IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v67y2024ipas1544612324008626.html
   My bibliography  Save this article

Population aging and corporate human capital restructuring

Author

Listed:
  • Xiao, Fenghua
  • Wang, Jinbo
  • Li, Huijun
  • Yang, Juan

Abstract

Herein, we examine how population aging influences corporate human capital structure adjustment. The results shows that population aging can upgrade corporate human capital structure, with artificial intelligence as a potential mechanism at work. These results remain valid under various robustness and endogeneity analyses.

Suggested Citation

  • Xiao, Fenghua & Wang, Jinbo & Li, Huijun & Yang, Juan, 2024. "Population aging and corporate human capital restructuring," Finance Research Letters, Elsevier, vol. 67(PA).
  • Handle: RePEc:eee:finlet:v:67:y:2024:i:pa:s1544612324008626
    DOI: 10.1016/j.frl.2024.105832
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324008626
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105832?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Linjiang & Shi, Xiaochuan & Bao, Yaxiong & Gao, Lihua & Ma, Chao, 2023. "Explainable artificial intelligence for digital finance and consumption upgrading," Finance Research Letters, Elsevier, vol. 58(PC).
    2. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    3. Ni Qin & Dongmin Kong, 2021. "Human Capital and Entrepreneurship," Journal of Human Capital, University of Chicago Press, vol. 15(4), pages 513-553.
    4. Javier Cravino & Andrei Levchenko & Marco Rojas, 2022. "Population Aging and Structural Transformation," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 479-498, October.
    5. Yu, Mingzhe & Deng, Xin, 2021. "The Inheritance of Marketization Level and Regional Human Capital Accumulation: Evidence from China," Finance Research Letters, Elsevier, vol. 43(C).
    6. Bai, Min & Li, Shihe & Lien, Donald & Yu, Chia-Feng (Jeffrey), 2022. "The winner's curse in high-tech enterprise certification: Evidence from stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Qiuxing Chen & Qiaozhu Chi & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2022. "Does Population Aging Impact China’s Economic Growth?," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    8. Wang, Chengzhang & Zheng, Min & Bai, Xiaoming & Li, Youwei & Shen, Wei, 2023. "Future of jobs in China under the impact of artificial intelligence," Finance Research Letters, Elsevier, vol. 55(PA).
    9. Chan Chen & Jie Li & Jian Huang, 2022. "Spatial–Temporal Patterns of Population Aging in Rural China," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    10. You, Li & Zhang, Zongyi & Wang, Wei & Zhao, Xuezhou, 2024. "Learning from innovation award winners? Technology spillovers and firm innovation," International Review of Financial Analysis, Elsevier, vol. 92(C).
    11. Ke Zhang & Hao Sun & Xiangyu Li, 2022. "Aging Population Spatial Distribution Discrepancy and Impacting Factor," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    12. Li, Yong & Zhao, Xinmeng & Wang, Bo, 2024. "Public education expenditure and corporate human capital: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).
    13. Fu, Buben & Wang, Bin, 2024. "Demographic change and natural interest rate of China," Finance Research Letters, Elsevier, vol. 59(C).
    14. Feng Pan & Keyi Zhu & Lin Wang, 2022. "Impact Analysis of Population Aging on Public Education Financial Expenditure in China," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    15. Chang, Qing & Wu, Mengtao & Zhang, Longtian, 2024. "Endogenous growth and human capital accumulation in a data economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 298-312.
    16. Giudici, Paolo & Raffinetti, Emanuela, 2023. "SAFE Artificial Intelligence in finance," Finance Research Letters, Elsevier, vol. 56(C).
    17. Anagnostopoulou, Seraina C. & Avgoustaki, Argyro, 2023. "The impact of human resource practices on corporate investment efficiency," International Review of Financial Analysis, Elsevier, vol. 87(C).
    18. Kexu Wu & Zhiwei Tang & Longpeng Zhang, 2022. "Population Aging, Industrial Intelligence and Export Technology Complexity," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    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. Wang, Bing & Liu, Yanyan & Yang, Xiangyu, 2024. "Digital economy and urban entrepreneurial activity," Finance Research Letters, Elsevier, vol. 66(C).
    2. Luo, Kang & Lee, Chien-Chiang & Zeng, Mingli & Hu, Weihui, 2024. "How does the development of digital economy in central cities promote the coordinated development of regions? Evidence from 19 urban agglomerations in China," Technology in Society, Elsevier, vol. 78(C).
    3. Cui, Zhuqing & Diwu, Simin, 2024. "Human capital upgrading and enterprise innovation efficiency," Finance Research Letters, Elsevier, vol. 65(C).
    4. Xie, Xiaoyu & Yan, Jun, 2024. "How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data," International Review of Economics & Finance, Elsevier, vol. 94(C).
    5. Liu, Xukang & Ma, Chaoqun & Ren, Yi-Shuai, 2024. "How AI powers ESG performance in China's digital frontier?," Finance Research Letters, Elsevier, vol. 70(C).
    6. Wang, Pengcheng & Yang, Xuelin, 2024. "Social trust and household financial decision-making: An empirical study based on the usage of household financial technology," Finance Research Letters, Elsevier, vol. 70(C).
    7. Lee, Chien-Chiang & Qian, Anqi, 2024. "Regional differences, dynamic evolution, and obstacle factors of cultivated land ecological security in China," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    8. Chen, Guangren & Yu, Zuwei, 2024. "Digital finance, value cocreation, and supply chain resilience: Evidence from listed manufacturing firms in China," Finance Research Letters, Elsevier, vol. 70(C).
    9. Gaggl, Paul & Gray, Rowena & Marinescu, Ioana & Morin, Miguel, 2021. "Does electricity drive structural transformation? Evidence from the United States," Labour Economics, Elsevier, vol. 68(C).
    10. Li, WeiWei & Padmanabhan, Prasad & Huang, Chia-Hsing, 2024. "ESG and debt structure: Is the nature of this relationship nonlinear?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    12. Wang, Xinyi & Zhu, Ling, 2023. "How does export VAT rebates policy affect corporate investment efficiency? Evidence from corporate tax stickiness," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    13. Wang, Haijun & Ge, Chen & Du, Xiance & Feng, Yiqiang & Wang, Weicheng, 2024. "Does digital literacy reduce intergenerational income dependency?," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    14. Liu, Xinmeng & Zheng, Zhihong, 2024. "The impact of supply chain finance on supplier stability: The mediation role of corporate risk-taking," Finance Research Letters, Elsevier, vol. 65(C).
    15. Mauri Kotamaki & Jonne Lehtimaki, 2024. "Getting too old for this: Economic effects of ageing population in Finland," Discussion Papers 168, Aboa Centre for Economics.
    16. Tao Tang & Brayan Tillaguango & Rafael Alvarado & Ximena Songor-Jaramillo & Priscila Méndez & Stefania Pinzón, 2022. "Heterogeneity in the Causal Link between FDI, Globalization and Human Capital: New Empirical Evidence Using Threshold Regressions," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    17. Ma, Rui & Guo, Fei & Li, Dongdong, 2024. "Can public data availability affect stock price crash risk? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 94(C).
    18. Qiongzhi Liu & Dapeng Zhao, 2023. "A Study of the Impact of Population Aging on Fiscal Sustainability in China," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    19. Li, Xiao-Lin & Si, Deng-Kui, 2024. "Does financial market liberalization promote corporate radical innovation? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    20. Zhang, Ziqi & Su, Zhi & Tong, Fang, 2023. "Does digital transformation restrain corporate financialization? Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).

    More about this item

    Keywords

    Population aging; Artificial intelligence; Human capital structure adjustment;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    Statistics

    Access and download statistics

    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:eee:finlet:v:67:y:2024:i:pa:s1544612324008626. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.