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Role of multicriteria decision-aid (MCDA) to promote sustainable agriculture: heterogeneous data and different kinds of actors in a decision process

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Author Info
Stephanie Blanquart
Abstract

Regulation of pesticides in agricultural sector is becoming increasingly oriented to the use of best management practices in order to counter the effect of agricultural practices on health and groundwater. Several distinct criteria (economic, technical, environmental, social and informational criteria) need to be considered in the decision-making process. Moreover, the preferences of actors can vary according to the different management strategies and vested interests. In considering this context, a regional survey has been conducted in order to collect information on IPM opportunity. IPM is a pesticides management system which helps to solve pest problems while reducing environmental damage and increasing productivity. In conjunction with this regional survey, a multicriteria approach has been applied in order to help the decision-making process. ELECTRE-tri has been used and IPM opportunity evaluated from the results of the national survey and a critical review. Above all, key factors and impediments concerning the implementation of IPM have been identified.

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File URL: http://inderscience.metapress.com/link.asp?target=contribution&id=NV277WPG60811631
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Publisher Info
Article provided by Inderscience Enterprises Ltd in its journal International Journal of Agricultural Resources, Governance and Ecology.

Volume (Year): 8 (2009)
Issue (Month): 2 (January)
Pages: 258-281
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Handle: RePEc:mes:ijarge:v:8:y:2009:i:2:p:258-281

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Web page: http://inderscience.metapress.com/link.asp?target=journal&id=110835

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: groundwater quality; incentive instruments; local governance; multicriteria decision analysis; MCDA; sustainable agriculture; sustainable development; sustainability; pesticides management; environmental impact; productivity; rural areas;

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This page was last updated on 2009-12-19.


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