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Going Green: Estimating the Potential of Green Jobs in Argentina
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Going Green: Estimating the Potential of Green Jobs in Argentina

Author

Listed:
  • Natalia Porto

    (CEDLAS-IIE-FCE-UNLP)

  • Pablo de la Vega

    (CEDLAS-IIE-FCE-UNLP)

  • Manuela Cerimelo

    (CEDLAS-IIE-FCE-UNLP)

Abstract

This paper aims to identify and characterize the potential of green jobs in Argentina, i.e., those that would benefit from a transition to a green economy, using occupational green potential scores calculated in US O*NET data. We apply the greenness scores to Argentine household survey data and estimate that 25% of workers are in green jobs, i.e., have a high green potential. However, when taking into account the informality dimension, we find that 15% of workers and 12% of wage earners are in formal green jobs. We then analyze the relationship between the greenness scores (with emphasis on the nexus with decent work) and various labor and demographic variables at the individual level. We find that for the full sample of workers the green potential is relatively greater for men, the elderly, those with very high qualifications, those in formal positions, and those in specific sectors such as construction, transportation, mining, and industry. These are the groups that are likely to be the most benefited by the greening of the Argentine economy. When we restrict the sample to wage earners, the green potential score is positively associated with informality.

Suggested Citation

  • Natalia Porto & Pablo de la Vega & Manuela Cerimelo, 2022. "Going Green: Estimating the Potential of Green Jobs in Argentina," CEDLAS, Working Papers 0301, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0301
    as

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    References listed on IDEAS

    as
    1. Francesco Vona & Giovanni Marin & Davide Consoli & David Popp, 2018. "Environmental Regulation and Green Skills: An Empirical Exploration," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(4), pages 713-753.
    2. repec:hal:spmain:info:hdl:2441/1fkb59dcsg9alqqq6qv18jj5us is not listed on IDEAS
    3. Francesco Vona & Giovanni Marin & Davide Consoli, 2019. "Measures, drivers and effects of green employment: evidence from US local labor markets, 2006–2014," Journal of Economic Geography, Oxford University Press, vol. 19(5), pages 1021-1048.
    4. Cristian Bonavida Foschiatti & Leonardo Gasparini, 2020. "Asimetrías en la Viabilidad del Trabajo Remoto," Asociación Argentina de Economía Política: Working Papers 4349, Asociación Argentina de Economía Política.
    5. Francesco Vona & Giovanni Marin & Davide Consoli & David Popp, 2018. "Environmental Regulation and Green Skills: An Empirical Exploration," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(4), pages 713-753.
    6. 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.
    7. Leonardo Gasparini & Irene Brambilla & Andrés César & Guillermo Falcone & Carlo Lombardo, 2020. "The Risk of Automation in Argentina," CEDLAS, Working Papers 0260, CEDLAS, Universidad Nacional de La Plata.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Weller, Jürgen, 2022. "Tendencias mundiales, pandemia de COVID-19 y desafíos de la inclusión laboral en América Latina y el Caribe," Documentos de Proyectos 48610, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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    More about this item

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • J80 - Labor and Demographic Economics - - Labor Standards - - - General

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