ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA


Abstract

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.

Keywords

sorghum; supply; elasticity; error correction model; South Africa

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Published : 2019-07-03


Mojapelo, M., Hlongwane, J., & Belete, A. (2019). ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA. Journal of Agribusiness and Rural Development, 52(2), 131–138. https://doi.org/10.17306/J.JARD.2019.01141

Motsipiri Calvin Mojapelo  mamohlake@gmail.com
Agricultural Economics Programme, University of Limpopo, Polokwane, 0727, South Africa  Poland
https://orcid.org/0000-0003-2962-1081
Johannes Jan Hlongwane 
University of Limpopo  South Africa
Abenet Belete 
University of Limpopo  South Africa


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