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The Impact of a Multilevel Innovation Network and Government Support on Innovation Performance—An Empirical Study of the Chengdu–Chongqing City Cluster

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  • Mingbo Sun

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Xueqing Zhang

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Xiaoxiao Zhang

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

A national strategy has been deployed for the development of China’s western region. The Chengdu–Chongqing city cluster is an important platform for collaborative regional innovation. In this empirical study, we constructed multilevel innovation networks for each of the 16 cities in the Chengdu–Chongqing city cluster and the inter-city networks for these 16 cities based on a panel of data on applications for invention patents by industry–university–research collaborators in the city cluster. We used social network analysis and a negative binomial regression model with fixed effects to examine the impact of the multilevel innovation networks on the innovation performance of the 16 cities. The moderating effect of government support was also analyzed. The results show that the average weighted degree of the intra-city innovation network has significant positive effects on the innovation performance of the 16 cities. For the inter-city innovation networks, the network density and cooperation intensity have significant positive effects on the innovation performance of the 16 cities. Regarding the moderating effect, our results show that a high level of government support enhances the positive effects of the average weighted degree of the intra-city innovation networks and the network density of the inter-city innovation networks on the innovation performance.

Suggested Citation

  • Mingbo Sun & Xueqing Zhang & Xiaoxiao Zhang, 2022. "The Impact of a Multilevel Innovation Network and Government Support on Innovation Performance—An Empirical Study of the Chengdu–Chongqing City Cluster," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7334-:d:839501
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    1. Anne L.J. Ter Wal, 2013. "Cluster Emergence and Network Evolution: A Longitudinal Analysis of the Inventor Network in Sophia-Antipolis," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 651-668, May.
    2. Slavomir Hidas & Martyna Wolska & Manfred M Fischer & Thomas Scherngell, 2012. "Agglomeration and network effects on regional knowledge production activities in Europe," ERSA conference papers ersa12p393, European Regional Science Association.
    3. Hee Dae Kim & Duk Hee Lee & Hochull Choe & Il Won Seo, 2014. "The evolution of cluster network structure and firm growth: a study of industrial software clusters," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 77-95, April.
    4. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    5. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    6. Akbar Zaheer & Geoffrey G. Bell, 2005. "Benefiting from network position: firm capabilities, structural holes, and performance," Strategic Management Journal, Wiley Blackwell, vol. 26(9), pages 809-825, September.
    7. Yan Ma & Feng Xue, 2019. "Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait through the Lens of Functional and Innovation Networks," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    8. Der-Shiuan Lee, 2018. "Towards Urban Resilience through Inter-City Networks of Co-Invention: A Case Study of U.S. Cities," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    9. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    10. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    11. Kaihuang Zhang & Qinglan Qian & Yijing Zhao, 2020. "Evolution of Guangzhou Biomedical Industry Innovation Network Structure and Its Proximity Mechanism," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    12. Dang, Jianwei & Motohashi, Kazuyuki, 2015. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality," China Economic Review, Elsevier, vol. 35(C), pages 137-155.
    13. Chengli Shu & Kevin Z. Zhou & Yazhen Xiao & Shanxing Gao, 2016. "How Green Management Influences Product Innovation in China: The Role of Institutional Benefits," Journal of Business Ethics, Springer, vol. 133(3), pages 471-485, February.
    14. Thomas Scherngell & Rafael Lata, 2013. "Towards an integrated European Research Area? Findings from Eigenvector spatially filtered spatial interaction models using European Framework Programme data," Papers in Regional Science, Wiley Blackwell, vol. 92(3), pages 555-577, August.
    15. Rikard Larsson & Lars Bengtsson & Kristina Henriksson & Judith Sparks, 1998. "The Interorganizational Learning Dilemma: Collective Knowledge Development in Strategic Alliances," Organization Science, INFORMS, vol. 9(3), pages 285-305, June.
    16. Bruno Cassiman & Reinhilde Veugelers, 2006. "In Search of Complementarity in Innovation Strategy: Internal R& D and External Knowledge Acquisition," Management Science, INFORMS, vol. 52(1), pages 68-82, January.
    17. Konstantinos Grigoriou & Frank T. Rothaermel, 2017. "Organizing for knowledge generation: internal knowledge networks and the contingent effect of external knowledge sourcing," Strategic Management Journal, Wiley Blackwell, vol. 38(2), pages 395-414, February.
    18. Weijian Du & Mengjie Li, 2019. "Government support and innovation for new energy firms in China," Applied Economics, Taylor & Francis Journals, vol. 51(25), pages 2754-2763, May.
    19. Gupeng Zhang & Jiancheng Guan & Xielin Liu, 2014. "The impact of small world on patent productivity in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 945-960, February.
    20. Hoekman, Jarno & Frenken, Koen & Tijssen, Robert J.W., 2010. "Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe," Research Policy, Elsevier, vol. 39(5), pages 662-673, June.
    21. Dandan Li & Yehua Dennis Wei & Changhong Miao & Yangyi Wu & Weiye Xiao, 2019. "Innovation, Network Capabilities, and Sustainable Development of Regional Economies in China," Sustainability, MDPI, vol. 11(17), pages 1-21, September.
    22. Zhijun Feng & Hechang Cai & Wen Zhou, 2020. "Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    23. Niccolò Innocenti & Francesco Capone & Luciana Lazzeretti, 2020. "Knowledge networks and industrial structure for regional innovation: An analysis of patents collaborations in Italy," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 55-72, February.
    24. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
    25. Paul Almeida & Jan Hohberger & Pedro Parada, 2011. "Individual scientific collaborations and firm-level innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(6), pages 1571-1599, December.
    26. Magnus Olsén Hammarfjord & Tommy Roxenhall, 2017. "The Relationships Between Network Commitment, Antecedents, And Innovation In Strategic Innovation Networks," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-36, May.
    27. Robert Huggins & Andrew Johnston & Rebecca Steffenson, 2008. "Universities, knowledge networks and regional policy," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(2), pages 321-340.
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    Cited by:

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    2. Bartolomé Marco-Lajara & Eduardo Sánchez-García & Javier Martínez-Falcó & Esther Poveda-Pareja, 2022. "Regional Specialization, Competitive Pressure, and Cooperation: The Cocktail for Innovation," Energies, MDPI, vol. 15(15), pages 1-17, July.
    3. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

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