Modelling South African grain farmersâ€™ preferences to adopt derivative contracts using discrete choice models
AbstractThis paper applies a discrete choice model to determine specific characteristics that influence South African grain farmersâ€™ preferences to hedge against uncertainties. This is the first empirical study on South African grain producersâ€™ preferences to adopt derivative contracting and is based on the survey data of Grain South Africa for 2006. With the application of separate binary logit models for each major grain commodity, this paper establishes that different grain farmers are significantly heterogeneous. The results also show that grain farmersâ€™ preferences to adopt derivative contracting are mostly influenced by the farmersâ€™ prediction of daily grain prices and trends, farm size and various geographic characteristics. From a policy perspective it has been indicated that food and income insecurity will be reduced if farmers can adopt derivative contracting at large scale since it will enable the producers to produce staple food on a continuous basis at a relatively profitable level.
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Bibliographic InfoArticle provided by Agricultural Economics Association of South Africa (AEASA) in its journal Agrekon.
Volume (Year): 47 (2008)
Issue (Month): 2 (June)
Discrete choice models; micro-analysis of farmers; agricultural markets and marketing;
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- Granoszewski, Karol & Spiller, Achim, 2013. "Langfristige Rohstoffsicherung in der Supply Chain Biogas: Status Quo und Potenziale vertraglicher Zusammenarbeit," DARE Discussion Papers 1303, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
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