Going Green: Estimating the Potential of Green Jobs in Argentina

Autores
Porto, Natalia; De La Vega, Pablo; Cerimelo, Manuela
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de trabajo
Estado
versión enviada
Descripción
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.
Centro de Estudios Distributivos, Laborales y Sociales
Materia
Ciencias Económicas
Labor markets
Green jobs
Argentina
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140801
Acceder
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spelling Going Green: Estimating the Potential of Green Jobs in ArgentinaPorto, NataliaDe La Vega, PabloCerimelo, ManuelaCiencias EconómicasLabor marketsGreen jobsArgentinaThis 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.Centro de Estudios Distributivos, Laborales y Sociales2022-08info:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/submittedVersionDocumento de trabajohttp://purl.org/coar/resource_type/c_8042info:ar-repo/semantics/documentoDeTrabajoapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/140801enginfo:eu-repo/semantics/altIdentifier/url/https://www.cedlas.econo.unlp.edu.ar/wp/wp-content/uploads/doc_cedlas301.pdf?dl=0info:eu-repo/semantics/altIdentifier/issn/1853-0168info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:35:44Zoai:sedici.unlp.edu.ar:10915/140801Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:35:44.949SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Going Green: Estimating the Potential of Green Jobs in Argentina
title Going Green: Estimating the Potential of Green Jobs in Argentina
spellingShingle Going Green: Estimating the Potential of Green Jobs in Argentina
Porto, Natalia
Ciencias Económicas
Labor markets
Green jobs
Argentina
title_short Going Green: Estimating the Potential of Green Jobs in Argentina
title_full Going Green: Estimating the Potential of Green Jobs in Argentina
title_fullStr Going Green: Estimating the Potential of Green Jobs in Argentina
title_full_unstemmed Going Green: Estimating the Potential of Green Jobs in Argentina
title_sort Going Green: Estimating the Potential of Green Jobs in Argentina
dc.creator.none.fl_str_mv Porto, Natalia
De La Vega, Pablo
Cerimelo, Manuela
author Porto, Natalia
author_facet Porto, Natalia
De La Vega, Pablo
Cerimelo, Manuela
author_role author
author2 De La Vega, Pablo
Cerimelo, Manuela
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Económicas
Labor markets
Green jobs
Argentina
topic Ciencias Económicas
Labor markets
Green jobs
Argentina
dc.description.none.fl_txt_mv 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.
Centro de Estudios Distributivos, Laborales y Sociales
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-08
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info:eu-repo/semantics/submittedVersion
Documento de trabajo
http://purl.org/coar/resource_type/c_8042
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status_str submittedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/140801
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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