251 research outputs found
A Comparison of Agricultural Sector Models: CRAM, DRAM, SASM and the KVL Model
No full textFour different programming models dealing with the agricultural sectors in Canada, The Netherlands, Sweden and Denmark are analysed. The purpose is to construct a knowledge base for the development of a new sector model for Danish agriculture. This analysis has created a valuable set of resources for use in the development of the model.Agribusiness,
A Relatively Easy-Access Description of the Logistics, Purposes and Function of the Sector Model KRAM
No full textThis working paper describes the design of KRAM; a model of the Danish agricultural sector that has been developed in a research project at KVL between 1997 and 2000. The purpose of this paper is to give a general and non-technical overview of the model. The paper is directed at people who want a more detailed knowledge of the model, but without addressing the underlying formulas and programs. The paper focuses on the logistics of the model. This includes how data are produced and utilized within the model and how the various submodels are designed and work together. Furthermore the calibration and solving procedures and the time aspects of the models are described. Some of these descriptions may appear somewhat interim due to the fact that the model itself was not fully operational when this paper was published.Agribusiness,
Review: Doing educational research : a guide for first time researchers
No full textTitle: Doing Educational Research : a guide for first time researchers
Author/Editor: Clive Opie
Publisher: Sage Publications
Publication Date: 2004
ISBN: Paperback 0761970029
Price: £18.99
Reviewed by: Torben Steeg, Independent D&T Consultan
KRAM—A Sector Model of Danish Agriculture: Background and Framework Development
No full textwww.card.iastate.ed
Visual Author-ship: Creativity and Intentionality in Media
No full textBook review of Torben Grodal (ed.): Visual Author-ship: Creativity and Intentionality in Media Northern Lights, vol. 3, 2004, Museum Tusculanum Press/University of Copenhage
A Comparison of Agricultural Sector Models: CRAM, DRAM, SASM and the KVL Model
No full textFour different programming models dealing with the agricultural sectors in Canada, The Netherlands, Sweden and Denmark are analysed. The purpose is to construct a knowledge base for the development of a new sector model for Danish agriculture. This analysis has created a valuable set of resources for use in the development of the model
KRAM - A Sector Model of Danish Agriculture - Background and Framework Development
No full textA model of the Danish agricultural sector named KRAM (KVL's Regionalized Agricultural Model) is developed in this paper. KRAM can be described as a spatial, dynamic, nonlinear, programming sector model. KRAM's purpose is to make policy analysis in the complex market conditions Danish agriculture is working under today. In order to do this in the best possible way the model optimizes the production functions on a very disaggregated level. This allows for analysis of changes in physical constraints to production, as well as price changes. The model is capable of calculating some environmental effects of agricultural production, and provides detailed spatial description of the agricultural economy and production. The time horizon is 10 years, and the model allows farms to develop during those years both in terms of investments on the farm, and in terms of the number of farms in different farm groups. The structural development is determined endogenously using profits and a Markov chain model. The main purpose of this paper is to outline the model, and place it in a theoretical framework. KRAM will be programmed in a set of smaller submodels, in order to ease the implementation of new features. The open structure also reduces the demand for computation power, and reduces the solution time significantly. Later papers will look into the programming, calibration and application of KRAM
A Relatively Easy-Access Description of the Logistics, Purposes and Function of the Sector Model KRAM
No full textThis working paper describes the design of KRAM; a model of the Danish agricultural sector that has been developed in a research project at KVL between 1997 and 2000. The purpose of this paper is to give a general and non-technical overview of the model. The paper is directed at people who want a more detailed knowledge of the model, but without addressing the underlying formulas and programs. The paper focuses on the logistics of the model. This includes how data are produced and utilized within the model and how the various submodels are designed and work together. Furthermore the calibration and solving procedures and the time aspects of the models are described. Some of these descriptions may appear somewhat interim due to the fact that the model itself was not fully operational when this paper was published
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