The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach

Bernd Lengers and Wolfgang Britz
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Bernd Lengers: Universität Bonn = University of Bonn

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Abstract: The application of economic instruments to GHG emissions from dairy farms needs to rely on GHG indicators as actual emissions are impossible or extremely costly to measure. The choice of indicator impacts chosen abatement options, related costs and GHG actually emitted. A tool to quantify these relations is proposed which at its core consists of a highly detailed, mixed-integer dynamic programming model template able to cover a wide range of dairy farm characteristics and promising indicators. It allows deriving and comparing marginal abatement costs of GHGs emission for different farm types and indicators, informing the policy process about promising indicators, abatement strategies and related abatement and measurement costs.

Keywords: marginal abatement costs; emission indicators; dynamic mixed integer programming; greenhouse gas emissions; coûts marginaux de réduction; indicateurs d'émission; programmation mixte linéaire dynamique; émissions de gaz à effet de serre (search for similar items in EconPapers)
Date: 2012
Note: View the original document on HAL open archive server: https://hal.science/hal-00939237
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Citations: View citations in EconPapers (15)

Published in Revue d'Etudes en Agriculture et Environnement - Review of agricultural and environmental studies, 2012, 93 (2), pp.117-144. ⟨10.4074/S1966960712002019⟩

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Journal Article: The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach (2012)
Journal Article: The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00939237

DOI: 10.4074/S1966960712002019

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