Urban sprawl and environmentally sensitive productivity: Is urban sprawl a green spread?

IF 5.5 2区经济学 Q1 ECONOMICS

Structural Change and Economic Dynamics Pub Date : 2025-06-20 DOI:10.1016/j.strueco.2025.06.011

Meiting Fan , Kaili Ma , Shuai Shao , Hui Wang , Ying Zhang

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引用次数: 0

Abstract

Urban sprawl often occurs during the process of urbanization. This paper uses environmentally sensitive total factor productivity (ETFP) growth to characterize economic-environmental coordination, and investigates how urban sprawl shapes ETFP growth by combining macro-level and micro-level data from China during 2001‒2019. Employing a modified Data Envelope Analysis (DEA) model to calculate ETFP growth, we find that urban sprawl has an inverted U-shaped effect on ETFP growth. The negative effect of urban sprawl on ETFP growth is more pronounced in developed cities, tertiary-industry-oriented cities, and cities with slow urban population growth, low road densities, and a high dependence on land finance. The inverted U-shaped impact of urban sprawl on ETFP growth stems from the nonlinear effects of urban sprawl on technological innovation and energy efficiency. To balance economic growth and environmental protection, it is suggested to foster compact urbanization through urban renewal and enhancing the economic density of sub-centers.

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城市扩张与环境敏感性生产力：城市扩张是一种绿色扩张吗？

城市蔓延是城市化进程中经常发生的现象。本文利用环境敏感型全要素生产率（ETFP）增长来表征经济环境协调，并结合2001-2019年中国宏观和微观数据，研究城市扩张如何影响全要素生产率增长。采用改进的数据包络分析（Data Envelope Analysis， DEA）模型计算ETFP增长，发现城市蔓延对ETFP增长具有倒u型影响。城市扩张对ETFP增长的负面影响在发达城市、第三产业导向型城市和城市人口增长缓慢、道路密度低、土地财政依赖度高的城市更为明显。城市扩张对ETFP增长的倒u型影响源于城市扩张对技术创新和能源效率的非线性效应。为了平衡经济增长和环境保护，建议通过城市更新和提高副中心经济密度来促进紧凑型城市化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Structural Change and Economic Dynamics ECONOMICS-

CiteScore

9.60

自引率

4.90%

发文量

159

期刊介绍： Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.