Simpson, K, Armsworth, PR, Dallimer, M orcid.org/0000-0001-8120-3309 et al. (3 more authors) (2023) Improving the ecological and economic performance of agri-environment schemes: Payment by modelled results versus payment for actions. Land Use Policy, 130. 106688. ISSN 0264-8377
Abstract
Researchers and policy-makers have become increasingly interested in re-designing agri-environmental policy to improve both economic efficiency and ecological effectiveness. One idea within this debate has been payments for results (outcomes) rather than payment for actions. Payment for result policies have been argued to have some important advantages, but two key disadvantages are the higher risks faced by landowners, leading to low participation rates; and the potentially high costs of monitoring outcomes. Bartkowski et al. (2021) propose an alternative of payment for modelled results, which claims to avoid these two problems. Our paper provides the first application of this approach to spatially realistic patterns of ecological and economic heterogeneity for farmland biodiversity in England. We compare payment for modelled results findings with approximately equivalent payment for actions schemes intended to deliver increases in the same biodiversity indicators. Key insights are that payment for modelled results delivers superior predicted ecological outcomes for the same budgetary cost as payment for actions, whilst economic surpluses to farmers are also higher.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Agri-environmental policy; Farmland biodiversity; Payment for ecosystem services; Ecological-economic modelling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Funding Information: | Funder Grant number NERC (Natural Environment Research Council) NE/W007363/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Apr 2023 12:14 |
Last Modified: | 24 Apr 2023 12:14 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.landusepol.2023.106688 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198450 |