摘要
基于国家智慧城市建设试点的准自然试验,在综合测度市域社会治理能力指数的基础上,运用2005—2020年208个地级市的面板数据进行多期DID实证分析,探索智慧城市建设与市域社会治理能力提升的关系。结果表明:智慧城市建设可以提升市域的社会治理能力,与非试点城市相比,试点城市的社会治理能力在平均意义上提升了102%;机制检验表明,智慧城市建设主要是通过信息处理机制、技术进步机制和资源配置机制来提升市域的社会治理能力;异质性分析发现,城市规模大、经济发展好、对外开放水平高的试点城市,智慧城市建设对社会治理能力的提升更为显著。由此,提出了拓展智慧城市应用领域、疏通传导渠道、注重因地制宜、强化信息安全等政策建议。
Based on the quasi-natural experiment of the national smart city construction pilot project and the comprehensive measurement of the social governance ability index of the city,this paper adopts the panel data of 208 prefecture-level cities from 2005 to 2020 to conduct an empirical analysis of multi-phase DID and to explore the relationship between smart city construction and municipal social governance capacity.The results show that smart city construction can boost the social governance capacity of the city.Compared with non-pilot cities,pilot cities can improve the social governance capacity by 102%on average.The mechanism test shows that smart city construction improves municipal social governance capacity of the city mainly through information processing mechanism,technological progress mechanism and resource allocation mechanism.And heterogeneity analysis shows that smart city construction has a more significant improvement in social governance capacity in pilot cities with large population,good economic development and high level of opening up.In view of this,this paper puts forward some policy suggestions,such as expanding the application field of smart city,dredging the transmission channel,paying attention to local conditions and strengthening information security.
作者
楚尔鸣
唐茜雅
CHU Erming;TANG Xiya(School of Business,Xiangtan University,Xiantan 411105,China)
出处
《中南大学学报（社会科学版）》
CSSCI
北大核心
2022年第4期139-150,共12页
Journal of Central South University：Social Sciences
基金
中国工程院重大咨询项目“面向新型智慧城市的市域治理体系和治理能力现代化战略研究”(2019-ZD-38)
国家自然科学基金面上项目“去杠杆与稳增长目标下结构性货币政策的传导机制与疏通路径研究”(71973117)
湖南省研究生科研创新项目“中外原油期货波动性差异对人民币汇率的波动性影响研究”(CX20200577)。
关键词
智慧城市建设
市域社会治理能力
信息技术
资源配置
多期DID
smart city construction
social governance at reginal level
information technology
resource allocation
multi-phase DID
