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Integration of Markov and Linear Programming Models to Assess the Farmgate and National Consequences of Adopting New Bovine Reproductive Technologies in the United Kingdom Agriculture

 

作者: YatesC. M.,   RehmanT.,  

 

期刊: Journal of the Operational Research Society  (Taylor Available online 1996)
卷期: Volume 47, issue 11  

页码: 1327-1342

 

ISSN:0160-5682

 

年代: 1996

 

DOI:10.1057/jors.1996.169

 

出版商: Taylor&Francis

 

关键词: agriculture;Markov chain;linear programming

 

数据来源: Taylor

 

摘要:

AbstractDespite many advances in biotechnology being futuristic, in some industries such technological improvements are now becoming generally available for absorption into commercial practice. The new reproductive technologies for bovine animals are such an example. For a regulated industry like agriculture, an ex ante evaluation of the impact of their adoption is the concern of policy makers. This paper describes a modelling strategy devised to assess these impacts, using a sequence of stochastic, financial and linear programming models. A set of individual farm type models were developed and later extended to a national model to simulate the interactions that occur between dairy and beef enterprises and the competition between them for resources on individual farms. Restraints reflecting national policies such as quotas on milk production and industry support through subsidies are built into the model to explore several scenarios. These models are used to assess the impact of new technologies on dairy and beef production nationally and for regions which have been identified by the Ministry of Agriculture, Fisheries and Food.

 

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