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Going green: estimating the potential of green jobs in Argentina

Author

Listed:
  • de la Vega, Pablo

    (Universidad Nacional de La Plata)

  • Porto, Natalia

    (Universidad Nacional de La Plata)

  • Cerimelo, Manuela

    (Universidad Nacional de La Plata)

Abstract

"This paper aims to identify and characterize the potential of green jobs in Argentina, i.e., those workers that would benefit from a transition to a green economy, using occupational green potential scores calculated in US O*NET data for the period 2015–2021. We apply the greenness scores to Argentine household survey data and estimate that between 23 and 25 percent of workers are in green jobs, i.e., have a high green potential. However, to promote and ensure an inclusive and effective green transition, we consider the decent work dimension (through legal informality measures), and find that between 11 and 12 percent of wage earners are in green formal jobs. We then analyze the relationship between the green job indicators and various labor and demographic variables at the individual level. We find that the green potential is relatively greater for men, the elderly, those with very high qualifications, 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. The green potential score is positively associated with informality, thus the green transition may be incompatible with decent work." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

Suggested Citation

  • de la Vega, Pablo & Porto, Natalia & Cerimelo, Manuela, 2024. "Going green: estimating the potential of green jobs in Argentina," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 58, pages 1-1.
    • Handle: RePEc:iab:iabjlr:v:58:p:art.01
    DOI: 10.1186/s12651-023-00359-2
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    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. 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.
    3. 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.
    4. 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.
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    6. 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.
    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.
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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. 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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    More about this item

    Keywords

    Argentinien ; Auswirkungen ; Berufsgruppe ; Beschäftigungseffekte ; Beschäftigungsentwicklung ; geschlechtsspezifische Faktoren ; Humanisierung der Arbeit ; informeller Sektor ; Lohnentwicklung ; altersspezifische Faktoren ; qualifikationsspezifische Faktoren ; sektorale Verteilung ; Arbeitsbedingungen ; Umweltberufe ; Arbeitsplatzpotenzial ; 2015-2021;
    All these keywords.

    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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