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Innovation efficiency and spatial spillover in urban agglomerations: A case of the Beijing‐Tianjin‐Hebei, the Yangtze River Delta, and the Pearl River Delta

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  • Yanwen Sheng
  • Jinli Zhao
  • Xuebo Zhang
  • Jinping Song
  • Yi Miao

Abstract

Based on panel data of innovation inputs and outputs in 53 cities of the three major Chinese urban agglomerations (UAs) spanning the 2001–2015 period, this study examines the influence of the spatial spillover effect among cities on innovation efficiency in UAs using the SFA method and a spatial econometric model. Three main conclusions can be draw from the empirical results. First, the innovation efficiency in the three UAs has increased over the research period, but there is enormous potential for improvement. Second, owing to the close socioeconomic linkages and the flow of innovation resources, there is a significantly positive spatial spillover effect between cities on innovation efficiency in the three UAs. In other words, innovation efficiency in a local city was positively influenced by the other cities in the UA. Particularly, the innovation efficiency in a local city is influenced by factors related to not only the city itself but also other cities in the UA. Third, as the geographical distance increases, the spillover effect on innovation efficiency shows nonlinear variations, indicating that the excessive expansion in UAs may not be attributed to innovation development.

Suggested Citation

  • Yanwen Sheng & Jinli Zhao & Xuebo Zhang & Jinping Song & Yi Miao, 2019. "Innovation efficiency and spatial spillover in urban agglomerations: A case of the Beijing‐Tianjin‐Hebei, the Yangtze River Delta, and the Pearl River Delta," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1280-1310, December.
    • Handle: RePEc:bla:growch:v:50:y:2019:i:4:p:1280-1310
    DOI: 10.1111/grow.12329
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    Cited by:

    1. Ko, Dr. Wai Wai & Chen, Prof. Yantai & Chen, Dr. Cheng-Hao Steve & Wu, Dr. Meng-Shan Sharon & Liu, Prof. Gordon, 2021. "Proactive Environmental Strategy, Foreign Institutional Pressures, and Internationalization of Chinese SMEs," Journal of World Business, Elsevier, vol. 56(6).
    2. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    3. Yi Ji & Hechang Cai & Zilong Wang, 2023. "Impact of Industrial Synergy on the Efficiency of Innovation Resource Allocation: Evidence from Chinese Metropolitan Areas," Land, MDPI, vol. 12(1), pages 1-16, January.
    4. Sebastian Losacker & Ingo Liefner, 2020. "Implications of China's innovation policy shift: Does “indigenous” mean closed?," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1124-1141, September.
    5. Chuankai Yang & Shuaijun Xue & Peng Gao & Xu Guo, 2024. "Examining the Impact of Urban Connectivity on Urban Innovation Efficiency: An Empirical Study of Yangtze River Delta in China," Sustainability, MDPI, vol. 16(13), pages 1-20, July.
    6. Lu Zhang & Renyan Mu & Shuhua Hu & Quan Zhang & Song Wang, 2021. "Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    7. Wenzhong Ye & Yaping Hu & Lingming Chen, 2021. "Urban Innovation Efficiency Improvement in the Guangdong–Hong Kong–Macao Greater Bay Area from the Perspective of Innovation Chains," Land, MDPI, vol. 10(11), pages 1-19, October.
    8. Juanfeng Zhang & Danxia Zhang & Lele Li & Hui Zeng, 2020. "Regional impact and spillover effect of public infrastructure investment: An empirical study in the Yangtze River Delta, China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1749-1765, December.

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