产学研协同发展与区域创新绩效——基于空间溢出效应的实证检验
Industry-University-Research Collaborative Development and Regional Innovation Performance—An Empirical Test Based on Spatial Spillover Effects
DOI: 10.12677/sd.2026.168309, PDF,    科研立项经费支持
作者: 王 旭*：北京工业大学经济与管理学院，北京；张秀梅：北京理工大学管理学院，北京
关键词: 产学研协同发展；区域创新绩效；空间溢出效应；空间计量模型；Industry-University-Research Collaborative Development； Regional Innovation Performance； Spatial Spillover Effect； Spatial Econometric Model
摘要: 产学研协同合作是提升区域创新绩效的重要手段，已成为区域经济转型发展的重要支柱。基于此，本文使用2011~2022年长江经济带、泛珠三角区域以及环渤海经济区中国三大经济区的面板数据，应用熵值法和数据包络分析(DEA)法分别测算产学研协同程度以及区域创新绩效，利用空间计量模型探究产学研协同发展程度对区域创新绩效的影响作用。研究发现：不同经济区的产学研发展程度对区域创新绩效影响不同，长江经济带呈现出显著的促进作用，泛珠三角区域和环渤海经济区呈现出显著的抑制作用；长江经济带没有呈现出显著的空间溢出效应，泛珠三角区域和环渤海区域则呈现出显著的负向空间溢出效应。提出的政策建议包括推行科创飞地双向考核、实施专利低价许可退税、采用企业先投后补、设立创新均衡税、组建跨区域股权联合体并共享仪器。
Abstract: Industry-university-research (IUR) collaborative cooperation is an important means of enhancing regional innovation performance and has become a key pillar of regional economic transformation and development. Based on this, using panel data from China’s three major economic regions—the Yangtze River Economic Belt, the Pan-Pearl River Delta region, and the Bohai Rim Economic Zone—for the period 2011~2022, this study applies the entropy method and Data Envelopment Analysis (DEA) to measure the degree of IUR collaboration and regional innovation performance, respectively, and employs spatial econometric models to investigate the impact of IUR collaborative development on regional innovation performance. The findings reveal that the effects of IUR collaboration on regional innovation performance vary across economic regions: the Yangtze River Economic Belt shows a significant promoting effect, while the Pan-Pearl River Delta and the Bohai Rim Economic Zone exhibit significant inhibiting effects. Moreover, no significant spatial spillover effect is found for the Yangtze River Economic Belt, whereas the Pan-Pearl River Delta and the Bohai Rim region display significant negative spatial spillover effects. The proposed policy recommendations include: implementing two-way performance assessment for science and technology innovation enclaves, introducing tax rebates for low-cost patent licensing, adopting a post-investment subsidy scheme for enterprises, establishing an innovation balance tax, forming cross-regional equity consortia, and sharing research instruments and equipment.
文章引用：王旭, 张秀梅. 产学研协同发展与区域创新绩效——基于空间溢出效应的实证检验[J]. 可持续发展, 2026, 16(8): 492-507. https://doi.org/10.12677/sd.2026.168309

参考文献

[1] 黄菁菁. 产学研协同创新效率及其影响因素研究[J]. 软科学, 2017, 31(5): 38-42.
[2] 王智勇. 城市群扩容如何影响区域创新能力?——以长三角城市群为例[J]. 南通大学学报(社会科学版), 2025, 41(1): 41-55+159-160.
[3] 梁丽娜, 于渤. 经济增长: 技术创新与产业结构升级的协同效应[J]. 科学学研究, 2021, 39(9): 1574-1583.
[4] 严红, 于锦荣. 基于双重激励模型的区域产学研协同创新绩效动态综合评价[J]. 时代经贸, 2022, 19(6): 120-126.
[5] Nielsen, B.B. (2005) The Role of Knowledge Embeddedness in the Creation of Synergies in Strategic Alliances. Journal of Business Research, 58, 1194-1204.
https://doi.org/10.1016/j.jbusres.2004.05.001
[6] Canongia, C. (2007) Synergy between Competitive Intelligence (CI), Knowledge Management (KM) and Technological Foresight (TF) as a Strategic Model of Prospecting—The Use of Biotechnology in the Development of Drugs against Breast Cancer. Biotechnology Advances, 25, 57-74.
https://doi.org/10.1016/j.biotechadv.2006.10.001
[7] 吴悦, 李小平, 涂振洲, 等. 知识流动视角下动态能力影响产学研协同创新过程的实证研究[J]. 科技进步与对策, 2020, 37(8): 115-123.
[8] Kang, W., Zhao, S., Song, W. and Zhuang, T. (2019) Triple Helix in the Science and Technology Innovation Centers of China from the Perspective of Mutual Information: A Comparative Study between Beijing and Shanghai. Scientometrics, 118, 921-940.
https://doi.org/10.1007/s11192-019-03017-y
[9] 李林, 傅庆. 产学研主体创新效率对区域创新的影响研究[J]. 科技进步与对策, 2014, 31(5): 45-49.
[10] 王琳琳, 彭庭莹, 胡骁宇, 等. 长三角城市群产学研创新合作网络结构及其多维邻近性机制[J]. 经济地理, 2025, 45(5): 65-74.
[11] 柳卸林, 王宁, 吉晓慧, 等. 中心城市的虹吸效应与区域协调发展[J]. 中国软科学, 2022(4): 76-86.
[12] 张战仁. 我国区域创新差异的形成机制研究——基于新经济地理学的实证分析[J]. 软科学, 2013, 27(6): 64-68.
[13] 周竺, 黄瑞华. 产学研合作中的知识产权冲突及协调[J]. 研究与发展管理, 2004, 16(1): 90-94.
[14] Pekkarinen, S. and Harmaakorpi, V. (2006) Building Regional Innovation Networks: The Definition of an Age Business Core Process in a Regional Innovation System. Regional Studies, 40, 401-413.
https://doi.org/10.1080/00343400600725228
[15] 陈伟, 王秀锋, 曲慧, 等. 产学研协同创新共享行为影响因素研究[J]. 管理评论, 2020, 32(11): 92-101.
[16] Boh, W.F., Evaristo, R. and Ouderkirk, A. (2014) Balancing Breadth and Depth of Expertise for Innovation: A 3M Story. Research Policy, 43, 349-366.
https://doi.org/10.1016/j.respol.2013.10.009
[17] 彭启宁, 张娴, 付振康, 等. 产学研协同创新网络的演化规律及内生动力机制[J]. 科技管理研究, 2025, 45(23): 41-53.
[18] 白俊红, 蒋伏心. 协同创新、空间关联与区域创新绩效[J]. 经济研究, 2015, 50(7): 174-187.
[19] Eisenhardt, K.M. and Bourgeois, L.J. (1988) Politics of Strategic Decision Making in High-Velocity Environments: Toward a Midrange Theory. Academy of Management Journal, 31, 737-770.
https://doi.org/10.2307/256337
[20] Dahlgaard, S.M.P. (1999) The Evolution Patterns of Quality Management: Some Reflections on the Quality Movement. Total Quality Management, 10, 473-480.
https://doi.org/10.1080/0954412997424
[21] 孙超, 王燕. 产业协同集聚对区域创新效率的空间溢出效应[J]. 统计与决策, 2022, 38(20): 43-47.
[22] 吴中超. 国外产学研创新网络研究回顾与前瞻[J]. 技术与创新管理, 2020, 41(2): 107-113.
[23] 吕国庆, 曾刚, 郭金龙. 长三角装备制造业产学研创新网络体系的演化分析[J]. 地理科学, 2014(9): 1051-1059.
[24] Hagedoorn, J. (2002) Inter-Firm R & D Partnerships: An Overview of Major Trends and Patterns Since 1960. Research Policy, 31, 477-492.
https://doi.org/10.1016/s0048-7333(01)00120-2
[25] 张秋明, 顾新, 杨雪. 产学研协同创新网络视角下创新资源禀赋对城市创新能力提升的影响研究[J]. 软科学, 2022, 36(12): 49-56.
[26] 蔡湘杰, 贺正楚, 潘为华. 产学研协同对制造业全要素生产率的影响——基于创新能力中介效应和知识积累门限效应[J]. 中国流通经济, 2023, 37(11): 115-127.
[27] 姚东旭. 京津冀协同创新是否存在“虹吸效应”——基于与珠三角地区对比分析的视角[J]. 经济理论与经济管理, 2019(9): 89-97.
[28] 陈南. 产学合作对区域创新的效应研究: 虹吸还是溢出? [J]. 中国物价, 2022(8): 44-47.
[29] 孙大明, 原毅军, 郭然. 多主体协同创新对区域产业升级的影响——基于空间溢出视角[J]. 科研管理, 2022, 43(5): 154-163.
[30] 李小瑛, 史冬波, 周斯凡, 等. 突破创新溢出的地理约束: 来自高校异地研究院的证据[J]. 世界经济, 2026, 49(2): 35-67.
[31] 金刚, 沈坤荣, 胡汉辉. 中国省际创新知识的空间溢出效应测度——基于地理距离的视角[J]. 经济理论与经济管理, 2015(12): 30-43.
[32] 刘伟江, 白玥, 李京京. 科技创新主体协同对区域创新的空间效应影响研究[J]. 长白学刊, 2024(5): 81-107+165.
[33] Liu, J., Pénin, J. and Rondé, P. (2025) Knowledge Flows within Chinese Administrative Provinces: The Role of Regional Research Structures. International Regional Science Review, 48, 92-120.
https://doi.org/10.1177/01600176241237191
[34] 陶长琪, 彭永樟. 制度邻近下知识势能对区域技术创新效率的空间溢出效应[J]. 当代财经, 2018(2): 15-25.
[35] Cai, Z.S., Ma, D., Zhou, R., et al. (2024) Unraveling the Impact of Patent Transfers on Regional Innovation: Empirical Insights through the Lens of Entity Relationships. Technological Forecasting and Social Change, 208, Article 123666.
https://doi.org/10.1016/j.techfore.2024.123666
[36] 肖振红, 李炎. 产学研协同发展、知识产权保护与技术创新绩效——基于动态面板门限机理实证分析[J]. 管理评论, 2023, 35(6): 72-81.

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