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Does Regional Innovation Environment Have an Impact on the Gathering of Technological Talent? An Empirical Study Based on 31 Provinces in China

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Listed:
  • Xiaoqing Ai

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Hongda Zhang

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Keyu Guo

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Fubin Shi

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

Driven by innovation, the implementation of a strategy for developing a quality workforce is the key to promoting the high-quality development of China’s economy. Based on the panel data of 31 provinces on the Chinese mainland from 2013 to 2020, a spatial econometric model is used to explore the impact of the regional environment, regional heterogeneity and its spatial effect on the gathering of technological talent. The results show that: (1) The improvement of the regional innovation environment can significantly promote the gathering of technological talent in a region; (2) The regional innovation environment has an obvious regional effect on the gathering of technological talent, which is manifested in the strong promotion of the eastern and western regions, and an obvious siphon effect in the eastern region, but it is not the key factor affecting the gathering of technological talent in the central region; (3) The gathering of technological talent has a significant spatial effect among neighboring provinces. Therefore, improving the regional innovation environment, adapting measures to local conditions in different regions and strengthening economic cooperation among provinces have become the key to the rational allocation of technology talent resources.

Suggested Citation

  • Xiaoqing Ai & Hongda Zhang & Keyu Guo & Fubin Shi, 2022. "Does Regional Innovation Environment Have an Impact on the Gathering of Technological Talent? An Empirical Study Based on 31 Provinces in China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15934-:d:988201
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    1. Chao, Chi-Chur & Laffargue, Jean-Pierre & Yu, Eden, 2011. "The Chinese saving puzzle and the life-cycle hypothesis: A revaluation," China Economic Review, Elsevier, vol. 22(1), pages 108-120, March.
    2. Chi-Chur Chao & Jean-Pierre Laffargue & Eden S. H. Yu, 2011. "The Chinese saving puzzle and the life-cycle hypothesis: A revaluation," PSE-Ecole d'économie de Paris (Postprint) hal-00645288, HAL.
    3. Shu Yu & Takaya Yuizono, 2021. "A Proximity Approach to Understanding University-Industry Collaborations for Innovation in Non-Local Context: Exploring the Catch-Up Role of Regional Absorptive Capacity," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    4. Esmaeilpoorarabi, Niusha & Yigitcanlar, Tan & Guaralda, Mirko & Kamruzzaman, Md., 2018. "Does place quality matter for innovation districts? Determining the essential place characteristics from Brisbane’s knowledge precincts," Land Use Policy, Elsevier, vol. 79(C), pages 734-747.
    5. Zhang, Liangliang & Huang, Shoujun, 2022. "Social capital and regional innovation efficiency: The moderating effect of governance quality," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 343-359.
    6. Simonen, Jaakko & McCann, Philip, 2008. "Firm innovation: The influence of R&D cooperation and the geography of human capital inputs," Journal of Urban Economics, Elsevier, vol. 64(1), pages 146-154, July.
    7. Xu, Aiting & Qiu, Keyang & Jin, Canyang & Cheng, Caijuan & Zhu, Yuhan, 2022. "Regional innovation ability and its inequality: Measurements and dynamic decomposition," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    8. Xu, Xilei & Dong, Xuebing & Chi, Ruonan & Li, Jixia, 2022. "How does heterogeneous spillover of knowledge affect economic geography? ——An extended local spillover model," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    9. Sharma, Abhijit & Sousa, Cristina & Woodward, Richard, 2022. "Determinants of innovation outcomes: The role of institutional quality," Technovation, Elsevier, vol. 118(C).
    10. Guangyou Zhou & Kuangxiong Gong & Sumei Luo & Guohu Xu, 2018. "Inclusive Finance, Human Capital and Regional Economic Growth in China," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    11. LeVasseur, Paul M., 1969. "A study of inter-relationships between education, manpower and economy," Socio-Economic Planning Sciences, Elsevier, vol. 2(2-4), pages 269-295, April.
    12. Peiró-Palomino, Jesús & Perugini, Francesco, 2022. "Regional innovation disparities in Italy: The role of governance," Economic Systems, Elsevier, vol. 46(4).
    13. Chi-Chur Chao & Jean-Pierre Laffargue & Eden S. H. Yu, 2011. "The Chinese saving puzzle and the life-cycle hypothesis: A revaluation," Post-Print hal-00645288, HAL.
    14. Wang, Eric C., 2007. "R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 345-360.
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    Cited by:

    1. Peng Li & Xiangrong Li & Gonglin Yuan, 2023. "Cross-Regional Allocation of Human Capital and Sustainable Development of China’s Regional Economy—Based on the Perspective of Population Mobility," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    2. Lu Liu & Shenshen Si & Jing Li, 2023. "Research on the Effect of Regional Talent Allocation on High-Quality Economic Development—Based on the Perspective of Innovation-Driven Growth," Sustainability, MDPI, vol. 15(7), pages 1-21, April.
    3. Wei Hu & Jingsong Liu, 2023. "The Coupling and Coordination of Urban Modernization and Low-Carbon Development," Sustainability, MDPI, vol. 15(19), pages 1-19, September.

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