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| Anderson, Duncan J.; Keatley, Paul. |
| This paper describes how representative farm business models were employed to identify optimal beef and sheep production systems for Less Favoured Area (LFA) farms in Northern Ireland. The bio-economic models identify the optimal farming system for theses farms under various market and policy assumptions. They are useful, therefore, in helping to develop industry strategy. The models indicate that, under current market and policy conditions, a dairy-based beef system is likely to be the most profitable beef enterprise. However, depending on land quality and livestock housing resources, and the market and policy environment, suckler-based beef systems can also feature in the profit maximising enterprise mix. The results also suggest that the optimal sheep... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural and Food Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/50930 |
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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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| Anderson, Duncan J.; Tyler, Peter. |
| This paper examines optimal business development strategies for rural firms given the specific characteristics of their rural business environment. An investigation of rural business strategy informs public policy formation by helping to determine how rural firms would react to changes in their market and policy environment. Moreover, an explicit rural business strategy analysis should help rural business managers and advisers to identify appropriate responses to changes in factors external to the business. A mathematical business optimisation model, that is set within a spatial market framework, has been developed. The model incorporates factors such as spatial market orientation and technology use, and identifies the business strategy that is optimal in... |
| Tipo: Conference Paper or Presentation |
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| Ano: 2008 |
URL: http://purl.umn.edu/36766 |
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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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