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| Ferreira Junior, Silvio; Cunha, Nina Rosa da Silveira. |
| Because of the importance of the dairy activity in Brazil and the recognized call for increasing domestic production, the objective of this work was to verify technical efficiency levels in three alternative production systems, using the stochastic production frontier model. Factorial analysis was used to evidence the heterogeneity of resources applied to the activity, which allowed the 11 original quantitative variables to be synthesized in only three characteristic management variables - "machine use", “facility use" and "quality of the herd". Three additional variables, characteristic of the professionalization of the activity, were considered: “specialization", "scale" and "average cost". Both categories of variables allowed the levels of technical... |
| Tipo: Journal Article |
Palavras-chave: Technical efficiency; Dairy activity; Production systems.. |
| Ano: 2004 |
URL: http://purl.umn.edu/43683 |
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| Anderson, Duncan J.; Jack, Claire G.; Connolly, Niamh. |
| The European dairy industry faces an increasingly uncertain world. There is uncertainty about, for example, subsidy payment levels and compliance conditions, global competition, price variability, consumer demand, carbon footprints, water quality, animal welfare, food safety, and the environment. Farmers can reduce their exposure to these uncertainties by adopting production systems that are financially versatile over a wide range of possible circumstances. In this research project we develop a profit maximizing whole-farm model and employ it to identify financially optimal milk production systems for a typical Northern Ireland farm under varying market, policy and farm family conditions. The systems assessed range from lower yielding New Zealand type... |
| Tipo: Presentation |
Palavras-chave: Farm modelling; Production systems.; Farm Management; Risk and Uncertainty; Q12 and Q16.. |
| Ano: 2012 |
URL: http://purl.umn.edu/122460 |
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