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China's regional innovation capacity in transition: An empirical approach

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  • Li, Xibao
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    Abstract

    Drawing upon regional innovation system literature, this paper estimates a stochastic frontier model to explain the increasing disparity in innovation performance between Chinese regions. The estimated results show that government support, the constitution of the R&D performers, and the regional industry-specific innovation environment are significant determinants of innovation efficiency. Due to the large difference in the firms' innovation performance across the regions, when regional innovation modes are transformed from university and research institute dominant to firm dominant, the overall innovation efficiency between regions becomes more and more disparate, which actually underlies the widening gap in regional innovation performance.

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    Bibliographic Info

    Article provided by Elsevier in its journal Research Policy.

    Volume (Year): 38 (2009)
    Issue (Month): 2 (March)
    Pages: 338-357

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    Handle: RePEc:eee:respol:v:38:y:2009:i:2:p:338-357

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    Web page: http://www.elsevier.com/locate/respol

    Related research

    Keywords: Patent Regional innovation system Knowledge production function Stochastic frontier model;

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    Cited by:
    1. Li, Xibao, 2012. "Behind the recent surge of Chinese patenting: An institutional view," Research Policy, Elsevier, vol. 41(1), pages 236-249.
    2. Godinho, Manuel Mira & Ferreira, Vítor, 2012. "Analyzing the evidence of an IPR take-off in China and India," Research Policy, Elsevier, vol. 41(3), pages 499-511.
    3. Liu, Meng-chun & Chen, Shin-Horng, 2012. "MNCs’ offshore R&D networks in host country's regional innovation system: The case of Taiwan-based firms in China," Research Policy, Elsevier, vol. 41(6), pages 1107-1120.
    4. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    5. Axel Schaffer & Jan Rauland, 2011. "Regional efficiency in generating technological knowledge," ERSA conference papers ersa10p1108, European Regional Science Association.
    6. Chen Kaihua & Kou Mingting, 2014. "Staged efficiency and its determinants of regional innovation systems: a two-step analytical procedure," The Annals of Regional Science, Springer, vol. 52(2), pages 627-657, March.

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