4.4 Article

Science and technology insurance and regional innovation: evidence from provincial panel data in China

Journal

Publisher

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09537325.2022.2053518

Keywords

S&T insurance; regional innovation; dynamic panel model; spillover effect

Funding

  1. Major Program of National Fund of Philosophy and Social Science of China [21ZDA011]
  2. National Natural Science Foundation of China (NSFC) [71603190, 72003143, 71974147]
  3. National Social Science Foundation of China [19BGJ033]
  4. Natural Science Foundation of Shanghai [21ZR1421100]
  5. Fundamental Research Funds for the Central Universities [2020SK038]

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This study examines the relationship between science and technology insurance (S&T insurance) and regional innovation from a macro innovation input-output perspective. The results show that S&T insurance has a significant positive effect on innovation inputs but a negative effect on innovation outputs. There is also regional and subject heterogeneity in the role of S&T insurance.
This study examines the relationship between science and technology insurance (S&T insurance) and regional innovation from a macro innovation input-output perspective. Based on provincial panel data from 2010-2019, the impact of S&T insurance on regional innovation is examined using a dynamic panel regression model. The results indicate that S&T insurance has a significant promotion effect on innovation inputs with a lagged effect but a negative effect on innovation outputs. Further, there is regional and subject heterogeneity in the role of S&T insurance. S&T insurance has a significant effect on innovation input in the central and eastern regions, but not in the western regions; S&T insurance has a significant effect on innovation in enterprises, but not on non-enterprise organisations. This study also examines whether there is a spillover effect of S&T insurance on regional innovation. The results show a spillover effect on innovation inputs but no spillover effect on innovation outputs. Finally, the authors suggest promoting the development of the S&T insurance market to improve regional innovation capacity.

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