中国资源型城市绿色转型的动力源泉及其驱动因素

Power Source and Driving Factors of Green Transformation of Resource-Based Cities in China

推进资源型城市绿色转型,是健全区域协调发展,补齐转型短板的重要议题。文章基于111个资源型城市样本,利用数据包络分析方法和分位数回归模型,揭示了2004—2019年中国资源型城市绿色转型的动力源泉及其驱动因素。结果表明:(1)整个样本时期,资源型城市绿色转型绩效累积增长0.33%。从分布区位看,南方资源型城市绿色转型绩效高于北方;从发展类型看,衰退型城市绿色转型绩效依次高于再生型、成熟型和成长型。(2)从内源视角看,技术进步成为推动资源型城市绿色转型绩效增长的动力源泉,并以环境污染治理技术改进的贡献最大。(3)从外源视角看,环境规制、产业结构等对不同地区以及不同类型资源型城市绿色转型绩效的影响大小和方向存在明显差异。其中,就业结构优化、金融发展对各分位数水平下资源型城市绿色转型绩效具有显著的促进作用。

Promoting the green transformation of resource-based cities is an important issue to improve the coordinated development of regions and make up for the shortcomings of transformation.Based on the samples of 1ll resource-based cities,this paper reveals the power source and driving factors of green transformation of resource-based cities in China from 2004 to 2019 using the methods of the data envelopment analysis and the quantile regression model.The results show that:1)The green transformation performance of resource-based cities increased cumulatively by 0.33%in 2004-2019.In terms of distribution location,the green transformation performance of resource-based cities in the south of China is higher than that in the north of China.With regards to development types,the green transformation performance of declining-type cities is higher than that of regenerative-type,mature-type,and growing-type cities.2)From the perspective of endogenous,technological progress has emerged as a catalyst for promoting growth in the performance of green transformation among resource-based cities,with environmental pollution treatment technology improvements making significant contributions.3)From the perspective of exogenous,there are notable variations in both size and direction regarding how environmental regulation and industrial structure impact the performance of green transformation across different regions and types of resource-based cities.Notably,employment structure optimization and financial development exert substantial positive effects on the green transformation performance of resource-based cities at each quantile level.