Zhang GuoWei, Sun XianMin, Zhong Shen
School of Economics, Harbin University of Commerce, Harbin, 150028, China.
School of Finance, Harbin University of Commerce, Harbin, 150028, China.
Sci Rep. 2024 Mar 19;14(1):6633. doi: 10.1038/s41598-024-57138-3.
Based on panel data from 210 prefecture-level cities in China from 2003 to 2021, this study employs the Time-Varying Differences-in-Differences (Time-Varying DID) approach to systematically examine the impact of smart city construction on pollution emissions and its underlying mechanisms. Additionally, the Propensity Score Matching-Differences-in-Differences method is employed for further validation. The research findings indicate that Smart City Construction (SCC) significantly reduces urban Volume of Sewage Discharge (VSD), sulfur dioxide emissions (SO), and Emissions of Fumes and Dust (EFD), thereby mitigating pollution emissions (PE) and enhancing environmental quality. Mechanism analysis reveals that SCC achieves these effects through scale effects, structural effects, and technological effects. City heterogeneity analysis shows that provincial capital cities exhibit a stronger suppression effect on pollution emissions compared to non-provincial capital cities. Moreover, cities with lower levels of education attainment demonstrate a stronger ability to curb pollution emissions, while larger cities exhibit a more pronounced impact on mitigating pollution emissions. The marginal contributions of this study mainly consist of three aspects: Firstly, it enriches the literature on environmental impact factors by assessing, for the first time, the influence of SCC on PE. Secondly, a comprehensive approach is employed, integrating VSD, EFD, SO data, and economic and pollution data at the city level. Time-Varying DID is used to evaluate the policy effects of SCC. Finally, the study analyzes the impact mechanisms of SCC policy on environmental emissions from various perspectives.
基于2003年至2021年中国210个地级市的面板数据,本研究采用时变双重差分法(Time-Varying DID)系统考察智慧城市建设对污染排放的影响及其潜在机制。此外,采用倾向得分匹配-双重差分法进行进一步验证。研究结果表明,智慧城市建设(SCC)显著降低了城市污水排放量(VSD)、二氧化硫排放量(SO)和烟尘排放量(EFD),从而减少了污染排放(PE)并提高了环境质量。机制分析表明,SCC通过规模效应、结构效应和技术效应实现了这些效果。城市异质性分析表明,与非省会城市相比,省会城市对污染排放的抑制作用更强。此外,教育水平较低的城市抑制污染排放的能力更强,而大城市在减轻污染排放方面的影响更为显著。本研究的边际贡献主要包括三个方面:第一,通过首次评估SCC对PE的影响,丰富了环境影响因素的文献。第二,采用了一种综合方法,整合了VSD、EFD、SO数据以及城市层面的经济和污染数据。使用时变DID来评估SCC的政策效果。最后,本研究从多个角度分析了SCC政策对环境排放的影响机制。