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Evaluating the Potential Contribution of Multi-Attribute Auctions to Achieve Agri-Environmental Targets and Efficient Payment Design.

Authors :
Vergamini, Daniele
Viaggi, Davide
Raggi, Meri
Source :
Ecological Economics. Oct2020, Vol. 176, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

This paper analyses the performance of a multi-attribute auction for securing agri-environmental outcomes and cost-effective agri-environmental payments (AEPs). We set up a discriminatory price auction model in which farmers make an offer based on two attributes (i.e. the AEP and a proxy of environmental outcome). We provide a numerical simulation for a hypothetical agri-environmental scheme (AES) in Italy using FADN data 2011 for the Emilia-Romagna region (E-R). In three implementation scenarios, we compare the Budgetary cost-effectiveness (BCE), the Economic cost-effectiveness (ECE) and Information rent (IR) of the auction with that of two alternative policy instruments (i.e. uniform payment and marginal flat rate payment). Due to the heterogeneity in bidders' opportunity costs, the auction is more cost-effective than a uniform payment in delivering the target outcome. The performance indicators are sensitive to the farmers' expectations about the bid caps, revealing the opportunity of using both competition effect and information leverage associated with the implementation mechanism to increase the auction outcome when the budget is limited. • Reviews agri-environmental auction designs. • Simulates the performance of a multi-attribute auction for securing agri-environmental outcomes. • Applies an empirical methodology to derive farmers' compliance costs. • Analyses budgetary cost-effectiveness, economic cost-effectiveness and the information rent • Introduces independent bidders'' expectations and the joint acceptance probability rule. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09218009
Volume :
176
Database :
Academic Search Index
Journal :
Ecological Economics
Publication Type :
Academic Journal
Accession number :
144892292
Full Text :
https://doi.org/10.1016/j.ecolecon.2020.106756