College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China.
Int J Environ Res Public Health. 2019 Jul 5;16(13):2396. doi: 10.3390/ijerph16132396.
When cities develop rapidly, there are negative effects such as population expansion, traffic congestion, resource shortages, and pollution. It has become essential to explore new types of urban development patterns, and thus, the concept of the "smart city" has emerged. The purpose of this paper is to investigate the links between smart city policies and urban green total factor productivity (GTFP) in the context of China. Based on panel data of 200 cities in China from 2007-2016 and treating smart city policy as a quasi-natural experiment, the paper uses a difference-in-differences propensity score matching (PSM-DID) approach to prevent selection bias. The results show: (a) Smart city policies can significantly increase urban GTFP by 16% to 18%; (b) the larger the city, the stronger and more significant this promotion.
当城市快速发展时，会产生人口膨胀、交通拥堵、资源短缺和污染等负面影响。因此，探索新型城市发展模式变得至关重要，这就引出了“智慧城市”的概念。本文旨在探讨中国智慧城市政策与城市绿色全要素生产率（GTFP）之间的联系。基于 2007-2016 年中国 200 个城市的面板数据，并将智慧城市政策视为一项准自然实验，本文采用倾向得分匹配双重差分法（PSM-DID）来防止选择偏差。结果表明：（a）智慧城市政策可以显著提高城市的 GTFP 16%至 18%；（b）城市规模越大，这种促进作用就越强、越显著。
