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Quality of education, ageing and labor productivity

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  • Fange Meng
  • Xin Wen

Abstract

With the decrease in fertility rate and the extension of life expectancy, China’s ageing degree is deepening, and there is a decrease in the number of labor force individuals, leading to an increase in the burden of old-age care and constraining economic growth. The improvement of human capital can promote economic growth. Research is rquired to determine whether factors such as the teacher-student ratio (quality of education) and the average number of years of schooling (quantity of education) can help alleviate the negative impacts of ageing. The findings demonstrate that education, both in terms of quantity and quality, can successfully reduce the detrimental consequences of ageing. The threshold effect model’s findings indicate that both the amount and quality of education can be more effective in reducing the negative impacts of ageing when average years of education surpass 10.87 years and the teacher-student ratio hits 7.80 (780 instructors per 1000 pupils). The results of heterogeneity analysis reveal that both the quantity and quality of education could potentially mitigate the negative effects of ageing in the eastern and western regions, although these factors do not seem to have the same effect in the central region. In the northern and southern regions, it is found that while the quantity of education can help alleviate the negative effects of ageing, the quality of education is effective only in the southern region and not in the northern region. Therefore, one potential strategy to counteract the adverse effects of ageing with a declining number of children is to increase the teacher-student ratio and extend the duration of free education.

Suggested Citation

  • Fange Meng & Xin Wen, 2024. "Quality of education, ageing and labor productivity," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-16, December.
  • Handle: RePEc:plo:pone00:0314367
    DOI: 10.1371/journal.pone.0314367
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    References listed on IDEAS

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    1. Todd Schoellman, 2012. "Education Quality and Development Accounting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 388-417.
    2. Kaarsen, Nicolai, 2014. "Cross-country differences in the quality of schooling," Journal of Development Economics, Elsevier, vol. 107(C), pages 215-224.
    3. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    4. Daron Acemoglu & Joshua Linn, 2004. "Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 1049-1090.
    5. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    6. James Feyrer, 2007. "Demographics and Productivity," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 100-109, February.
    7. Angel de la Fuente & Rafael Domenech, 2001. "Schooling Data, Technological Diffusion, and the Neoclassical Model," American Economic Review, American Economic Association, vol. 91(2), pages 323-327, May.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    9. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
    10. Behrman, Jere R & Birdsall, Nancy, 1983. "The Quality of Schooling: Quantity Alone is Misleading," American Economic Review, American Economic Association, vol. 73(5), pages 928-946, December.
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