ISSN: 1648 - 4460

International Journal of Scholarly Papers

VU KHF

Transformations  in
Business & Economics

Transformations in
Business & Economics

  • © Vilnius University, 2002-2024
  • © Brno University of Technology, 2002-2024
  • © University of Latvia, 2002-2024
Article

THE SPATIAL EFFECT OF THE IMPLEMENTATION OF SCI-TECH TALENT POLICY DRIVEN BY SCI-TECH FINANCIAL ECOSYSTEM2
Lei Fang, Xiaoming Jia, Xiaoxuan Wei

ABSTRACT: As the demand for sci-tech expertise continues to grow, it becomes increasingly important to scientifically and effectively evaluate the implementation effect of sci-tech talent policies in order to provide a solid foundation for subsequent policy adjustments. Although existing studies have examined the impact of policy text elements, such as policy objectives, policy instruments, and policy types, on the implementation of sci-tech talent policies, few studies have examined how external policy elements, such as the macro-ecological and innovation environments, affect the implementation of these policies and the regional differentiation of the implementation effect. To explore the relationship between the sci-tech financial ecosystem (STF) and the implementation effect of sci-tech talent policies, drawing on the theories of talent ecology and financial ecology, the implementation effect of these policies driven by the STF and its spatial heterogeneity were analysed using the 2011-2022 Chinese inter-provincial panel data and the dynamic Spatial Durbin Model. The results show that the STF and the sci-tech talent policy implementation effect exhibit a significant spatial auto-correlation. Enhancing the level of STF development is conducive to improving the implementation effect of sci-tech talent policies in a region. A positive spillover effect is observed in the central region of China, while a negative spillover effect is observed in the western region. The conclusions obtained from this study provide novel insights into the regional disparities in the implementation of sci-tech talent policies and offer significant practical implications for enhancing such policies from the standpoint of the STF and the further development of sci-tech talent hubs.

KEYWORDS:  sci-tech talent policy, Sci-tech financial ecosystem, Spatial Durbin Model, spatial heterogeneity

JEL classification:  H53, J15, Q54.

2Acknowledgments:  This study was supported by the 2024 Soft Science Project of Henan Province (No. 242400411084), 2023 Support Project for Innovative Talents in Philosophy and Social Sciences in Higher Education Institutions of Henan Province (No 2023-CXRC-18).

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Scholarly papers Transformations in Business & Economics
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