摘要
作为一种新型的城市治理模式,智慧城市为经济社会赋能的重要性日益凸显,但现有研究缺乏对智慧城市影响因素和治理路径的深入探讨。针对这一现象,在技术-组织-环境(TOE)框架基础上,构建了智慧城市治理的理论分析框架,并运用模糊集定性比较分析(fsQCA)法对中国35个重点城市案例进行组态分析,研究发现:大数据发展水平缺乏是低水平智慧城市治理绩效的瓶颈条件;高水平智慧城市治理绩效存在4条“殊途同归”的驱动路径,具体分为两种模式,分别是“技术+组织”主导下的治理模式,“组织+环境”主导下的治理模式;低水平治理的前因组态与高水平治理的前因组态形成非对称关系。研究结论有助于加深对智慧城市的治理路径与作用机理的深入探讨。
As a new model of urban governance,the importance of smart city empowering the economy and society has become increasingly prominent,but the existing research lacks in-depth discussion on the influencing factors and governance paths of smart city.In view of this phenomenon,based on the technology-organization-environment(TOE)framework,the theoretical analysis framework of smart city governance was constructed,and the configuration of 35 key city cases in China was analyzed using fuzzy set qualitative comparative analysis(fsQCA).Through research,it is found that the lack of big data development level is the bottleneck condition of low-level smart city governance performance;There are four driving paths for high-level smart city governance performance,which are specifically divided into two modes:the governance mode led by“technology+organization”and the governance mode led by“organization+environment”;The antecedent configuration of low-level governance performance and high-level governance performance form an asymmetric relationship.The research conclusion is helpful to deepen the in-depth discussion on the governance path and mechanism of smart city.
作者
李友东
闫晨丽
赵云辉
Li Youdong;Yan Chenli;Zhao Yunhui(School of Business Administration,Inner Mongolia University of Finance and Economics,Hohhot 010070,China)
出处
《技术经济》
CSSCI
北大核心
2022年第11期140-151,共12页
Journal of Technology Economics
基金
国家自然科学基金“碳规制下考虑股权合作的低碳供应链决策优化与协调研究”(72062023)
内蒙古自然科学基金“消费者间产品分享对企业运营决策行为影响机理研究”(2019MS07026)
内蒙古自然科学基金“常态化疫情防控下城市客运枢纽安检技防、物防与人防资源配置协同优化研究”(2022QN07003)
内蒙古自治区高等学校创新团队发展计划支持基金“大数据与绿色治理”(NMGIRT2202)。
