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
Cm. Yates et T. Rehman, 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, The Journal of the Operational Research Society, 47(11), 1996, pp. 1327-1342
Citations number
13
Categorie Soggetti
Management,"Operatione Research & Management Science","Operatione Research & Management Science
Despite many advances in biotechnology being futuristic, in some indus
tries such technological improvements are:now becoming generally avail
able for absorption into commercial practice. The new reproductive tec
hnologies for bovine animals are such an example. For a regulated indu
stry like agriculture, an ex ante evaluation of the impact of their ad
option is the concern of policy makers. This paper describes a modelli
ng strategy devised to assess these impacts, using a sequence of stoch
astic, financial and linear programming models. A set of individual fa
rm type models were developed and later extended to a national model t
o simulate the interactions that occur between dairy and beef enterpri
ses and the competition between them for resources on individual farms
. Restraints reflecting national policies such as quotas on milk produ
ction and industry support through subsidies are built into the model
to explore several scenarios. These models are used to assess the impa
ct of new technologies on dairy and beef production nationally and for
regions which have been identified by the Ministry of Agriculture, Fi
sheries and Food.