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| Moolman, C.E.; Blignaut, J.N.; van Eyden, R.. |
| South Africa is a water-stressed country where water availability is an important constraint to economic and social development, and will become even more so in the future if this scarce resource is not managed effectively. In order to manage this scarce supply of water, we need to value it. This study focuses on the value of water in the agricultural sector, in particular the marginal revenue of water for six irrigation commodities namely avocados, bananas, grapefruit, mangoes, oranges and sugarcane. A quadratic production function was fitted with an SUR model specification in a panel data study from 1975 to 2002 to obtain marginal revenue functions for each of the six commodities. We found that mangoes are the most efficient commodity in its water... |
| Tipo: Journal Article |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 2006 |
URL: http://purl.umn.edu/31732 |
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| Ueckermann, E.M.; Blignaut, J.N.; Gupta, Rangan; Raubenheimer, J.. |
| This paper applies a discrete choice model to determine specific characteristics that influence South African grain farmers’ preferences to hedge against uncertainties. This is the first empirical study on South African grain producers’ 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 farmers’ preferences to adopt derivative contracting are mostly influenced by the farmers’ prediction of daily grain prices and trends, farm size and various geographic characteristics. From a policy perspective it has... |
| Tipo: Journal Article |
Palavras-chave: Discrete choice models; Micro-analysis of farmers; Agricultural markets and marketing. |
| Ano: 2008 |
URL: http://purl.umn.edu/37631 |
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| de Wit, M.P.; Blignaut, J.N.. |
| Irrigation farmers in the lower reaches of the Vaal and Riet Rivers are experiencing substantial yield reductions in certain crops and more profitable crops have been withdrawn from production, hypothesised, as a result of generally poor but especially fluctuating water quality. In this paper secondary data is used in a linear programming model to test this hypothesis by calculating the potential loss in farm level optimal returns. The model is static with a time frame of two production seasons. Linear crop-water quality production functions (Ayers & Westcot, 1983; adapted from Maas & Hoffmann, 1977) are used to calculate net returns for the eight most common crops grown. Results show optimal enterprise composition under various water quality... |
| Tipo: Journal Article |
Palavras-chave: International Development. |
| Ano: 2000 |
URL: http://purl.umn.edu/56172 |
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