OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH

A model is presented to investigate the optimal economic life cycle of grass leys with winter damage problems in northern Norway and to determine the threshold of winter damage before it is profitable to re-seed. A two-level hierarchic Markov process has been constructed using the MLHMP software. Th...

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Main Authors: Hegrenes, Agnar, Kristensen, Anders Ringgaard, Lien, Gudbrand D.
Format: Report
Language:unknown
Subjects:
Online Access:https://ageconsearch.umn.edu/record/25848/files/cp03he08.pdf
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spelling ftrepec:oai:RePEc:ags:iaae03:25848 2024-04-14T08:16:36+00:00 OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH Hegrenes, Agnar Kristensen, Anders Ringgaard Lien, Gudbrand D. https://ageconsearch.umn.edu/record/25848/files/cp03he08.pdf unknown https://ageconsearch.umn.edu/record/25848/files/cp03he08.pdf preprint ftrepec 2024-03-19T10:38:39Z A model is presented to investigate the optimal economic life cycle of grass leys with winter damage problems in northern Norway and to determine the threshold of winter damage before it is profitable to re-seed. A two-level hierarchic Markov process has been constructed using the MLHMP software. The model takes uncertainty concerning yield potential, damage estimation and weather dependent random fluctuations into account. A Kalman filter technique is used for updating of knowledge on yield potential and damage level. The application of the model is demonstrated using data from two commercial Norwegian farms. Since parameter estimates vary considerably among farms, it is concluded that decision support concerning optimal economic life cycle of grass leys should be done at farm level. The results also show the importance of using a flexible dynamic replacement strategy. Use of the model for a specific farm situation is illustrated. Resource /Energy Economics and Policy Report Northern Norway RePEc (Research Papers in Economics) Norway
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description A model is presented to investigate the optimal economic life cycle of grass leys with winter damage problems in northern Norway and to determine the threshold of winter damage before it is profitable to re-seed. A two-level hierarchic Markov process has been constructed using the MLHMP software. The model takes uncertainty concerning yield potential, damage estimation and weather dependent random fluctuations into account. A Kalman filter technique is used for updating of knowledge on yield potential and damage level. The application of the model is demonstrated using data from two commercial Norwegian farms. Since parameter estimates vary considerably among farms, it is concluded that decision support concerning optimal economic life cycle of grass leys should be done at farm level. The results also show the importance of using a flexible dynamic replacement strategy. Use of the model for a specific farm situation is illustrated. Resource /Energy Economics and Policy
format Report
author Hegrenes, Agnar
Kristensen, Anders Ringgaard
Lien, Gudbrand D.
spellingShingle Hegrenes, Agnar
Kristensen, Anders Ringgaard
Lien, Gudbrand D.
OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
author_facet Hegrenes, Agnar
Kristensen, Anders Ringgaard
Lien, Gudbrand D.
author_sort Hegrenes, Agnar
title OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
title_short OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
title_full OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
title_fullStr OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
title_full_unstemmed OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH
title_sort optimal economic length of leys: a dynamic programming approach
url https://ageconsearch.umn.edu/record/25848/files/cp03he08.pdf
geographic Norway
geographic_facet Norway
genre Northern Norway
genre_facet Northern Norway
op_relation https://ageconsearch.umn.edu/record/25848/files/cp03he08.pdf
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