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How Population Aging Affects Industrial Structure Upgrading: Evidence from China

Author

Listed:
  • Xiao Shen

    (School of Business, Xinyang Normal University, Xinyang 464000, China)

  • Jingbo Liang

    (School of Business, Xinyang Normal University, Xinyang 464000, China)

  • Jiangning Cao

    (School of Business Administration, Zhongnan Uninersity of Economics and Law, Wuhan 430073, China)

  • Zhengwen Wang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China
    National Institute of Insurance Development, Wuhan University, Ningbo 315100, China)

Abstract

The question of how to proactively respond to population aging has become a major global issue. As a country with the largest elderly population in the world, China suffers a stronger shock from population aging, which makes it more urgent to transform its industrial and economic development model. Concretely, in the context of the new macroeconomic environment that has undergone profound changes, the shock of population aging makes the traditional industrial structure upgrading model (driven by large-scale factor inputs, imitation innovation and low-cost technological progress, and strong external demand) more unsustainable, and China has an urgent need to transform it to a more sustainable one. Only with an in-depth analysis of the influence mechanism of population aging on the upgrading of industrial structure can we better promote industrial structure upgrading under the impact of population aging. Therefore, six MSVAR models were constructed from each environmental perspective based on data from 1987 to 2021. The probabilities of regime transition figures show that the influencing mechanisms have a clear two-regime feature from any view; specifically, the omnidirectional environmental transition occurs in 2019. A further impulse–response analysis shows that, comparatively speaking, under the new environment regime the acceleration of population aging (1) aggravates the labor shortage, thus narrowing the industrial structure upgrading ranges; (2) has a negative, rather than positive, impact on the capital stock, but leads to a cumulative increase in industrial structure upgrading; (3) forces weaker technological progress, but further leads to a stronger impact on the industrial structure upgrading; (4) forces greater consumption upgrading, which further weakens industrial structure upgrading; (5) narrows rather than expands the upgrading of investment and industrial structures; and (6) narrows the upgrading of export and industrial structures. Therefore, we should collaboratively promote industrial structure upgrading from the supply side relying heavily on independent innovation and talent, and the demand side relying heavily on the upgrading of domestic consumption and exports.

Suggested Citation

  • Xiao Shen & Jingbo Liang & Jiangning Cao & Zhengwen Wang, 2022. "How Population Aging Affects Industrial Structure Upgrading: Evidence from China," IJERPH, MDPI, vol. 19(23), pages 1-23, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16093-:d:990683
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    as
    1. Fang Cai, 2020. "The Second Demographic Dividend as a Driver of China's Growth," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 26-44, September.
    2. Fei Fan & Shangze Dai & Keke Zhang & Haiqian Ke, 2021. "Innovation agglomeration and urban hierarchy: evidence from Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 53(54), pages 6300-6318, November.
    3. Matteo Cervellati & Uwe Sunde, 2005. "Human Capital Formation, Life Expectancy, and the Process of Development," American Economic Review, American Economic Association, vol. 95(5), pages 1653-1672, December.
    4. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    5. Lingchen Liu & Fan Wu & Huiying Tong & Cuihong Hao & Tingting Xie, 2021. "The Digital Divide and Active Aging in China," IJERPH, MDPI, vol. 18(23), pages 1-14, December.
    6. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    7. Ronald Lee & A. Mason & E. Amporfu & C.-B. An & L. R. Bixby & J. Bravo & M. Bucheli & Q. Chen & P. Comelatto & D. Coy & Hippolyte d'Albis & G. Donehower & L. Dramani & A. Furnkranz-Prskawetz & R. I. G, 2014. "Is low fertility really a problem? Population aging, dependency, and consumption," PSE-Ecole d'économie de Paris (Postprint) hal-01075298, HAL.
    8. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, September.
    9. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    10. Cai, Jie & Stoyanov, Andrey, 2016. "Population aging and comparative advantage," Journal of International Economics, Elsevier, vol. 102(C), pages 1-21.
    11. John Humphrey & Hubert Schmitz, 2002. "How does insertion in global value chains affect upgrading in industrial clusters?," Regional Studies, Taylor & Francis Journals, vol. 36(9), pages 1017-1027.
    12. Huimin Li & Jianyuan Huang & Jiayun Liu, 2022. "External Support for Elderly Care Social Enterprises in China: A Government-Society-Family Framework of Analysis," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    13. Peter Harasztosi & Attila Lindner, 2019. "Who Pays for the Minimum Wage?," American Economic Review, American Economic Association, vol. 109(8), pages 2693-2727, August.
    14. Kitao, Sagiri & Mikoshiba, Minamo, 2020. "Females, the elderly, and also males: Demographic aging and macroeconomy in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 56(C).
    15. Wang, Xueli & Wang, Lei & Zhang, Xuerong & Fan, Fei, 2022. "The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience," China Economic Review, Elsevier, vol. 74(C).
    16. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    17. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    18. Wu, Feifei & Yang, Hongna & Gao, Bo & Gu, Yan, 2021. "Old, not yet rich? The impact of population aging on export upgrading in developing countries," China Economic Review, Elsevier, vol. 70(C).
    19. Francis Lwesya, 2022. "Integration into regional or global value chains and economic upgrading prospects: an analysis of the East African Community (EAC) bloc," Future Business Journal, Springer, vol. 8(1), pages 1-14, December.
    20. Meng Li & Kunrong Shen, 2013. "Population Aging and Housing Consumption: A Nonlinear Relationship in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(5), pages 60-77, September.
    21. Goh, Soo Khoon & McNown, Robert & Wong, Koi Nyen, 2020. "Macroeconomic implications of population aging: Evidence from Japan," Journal of Asian Economics, Elsevier, vol. 68(C).
    22. Zhengwen Wang & Yunxiao Zong & Yuwan Dan & Shi-Jie Jiang, 2021. "Country risk and international trade: evidence from the China-B&R countries," Applied Economics Letters, Taylor & Francis Journals, vol. 28(20), pages 1784-1788, November.
    23. Yingzhu Yang & Rong Zheng & Lexiang Zhao, 2021. "Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
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    3. Wang, Hua & Chen, Yaorui, 2024. "The impact of population aging on capital structure decisions and capital market efficiency: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 95(PB).

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