Greenhouse gas emission regulation and renewable energy promotion policies have been implemented in many countries.Yet these two kinds of regulation policies have complex interactions between each other,and can either...Greenhouse gas emission regulation and renewable energy promotion policies have been implemented in many countries.Yet these two kinds of regulation policies have complex interactions between each other,and can either enhance or reduce the overall emission reduction efficiency.If not well tuned,these regulation policies may deviate from their original intention and lead to unnecessary social cost.Hence,the policy effectiveness,cost effectiveness,and dynamic efficiency of different policy mixtures between emission trading and renewable energy subsidy are studied based on a novel dynamic simulation platform of power economy and power system.Simulation results show that these two kinds of regulation policy can coexist,but a good coordination between the emission trading and the renewable energy subsidy can achieve better emission reduction outcomes.展开更多
Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon e...Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation(Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a ‘club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of fact展开更多
随着环境污染加剧,我国减排形势日益严峻,但目前资源政策设计过度关注社会经济影响,较少涉及减排和环境福利,不利于生态文明建设和社会可持续发展.本文构建动态可计算一般均衡模型(dynamic computable general equilibrium,简称动态CGE...随着环境污染加剧,我国减排形势日益严峻,但目前资源政策设计过度关注社会经济影响,较少涉及减排和环境福利,不利于生态文明建设和社会可持续发展.本文构建动态可计算一般均衡模型(dynamic computable general equilibrium,简称动态CGE模型),以煤炭资源税改革为研究对象模拟资源政策调整的长期影响,分别采用煤炭资源税率调整和资源价值补偿政策场景,探索资源政策调整对促进减排和改善环境福利的作用.研究表明:总体而言,资源政策调整有利于促进减排和环境福利,但不同政策方案设计产生的影响差异性较大;煤炭资源税率提高会在一定程度上抑制资源消费,提高资源利用效率和人均资源盈余,降低环境损失;而资源价值补偿政策实施将对我国环境质量改善产生积极作用,可以有效提高环境福利;因此,在减排和环境福利综合视角下,煤炭资源税改革必须注重资源政策方案设计的协调性和完整性,才能有效发挥资源政策对环境系统的有效引导和激励作用.展开更多
基金This work was jointly supported by the Major Projects on Planning and Operation Control of Large Scale Grid,State Grid Corporation of China(SGCC-MPLG001-2012)State Grid EPRI Project(YS11002)the National Natural Science Foundation of China(91024028).
文摘Greenhouse gas emission regulation and renewable energy promotion policies have been implemented in many countries.Yet these two kinds of regulation policies have complex interactions between each other,and can either enhance or reduce the overall emission reduction efficiency.If not well tuned,these regulation policies may deviate from their original intention and lead to unnecessary social cost.Hence,the policy effectiveness,cost effectiveness,and dynamic efficiency of different policy mixtures between emission trading and renewable energy subsidy are studied based on a novel dynamic simulation platform of power economy and power system.Simulation results show that these two kinds of regulation policy can coexist,but a good coordination between the emission trading and the renewable energy subsidy can achieve better emission reduction outcomes.
基金National Natural Science Foundation of China,No.41601151Guangdong Natural Science Foundation,No.2016A030310149
文摘Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation(Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a ‘club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of fact
文摘随着环境污染加剧,我国减排形势日益严峻,但目前资源政策设计过度关注社会经济影响,较少涉及减排和环境福利,不利于生态文明建设和社会可持续发展.本文构建动态可计算一般均衡模型(dynamic computable general equilibrium,简称动态CGE模型),以煤炭资源税改革为研究对象模拟资源政策调整的长期影响,分别采用煤炭资源税率调整和资源价值补偿政策场景,探索资源政策调整对促进减排和改善环境福利的作用.研究表明:总体而言,资源政策调整有利于促进减排和环境福利,但不同政策方案设计产生的影响差异性较大;煤炭资源税率提高会在一定程度上抑制资源消费,提高资源利用效率和人均资源盈余,降低环境损失;而资源价值补偿政策实施将对我国环境质量改善产生积极作用,可以有效提高环境福利;因此,在减排和环境福利综合视角下,煤炭资源税改革必须注重资源政策方案设计的协调性和完整性,才能有效发挥资源政策对环境系统的有效引导和激励作用.
