IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p15934-d988201.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/15934/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/15934/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Peiró-Palomino, Jesús & Perugini, Francesco, 2022. "Regional innovation disparities in Italy: The role of governance," Economic Systems, Elsevier, vol. 46(4).
    3. 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.
    4. 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).
    5. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    6. 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.
    7. Sharma, Abhijit & Sousa, Cristina & Woodward, Richard, 2022. "Determinants of innovation outcomes: The role of institutional quality," Technovation, Elsevier, vol. 118(C).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.
    4. Linbin Zhu & Stavros Sindakis & Gazal Showkat, 2024. "Examining the Influence of Mayoral Overconfidence on Government Innovation Investment and City Innovation Power: an Environmental Boundary Model Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14420-14451, September.
    5. Guo, Qing & Wang, Hongsen & Lu, Xin & Qu, Long, 2024. "Effects of innovation environment on carbon intensity: The moderating role of information industry," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 967-977.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Charles Yuji Horioka & Luigi Ventura, 2024. "Why Do Europeans Save? Micro-Evidence from the Household Finance and Consumption Survey," Discussion Paper Series DP2024-26, Research Institute for Economics & Business Administration, Kobe University.
    2. Gu, Xinhua & Tam, Pui Sun, 2013. "The saving–growth–inequality triangle in China," Economic Modelling, Elsevier, vol. 33(C), pages 850-857.
    3. Chang, Xiao & An, Tongliang & Tam, Pui Sun & Gu, Xinhua, 2020. "National savings rate and sectoral income distribution: An empirical look at China," China Economic Review, Elsevier, vol. 61(C).
    4. Curtis, Chadwick C. & Lugauer, Steven & Mark, Nelson C., 2017. "Demographics and aggregate household saving in Japan, China, and India," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 175-191.
    5. Charles Yuji Horioka, 2021. "Is the selfish life-cycle model more applicable in Japan and, if so, why? A literature survey," Review of Economics of the Household, Springer, vol. 19(1), pages 157-187, March.
    6. Bollinger, Christopher & Ding, Xiaozhou & Lugauer, Steven, 2022. "The expansion of higher education and household saving in China," China Economic Review, Elsevier, vol. 71(C).
    7. Yu, Yan-Yan & Liang, Qiao-mei & Liu, Li-Jing, 2023. "Impact of population ageing on carbon emissions: A case of China's urban households," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 86-100.
    8. Miaoxi Zhao & Xingjian Liu & Ben Derudder & Ye Zhong & Wei Shen, 2015. "Mapping producer services networks in mainland Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3018-3034, December.
    9. Steven Lugauer & Jinlan Ni & Zhichao Yin, 2014. "Micro-Data Evidence on Family Size and Chinese Saving Rates," Working Papers 023, University of Notre Dame, Department of Economics, revised Jun 2014.
    10. Liu, Lu & Wang, Qiuyun & Zhang, Anquan, 2019. "The impact of housing price on non-housing consumption of the Chinese households: A general equilibrium analysis," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 152-164.
    11. Yating Dai & Jian Cheng & Daolin Zhu, 2022. "Understanding the Impact of Land Supply Structure on Low Consumption: Empirical Evidence from China," Land, MDPI, vol. 11(4), pages 1-18, April.
    12. Gu, Xinhua & Tam, Pui Sun & Li, Guoqiang & Zhao, Qingbin, 2020. "An alternative explanation for high saving in China: Rising inequality," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1082-1094.
    13. Du, Xuyang & Mohd, Saidatulakmal, 2024. "Urban–Rural heterogeneity in the effect of population ageing on the savings rate of urban and rural households in China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 999-1010.
    14. Manger, Mark S. & Matthews, J. Scott, 2021. "Knowing when to splurge: Precautionary saving and Chinese-Canadians," Journal of Asian Economics, Elsevier, vol. 76(C).
    15. Xiaoyu Deng & Jing Tian & Rong Chen, 2019. "Effect of Social Security System on Consumption through Income and Uncertainty: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-16, March.
    16. Le Wen & Krishna P. Paudel & Qinying He, 2022. "Temporary Migration and Savings Rates: Evidence from China," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 2810-2849, December.
    17. Yu, Jihai & Zhu, Guozhong, 2013. "How uncertain is household income in China," Economics Letters, Elsevier, vol. 120(1), pages 74-78.
    18. Liu, Lu, 2023. "Mortgage loan and housing market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 736-749.
    19. van Treeck, Till. & Sturn, Simon., 2012. "Income inequality as a cause of the Great Recession? : A survey of current debates," ILO Working Papers 994709343402676, International Labour Organization.
    20. Bakari, Sayef, 2021. "Do researchers affect economic growth?," MPRA Paper 108788, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15934-:d:988201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.