| 中国减污降碳协同效应时空特征与影响因素 |
| 摘要点击 5375 全文点击 860 投稿时间：2023-08-13 修订日期：2023-12-25 |
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| 中文关键词 减污降碳 时空特征 固定效应回归 影响机制 调节效应 |
| 英文关键词 pollution and carbon emission reduction spatio-temporal characteristic fixed effects regression influencing mechanism moderating effect |
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| 中文摘要 |
| 运用耦合协调模型计算碳减排与大气污染控制系统的耦合协调度,分析减污降碳协同效应在全国、 区域和省域层面的时空分布特征；采用2006~2020年省级面板数据构建固定效应模型,对各层面的减污降碳协同效应的影响因素进行研究,引入研发经费投入强度作为调节变量,构建调节效应模型对减污降碳协同效应的影响机制进行进一步探究. 结果表明：①碳排放与大气污染排放存在协同效应,2006~2020年我国减污降碳协同效应演变呈现倒“U”型趋势,且减污降碳协同存在空间聚集性以及空间溢出效应；②我国减污降碳协同治理水平较低,各省份和区域在减污降碳协同治理水平上存在发展不平衡的特点,协调度呈现出东部地区、 中部地区和西部地区依次递减的特征；③从全国层面来看,能源消费结构、 人均GDP以及环保投资占比是减污降碳协同效应的主要影响因素；产业结构、 能源消费结构、 能源利用效率、 人均GDP、 城镇化率、 环保投资占比以及交通运输结构对减污降碳系统效应的影响在中、 东、 西部地区间存在异质性；④研发投入强度在东、 中部均起到显著的调节效应,但在西部地区未识别出显著的调节效应. 在东部地区,城镇化率、 环保投资占比和交通运输结构无法单独对减污降碳协同效应产生影响,要与研发投入强度相配合能够对减污降碳协同效应产生显著影响. |
| 英文摘要 |
| 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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