DPSIR analysis framework is used to construct the Tianjin green development system innovation and policy simulation model. The model consists of three subsystems, including the economic population subsystem, the resource energy subsystem, and the environmental assessment subsystem. This study designed three policy scenarios, namely, the extensive-adjustment policy scenario, the economic transition priority policy scenario, and the pollution governance priority policy scenario. Taking the data of Tianjin City in 2018 as a reference sample, the simulation results of the city from 2020 to 2035 were obtained. The simulation results show that in the aspect of economic aggregate growth and urbanization, the economic transformation priority policy scenario is optimal; in terms of energy supply, all three scenarios show a negative effect; in the aspect of air pollution control, the pollution control priority policy scenario is optimal. In terms of carbon emissions and water pollution control, the economic transformation priority policy scenario is the best. According to the simulation results, this paper puts forward corresponding policy recommendations for the reference of Tianjin green development system innovation.
Yan Li; Zhenqing Sun. Green development system innovation and policy simulation in Tianjin based on system dynamics model. Human and Ecological Risk Assessment: An International Journal 2020, 27, 773 -789.
AMA StyleYan Li, Zhenqing Sun. Green development system innovation and policy simulation in Tianjin based on system dynamics model. Human and Ecological Risk Assessment: An International Journal. 2020; 27 (3):773-789.
Chicago/Turabian StyleYan Li; Zhenqing Sun. 2020. "Green development system innovation and policy simulation in Tianjin based on system dynamics model." Human and Ecological Risk Assessment: An International Journal 27, no. 3: 773-789.
CO2 emission resulted from fossil energy use is threatening human sustainability globally. This study focuses on the low-carbon transition of Hebei’s coal-dominated energy system by estimating its total end-use energy consumption, primary energy supply and resultant CO2 emission up to 2030, by employing an energy demand analysis model based on setting of the economic growth rate, industrial structure, industry/sector energy consumption intensity, energy supply structure, and CO2 emission factor. It is found that the total primary energy consumption in Hebei will be 471 and 431 million tons of coal equivalent (tce) in 2030 in our two defined scenarios (conventional development scenario and coordinated development scenario), which are 1.40 and 1.28 times of the level in 2015, respectively. The resultant full-chain CO2 emission will be 1027 and 916 million tons in 2030 in the two scenarios, which are 1.24 and 1.10 times of the level in 2015, respectively. The full-chain CO2 emission will peak in about 2025. It is found that the coal-dominated situation of energy structure and CO2 emission increasing trend in Hebei can be changed in the future in the coordinated development scenario, in which Beijing-Tianjin-Hebei area coordinated development strategy will be strengthened. The energy structure of Hebei can be optimised since the proportion of coal in total primary energy consumption can fall from around 80% in 2015 to below 30% in 2030 and the proportions of transferred electricity, natural gas, nuclear energy and renewable energy can increase rapidly. Some specific additional policy instruments are also suggested to support the low-carbon transition of energy system in Hebei under the framework of the coordinated development of Beijing-Tianjin-Hebei area, and with the support from the central government of China.
Xunmin Ou; Zhiyi Yuan; Tianduo Peng; Zhenqing Sun; Sheng Zhou. The Low-Carbon Transition toward Sustainability of Regional Coal-Dominated Energy Consumption Structure: A Case of Hebei Province in China. Sustainability 2017, 9, 1184 .
AMA StyleXunmin Ou, Zhiyi Yuan, Tianduo Peng, Zhenqing Sun, Sheng Zhou. The Low-Carbon Transition toward Sustainability of Regional Coal-Dominated Energy Consumption Structure: A Case of Hebei Province in China. Sustainability. 2017; 9 (7):1184.
Chicago/Turabian StyleXunmin Ou; Zhiyi Yuan; Tianduo Peng; Zhenqing Sun; Sheng Zhou. 2017. "The Low-Carbon Transition toward Sustainability of Regional Coal-Dominated Energy Consumption Structure: A Case of Hebei Province in China." Sustainability 9, no. 7: 1184.