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Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China

机译:智慧城市政策对绿色全要素生产率的影响:来自中国的一次自然实验

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摘要

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.
机译:当城市快速发展时,会产生负面影响,例如人口膨胀,交通拥堵,资源短缺和污染。探索新型的城市发展模式已经变得至关重要,因此,“智能城市”的概念应运而生。本文的目的是研究中国背景下的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,并将智能城市政策作为准自然实验,本文采用差异差异倾向得分匹配(PSM-DID)方法来防止选择偏见。结果表明:(a)智慧城市政策可将城市GTFP显着提高16%至18%; (b)城市越大,这项促销活动越强大和越重要。

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