An Empirical Study on the Influence of Policies for Constructing Innovative Cities on Financing of Artificial Intelligence Enterprises
Ma Ting1, Ma Wenjia2, Wu Maozhen3
1. Institute of Scientific and Technical Information of China,Beijing 100038,China; 2. School of Public Policy and Management, Tsinghua University,Beijing 100084,China; 3. School of Social Sciences,Tsinghua University,Beijing 100084,China
Abstract：Innovative development in artificial intelligence industry is an important driver of high-quality economic growth.This study employs the national innovative city pilot policies as a quasi-natural experiment,utilizing data from Chinese prefecture-level cities and innovation financing data of micro-level artificial intelligence enterprises spanning 2005 to 2019.Results show the pilot policies significantly increases the scale of financing on AI innovation,with effects growing over time.This impact is stronger for upstream and core-industry firms and listed firms.Mechanism evidence suggests that policies work mainly through improving the urban commercial credit environment,promoting industrial upgrading,and attracting talent.Further analysis indicates that after boosting AI innovation financing,policies also significantly increase local firms' patent applications and grants.These findings extend research on how innovation policies shape firms' innovation financing and offer policy implications for promoting innovation and financing.
马挺, 马雯嘉, 吴茂祯. 创新型城市建设政策影响人工智能企业创新融资研究[J]. 中国科技论坛, 2026(4): 160-168.
Ma Ting, Ma Wenjia, Wu Maozhen. An Empirical Study on the Influence of Policies for Constructing Innovative Cities on Financing of Artificial Intelligence Enterprises. , 2026(4): 160-168.
[1]DUAN Y,EDWARDS J S,DWIVEDI Y K.Artificial intelligence for decision making in the era of Big Data:Evolution,challenges and research agenda[J].International Journal of Information Management,2019,48:63-71. [2]PAPPAS I O,MIKALEF P,GIANNAKOS M N,et al.Big data and business analytics ecosystems:Paving the way towards digital transformation and sustainable societies[J].Information Systems and e-Business Management,2018,16(3):479-491. [3]PARVEEN R.Artificial intelligence in construction industry:Legal issues and regulatory challenges[J].International Journal of Civil Engineering and Technology,2018,9(13):957-962. [4]MUHURI P K,SHUKLA A K,ABRAHAM A.Industry 4.0:A bibliometric analysis and detailed overview[J].Engineering Applications of Artificial Intelligence,2019,78:218-235. [5]ZHONG R Y,XU X,KLOTZ E,et al.Intelligent manufacturing in the context of industry 4.0:A review[J].Engineering,2017,3(5):616-630. [6]LI B H,HOU B C,YU W T,et al.Applications of artificial intelligence in intelligent manufacturing:A review[J].Frontiers of Information Technology and Electronic Engineering,2017,18(1):86-96. [7]曾婧婧,周丹萍.区域特质、产业结构与城市创新绩效:基于创新型城市试点的准自然实验[J].公共管理评论,2019,1(3):66-97. [8]张涵.创新型城市试点的创新集聚效应分析:一项准自然实验[J].科技进步与对策,2021,38(4):45-52. [9]黄永春,黄湛,邹晨.政府参与创新有助于提高城市创新效率吗:基于国家创新型城市试点政策的实证检验[J].科技进步与对策,2022,39(20):92-100. [10]杨仁发,李胜胜.创新试点政策能够引领企业创新吗:来自国家创新型试点城市的微观证据[J].统计研究,2020,37(12):32-45. [11]姜中裕.创新型城市建设与企业关键核心技术创新[J].当代财经,2024(4):113-126. [12]郭丰,杨上广,柴泽阳.创新型城市建设实现了企业创新的“增量提质”吗:来自中国工业企业的微观证据[J].产业经济研究,2021(3):128-142. [13]张营营,许钊,彭硕毅.创新型城市试点政策促进服务业结构升级了吗[J].产业经济研究,2024(1):16-28. [14]熊学丽,郁港宁,黄加顺.“创城”与人才集聚:基于创新型城市的准自然实验[J].科学学与科学技术管理,2024,45(4):3-17. [15]张扬.创新型城市试点政策提升了科技人才集聚水平吗:来自240个地级市的准自然实验[J].科技进步与对策,2021,38(12):116-123. [16]宣烨,彭婕.创新型城市建设、知识产权保护与服务业企业绩效[J].科学学与科学技术管理,2023,44(12):17-36. [17]白洁,李万明.创新型城市建设、营商环境与城市创业[J].软科学,2022,36(9):29-36. [18]王晓红,张少鹏,张奔.创新型城市试点政策与城市产学研知识流动:基于长三角城市群的空间DID模型分析[J].科学学研究,2021,39(9):1671-1682. [19]阮荣彬,朱祖平,陈莞,等.政府科技伦理治理与人工智能企业科技向善[J].科学学研究,2024(6):1-21. [20]赵涛,张智,梁上坤.数字经济、创业活跃度与高质量发展:来自中国城市的经验证据[J].管理世界,2020,36(10):65-76. [21]韩璐,陈松,梁玲玲.数字经济、创新环境与城市创新能力[J].科研管理,2021,42(4):35-45. [22]马挺,韩廷春.金融发展影响创新发展和绿色发展的实证研究:基于中国产业链的视角[J].宏观经济研究,2023(7):21-34.
2026, 
