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中国城市群绿色发展效率的演化特征及影响机制:以长江三角洲城市群为例

Evolutionary characteristics and influencing mechanisms of green development efficiency in Chinese urban agglomerations: Analysis of the Yangtze River Delta urban agglomeration.

作者信息

Guo Yu, Tong Zihao, Wang Zhenbo, Xu Zhenghui, Yao Yifeng

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

School of Geographical Science, Nanjing Normal University, Nanjing, 210023, China.

出版信息

J Environ Manage. 2025 Feb;375:124236. doi: 10.1016/j.jenvman.2025.124236. Epub 2025 Jan 24.

Abstract

Urban agglomerations are central to global economic growth and the shift towards green development, particularly in developing countries. This study examines regional comparisons and variations in green development mechanisms within urban agglomerations to better understand their spatiotemporal patterns. An input-output indicator system was developed, accounting for social benefits and carbon emissions. Using the Yangtze River Delta urban agglomeration (YRDUA) as a case, this study measured green development efficiency (GDE) from 2003 to 2022 with the SBM-Undesirable model. It also employed the coefficient of variation (CV) method and Markov chain model to analyze the spatiotemporal variability and dynamic transformation law of GDE. Additionally, a panel quantile regression model was used to identify the dynamic response of key controlling factors, based on the GDE stages of each city. The findings reveal: (1) Cities in the central YRDUA area have higher GDE levels compared to those in non-central areas, with increasing disparity over time. (2) The green development level of a city influences its neighbors, enhancing or degrading their GDE stability and type. (3) Economic growth, foreign direct investment, industrial structure, and technological innovation significantly impact YRDUA's GDE. (4) In cities with low green development, economic growth strongly promotes GDE, while government regulation most restricts it. In medium-level cities, industrial structure advancements have the largest promotional effect, whereas technological innovation is the most limiting factor. In high-level cities, foreign investment intensity is the main inhibitor, while government regulation supports GDE. Marketization and environmental regulation effects on GDE remain consistent across different city levels. These findings provide targeted guidance for the green transition of urban agglomerations in China and other developing nations.

摘要

城市群对于全球经济增长以及向绿色发展的转变至关重要,在发展中国家尤为如此。本研究考察城市群内部绿色发展机制的区域比较和差异,以更好地理解其时空格局。构建了一个考虑社会效益和碳排放的投入产出指标体系。以长江三角洲城市群(YRDUA)为例,本研究运用SBM - 非期望模型测度了2003年至2022年的绿色发展效率(GDE)。还采用变异系数(CV)法和马尔可夫链模型分析了GDE的时空变异性和动态转换规律。此外,基于各城市的GDE阶段,使用面板分位数回归模型识别关键控制因素的动态响应。研究结果表明:(1)与非中心区域相比,YRDUA中心区域的城市具有更高的GDE水平,且随着时间推移差距不断扩大。(2)一个城市的绿色发展水平会影响其周边城市,增强或降低它们的GDE稳定性和类型。(3)经济增长、外国直接投资、产业结构和技术创新对YRDUA的GDE有显著影响。(4)在绿色发展水平较低的城市,经济增长对GDE有强烈的促进作用,而政府监管对其限制最大。在中等水平的城市,产业结构升级的促进作用最大,而技术创新是最主要限制因素。在高水平城市,外资强度是主要抑制因素,而政府监管支持GDE。市场化和环境监管对GDE的影响在不同城市水平上保持一致。这些研究结果为中国及其他发展中国家城市群的绿色转型提供了有针对性的指导。

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