中国建筑业减污降碳协同效应的空间收敛性及驱动因素分析

Analysis of Spatial Convergence and Driving Factors of Synergistic Effects of Pollution and Carbon Reduction in China′s Construction Industry

  • 摘要: 建筑业减污降碳协同增效对中国有序实现“双碳”目标具有重要的理论价值和现实意义。为了厘清减污降碳协同效应的时空格局与影响路径,基于2012—2022年中国30个省份面板数据(不包括西藏自治区和港澳台地区数据),构建了建筑业减污降碳协同效应评价指标体系,利用耦合协调度模型、空间收敛模型和时空地理加权回归模型,分析了建筑业减污降碳协同效应的时空演变特征、收敛趋势及其驱动因素。结果表明:① 2012—2022年,中国建筑业减污降碳耦合协调水平持续提升,从勉强协调阶段逐渐过渡到中级协调阶段,处于中级协调阶段的省份数量占比由10%升至20%。东南沿海经济发达省份的协同水平高于其他地区,北京市和江苏省始终保持在中级协调阶段。② 2012—2022年建筑业减污降碳协同效应呈现出明显的空间收敛趋势,以5.7%的年均速度逐渐趋于稳定状态并呈现空间溢出特征。③ 建筑业碳排放总量、碳排放密度、碳排放强度、能源消耗量、经济发展水平以及污染治理投资额是影响建筑业减污降碳协同效应的核心驱动因素。研究显示,建筑业减污降碳协同效应逐渐增强,区域差异趋于缩小,各影响因素表现显著的空间异质性。因此,建议统筹制定多维减污降碳协同治理政策,充分发挥北京市和江苏省的引领作用,进一步推动建筑业绿色高质量发展。

     

    Abstract: The increasing synergistic effects of pollution and carbon reduction in the construction industry play a significant role in achieving the ‘dual carbon’ goals. In order to explore the spatiotemporal pattern and driving force of the synergistic effects of pollution and carbon reduction, based on the panel data of 30 provinces in China during 2012-2022 (excluding the data of Xizang Autonomous Region, Hong Kong, Macau and Taiwan), this paper established an evaluation index system for the synergistic effects of the construction industry. Introducing the coupling coordination degree model, the spatial convergence model, and the spatiotemporal geographically weighted regression model, this study analyzed the spatiotemporal evolution, convergence trends, and driving factors of the synergistic effects. The results show that: (1) During 2012-2022, the coupling coordination level of pollution and carbon reduction in China′s construction industry continuously increased, gradually transiting from the reluctant coordination stage to the intermediate coordsination stage. The proportion of provinces in the intermediate coordination stage increased from 10% to 20%. The coordination levels in the economically developed provinces in the southeast coastal region were higher than in other regions, with Beijing and Jiangsu remaining in the intermediate coordination stage. (2) In this period, the synergistic effects exhibited a clear spatial convergence trend, gradually stabilizing at an average annual rate of 5.7%, and exhibited spatial spillover characteristics. (3) The synergistic effects were mainly determined by factors, such as total carbon emissions, carbon emission density, carbon emission intensity, energy consumption, economic development level, and investment in pollution control. The research results indicate that the synergistic effects is increasing, with regional disparities narrowing, and the associated driving factors display the significant spatial heterogeneity. Hence, we should develop integrated policies for coordinated pollution and carbon reduction, play the leadership of Beijing and Jiangsu, and drive the green and high-quality development of the construction industry.

     

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