IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v89y2026ics1544612325024833.html

Does the increasing burden of elderly population support inhibit enterprise innovation? The moderating role of financial resource allocation

Author

Listed:
  • Zhou, Tianhao
  • Du, Xiaojuan
  • Si, Mingke

Abstract

As the degree of population aging in China continues to deepen, the impact of the burden of supporting the elderly on economic and social development has become increasingly prominent. This paper systematically examines the impact of the burden of supporting the elderly on enterprise innovation based on data from Chinese listed companies from 2007 to 2023, and further analyzes the moderating role of financial resource allocation. The study finds that: first, the increasing burden of supporting the elderly significantly inhibits enterprise innovation; second, financial resource allocation plays an important moderating role in the relationship between the burden of supporting the elderly and enterprise innovation; third, human capital mediates the process in which the burden of supporting the elderly affects enterprise innovation; fourth, heterogeneous analysis indicates that the inhibitory effect of the burden of supporting the elderly on enterprise innovation varies among enterprises of different employee sizes. The research enriches the literature on the relationship between population aging and enterprise innovation, and provides policy implications for mitigating the impact of aging and promoting enterprise innovation development.

Suggested Citation

  • Zhou, Tianhao & Du, Xiaojuan & Si, Mingke, 2026. "Does the increasing burden of elderly population support inhibit enterprise innovation? The moderating role of financial resource allocation," Finance Research Letters, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:finlet:v:89:y:2026:i:c:s1544612325024833
    DOI: 10.1016/j.frl.2025.109234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325024833
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.109234?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Han, Qifeng & Li, Chunhui & Jin, Yulu, 2025. "The impact of intellectual property protection on the development of artificial intelligence in enterprises," International Review of Financial Analysis, Elsevier, vol. 105(C).
    2. Kong, Dongmin & Yang, Yiwei & Wang, Qin, 2023. "Innovative efficiency and firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    3. Jing, Zhongying & Li, Zheng & Zheng, Ping, 2025. "Population aging and corporate innovation Performance: evidence from China," International Review of Economics & Finance, Elsevier, vol. 101(C).
    4. Shengqing Ma & Yinjing Liang, 2023. "Human Resource Management Decision System University Based on Decision Model," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    5. Wang, Lili & Liang, Jian & Wang, Beibei, 2024. "Population aging and sustainable economic development: An analysis based on the role of green finance," Finance Research Letters, Elsevier, vol. 70(C).
    6. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    7. Aifan Ling & Jie Sun, 2024. "A robust financing theory of ICOs under demand uncertainty of products of token platforms," China Finance Review International, Emerald Group Publishing Limited, vol. 14(3), pages 549-594, October.
    8. Guo, Jing & Yu, Jiaqi & Tian, Ziqing, 2025. "Financial technology, population aging, and corporate innovation," International Review of Financial Analysis, Elsevier, vol. 100(C).
    9. Gianluigi Guido & Marta Maria Ugolini & Andrea Sestino, 2022. "Active ageing of elderly consumers: insights and opportunities for future business strategies," SN Business & Economics, Springer, vol. 2(1), pages 1-24, January.
    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. Du, Xu & Fang, Shuanxi, 2026. "Financial agglomeration, enterprise structural upgrading, and economic growth disparities," International Review of Financial Analysis, Elsevier, vol. 110(C).
    2. Hua, Ziping & Chen, Guangdong, 2025. "Urban financial institution density and corporate innovation information disclosure," Finance Research Letters, Elsevier, vol. 86(PD).
    3. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    4. Yin, Libo & Xin, Yu, 2024. "China's cognitive bias premium: An exploration of innovation information," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    5. Qihang Li & Yituan Liu & Wenjie Li & Linman Zheng, 2025. "Will Industrial Robots Terminate Enterprise Innovation?—An Empirical Evidence from China’s Enterprise Robot Penetration," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 10074-10103, June.
    6. Anna Kusetogullari & Huseyin Kusetogullari & Martin Andersson & Tony Gorschek, 2025. "GenAI in Entrepreneurship: a systematic review of generative artificial intelligence in entrepreneurship research: current issues and future directions," Papers 2505.05523, arXiv.org.
    7. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Li, Chengming & Wang, Yilin & Zhou, Zhihan & Wang, Zeyu & Mardani, Abbas, 2023. "Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification," Journal of Business Research, Elsevier, vol. 165(C).
    9. Hu Wang & Xin Liu & Xuan Wang, 2025. "Price subsidies and firm resilience: evidence from the renewable energy power generation industry in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    10. Wu, Jiaying & Yang, Yu, 2025. "Intellectual property protection and corporate investment efficiency: An analysis of the moderating effect based on financial technology transfer," Finance Research Letters, Elsevier, vol. 84(C).
    11. Ruanzhou, Yilong & Guo, Rengui, 2025. "New quality productivity and intellectual property protection," Finance Research Letters, Elsevier, vol. 83(C).
    12. Chen, Silin & Wu, Junxian, 2026. "Information disclosure, corporate financialization, and earnings management," Finance Research Letters, Elsevier, vol. 89(C).
    13. Anghel Madalina-Gabriela & Strijek Denis-Arthur, 2025. "The Labour Market In Romania Under The Pressure Of Demographic Ageing: Analysis Of The Employment Rate And Old-Age Dependency," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 35-45, October.
    14. Zou, Xinni & Fu, Zongping & Tian, Zhengjie & Peng, Zheng, 2026. "Can the application of artificial intelligence technology and financial innovation drive the digital transformation of enterprises?," International Review of Financial Analysis, Elsevier, vol. 109(C).
    15. Tao, Sha & Tang, Ruixia & Ke, Haisheng, 2026. "High-tech product trade, international financial openness, and global competitiveness: An empirical analysis based on country-level data," Finance Research Letters, Elsevier, vol. 88(C).
    16. Hanyu Zhang & Kaiyue Zhang & Taihua Yan & Xiaonan Cao, 2025. "The impact of digital infrastructure on regional green innovation efficiency through industrial agglomeration and diversification," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    17. 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).
    18. Liang, Zhuohui & Du, Lin, 2026. "Population aging and pension fund risk-taking," Finance Research Letters, Elsevier, vol. 88(C).
    19. Jing, Zhongying & Li, Zheng & Zheng, Ping, 2025. "Population aging and corporate innovation Performance: evidence from China," International Review of Economics & Finance, Elsevier, vol. 101(C).
    20. Yang, Weifeng & Cheng, Guangbin, 2026. "How does the sci-tech finance pilot policy drive the intelligent transformation of enterprises?," Finance Research Letters, Elsevier, vol. 89(C).

    More about this item

    Keywords

    ;
    ;
    ;

    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:89:y:2026:i:c:s1544612325024833. 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.