[中国污染减排与碳减排协同效应的时空特征及影响因素]。

Q2 Environmental Science
Ya-Nan Wang, Bing-Xun Li, Yi-Xin Zhang, Ying Zhao, Cheng-Kai Miao, Jia-Qi An
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引用次数: 0

摘要

在利用耦合协调模型计算碳排放与污染物控制耦合协调度的基础上,进一步分析了中国污染控制与碳减排协同效应的国家、区域和省级时空特征,为识别关键领域提供了帮助。利用固定效应回归模型和 2006 年至 2020 年的省级面板数据,探讨了促进中国更好地实现污染减排与碳减排协同的因素。在此基础上,引入研发投入强度这一调节变量,构建调节效应模型,进一步探讨污染减排与碳减排协同效应的影响机制。结果表明:碳减排与大气污染防治体系之间存在协同效应,2006-2020年中国污染减排与碳减排协同效应的演变呈现倒 "U "型趋势,污染减排与碳减排存在空间聚集和空间溢出效应。碳排放与污染物控制的协同治理仍处于较低水平。碳排放与大气污染物排放体系仍处于不稳定、不协调的状态。结果表明: 中国东部、中部、西部的协调程度依次下降。从全国层面看,能源消费结构、人均 GDP 和绿色投资比重是影响污染减排与碳协同效应的主要因素。中部、东部和西部地区在产业结构、能源消费结构、能源利用效率、人均 GDP、城镇化率、绿色投资比重和交通结构等方面的影响因素存在异质性。研发强度在全国、东部和中部地区具有显著的调节作用。但是,西部地区没有发现明显的调节作用。在东部地区,城市化率、绿色投资比例和交通结构不能单独对污染减排和碳减排的协同效应产生显著影响,必须与研发强度相协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Spatiotemporal Characteristics and Influencing Factors of the Synergistic Effect of Pollution Reduction and Carbon Reduction in China].

Based on the use of the coupling coordination model to calculate the coupling coordination degree of carbon emission and pollutant control, the national, regional, and provincial spatiotemporal characteristics of the synergistic effect of pollution control and carbon emissions reduction in China were further analyzed, facilitating the crucial to identification of key areas. The fixed effects regression models and provincial panel data from 2006 to 2020 were used to explore factors contributing to better synergizing the reduction of pollution and carbon emissions in China. On this basis, the adjustment variable of R&D investment intensity was introduced, and the regulation effect model was constructed to further explore the influence mechanism of the synergistic effect of pollution reduction and carbon reduction. The results showed that: synergy exists between carbon emission reduction and the air pollution control system, the evolution of the synergistic effect of pollution reduction and carbon reduction in China presented an inverted "U"-shaped trend from 2006 to 2020, and there was spatial aggregation and a spatial spillover effect in pollution reduction and carbon reduction. The synergistic governance of carbon emission and pollutant control was still at a relatively low level. The carbon emission and air pollutant emission systems were still in an unstable and uncoordinated state. The results showed that: The degree of coordination of eastern China, central China, and western China decreased in turn. At the national level, energy consumption structure, per capita GDP, and the proportion of green investment were the main factors affecting the synergistic effect of pollution reduction and carbon. The heterogeneity of the influencing factors existed in the central, eastern, and western regions on industrial structure, energy consumption structure, energy utilization efficiency, per capita GDP, urbanization rate, the proportion of green investment, and transportation structure. The intensity of R&D played a significant moderating effect in the whole country, eastern, and central regions. However, no significant moderating effect was identified in the western region. In the eastern region, the urbanization rate, the proportion of green investment, and the transportation structure could not have a significant effect on the synergistic effect of pollution reduction and carbon reduction alone, and it must be coordinated with the intensity of R&D.

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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
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