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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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| Anderson, Duncan J.; Jack, Claire G.; Connolly, Niamh; Ferris, Conrad; Carson, Alistair. |
| The European dairy industry faces an increasingly uncertain world. There is uncertainty about subsidy payment levels and compliance conditions, global competition, price variability, consumer demand, carbon footprints, water quality, biodiversity, landscapes, animal welfare, food safety, etc. The future is uncertain because it cannot be reliably predicted; therefore the industry must adopt production systems that will be financially robust over a wide range of possible circumstances. Adding to the uncertainty is a lack of consensus regarding the specific characteristics of these sustainable production systems. In this interdisciplinary research project we developed a profit maximizing whole-farm model and employ it to identify robust milk production... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Production Economics. |
| Ano: 2010 |
URL: http://purl.umn.edu/91801 |
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| Anderson, Duncan J.; Jack, Claire G.. |
| A non-linear mathematical farm business optimisation model, that is set within a spatial economic framework, has been developed. The model incorporates factors such as location, spatial market orientation and technology use, and identifies the business strategy that is optimal in different market and policy environments. Farm household time-use is incorporated centrally within the model, enabling it to examine how on-farm and off-farm activities compete for limited farm household human resources. The model is applied to a beef and sheep farm that can choose between selling livestock to meat processors or processing on-farm and selling direct to consumers. Model simulations reveal when it is optimal for the farm business to innovate in this way and how this... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm Management. |
| Ano: 2011 |
URL: http://purl.umn.edu/108782 |
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