Bell, A, Parkhurst, G, Droppelmann, K et al. (1 more author) (2016) Scaling up pro-environmental agricultural practice using agglomeration payments: Proof of concept from an agent-based model. Ecological Economics, 126. pp. 32-41. ISSN 0921-8009
Abstract
Rates of adoption of pro-environmental practices in agriculture in many parts of the world are low. In some cases, this is attributable to the private costs borne by farmers to adopt these practices, often well in advance of any benefits - public or private - that they may bring. Monetary incentives, such as through payments-for-ecosystem services (PES) programs, may be of assistance, and in this study we examine the potential for a recent innovation (the agglomeration payment) to improve adoption of pro-environmental practice in a rural agricultural context. Agglomeration payments include bonus payments for adoption by neighboring farms, which may help to encourage both compliance with the program they promote as well as the overall diffusion of the program across rural contexts. We develop an abstract agent-based model (ABM) of an agglomeration payment program to encourage adoption of the pro-environment practice of conservation agriculture (CA). We find that agglomeration payments have the potential to improve levels of adoption of pro-environmental practice per program dollar, and may help to reduce required spending on project monitoring and enforcement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, Elsevier. This is an author produced version of a paper published in Ecological Economics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Agent-based model; Conservation agriculture; Malawi; Adoption; Pro-environmental practice; Agglomeration payment |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Oct 2016 16:33 |
Last Modified: | 16 Jan 2018 11:54 |
Published Version: | http://doi.org/10.1016/j.ecolecon.2016.03.002 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ecolecon.2016.03.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100004 |