An ex-ante evaluation of agri-environmental contracts for the provision of landscape elements in an area of Emilia-Romagna Region
The objective of this paper is to set up a complete ex-ante evaluation procedure to support Decision Makers in designing efficient and effective agri-environmental contracts, combining elements of private and public decision making. Ex-ante comparison of policy design options (different contract lengths and level of payments) requires both simulations of farmers’ behaviour and evaluation of the farms simulations outcomes. Farm level analysis is based on a real options approach including in the simulations the timing of choice and the uncertainty in the future about price and decoupled payments. Aggregate policy impact is identified through the quantification impacts at territorial level and the weights are elicited with MCRID methods. Simulations in the case study show that relevant opportunities to improve policy design are available. Multicriteria Analysis is then used to aggregate impacts of many criteria, including not only effects on the environment, but also economic and social impacts.
Volume (Year): 55 (2008)
Issue (Month): (November)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.
- Bartolini, Fabio & Gallerani, Vittorio & Viaggi, Davide, 2008. "Ex-Ante Evaluation Of Agri-Environmental Schemes: Combining Elements Of Private And Public Decision Making," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6639, European Association of Agricultural Economists.
- Moskowitz, Herbert & Preckel, Paul V. & Yang, Aynang, 1992. "Multiple-criteria robust interactive decision analysis (MCRID) for optimizing public policies," European Journal of Operational Research, Elsevier, vol. 56(2), pages 219-236, January.
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