School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, China.
Environ Sci Pollut Res Int. 2023 Jul;30(35):83888-83902. doi: 10.1007/s11356-023-28321-2. Epub 2023 Jun 23.
This paper takes the panel data of 283 prefecture-level cities in China from 2011 to 2020 as the research sample, measures the comprehensive index of industrial structure optimization and air quality by using GRA-TOPSIS comprehensive evaluation method, explores the spatial and temporal divergence characteristics of industrial structure optimization and air quality and the spatial and temporal evolution pattern of coupled and coordinated development by using ArcGIS spatial analysis and coupled coordination degree model, and analyzes the driving factors of coupled coordination degree of industrial structure optimization and air quality by combining multi-scale geographically weighted regression model. The study found the following: (1) The overall level of China's urban industrial structure is low, and shows an obvious eastern > central > western decreasing trend; urban air quality has a strong spatial clustering and spatial locking effect. (2) During the study period, the coupling coordination degree of industrial structure optimization and air quality showed an inverted "W" shape fluctuation from 2011 to 2020. The coupling degree and coupling coordination degree in 2020 were both higher than that in 2011, and most cities were in the run-in stage and moderate coordination stage. (3) There is a consistency in the temporal evolution trend and spatial evolution pattern of industrial structure optimization and air quality coupling degree and coupling coordination degree. (4) The driving factors are ranked according to the scale of action: public transportation intensity > population density > government intervention > GDP per capita > industrialization level. At present, China is in a critical period of promoting high-quality development by ecological civilization, and it is recommended to optimize regional industrial structure, improve urban air quality, and promote coordinated urban development.
本文以 2011—2020 年中国 283 个地级市面板数据为研究样本，运用 GRA-TOPSIS 综合评价法测度了产业结构优化与空气质量的综合指数，借助 ArcGIS 空间分析与耦合协调度模型，探讨了产业结构优化与空气质量的时空分异特征及时空演变格局，并结合多尺度地理加权回归模型分析了产业结构优化与空气质量耦合协调度的驱动因素。研究发现：（1）中国城市产业结构整体水平偏低，呈现出明显的东部>中部>西部递减态势；城市空气质量具有较强的空间集聚与空间锁定效应。（2）研究期间，产业结构优化与空气质量耦合协调度呈 2011—2020 年倒“W”型波动，2020 年的耦合度与耦合协调度均高于 2011 年，且多数城市处于磨合阶段和中度协调阶段。（3）产业结构优化与空气质量耦合度和耦合协调度的时空演变趋势与格局具有一致性。（4）驱动因素按照作用尺度进行排序：公共交通强度>人口密度>政府干预>人均 GDP>工业化水平。当前，中国正处于以生态文明建设推动高质量发展的关键时期，建议优化区域产业结构，提升城市空气质量，促进协同型城市发展。
