School of Economics and Management, Dalian University of Technology, Dalian City, Liaoning Province, 116024, China.
School of Economics and Management, Dalian University of Technology, Dalian City, Liaoning Province, 116024, China.
J Environ Manage. 2022 Sep 1;317:115483. doi: 10.1016/j.jenvman.2022.115483. Epub 2022 Jun 8.
How to win the "Blue Sky Protection Campaign" is becoming the focus all over the world, especially in developing economies, while the implementation of the smart cities initiative (SCI) is seen to be a feasible program to address the negative environmental externalities through Information and Communication Technologies (ICTs), but it lacks the quantitative evidence so far. This study aims to examine the impacts and potential mechanisms of SCI on air pollution governance from the objective satellite monitoring data within a quasi-natural experiment framework. We find that SCI directly reduces the air pollutants concentration such as PM2.5, SO, NO, and smog in urban China and improves the air quality very well, which also has significant and positive spillovers on air pollution governance in adjacent cities. This encouraging phenomenon can also be achieved through contributing to green technological innovation, industrial structure upgrading, and decentralizing urban spatial structure, such that most of can be attributed to the technological effect. Heterogeneity analyses demonstrate that the governance effect of air pollution is more obvious in large smart cities, and increases with the expansion of city size. Additionally, the effect performs better in resource-based smart cities and smart cities with stronger financing capacity and air pollution pressure.
如何赢得“蓝天保卫战”正在成为全世界关注的焦点,尤其是在发展中经济体,而实施智慧城市倡议(SCI)被视为通过信息和通信技术(ICTs)解决负面环境外部性的可行方案,但迄今为止缺乏定量证据。本研究旨在从客观卫星监测数据在准自然实验框架内检验 SCI 对空气污染治理的影响和潜在机制。我们发现 SCI 直接降低了中国城市中 PM2.5、SO、NO 和雾霾等空气污染物的浓度,非常有效地改善了空气质量,并且对相邻城市的空气污染治理也有显著的积极溢出效应。这种令人鼓舞的现象也可以通过促进绿色技术创新、产业结构升级和分散城市空间结构来实现,其中大部分可以归因于技术效应。异质性分析表明,空气污染治理的效果在大型智慧城市中更为明显,并且随着城市规模的扩大而增加。此外,在资源型智慧城市和融资能力较强、空气污染压力较大的智慧城市中,效果表现更好。