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城市密度总能提升智能生产力吗?中国城市中倒U形关系的证据。

Does urban density always boost smart productivity? Evidence of an inverted U-shaped relationship in Chinese cities.

作者信息

Chen Tao, Zhang Yike, Yang Yaoning, Wu Binbin, Xu Genyu

机构信息

Department of Urban and Rural Planning, School of Architecture and Planning, Yunnan University, Yunnan, China.

出版信息

PLoS One. 2025 Jun 24;20(6):e0326606. doi: 10.1371/journal.pone.0326606. eCollection 2025.

Abstract

Does urban density always boost smart productivity? Based on panel data from 28 major Chinese cities (2011-2021), this study reveals an inverted U-shaped relationship between urban density and smart productivity. Using entropy weight method, we construct comprehensive indices to measure both urban density and smart productivity levels. Our findings demonstrate that urban density positively influences smart productivity up to a threshold of 0.497, beyond which the relationship becomes negative. The results from fixed effects modeling show that a 1% increase in urban density is associated with a 0.114% increase in smart productivity before reaching the threshold. Through mediation analysis, we find that urbanization level serves as a significant mediator, accounting for 49.1% of the total effect. Furthermore, heterogeneity analysis reveals distinct regional patterns: urban density exhibits stronger positive effects in western regions (coefficient = 0.181) compared to central regions (coefficient = 0.156), while showing negative impacts in eastern regions. These findings suggest that optimal urban density levels vary across regions, and cities should adopt differentiated development strategies accordingly. Our study contributes to the literature by quantifying the non-linear relationship between urban density and smart productivity, while providing empirical evidence for urban planning policies.

摘要

城市密度总能提高智慧生产力吗?基于中国28个主要城市(2011 - 2021年)的面板数据,本研究揭示了城市密度与智慧生产力之间呈倒U形关系。我们采用熵权法构建综合指标来衡量城市密度和智慧生产力水平。研究结果表明,在城市密度达到0.497这一阈值之前,其对智慧生产力有正向影响,超过该阈值后,这种关系则变为负向。固定效应模型的结果显示,在达到阈值之前,城市密度每增加1%,智慧生产力会相应增加0.114%。通过中介效应分析,我们发现城市化水平是一个显著的中介变量,占总效应的49.1%。此外,异质性分析揭示了不同的区域模式:与中部地区(系数 = 0.156)相比,城市密度在西部地区(系数 = 0.181)表现出更强的正向效应,而在东部地区则呈现负向影响。这些发现表明,各地区的最优城市密度水平存在差异,城市应据此采取差异化的发展策略。我们的研究通过量化城市密度与智慧生产力之间的非线性关系,为城市规划政策提供了实证依据,从而为该领域的文献做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/12186919/6727ee1216a9/pone.0326606.g001.jpg

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