Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series

Autores
Ahumada, Hildegart; Cornejo, Magdalena
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Soybean yields are often indicated as an interesting case of climate change mitigation due to the beneficial effects of CO₂ fertilization. In this paper we econometrically study this effect using a time series model of yields in a multivariate framework for a main producer and exporter of this commodity, Argentina. We have to deal with the trending behavior of crop yields trying to identify which variables are the long-run determinants responsible of the observed trend in soybean yields. With this aim we adopt a partial system approach to estimate subsets of relationships due to climate, technological and economic factors. Using an automatic selection algorithm we evaluate encompassing of the different equilibrium correction models. We have found that only technological innovations due to new crop practices and the use of modified seeds explain soybean yield in the long run. Regarding short run determinants we have found positive effects associated with the use of standard fertilizers and also from changes in atmospheric CO₂ concentration which would suggest a mitigation effect from global warming. However, we have also found negative climate effects from periods of droughts associated with La Niña episodes, high temperatures and extreme rainfall events during the growing season of the plant.
Facultad de Ciencias Económicas
Materia
Ciencias Económicas
climate change
soybean yields
technology
temperature
CO₂
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/164879

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spelling Are soybean yields getting a free ride from climate change? : Evidence from Argentine time seriesAhumada, HildegartCornejo, MagdalenaCiencias Económicasclimate changesoybean yieldstechnologytemperatureCO₂Soybean yields are often indicated as an interesting case of climate change mitigation due to the beneficial effects of CO₂ fertilization. In this paper we econometrically study this effect using a time series model of yields in a multivariate framework for a main producer and exporter of this commodity, Argentina. We have to deal with the trending behavior of crop yields trying to identify which variables are the long-run determinants responsible of the observed trend in soybean yields. With this aim we adopt a partial system approach to estimate subsets of relationships due to climate, technological and economic factors. Using an automatic selection algorithm we evaluate encompassing of the different equilibrium correction models. We have found that only technological innovations due to new crop practices and the use of modified seeds explain soybean yield in the long run. Regarding short run determinants we have found positive effects associated with the use of standard fertilizers and also from changes in atmospheric CO₂ concentration which would suggest a mitigation effect from global warming. However, we have also found negative climate effects from periods of droughts associated with La Niña episodes, high temperatures and extreme rainfall events during the growing season of the plant.Facultad de Ciencias Económicas2018-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/164879enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-28590-6-0info:eu-repo/semantics/altIdentifier/url/https://bd.aaep.org.ar/anales/works/works2018/cornejo_ahumada.pdfinfo:eu-repo/semantics/altIdentifier/issn/1852-0022info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:46:14Zoai:sedici.unlp.edu.ar:10915/164879Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:46:14.316SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
title Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
spellingShingle Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
Ahumada, Hildegart
Ciencias Económicas
climate change
soybean yields
technology
temperature
CO₂
title_short Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
title_full Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
title_fullStr Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
title_full_unstemmed Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
title_sort Are soybean yields getting a free ride from climate change? : Evidence from Argentine time series
dc.creator.none.fl_str_mv Ahumada, Hildegart
Cornejo, Magdalena
author Ahumada, Hildegart
author_facet Ahumada, Hildegart
Cornejo, Magdalena
author_role author
author2 Cornejo, Magdalena
author2_role author
dc.subject.none.fl_str_mv Ciencias Económicas
climate change
soybean yields
technology
temperature
CO₂
topic Ciencias Económicas
climate change
soybean yields
technology
temperature
CO₂
dc.description.none.fl_txt_mv Soybean yields are often indicated as an interesting case of climate change mitigation due to the beneficial effects of CO₂ fertilization. In this paper we econometrically study this effect using a time series model of yields in a multivariate framework for a main producer and exporter of this commodity, Argentina. We have to deal with the trending behavior of crop yields trying to identify which variables are the long-run determinants responsible of the observed trend in soybean yields. With this aim we adopt a partial system approach to estimate subsets of relationships due to climate, technological and economic factors. Using an automatic selection algorithm we evaluate encompassing of the different equilibrium correction models. We have found that only technological innovations due to new crop practices and the use of modified seeds explain soybean yield in the long run. Regarding short run determinants we have found positive effects associated with the use of standard fertilizers and also from changes in atmospheric CO₂ concentration which would suggest a mitigation effect from global warming. However, we have also found negative climate effects from periods of droughts associated with La Niña episodes, high temperatures and extreme rainfall events during the growing season of the plant.
Facultad de Ciencias Económicas
description Soybean yields are often indicated as an interesting case of climate change mitigation due to the beneficial effects of CO₂ fertilization. In this paper we econometrically study this effect using a time series model of yields in a multivariate framework for a main producer and exporter of this commodity, Argentina. We have to deal with the trending behavior of crop yields trying to identify which variables are the long-run determinants responsible of the observed trend in soybean yields. With this aim we adopt a partial system approach to estimate subsets of relationships due to climate, technological and economic factors. Using an automatic selection algorithm we evaluate encompassing of the different equilibrium correction models. We have found that only technological innovations due to new crop practices and the use of modified seeds explain soybean yield in the long run. Regarding short run determinants we have found positive effects associated with the use of standard fertilizers and also from changes in atmospheric CO₂ concentration which would suggest a mitigation effect from global warming. However, we have also found negative climate effects from periods of droughts associated with La Niña episodes, high temperatures and extreme rainfall events during the growing season of the plant.
publishDate 2018
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