|Table of Contents|

Empirical study on the driving factors and configurational pathways of building innovative cities from the perspective of innovation ecosystem(PDF)

《长安大学学报(社科版)》[ISSN:1671-6248/CN:61-1391/C]

Issue:
2025年03期
Page:
112-124
Research Field:
管理学·国家创新体系研究
Publishing date:
2025-06-30

Info

Title:
Empirical study on the driving factors and configurational pathways of building innovative cities from the perspective of innovation ecosystem
Author(s):
HAN Yanhu YU Qing
(School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
innovative city Xi'an innovation ecosystem fsQCA scientific and technological innovation level
PACS:
F124.3
DOI:
-
Abstract:
As a new paradigm of innovation, the innovation ecosystem theory emphasizes symbiotic evolution and coordinated development based on resource sharing, providing an effective means for cities to enhance their scientific and technological innovation capacity and overcome innovation bottlenecks. From the perspective of the innovation ecosystem and taking Xi'an City in Shaanxi Province as a case study, this paper employs the fuzzy-set qualitative comparative analysis(fsQCA)method to explore the driving factors and configurational pathways of cities' scientific and technological innovation. The findings reveal that the development of Xi'an as an innovative city is influenced by multiple configurational factors, and no single factor alone can significantly enhance its urban innovation capacity. Higher education institutions, enterprises, and research institutes demonstrate high consistency and serve as core driving forces with general applicability in promoting cities' level of scientific and technological innovation, while intermediary institutions have not played a role. The study identifies four configurational pathways to building an innovative city in Xi'an: talent and scientific and technological innovation dual-driven type, capital-led enterprise-environment incentive type, university-enterprise-research collaboration type, and environment-actor-resource joint-driven type. The study concludes that the construction of innovative cities requires not only the accurate identification of core driving factors but also a deep understanding of the synergistic effects among them. Building competitive innovative cities should focus on methods such as improving the innovation ecosystem, promoting collaboration among diverse actors, and optimizing system-level resource allocation.

References:

[1] 斯丽娟,曹昊煜.区位导向政策、知识溢出与区域创新格局——来自创新型城市建设的证据[J].南开经济研究,2025(4):147-166.
[2]唐开翼,欧阳娟,甄杰,等.区域创新生态系统如何驱动创新绩效?——基于31个省市的模糊集定性比较分析[J].科学学与科学技术管理,2021(7):53-72.
[3]何舜辉,杜德斌,焦美琪,等.中国地级以上城市创新能力的时空格局演变及影响因素分析[J].地理科学,2017(7):1014-1022.
[4]QIN B,GAI Y,GE L,et al.FDI,technology spillovers,and green innovation:theoretical analysis and evidence from China[J].Energies,2022(20):7497.
[5]陈晓东,胡伟,陈竹.中国专利创新的区域特征与空间格局演变[J].江苏社会科学,2018(4):55-66.
[6]MOZRINAITE·S,SABAITYTE· J.To what extent we do understand smart citiesand characteristics influencing city smareness[J].Journal of architecture andurbanism,2021(1):1-8.
[7]WANG J,WEI Y D,LIN B.How does tolerance affect urban innovativecapacities in China?[J].Growth and change,2019(4):1242-1259.
[8]刘树峰,杜德斌,覃雄合,等.中国沿海三大城市群企业创新时空格局与影响因素[J].经济地理,2018(12):111-118.
[9] 孙燕芳,张淑惠,王勇.创新生态系统视角下区域协同创新效率提升的组态路径研究[J].统计与信息论坛,2025(4):89-100.
[10]GRANSTRAND O,HOLGERSSON M.Innovation ecosystems:a conceptualreview and a new definition[J].Technovation,2020,90:102098.
[11]张贵,姜兴,蔡盈.区域与城市创新生态系统的理论演进及热点前沿[J].经济与管理,2022(4):36-45.
[12]LIU R,TANG F,WANG Y,et al.A modified nk algorithm based on bp neuralnetwork and dematel for evolution path optimization of urban innovationecosystem[J].Complex & intelligent systems,2023,9:2333-2349.
[13]柳卸林,吉晓慧.中国城市创新生态系统竞争力评价研究——基于中国100个城市的分析[J].科学学与科学技术管理,2024(1):91-109.
[14]张志红,王露露,宋艺.营商环境生态如何驱动城市创新绩效?——基于创新型城市的模糊集定性比较分析[J].研究与发展管理,2022(3):24-40.
[15]APPIO FP,LIMA M,PAROUTIS S.Understanding smart cities:innovationecosystems,technological advancements,and societal challenges[J].Technological forecasting and social change,2019,142:1-14.
[16]MULAS V,MINGES M,APPLEBAUM H.Boosting tech innovation:ecosystems in cities:a framework for growth and sustainability of urban tech innovation ecosystems[J].Innovations technology governance globalization,2015(1-2):98-125.
[17]吴光东,袁明杰,谢智敏.创新生态系统驱动城市创新绩效路径识别[J].中国科技论坛,2024(9):11-20,56.
[18]刘健,李小雯.生态系统视角下数字营商环境与共同富裕——基于长三角41个城市数据实证分析[J].华东经济管理,2024(6):21-31.
[19]解学梅,刘晓杰.区域创新生态系统生态位适宜度评价与预测——基于2009—2018中国30个省市数据实证研究[J].科学学研究,2021(9):1706-1719.
[20]应千伟,何思怡.政府研发补贴下的企业创新策略:“滥竽充数”还是“精益求精”[J].南开管理评论,2022(2):57-69.
[21]王飞航,本连昌.创新生态系统视角下区域创新绩效提升路径研究[J].中国科技论坛,2021(3):154-163.
[22]李政,杨思莹.创新型城市试点提升城市创新水平了吗?[J].经济学动态,2019(8):70-85.
[23]赵放,曾国屏.多重视角下的创新生态系统[J].科学学研究,2014(12):1781-1788,1796.
[24]LIU L,ZHANG Y,LIU B,et al.How to achieve carbon neutrality:from theperspective of innovative city pilot policy in China[J].International journal ofenvironmental research and public health,2022(24):16539.
[25]刘佳,顾小龙,辛宇.创新型城市建设与企业创新产出[J].当代财经,2019(10):71-82.
[26]刘兰剑,项丽琳,夏青.基于创新政策的高新技术产业创新生态系统评估研究[J].科研管理,2020(5):1-9.
[27]ZHANG S,WANG X,ZHANG B.The policy effects of innovative city pilot onthe dual efficiency of industry-university-research knowledge flow[J].Technologyanalysis & strategic management,2022(9):1038-1049.
[28]王俊,李慧平.国际循环水平提升对城市创新能力的影响[J].科技进步与对策,2025(2):51-62.
[29]杜运周,刘秋辰,陈凯薇,等.营商环境生态、全要素生产率与城市高质量发展的多元模式——基于复杂系统观的组态分析[J].管理世界,2022(9):127-145.
[30]罗公利,王晓彤.低碳城市创新能力的驱动机制研究——基于fsQCA范式分析视角[J].科学学与科学技术管理,2024(5):92-104.
[31]姚建秀,钟书华.创新型城市智慧专业化发展协同路径研究——基于国家创新型城市的fsQCA分析[J].城市问题,2024(10):82-92.

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Last Update: 2025-06-30