{"title":"How does intra-city spatial structure influence green economic efficiency? A nonlinear and spatial spillover perspective","authors":"Siqi Yan, Qun Wu","doi":"10.1016/j.habitatint.2025.103455","DOIUrl":null,"url":null,"abstract":"<div><div>There is an increasing interest among policymakers and planners worldwide to promote optimization of urban spatial structure (USS) through planning instruments, so as to generate more favorable environmental and economic outcomes. However, attention is mainly devoted to linear effect of USS on green economic efficiency (GEE) in previous research, and the potential nonlinear relationship has been relatively neglected. In addition, relatively few studies have examined spatial spillover impact of USS on GEE. This paper uses LandScan global population datasets to characterize USS, and investigates the nonlinear impacts of USS on GEE, spatial spillover effect and related mechanisms of influence, using spatial panel data models and data for the cities in the Yangtze River Economic Belt (YREB) in China. The results suggest that the impacts that extent of centralization and extent of polycentricity exert on GEE exhibits an inverted U-shaped pattern. USS exerts significant spatial spillover impacts on GEE in neighboring cities. The analysis of mechanisms of influence suggests that USS impacts on GEE by affecting the infrastructure level and the level of green innovation outputs. The findings have significant policy implications for facilitating optimization of USS and enhancing improvement in GEE.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"162 ","pages":"Article 103455"},"PeriodicalIF":6.5000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Habitat International","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0197397525001717","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
There is an increasing interest among policymakers and planners worldwide to promote optimization of urban spatial structure (USS) through planning instruments, so as to generate more favorable environmental and economic outcomes. However, attention is mainly devoted to linear effect of USS on green economic efficiency (GEE) in previous research, and the potential nonlinear relationship has been relatively neglected. In addition, relatively few studies have examined spatial spillover impact of USS on GEE. This paper uses LandScan global population datasets to characterize USS, and investigates the nonlinear impacts of USS on GEE, spatial spillover effect and related mechanisms of influence, using spatial panel data models and data for the cities in the Yangtze River Economic Belt (YREB) in China. The results suggest that the impacts that extent of centralization and extent of polycentricity exert on GEE exhibits an inverted U-shaped pattern. USS exerts significant spatial spillover impacts on GEE in neighboring cities. The analysis of mechanisms of influence suggests that USS impacts on GEE by affecting the infrastructure level and the level of green innovation outputs. The findings have significant policy implications for facilitating optimization of USS and enhancing improvement in GEE.
期刊介绍:
Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.