Zhang Xing, Yu Xiao, Hu Xuedong
School of Public Administration, Guangdong University of Finance & Economics, Guangzhou, 510320, China.
School of Customs and Public Administration, Shanghai Customs College, Shanghai, 201204, China.
Sci Rep. 2025 Jan 2;15(1):260. doi: 10.1038/s41598-024-80707-5.
Urbanization exacerbates the prevalence of urban diseases such as water pollution. Smart city construction (SCC), a prevailing global trend in urban development, has the potential to catalyze the symbiotic development of the urban economy, society, and environment. This study utilized a difference-in-differences (DID) model with panel data from 150 prefecture-level cities in China during the period of 2011-2017 to evaluate the impact of SCC on urban sewage treatment. The results revealed a statistically significant increase in the sewage treatment level, which remained robust even after rigorous tests were performed. The mechanism analysis revealed that SCC can improve the level of sewage treatment through increasing the fiscal self-sufficiency rate (FSR) and industrial upgrading (IU). Furthermore, heterogeneity analysis revealed that in cities with a high level of financial development and public environmental attention (PEA), coupled with a low level of environmental attention from higher-level government, the advancement of the sewage treatment level can be more effectively facilitated through SCC. In conclusion, the promotional effect of SCC on the sewage treatment level is influenced by a combination of technological, economic, political, and social factors. Therefore, SCC should prioritize the synergistic integration of technological innovations and non-technological factors.
城市化加剧了水污染等城市病的流行。智慧城市建设(SCC)作为全球城市发展的普遍趋势,有潜力促进城市经济、社会和环境的共生发展。本研究利用2011 - 2017年期间中国150个地级市的面板数据,采用双重差分(DID)模型来评估智慧城市建设对城市污水处理的影响。结果显示,污水处理水平在统计上有显著提高,即使经过严格测试,这一结果依然稳健。机制分析表明,智慧城市建设可以通过提高财政自给率(FSR)和产业升级(IU)来提升污水处理水平。此外,异质性分析表明,在金融发展水平高、公众环境关注度(PEA)高且上级政府环境关注度低的城市,智慧城市建设能够更有效地推动污水处理水平的提升。总之,智慧城市建设对污水处理水平的促进作用受到技术、经济、政治和社会等多种因素的综合影响。因此,智慧城市建设应优先考虑技术创新与非技术因素的协同整合。