Exploring the dynamic spatial spillover and nonlinear threshold effect of urbanization on urban green development efficiency in China

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2025-05-12 DOI:10.1016/j.ecolind.2025.113570

Guimei Wang , Muhammad Salman , Kuangwei Zhang

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引用次数: 0

Abstract

Non-oriented super-efficiency undesirable-EBM model is used to measure green development efficiency (GDE) of 283 cities in China during 2006–2019. The dynamic spatial Durbin model and dynamic panel threshold model are adopted to analyze characteristics of urbanization on GDE. The results show that urbanization promotes local GDE, while inhibits surrounding GDE. When urbanization is over 0.677, promotes GDE. From heterogeneous analysis, urbanization promotes surrounding GDE in small cities, while inhibits surrounding GDE and promotes local GDE in large and medium-sized cities and megacities. Urbanization inhibits local and surrounding GDE in non-resource-based cities. In eastern region, urbanization inhibits surrounding GDE, while promotes surrounding GDE in central region. From dynamic threshold effect, urbanization promotes GDE in large and medium-sized cities, megacities, resource-based cities, non-resource-based cities, eastern and central regions, inhibits GDE in western region.

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中国城市化对城市绿色发展效率的动态空间溢出和非线性阈值效应研究

采用非定向超效率不良- ebm模型对2006-2019年中国283个城市的绿色发展效率进行了测度。采用动态空间Durbin模型和动态面板阈值模型对GDE上的城市化特征进行分析。结果表明，城市化促进了局部GDE，抑制了周边GDE。当城市化水平大于0.677时，促进GDE的发展。从异质性分析来看，城市化在小城市促进周边GDE，在大中城市和特大城市抑制周边GDE，促进局部GDE。城市化抑制了非资源型城市的本地和周边GDE。东部地区城市化抑制周边GDE，中部地区城市化促进周边GDE。从动态阈值效应看，城市化对大中城市、特大城市、资源型城市、非资源型城市、东部和中部地区的GDE有促进作用，对西部地区的GDE有抑制作用。

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.