Ahumada, H.; Cornejo, M. Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data. Econometrics2021, 9, 24.
Ahumada, H.; Cornejo, M. Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data. Econometrics 2021, 9, 24.
Ahumada, H.; Cornejo, M. Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data. Econometrics2021, 9, 24.
Ahumada, H.; Cornejo, M. Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data. Econometrics 2021, 9, 24.
Abstract
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 upward behavior of soybean yields trying to identify which variables are the long-run determinants responsible of its observed trend. With this aim we adopt a partial system approach to estimate subsets of long-run relationships due to climate, technological and economic factors. Using an automatic selection algorithm we evaluate encompassing of the different obtained equilibrium correction models. We 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 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 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.
Keywords
climate change; soybean yields; technology; temperature; CO2
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
