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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
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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).
    2. Palinski,Michal & Asik,Günes & Gajderowicz,Tomasz & Jakubowski,Maciej & Efsan Nas Ozen & Dhushyanth Raju, 2024. "Identification of an Expanded Inventory of Green Job Titles through AI-Driven Text Mining," Policy Research Working Paper Series 10908, The World Bank.
    3. Mohammad Najmudin* & Putu Sudira, 2025. "Determining Work Readiness of Vocational Education Students to Assist in Developing Green Jobs: The Mediating Role of Green Intention," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 87-97, January.
    4. Becerra, Oscar & Piñeros, Juana, 2024. "Quantifying Green Job Potential in Colombia: A Task-Based Approach," Documentos CEDE 21270, Universidad de los Andes, Facultad de Economía, CEDE.

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    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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