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Innovative talent agglomeration, spatial spillover effects and regional innovation performance—Analyzing the threshold effect of government support

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  • Li Yan
  • Sun Fan
  • Li Mengyu

Abstract

As the primary source of innovation in science and technology, the gathering of creative talent plays a significant role in fostering regional innovation and providing the impetus needed to realize the Chinese people’s aspiration of a great national rejuvenation. Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. The structural mutation, within a certain threshold range, plays the role of efficient promotion, providing reference for improving regional innovation level.

Suggested Citation

  • Li Yan & Sun Fan & Li Mengyu, 2024. "Innovative talent agglomeration, spatial spillover effects and regional innovation performance—Analyzing the threshold effect of government support," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-16, October.
  • Handle: RePEc:plo:pone00:0311672
    DOI: 10.1371/journal.pone.0311672
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    1. Sun, Kege & Zhou, Fengqi & Liu, Xinyu, 2024. "Study on the impact of emission trading scheme on technological progress of power generation sector in China: A perspective from energy transition," Energy, Elsevier, vol. 302(C).
    2. Gu, Hengyu & Wang, Junhui & Ling, Yingkai, 2024. "Economic geography of talent migration and agglomeration in China: A dual-driver framework," China Economic Review, Elsevier, vol. 86(C).
    3. Qiu, Jun & Lyu, Ping & Tian, Min, 2024. "Do talent housing policies foster regional innovation? An analysis based on labor force heterogeneity," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 150-164.
    4. Palivos, Theodore & Wang, Ping, 1996. "Spatial agglomeration and endogenous growth," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 645-669, December.
    5. Li, Lu & Zhou, Shiqi & Xu, Wei & Dai, Jiapeng, 2024. "Green innovation's impact on corporate financing: New insights from BRICS economies," Finance Research Letters, Elsevier, vol. 62(PB).
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    Cited by:

    1. Wei Mo & Jiumei Chen & Jing Shi & Yue Long, 2025. "Impact of government funding for science and technology on regional innovation capability: An empirical study on a key economic and technological innovation zone in China," SAGE Open, , vol. 15(4), pages 21582440251, October.

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