IMF Working Papers

Transitioning to a Greener Labor Market: Cross-Country Evidence from Microdata

By John C Bluedorn, Niels-Jakob H Hansen, Diaa Noureldin, Ippei Shibata, Marina Mendes Tavares

July 22, 2022

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Format: Chicago

John C Bluedorn, Niels-Jakob H Hansen, Diaa Noureldin, Ippei Shibata, and Marina Mendes Tavares. Transitioning to a Greener Labor Market: Cross-Country Evidence from Microdata, (USA: International Monetary Fund, 2022) accessed December 30, 2024

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

This paper builds a new set of harmonized indicators of the environmental properties of jobs using micro-level labor force survey data from 34 economies between 2005 and 2019 and analyzes the labor market implications of the green economic transition and environmental policies. Based on the new set of indicators, the paper's main findings are that greener and more polluting jobs are concentrated among smaller subsets of workers, individual workers rarely move from more pollution-intensive to greener jobs, and workers in green-intensive jobs earn on average 7 percent more than workers in pollution-intensive jobs.

Subject: Climate change, Employment, Environment, Environmental policy, Labor, Labor markets

Keywords: Africa, Climate change, Emissions, Emissions intensity, Employment, Environmental policy, Environmental Regulation., Global, Green job, Green jobs, Green Skills, IMF working paper 2022/146, Implications of the green, Intensity score, Job-to-green job transition, Labor market implication, Labor markets, Polluting job, Polluting jobs, Pollution intensities of employment, Pollution intensity, Worker reallocation support

Publication Details

  • Pages:

    39

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2022/146

  • Stock No:

    WPIEA2022146

  • ISBN:

    9798400215568

  • ISSN:

    1018-5941

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