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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Social-Ecological Urban Systems

This article is part of the Research TopicTerritorial Transitions to Sustainability: Ground-Breaking Strategies Across Urban, Rural, and Regional ContextsView all articles

An empirical analysis of spatial effects and their driving factors in urban green development using spatial econometric models

Provisionally accepted
Congmei  HouCongmei Hou1*Yiming  MaYiming Ma2
  • 1Xuzhou Medical University, Xuzhou, China
  • 2Xuzhou Institute of Surveying and Mapping Co., Ltd., Xuzhou, Jiangsu Province, China

The final, formatted version of the article will be published soon.

Evaluation of the spatial effect of urban green development can provide spatial clues for solving urban governance problems. The existing research lacks an assessment of urban green development from the perspective of productivity. In this study, 285 cities in China from 2008 to 2020 were selected as research objects. An indicator system for urban green development was innovatively constructed from a productivity perspective. Meanwhile the spatial autocorrelation effects of its development under the adjacency relationship weight matrix (ARWM), geographical distance weight matrix (GDWM), and economic distance weight matrix (EDWM) were clarified. Spatial Durbin Models (SDM) partial differential method was used to decompose the spatial effects of the influencing factors of urban green development, and the spatial correlation effects and spatial spillover effects of urban green development were clarified. The findings reveal that: (1) From the perspective of spatial correlation, urban green development has global spatial autocorrelation, which indicates that the level of urban green development is affected by at least 13 % of cities with similar economic levels, 84 % by cities with close geographical distance, and 63 % by adjacent cities. (2) From the perspective of spatial spillover effect, urban green development has significant spatial spillover effect under ARWM and GDWM, specifically, the level of economic development under different spatial weight matrices has a significant spillover effect on urban green development. There are spillover effects on the impact of industrial structure, innovation level, infrastructure conditions, government intervention and foreign trade openness on urban green development under the influence of the ARWM. There is a significant spillover effect of environmental regulation on urban green development under the influence of EDWM.

Keywords: Urban green development, spatial effect, weight matrix, Driving factors, Spillover effect

Received: 12 Jul 2025; Accepted: 13 Nov 2025.

Copyright: © 2025 Hou and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Congmei Hou, congmeihou0303@126.com

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