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The Spatial Analysis of Regional Innovation Performance and Industry-University-Research Institution Collaborative Innovation—An Empirical Study of Chinese Provincial Data

Author

Listed:
  • Xu Wang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Hong Fang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Fang Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Siran Fang

    (School of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

Abstract

Previous studies have pointed out that Industry-University-Research Institution (IUR) collaborative innovation is an important means to ensure the sustainable development of regional innovation, and there may be spillover effects among different regional innovation systems. However, the impact of regional spatial correlation and IUR collaborative innovation synergy degree on regional innovation performance is not that clear. Based on the panel data of 31 regions in China from 2006 to 2015, we construct static and dynamic spatial econometrics models to analysis the relationships among regional innovation performance, IUR collaborative innovation and spatial correlation. The research results show that there are significant positive spillover effects among different regions, indicating that the dynamic flows of innovation elements among regions is conducive to improve the regional innovation performance. In addition, IUR collaboration innovation also has a positive impact on regional innovation performance: the current period of IUR synergy degree has a negative impact, while the lagged one has a positive impact. It means that it will take a while for IUR collaborative innovation to be effective and it will have far-reaching contributions to long-term improvements rather than short-term benefits in social development. The results are significant for both static and dynamic spatial econometrics models. The conclusions of this paper have important policy significance to fully understand the coordination of innovative elements and promote the sustainable development of regional innovation systems.

Suggested Citation

  • Xu Wang & Hong Fang & Fang Zhang & Siran Fang, 2018. "The Spatial Analysis of Regional Innovation Performance and Industry-University-Research Institution Collaborative Innovation—An Empirical Study of Chinese Provincial Data," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1243-:d:141871
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    5. Jhon Wilder Zartha Sossa & Juan Fernando Gaviria Suárez & Natalia María López Suárez & José Luis Solleiro Rebolledo & Gina Lía Orozco Mendoza & Valentina Vélez Suárez, 2022. "Innovation Systems and Sustainability. Development of a Methodology on Innovation Systems for the Measurement of Sustainability Indicators in Regions Based on a Colombian Case Study," Sustainability, MDPI, vol. 14(23), pages 1-24, November.
    6. Hongmei Chen & Songlin Cai, 2023. "Research on Evaluation and Influencing Factors of Regional Digital Innovation Ecosystem Resilience—Empirical Research Based on Panel Data of 30 Provinces and Cities in China," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    7. Xi Yu & Krishna P. Paudel & Dongmei Li & Xiaolei Xiong & Yanyu Gong, 2020. "Sustainable Collaborative Innovation between Research Institutions and Seed Enterprises in China," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    8. Xiaohua Yu & Yuan Qi & Longzhen Yu & Yuanyuan He, 2022. "Temporal and Spatial Evolution of Coupling Coordination Degree of Industrial Innovation Ecosystem—From the Perspective of Green Transformation," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    9. Bin Zheng & Wenfeng Chen & Hui Zhao, 2021. "The Spatial and Temporal Characteristics of Industry–University Research Collaboration Efficiency in Chinese Mainland Universities," Sustainability, MDPI, vol. 13(23), pages 1-13, November.

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