The Impact of Smart City Construction on PM 2.5 Concentrations: Empirical Analysis from Chinese Counties

Chenxue Li, Yuxin Duan, Zhicheng Zhou and Shen Zhong ()
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Chenxue Li: School of Finance, Harbin University of Commerce, Harbin 150028, China
Yuxin Duan: School of Finance, Harbin University of Commerce, Harbin 150028, China
Zhicheng Zhou: School of Finance, Harbin University of Commerce, Harbin 150028, China
Shen Zhong: School of Finance, Harbin University of Commerce, Harbin 150028, China

Sustainability, 2025, vol. 17, issue 11, 1-26

Abstract: Fine particulate matter (PM 2.5 ) pollution poses a major threat to human physical and mental health. Smart cities (SCs) provide innovative paths for PM 2.5 pollution prevention and control through Internet of Things (IoT) monitoring, intelligent transportation optimization, and other technological means. Based on the panel data of 2,141 counties in China between 2006 and 2021, this paper constructs a difference-in-differences with multiple time periods (MDID) to systematically assess the impact of SC on PM 2.5 concentration and analyze its mechanism of action by combining the satellite remote sensing PM 2.5 concentration (PM 2.5 C) and the list of smart city pilots. This study finds the following: (1) SC significantly reduced the PM 2.5 concentration in the test area by about 3.58%. This conclusion was verified through rigorous robustness testing; (2) SC can effectively reduce PM 2.5 C through the innovation effect; (3) High-quality economic development can strengthen the emission reduction effect of SC on PM 2.5 C; (4) The environmental benefits of SC show significant spatial heterogeneity, with the largest PM 2.5 reductions occurring in the western regions (4.3% reduction), followed by regions with mature digital infrastructure and cities in high administrative level cities. The results of this study provide a reference for the regional differentiated implementation of the “14th Five-Year Plan for the Development of Innovative Smarter Cities”, and make targeted recommendations for the synergistic management of air quality under the “dual-carbon” goal.

Keywords: smart city; PM 2.5; multi-period difference-in-differences method; county governance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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