Research on  the impact of innovative industrial clusters on the total factor productivity of cities

doi:10.19571/j.cnki.1000-2995.2024.05.011

Abstract

Abstract: Innovative industrial clusters are important carriers of China′s innovation-driven development strategy and important policy tools to promote regional innovation. Based on the policy practice of "innovative industrial clusters", this paper used the panel data of 281 prefecture-level cities in China from 2010 to 2019, and used the progressive DID model to evaluate the impact, mechanism and regional heterogeneity of innovative industrial clusters on urban total factor productivity. The study found that innovative industrial clusters can significantly improve urban total factor productivity, and the conclusion is robust. The mechanism analysis showed that innovative industrial clusters can promote urban total factor productivity by promoting technological innovation, and technological innovation has a mediating effect in the impact path. The regional heterogeneity analysis showed that the policy effect of innovative industrial clusters is significant in central and eastern China. The research conclusion will have certain policy implications for further building innovative industrial clusters, guiding the rational allocation of innovative resources among regions, and promoting the optimization and upgrading of urban industrial structure.

Key words: innovative industrial cluster, total factor productivity, technological innovation, regional heterogeneity

Liu Jun, Guo Lihong, Zhang Wukang. Research on the impact of innovative industrial clusters on the total factor productivity of cities[J]. Science Research Management, 2024, 45(5): 105-113.

References

[1]李金华.我国创新型产业集群的分布及其培育策略[J].改革, 2020, (3):98-110
[2]郭小婷, 谭云清.创新型产业集群与政策资源依赖关系研究[J].科技进步与对策, 2021, 38(21):53-62
[3]沙德春, 胡鑫慧, 赵翠萍.中国创新型产业集群创新效率研究[J].技术经济, 2021, 40(02):18-27
[4]张冀新, 王怡晖.创新型产业集群中的战略性新兴产业技术效率[J].科学学研究, 2019, 37(08):1385-1393
[5]陈升, 王京雷, 谭亮.基于三阶段DEA的我国创新型产业集群投入产出效率研究[J].经济问题探索, 2019(09):148-157.
[6]吴伟萍, 张超, 向晓梅.创新型产业集群对城市绿色经济发展的影响——基于中国个城市面板数据的实证分析[J].企业经济, 2021, 40(11):24-32
[7]李荣, 张冀新.创新型产业集群对国家高新区集聚效应影响研究[J].技术经济与管理研究, 2021, 301(08):114-118
[8]田颖, 田增瑞, 韩阳, 吴晓隽.国家创新型产业集群建立是否促进区域创新[J].科学学研究, 2019, 37(05):817-825
[9]Voyer R.Knowledge-Based Industrial Clustering:International Comparisons [M].Springer US, 1998.
[10]Kuesten C.Knowledge Matters: Technology,Innovation,and Entrepreneurship in Innovation Networks and Knowledge Clusters[J].Journal of product innovation management, 2012, 29(2):332-334
[11]张骁, 唐勇, 周霞.创新型产业集群社会网络关系特征对创新绩效的影响——基于广州的实证启示[J].科技管理研究, 2016, 36(02):184-188
[12]沈小平, 李传福.创新型产业集群形成的影响因素与作用机制[J].科技管理研究, 2014, 34(14):144-148
[13]陈松洲.创新型产业集群的形成机理及政府作用探析[J].东莞理工学院学报, 2015, 22(06):46-52
[14]景保峰, 任政坤, 周霞.我国创新型产业集群科技资源配置效率研究[J].科技管理研究, 2019, 39(20):195-200
[15]陆红娟, 何程, 黄倧睿.基于三阶段的省域创新型产业集群效率测度[J].科技与经济, 2021, 34(05):21-25
[16]王欢.创新型产业集群试点政策促进了城市高技术产业发展水平提升吗[J].现代经济探讨, 2022(04):94-104.
[17]黄萍, 宣昌勇.金融集聚、空间溢出与经济高质量发展[J].江苏大学学报社会科学版, 2021, 23(06):49-65
[18]张建平, 黄富.巡视监督、自主创新与高质量发展——基于国企准自然实验的证据[J].外国经济与管理, 2021, 43(12):3-18
[19]王贤彬, 王明灿, 郑莉萍.金融改革推动地方经济高质量发展了吗?——来自国家金融综合改革试验区设立的证据[J].经济社会体制比较, 2020(04):11-20.
[20]孙盼盼, 李勇坚, 李子璇.地方政府行为对旅游产业全要素生产率的影响机制[J].华侨大学学报(哲学社会科学版), 2021(03):45-58.
[21]张卫东, 丁海, 石大千.智慧城市建设对全要素生产率的影响——基于准自然实验[J].技术经济, 2018, 37(03):107-114
[22]王亚飞, 张毅.自贸区设立对城市全要素生产率的影响研究——兼论资本错配的中介效应和产业集聚的调节作用[J].软科学, 2021, 35(11):52-57
[23]张杰, 付奎.创新制度改革与城市全要素生产率提升——来自全面创新改革试验区的经验证据[J].现代经济探讨, 2021(09):26-35.
[24]李小平, 余东升.的空间集聚是否影响了环境全要素生产率?——基于中国个城市的空间面板分析[J].科研管理, 2021, 42(08):160-167
[25]武宵旭, 韩永楠, 葛鹏飞.中国制造业自主创新与全要素生产率的耦合协调性研究[J].经济问题探索, 2021(08):141-154.
[26]刘劭睿.经济增长目标与城市全要素生产率[J].东北师大学报(哲学社会科学版), 2021(06):107-117.
[27]范剑勇, 冯猛, 李方文.产业集聚与企业全要素生产率[J].世界经济, 2014, 37(05):51-73
[28]黄光阳.创新型产业集群技术扩散和知识流动均衡模型研究[J].哈尔滨商业大学学报(社会科学版), 2012(06):97-104.
[29]郭先登.论新型城市圈群[J].经济与管理评论, 2020, 36(04):133-146
[30]王缉慈.关于发展创新型产业集群的政策建议[J].经济地理, 2004(04):433-436.
[31]Cowan R, Jonard N, Zimmermann J B .Bilateral Collaboration and the Emergence of Innovation Networks.[C]Computer Science & Information Systems. IEEE, 2012.
[32]于斌斌.金融集聚促进了产业结构升级吗:空间溢出的视角——基于中国城市动态空间面板模型的分析[J].国际金融研究, 2017(02):12-23.
[33]袁航, 朱承亮.国家高新区推动了中国产业结构转型升级吗[J].中国工业经济, 2018(08):60-77.
[34]任保平, 豆渊博.十四五”时期新经济推进我国产业结构升级的路径与政策[J].经济与管理评论, 2021, 37(01):10-22
[35]Battese G E, Coelli T J.A model for technical inefficiency effects in a stochastic frontier production function for panel data[J].Empirical Economics, 1995, 20(2):325-332
[36]湛泳, 李珊.智慧城市建设、创业活力与经济高质量发展——基于绿色全要素生产率视角的分析[J].财经研究, 2022, 48(01):4-18
[37]李锴, 齐绍洲.贸易开放、经济增长与中国二氧化碳排放[J].经济研究, 2011, 46(11):60-72
[38]石大千, 丁海, 卫平, 刘建江.智慧城市建设能否降低环境污染[J].中国工业经济, 2018(06):117-135.
[39]陈西川.新时期我国区域经济格局发展变化及其研究[J].管理世界，2015(02):170-171.

Research on the impact of innovative industrial clusters on the total factor productivity of cities

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