ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA

This study aims to estimate sorghum supply elasticity in South Africa. The study used time series data spanning from 1998 to 2016, obtained from the abstracts of agricultural statistics. The Variance Error Correction Model was employed; the study used two dependent variables, these being area and y...

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Main Authors: Motsipiri Calvin Mojapelo, Johannes Jan Hlongwane, Abenet Belete
Format: Article
Language:English
Published: University of Life Sciences in Poznań 2019-07-01
Series:Journal of Agribusiness and Rural Development
Subjects:
Online Access:http://www1.up.poznan.pl/jard/index.php/jard/article/view/1249
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spelling doaj-89070ff524df4974abbaf9b0831e9d472020-11-25T02:12:55ZengUniversity of Life Sciences in PoznańJournal of Agribusiness and Rural Development1899-52411899-57722019-07-0152210.17306/J.JARD.2019.01141ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICAMotsipiri Calvin Mojapelo0Johannes Jan Hlongwane1Abenet Belete2Agricultural Economics Programme, University of Limpopo, Polokwane, 0727, South AfricaUniversity of LimpopoUniversity of Limpopo This study aims to estimate sorghum supply elasticity in South Africa. The study used time series data spanning from 1998 to 2016, obtained from the abstracts of agricultural statistics. The Variance Error Correction Model was employed; the study used two dependent variables, these being area and yield response functions. The results have shown that the area response function was found to be a robust model as most of the variables were significant, responsive and elastic. Maize price, as a competing crop for sorghum, negatively influenced the area allocation; however, the remaining variables had a positive impact on area allocation in the long-run. The yield response function was found not to be robust and hence not adopted. It was therefore concluded that the area response function is more robust than the yield response function, hence sorghum production has shown more response to area allocation than yield. The findings further indicated that the error correction term for area and for the yield response function was –1.55 and –1.30, respectively. This indicated that the two models were able to revert to equilibrium. Based on the findings, the study recommends that amongst other methods to enhance sorghum output, producers could use improved varieties or hybrids, as this action would result in allocation of more land to sorghum production, following price change. http://www1.up.poznan.pl/jard/index.php/jard/article/view/1249sorghumsupplyelasticityerror correction modelSouth Africa
collection DOAJ
language English
format Article
sources DOAJ
author Motsipiri Calvin Mojapelo
Johannes Jan Hlongwane
Abenet Belete
spellingShingle Motsipiri Calvin Mojapelo
Johannes Jan Hlongwane
Abenet Belete
ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
Journal of Agribusiness and Rural Development
sorghum
supply
elasticity
error correction model
South Africa
author_facet Motsipiri Calvin Mojapelo
Johannes Jan Hlongwane
Abenet Belete
author_sort Motsipiri Calvin Mojapelo
title ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
title_short ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
title_full ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
title_fullStr ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
title_full_unstemmed ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA
title_sort estimation of sorghum supply elasticity in south africa
publisher University of Life Sciences in Poznań
series Journal of Agribusiness and Rural Development
issn 1899-5241
1899-5772
publishDate 2019-07-01
description This study aims to estimate sorghum supply elasticity in South Africa. The study used time series data spanning from 1998 to 2016, obtained from the abstracts of agricultural statistics. The Variance Error Correction Model was employed; the study used two dependent variables, these being area and yield response functions. The results have shown that the area response function was found to be a robust model as most of the variables were significant, responsive and elastic. Maize price, as a competing crop for sorghum, negatively influenced the area allocation; however, the remaining variables had a positive impact on area allocation in the long-run. The yield response function was found not to be robust and hence not adopted. It was therefore concluded that the area response function is more robust than the yield response function, hence sorghum production has shown more response to area allocation than yield. The findings further indicated that the error correction term for area and for the yield response function was –1.55 and –1.30, respectively. This indicated that the two models were able to revert to equilibrium. Based on the findings, the study recommends that amongst other methods to enhance sorghum output, producers could use improved varieties or hybrids, as this action would result in allocation of more land to sorghum production, following price change.
topic sorghum
supply
elasticity
error correction model
South Africa
url http://www1.up.poznan.pl/jard/index.php/jard/article/view/1249
work_keys_str_mv AT motsipiricalvinmojapelo estimationofsorghumsupplyelasticityinsouthafrica
AT johannesjanhlongwane estimationofsorghumsupplyelasticityinsouthafrica
AT abenetbelete estimationofsorghumsupplyelasticityinsouthafrica
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