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Carbon markets, industrial robots, and the labour skill premium

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  • Wang, Yijing
  • Xi, Kang

Abstract

In the context of the global transition to a low-carbon economy, a key issue in balancing environmental regulation with the allocation of labour skills is how carbon market policies reshape the structure of labour demand through technological pathways. This study employs data from listed Chinese manufacturing companies from 2011 to 2023 and utilises a multi-period difference-in-differences (DID) approach to examine the impact of carbon market pilot policies. The findings indicate that these policies significantly promote firms’ skill premiums. Further mechanism analysis reveals that carbon emissions trading policies, by exerting regulatory pressure, incentivise firms to adopt robotics to enhance productivity. Consequently, firms' demand for high-skilled labour increases significantly, while the demand for low-skilled labour decreases. This study offers novel empirical evidence on the interaction between carbon market policies and labour market dynamics, providing policy insights to support the government in effectively responding to changes in the employment structure and promoting adaptive adjustments in the labour market during the green transition process.

Suggested Citation

  • Wang, Yijing & Xi, Kang, 2026. "Carbon markets, industrial robots, and the labour skill premium," Economic Analysis and Policy, Elsevier, vol. 89(C), pages 986-1004.
    • Handle: RePEc:eee:ecanpo:v:89:y:2026:i:c:p:986-1004
    DOI: 10.1016/j.eap.2026.01.009
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    1. 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.
    2. Hafstead, Marc A.C. & Williams, Roberton C., 2018. "Unemployment and environmental regulation in general equilibrium," Journal of Public Economics, Elsevier, vol. 160(C), pages 50-65.
    3. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    4. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    5. Eliana La Ferrara & Alberto Chong & Suzanne Duryea, 2012. "Soap Operas and Fertility: Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 4(4), pages 1-31, October.
    6. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    7. Cai, Xiqian & Lu, Yi & Wu, Mingqin & Yu, Linhui, 2016. "Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China," Journal of Development Economics, Elsevier, vol. 123(C), pages 73-85.
    8. Perino, Grischa & Requate, Till, 2012. "Does more stringent environmental regulation induce or reduce technology adoption? When the rate of technology adoption is inverted U-shaped," Journal of Environmental Economics and Management, Elsevier, vol. 64(3), pages 456-467.
    9. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    10. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    11. Daron Acemoglu & Pascual Restrepo, 2018. "Modeling Automation," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 48-53, May.
    12. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    13. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    14. Zhou, P. & Wen, Wen, 2020. "Carbon-constrained firm decisions: From business strategies to operations modeling," European Journal of Operational Research, Elsevier, vol. 281(1), pages 1-15.
    15. Berman, Eli & Bui, Linda T. M., 2001. "Environmental regulation and labor demand: evidence from the South Coast Air Basin," Journal of Public Economics, Elsevier, vol. 79(2), pages 265-295, February.
    16. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    17. Liu, Mengdi & Shadbegian, Ronald & Zhang, Bing, 2017. "Does environmental regulation affect labor demand in China? Evidence from the textile printing and dyeing industry," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 277-294.
    18. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    19. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    20. Liu, Yu & Tan, Xiu-Jie & Yu, Yang & Qi, Shao-Zhou, 2017. "Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model," Applied Energy, Elsevier, vol. 189(C), pages 762-769.
    21. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    22. Jingbo Cui & Junjie Zhang & Yang Zheng, 2018. "Carbon Pricing Induces Innovation: Evidence from China's Regional Carbon Market Pilots," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 453-457, May.
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