IDEAS home Printed from https://ideas.repec.org/a/bba/j00008/v2y2024i3p70-89d386.html
   My bibliography  Save this article

Research on the Impact of Scientific and Technological Talent Agglomeration on Green Development

Author

Listed:
  • Yunqian Hu

    (School of Economics and Management, Xinjiang University, Urumqi, China)

  • Pu Hao

    (School of Economics and Management, Xinjiang University, Urumqi, China)

Abstract

With the intensification of the global ecological crisis, promoting green development has become a key path to achieve sustainable development. Based on the panel data of 30 provincial-level administrative regions in China from 2011 to 2022, this paper systematically examines the impact of scientific and technological talent agglomeration on regional green development and its mechanism of action. The study constructs a comprehensive evaluation index system of regional green development level, adopts location entropy to measure the degree of scientific and technological talent concentration, and empirically analyses it by using the fixed effect model, mediation effect model and moderating effect model. The study finds that (1) scientific and technological talent concentration has a significant promotion effect on green development, and this conclusion still holds after various robustness tests and endogeneity treatment; (2) from the perspective of regional heterogeneity, the green development effect of scientific and technological talent concentration is significant in the eastern region, while it is not significant in the central and western regions; from the perspective of period heterogeneity, the promotion effect of scientific and technological talent concentration is more significant after the introduction of ‘The Outline of National Innovation-Driven Development Strategy’; from the perspective of Internet development, the promotion effect is more significant; from the perspective of the heterogeneity of period, the promotion effect is more significant; from the perspective of heterogeneity of the level of Internet development, scientific and technological talent agglomeration shows a stronger promotion effect in regions with a lower level of Internet development; (3) the mechanism test shows that scientific and technological talent agglomeration can promote green development through two paths of enhancing the level of public environmental concern and promoting green technological innovation, and at the same time, the level of marketisation and the government's attention to scientific and technological talent can positively regulate this kind of promotion. Based on the conclusions of the study, this paper puts forward policy suggestions to systematically improve the level of regional scientific and technological talent concentration, and to give full play to the effects of external supervision and technological innovation.

Suggested Citation

  • Yunqian Hu & Pu Hao, 2024. "Research on the Impact of Scientific and Technological Talent Agglomeration on Green Development," Journal of Information Economics, Anser Press, vol. 2(3), pages 70-89, September.
  • Handle: RePEc:bba:j00008:v:2:y:2024:i:3:p:70-89:d:386
    as

    Download full text from publisher

    File URL: https://www.anserpress.org/journal/jie/2/3/36/pdf
    Download Restriction: no

    File URL: https://www.anserpress.org/journal/jie/2/3/36
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Xiaoyun, 2023. "Role of green finance and investment in sustainable resource development in China," Resources Policy, Elsevier, vol. 86(PA).
    2. Mariani, Marcello & Dwivedi, Yogesh K., 2024. "Generative artificial intelligence in innovation management: A preview of future research developments," Journal of Business Research, Elsevier, vol. 175(C).
    Full references (including those not matched with items on IDEAS)

    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. Eisenreich, Anja & Just, Julian & Gimenez-Jimenez, Daniela & Füller, Johann, 2024. "Revolution or inflated expectations? Exploring the impact of generative AI on ideation in a practical sustainability context," Technovation, Elsevier, vol. 138(C).
    2. Pedota, Mattia & Cicala, Francesco & Basti, Alessio, 2024. "A Wild Mind with a Disciplined Eye: Unleashing Human-GenAI Creativity Through Simulated Entity Elicitation," OSF Preprints 3bn95, Center for Open Science.
    3. Ye, Wuyi & Hu, Chenglong & Guo, Ranran, 2024. "Tail risk network of Chinese green-related stocks market," Finance Research Letters, Elsevier, vol. 67(PB).
    4. Dubey, Rameshwar & Gunasekaran, Angappa & Papadopoulos, Thanos, 2024. "Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    5. Yarong Shi & Bo Yang, 2025. "Green finance instruments and empowering sustainability in East Asian economies," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-9, December.
    6. Chen, Jin & Meng, Wenfei & Dong, Yang & Zhou, Wei, 2025. "Geographic matching analysis between green finance development and carbon emissions in China’s new era of environmental transition," Research in International Business and Finance, Elsevier, vol. 73(PA).
    7. José Manuel Saiz-Alvarez, 2024. "Innovation Management: A Bibliometric Analysis of 50 Years of Research Using VOSviewer ® and Scopus," World, MDPI, vol. 5(4), pages 1-28, October.
    8. Mitra Madanchian, 2024. "Generative AI for Consumer Behavior Prediction: Techniques and Applications," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    9. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
    10. David Ernesto Salinas-Navarro & Eliseo Vilalta-Perdomo & Rosario Michel-Villarreal, 2024. "Empowering Nanostores for Competitiveness and Sustainable Communities in Emerging Countries: A Generative Artificial Intelligence Strategy Ideation Process," Sustainability, MDPI, vol. 16(24), pages 1-31, December.
    11. Pedota, Mattia & Cicala, Francesco & Basti, Alessio, 2024. "A Wild Mind and a Disciplined Eye: Unleashing Human-GenAI Creativity Through Simulated Entity Elicitation," OSF Preprints 3bn95_v1, Center for Open Science.
    12. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    13. Li, Dongxia, 2024. "Green finance, fossil fuel efficiency, and sustainable development in OECD," Resources Policy, Elsevier, vol. 98(C).
    14. Singh, Kuldeep & Chatterjee, Sheshadri & Mariani, Marcello, 2024. "Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamis," Technovation, Elsevier, vol. 133(C).
    15. Ailing Liu & Shaofeng Wang, 2024. "Generative artificial intelligence (GenAI) and entrepreneurial performance: implications for entrepreneurs," The Journal of Technology Transfer, Springer, vol. 49(6), pages 2389-2412, December.
    16. Diana C. Pérez-Bustamante Yábar & Juan José García-Machado, 2025. "Competences that affect the gastronomic entrepreneur for a proper business management," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-34, December.

    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:bba:j00008:v:2:y:2024:i:3:p:70-89:d:386. 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: Ramona Wang (email available below). General contact details of provider: https://www.anserpress.org .

    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.