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An Empirical Study Evaluating the Symbiotic Efficiency of China’s Provinces and the Innovation Ecosystem in the High‐Tech Industry

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  • Jianzhao Yang

Abstract

The traditional innovation model has been unable to adapt to high‐speed development, so the role of the innovation ecosystem has become more important. In this paper, we introduce ecology into industrial innovation and construct the symbiotic model to study the symbiotic evolution process of the high‐tech industrial innovation ecosystem. This paper takes China’s national high‐tech industrial park as a case to study its symbiotic efficiency through empirical research, which uses a stochastic frontier analysis as a research method, constructs a complete index evaluation system, and analyzes the influencing factors. According to the results, we find that an environment conducive to the symbiotic efficiency has emerged, but development and efficiency of high‐tech ecosystems in different regions of China are highly dispersed and unbalanced. There is room for improvement in symbiosis efficiency, but the difficulty is gradually increasing. Based on the evaluation of symbiotic efficiency of innovation ecosystem of high‐tech industry and the consideration of influencing factors such as policy, economy, society, and technology, this paper puts forward the countermeasures of high‐tech industry supporting regional economy.

Suggested Citation

  • Jianzhao Yang, 2022. "An Empirical Study Evaluating the Symbiotic Efficiency of China’s Provinces and the Innovation Ecosystem in the High‐Tech Industry," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:1391415
    DOI: 10.1155/2022/1391415
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    1. Cowan, Robin & Zinovyeva, Natalia, 2013. "University effects on regional innovation," Research Policy, Elsevier, vol. 42(3), pages 788-800.
    2. Ron Adner & Rahul Kapoor, 2010. "Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations," Strategic Management Journal, Wiley Blackwell, vol. 31(3), pages 306-333, March.
    3. Holger Graf & Tobias Henning, 2010. "Public Research in Regional Networks of Innovators: A Comparative Study of Four East-German Regions," Springer Books, in: Andreas Freytag & Roy Thurik (ed.), Entrepreneurship and Culture, chapter 0, pages 97-128, Springer.
    4. Keith W. Glaister & Peter J. Buckley, 1996. "Strategic Motives For International Alliance Formation," Journal of Management Studies, Wiley Blackwell, vol. 33(3), pages 301-332, May.
    5. Michael Fritsch & Viktor Slavtchev, 2010. "How does industry specialization affect the efficiency of regional innovation systems?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 87-108, August.
    6. Simon Philbin, 2008. "Process model for university‐industry research collaboration," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 11(4), pages 488-521, October.
    7. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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