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Population aging and corporate innovation Performance: evidence from China

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  • Jing, Zhongying
  • Li, Zheng
  • Zheng, Ping

Abstract

Drawing on the contingency theory, this study investigates how population aging reshapes corporate innovation in China. With the CSMAR firm database, we find that population aging suppresses corporate patenting by raising labour costs and diluting human capital quality. We further document that scientific expenditure could weaken the impact of population aging on corporate patenting, thereby acting as a strategic buffer. These findings jointly show that population aging constrains corporate innovation performance; for policy implications, they indicate that government policies stimulating scientific expenditure can be a direction to overcome the constraint effect.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:reveco:v:101:y:2025:i:c:s1059056025003624
    DOI: 10.1016/j.iref.2025.104199
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    1. Tan, Youchao & Liu, Xiumei & Sun, Hanwen & Zeng, Cheng(Colin), 2022. "Population ageing, labour market rigidity and corporate innovation: Evidence from China," Research Policy, Elsevier, vol. 51(2).
    2. Yuhao Dai & Qican Wu, 2025. "Family Companionship: How Does Superstition Improve Mental Health?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(6), pages 3269-3282, September.
    3. 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).
    4. Wenqun Gao & Yang Chen & Shaorui Xu & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Role of Population Aging in High-Quality Economic Development: Mediating Role of Technological Innovation," SAGE Open, , vol. 13(4), pages 21582440231, October.
    5. Judith Banister & David E. Bloom & Larry Rosenberg, 2010. "Population Aging and Economic Growth in China," PGDA Working Papers 5310, Program on the Global Demography of Aging.
    6. Tianru Qin & Lin Liang & Peng Liang & Wenqun Liang, 2025. "Can industrial robot utilization drive the total factor productivity of enterprises?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 129-148, January.
    7. Yu Liu & Mingde Jia, 2023. "The Impact of Population Aging on Green Innovation: An Empirical Analysis Based on Inter-Provincial Data in China," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    8. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    9. Gang Li & Ehsan Elahi & Xingshuai Wang, 2023. "Population age structure, asset price, and financial stability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2041-2056, June.
    10. David E. Bloom & David Canning & Jocelyn E. Finlay, 2010. "Population Aging and Economic Growth in Asia," NBER Chapters, in: The Economic Consequences of Demographic Change in East Asia, pages 61-89, National Bureau of Economic Research, Inc.
    11. Sheng, Jichuan & Ding, Rui & Yang, Hongqiang, 2024. "Corporate green innovation in an aging population: Evidence from Chinese listed companies," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    12. Ogink, Ruben H.A.J. & Goossen, Martin C. & Romme, A. Georges L. & Akkermans, Henk, 2023. "Mechanisms in open innovation: A review and synthesis of the literature," Technovation, Elsevier, vol. 119(C).
    13. Yuhan Zhao & Xuguang Song, 2018. "How Should the Chinese Government Invest R&D Funds: Enterprises or Institutions?," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1089-1112, December.
    14. Ma, Li & Zhai, Xin & Zhong, Weiguo & Zhang, Zhi-Xue, 2019. "Deploying human capital for innovation: A study of multi-country manufacturing firms," International Journal of Production Economics, Elsevier, vol. 208(C), pages 241-253.
    15. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    16. Xueyan Xie & Xiaohui Xu, 2024. "The impact of population aging on SME digital transformation: Evidence from China," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-26, May.
    17. Mitsuru Katagiri, 2021. "Economic Consequences Of Population Aging In Japan: Effects Through Changes In Demand Structure," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(06), pages 1709-1731, December.
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    3. Min Zhang & Xiaochen Zhang, 2026. "Does population aging hinder regional innovation? A perspective on complementarity and substitution effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(1), pages 1-28, March.

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