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智慧城市试点能否促进经济增长?--基于双重差分模型的实证检验 被引量:23

Can Smart City Pilot Projects Promote Economic Growth?Empirical Test Based on DID Model
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摘要 随着中国经济增长速度逐渐放缓,智慧城市建设成为城市经济增长新动能。为厘清智慧城市建设与经济增长的作用机制,文章采用2006—2018年140个地级市面板数据和双重差分模型进行实证检验。研究发现:智慧城市建设能促进经济增长;机制检验表明,智慧城市建设主要通过技术创新和人口集聚效应拉动经济增长;异质性研究表明,科教水平和政府规模较低的城市其智慧城市建设能促进经济增长,而两者较高的城市其智慧城市建设不能促进经济增长;智慧城市建设能促进东部、中部和非省会城市经济增长并促进省会城市城乡收入差距缩小,但抑制省会城市经济增长并扩大西部地区城乡收入差距。研究对指导智慧城市建设和探寻经济增长新动能具备重要借鉴意义。 With the gradual slowdown of China’s economic growth,smart city construction becomes a new driving force for urban economic growth.In order to clarify the mechanism of smart city construction on economic growth,this paper uses the panel data of 140 prefecture level cities from 2006 to 2018 and DID model for empirical test.This research finds that smart city construction can promote economic growth;mechanism test shows that smart city construction mainly drives economic growth through technological innovation and population agglomeration effect;the heterogeneity study shows that the smart city construction of cities with low science and education level and government scale can promote economic growth,while the smart city construction of cities with high level of the two standards cannot promote economic growth;smart city construction can promote the economic growth of eastern,central,and non-provincial capital cities and narrow the urban-rural income gap in provincial capital cities,but inhibit the economic growth of provincial capital cities and expand the urban-rural income gap in western China.This research has important reference significance for guiding the construction of smart cities and exploring new drivers of economic growth.
作者 王颖 周健军 WANG Ying;ZHOU Jianjun(School of Business,East China University of Political Science and Law,Shanghai 201620,China)
出处 《华东经济管理》 CSSCI 北大核心 2021年第12期80-91,共12页 East China Economic Management
基金 华东政法大学研究生创新能力培养专项资金项目“上海市人工智能发展的就业效应研究——基于‘十四五’规划视角”(2021-3-130)。
关键词 智慧城市试点 经济增长 双重差分模型 技术创新 人口集聚 smart city pilot economic growth DID model technological innovation population agglomeration
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