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Employment Effects of Technological Progress in U.S. Healthcare: Evidence from Listed Companies

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Listed:
  • Lingdi Zhao

    (School of Economics, Ocean University of China, Qingdao 266100, China
    Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Social Sciences at Universities, Ministry of Education, Qingdao 266100, China)

  • Shuo Zhang

    (School of Economics, Ocean University of China, Qingdao 266100, China)

Abstract

Employment is the foundation of social stability and a key factor for economic stability and sustainable development. With the rapid advancement of technology, the impact of technological progress on employment has become a focal point of academic attention. As an emerging industry, the healthcare sector has experienced rapid growth in recent years, driven by the widespread application of scientific and technological innovations. However, at the same time, these advancements have also exerted a significant influence on employment within the healthcare sector. To address this issue, this paper utilizes panel data from publicly listed healthcare firms in the United States between 2013 and 2023. It innovatively measures technological progress through Total Factor Productivity (TFP) and employs a two-way fixed effects model to empirically analyze the impact of technological progress on employment in the healthcare sector from a microeconomic perspective. The findings indicate that a 1% increase in technological progress in the healthcare sector leads to an average 0.116% rise in employment levels. This conclusion remains robust after conducting rigorous robustness checks and addressing endogeneity concerns, with the output effect playing a significant role in this process. Heterogeneity analysis indicates that technological progress significantly promotes employment across various sub-sectors, though the magnitude of this effect varies only slightly among industries. Furthermore, the employment-promoting effect of technological progress is more pronounced in larger firms and those with a higher proportion of fixed assets. Therefore, policies should actively support the improvement of technology levels and management efficiency within the healthcare sector, fully leveraging the potential of technological progress to promote employment, and achieve sustainable development for both the healthcare sector and societal employment.

Suggested Citation

  • Lingdi Zhao & Shuo Zhang, 2025. "Employment Effects of Technological Progress in U.S. Healthcare: Evidence from Listed Companies," Sustainability, MDPI, vol. 17(11), pages 1-25, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4856-:d:1664294
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    1. 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.
    2. David Kim & Woo‐Yung Kim, 2020. "What drives the labor share of income in South Korea? A regional analysis," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1304-1335, September.
    3. Surendra Gera & Wulong Gu & Zhengxi Lin, 2001. "Technology and the demand for skills in Canada: an industry-level analysis," Canadian Journal of Economics, Canadian Economics Association, vol. 34(1), pages 132-148, February.
    4. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    5. Daniel S. Hamermesh, 2021. "Do labor costs affect companies’ demand for labor?," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-3, February.
    6. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    7. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    8. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    9. 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.
    10. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    11. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    12. Catherine J. Morrison Paul & Donald S. Siegel, 2001. "The Impacts of Technology, Trade and Outsourcing on Employment and Labor Composition," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 241-264, June.
    13. Jing Wang & Zhanggong Tian & Yi Sun, 2024. "Digital Economy, Employment Structure and Labor Share," Sustainability, MDPI, vol. 16(21), pages 1-16, November.
    14. Surendra Gera & Wulong Gu & Zhengxi Lin, 2001. "Technology and the demand for skills in Canada: an industry‐level analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(1), pages 132-148, February.
    15. Hofmarcher, Maria M. & Festl, Eva & Bishop-Tarver, Leslie, 2016. "Health sector employment growth calls for improvements in labor productivity," Health Policy, Elsevier, vol. 120(8), pages 894-902.
    16. Martin Carnoy, 1997. "The new information technology ‐ international diffusion and its impact on employment and skills," International Journal of Manpower, Emerald Group Publishing Limited, vol. 18(1/2), pages 119-159, February.
    17. Danlei Feng & Mingzhao Hu & Lingdi Zhao & Sha Liu, 2022. "The Impact of Firm Heterogeneity and External Factor Change on Innovation: Evidence from the Vehicle Industry Sector," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    18. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    19. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    20. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    21. repec:bla:scandj:v:103:y:2001:i:2:p:241-64 is not listed on IDEAS
    22. Zhang, Qi-nan & Zhang, Fan-fan & Mai, Qiang, 2023. "Robot adoption and labor demand: A new interpretation from external competition," Technology in Society, Elsevier, vol. 74(C).
    23. Lingdi Zhao & Minghui Lu & Haixia Wang, 2024. "Research on the Effect of the Healthy Cities Pilot Policy on the Labor Supply Time of Middle-Aged and Elderly Workers in China," Sustainability, MDPI, vol. 16(19), pages 1-22, October.
    24. Hyejin Kim, 2024. "The impact of robots on labor demand: evidence from job vacancy data in South Korea," Empirical Economics, Springer, vol. 67(3), pages 1185-1209, September.
    25. Robert J. Brent, 2023. "Cost-Benefit Analysis versus Cost-Effectiveness Analysis from a Societal Perspective in Healthcare," IJERPH, MDPI, vol. 20(5), pages 1-12, March.
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