A production function analysis of commercial dairy farms in the Highlands of Eritrea using ridge regression
AbstractThis study presents a production function analysis of fresh milk production in the Highlands of Eritrea, where most dairy farmers in Eritrea are located. To ensure representative production functions, this region was divided into three relatively homogenous study areas, namely Central Zone, Mendefera and Dekemhare. Most data for the study were collected in a survey of 120 respondents using a structured questionnaire. To obviate the problem of multicollinearity among explainatory variables, ridge regression was used to estimate milk production functions for each study area. Production elasticities of variable inputs, marginal products (MPx), values of marginal products (VMPx), marginal rates of input substitution (MRS) and least-cost combinations of purchased concentrates and forage were estimated for the three regions. The VMPs of all inputs for Central Zone dairy farmer respondents were estimated to be greater than their input prices, implying that the resources were under-utilized from a profit-maximising perspective (i.e. where VMPx = Px). However, respondents in Mendefera and Dekemhare used concentrates in excess of optimum levels (i.e. VMPx
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Bibliographic InfoArticle provided by Agricultural Economics Association of South Africa (AEASA) in its journal Agrekon.
Volume (Year): 45 (2006)
Issue (Month): 2 (June)
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