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Implementing result-based agri-environmental payments by means of modelling
[working paper]
Corporate Editor
Helmholtz-Zentrum für Umweltforschung - UFZ
Abstract From a theoretical point of view, result-based agri-environmental payments are clearly preferable to action-based payments. However, they suffer from two major practical disadvantages: costs of measuring the results and payment uncertainty for the participating farmers. In this paper, we propose an ... view more
From a theoretical point of view, result-based agri-environmental payments are clearly preferable to action-based payments. However, they suffer from two major practical disadvantages: costs of measuring the results and payment uncertainty for the participating farmers. In this paper, we propose an alternative design to overcome these two disadvantages by means of modelling (instead of measuring) the results. We describe the concept of model-informed result-based agri-environmental payments (MIRBAP), including a hypothetical example of payments for the protection and enhancement of soil functions. We offer a comprehensive discussion of the relative advantages and disadvantages of MIRBAP, showing that it not only unites most of the advantages of result-based and action-based schemes, but also adds two new advantages: the potential to address trade-offs among multiple policy objectives and management for long-term environmental effects. We argue that MIRBAP would be a valuable addition to the agri-environmental policy toolbox and a reflection of recent advancements in agri-environmental modelling.... view less
Keywords
agriculture; agricultural policy; environmental policy; environmental protection; land use
Classification
Ecology, Environment
Economic Sectors
Free Keywords
agri-environmental policy; governance; incentives
Document language
English
Publication Year
2019
City
Leipzig
Page/Pages
28 p.
Series
UFZ Discussion Papers, 5/2019
ISSN
1436-140X
Status
Published Version; reviewed
Licence
Creative Commons - Attribution-NonCommercial-ShareAlike 4.0