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Spatial Spillovers of Regional Innovation: Evidence from Chinese Provinces

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  • Huasheng Song
  • Min Zhang

Abstract

This article assesses whether and how the effects of spatial spillovers contribute to regional innovation growth in China. Using provincial-level data over the 2003–2011 period and employing a spatial Durbin model (SDM), the empirical results reveal strong spillover effects in both the input and output processes of regional innovation. An area can benefit from innovation in the surrounding areas through channels that include innovation output, R&D input, and agglomeration economies. By contrast, externalities from absorptive capacity are spatially localized, and foreign direct investment (FDI) can lead to negative spillover effects in this context. Moreover, different types of patented innovations exhibit a variety of patterns.

Suggested Citation

  • Huasheng Song & Min Zhang, 2017. "Spatial Spillovers of Regional Innovation: Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 2104-2122, September.
    • Handle: RePEc:mes:emfitr:v:53:y:2017:i:9:p:2104-2122
    DOI: 10.1080/1540496X.2017.1284061
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    Cited by:

    1. Min Zhang & Seung‐hun Chung, 2020. "Is air pollution detrimental to regional innovation? Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1657-1689, December.
    2. Zhang, Xiaoqian & Yu, Mingqiang & Chen, Gaoquan, 2020. "Does mixed-ownership reform improve SOEs' innovation? Evidence from state ownership," China Economic Review, Elsevier, vol. 61(C).
    3. Jiangyuan Fu & Huidan Xue & Fayuan Wang & Liming Wang, 2023. "The Impact of High-Quality Energy Development and Technological Innovation on the Real Economy of the Yangtze River Economic Belt in China: A Spatial Economic and Threshold Effect Analysis," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    4. Chunyun Wang & Senyu Xing & Lixiao Xu, 2023. "A Multi-Regional Input–Output Model to Measure the Spatial Spillover of R&D Capital," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    5. Min Zhang & Mark D. Partridge & Huasheng Song, 2020. "Amenities and the geography of innovation: evidence from Chinese cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 105-145, August.
    6. Xinbao Tian & Jiguang Wang, 2018. "Research on Spatial Correlation in Regional Innovation Spillover in China Based on Patents," Sustainability, MDPI, vol. 10(9), pages 1-14, August.
    7. Dongsheng Yan & Wei Sun, 2022. "Study on the Evolution, Driving Factors, and Regional Comparison of Innovation Patterns in the Yangtze River Delta," Land, MDPI, vol. 11(6), pages 1-21, June.
    8. Stojčić, Nebojša & Aralica, Zoran & Anić, Ivan-Damir, 2019. "Spatio-temporal determinants of the structural and productive transformation of regions in Central and East European countries," Economic Systems, Elsevier, vol. 43(3).

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