A Multi-objective Approach to Integrating Agricultural Economic and Environmental Policies

Lakshminarayan, P. G.; Johnson, Stanley R.; Bouzaher, Aziz

doi:10.1006/jema.1995.0082

Cited by 24 publications

(7 citation statements)

References 12 publications

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“…Moreover, the use of various multi-criteria methods are often not done in an isolated or individual way, but integrated or in a combined form, complementing the procedures performed, as evidenced by the work of Zekri and Romero (1991), Poeta (1994), Lakshminarayan et al (1995), Van Huylenbroeck (1997), Mimouni et al (2000), Raju et al (2001), El-Gayar and Leung (2001), Carvalho (2006), Akkal-Corfini et al (2007), Latinopoulos (2007), Marta-Costa (2008, 2010, and Marta-Costa et al (2013) where objectives of multiple nature, which included criteria for economic, social, and/or environmental, have been equated.…”

Section: Decision Making Support Models For Agriculturementioning

confidence: 99%

The Objectives and Priorities for the Azorean Dairy Farmers’ Decisions

Silva

Marta-Costa

Berbel

2014

The Agricultural Economics of the 21st Century

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Section: Decision Making Support Models For Agriculturementioning

confidence: 99%

The Objectives and Priorities for the Azorean Dairy Farmers’ Decisions

Silva

Marta-Costa

Berbel

2014

The Agricultural Economics of the 21st Century

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“…CoPr helps the DM to choose an optimum or best-compromise solution, on the basis of distance function, from the efficient ones generated by a combination of attribute scores. This technique is preferred by many researchers because of the simplicity of distance-based methods, their relationship to multiattribute utility theory, and the availability of solution algorithms [18].…”

Section: Compromise Programmingmentioning

confidence: 99%

“…It is a member of the family of L p -metric (known as Minkovsky metric) [18], which is represented in its general form as:…”

Section: Distance Measure In Compromise Programmingmentioning

confidence: 99%

Spatial based compromise programming for multiple criteria decision making in land use planning

Baja

Chapman

Dragovich

2006

Environ Model Assess

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Today, competing land use is continuing to occur in many developed regions. In the Agricultural Development Zone of Western Sydney Region, which is characterised by complex landscape patterns, land use competition is widespread. From a land use planning perspective, identification of suitable locations for a given type of land use is necessary for decision makers to formulate land use alternatives in different locations, based on existing land potential and constraints. For such a region, use of a simple method that implements a categorical system and considers only inherent land characteristics in the analysis is often inadequate to arrive at an optimal spatial decision. The primary aim of this paper is to develop spatial modelling procedures for agricultural land suitability analysis using compromise programming (CoPr) and fuzzy set approach within a geographical information systems (GIS) environment. Five main sets of spatial data for use as decision criteria were developed by using fuzzy set methodology: a land suitability index (LSI) for maximising the land productivity objective; an erosion tolerance index (ETI) for minimising the erosion risk objective; a runoff curve number (CN) for maximising the water discharge regulation objective; an accessibility (RP) measure for maximising the land accessibility objective; and the proximity to water body (WP) for minimising the water pollution objective. An L p -metric was used in the analysis utilising different strategies with representative indices ranging from a situation where full tradeoff among criteria occurs to a noncompensatory condition. Different weighting combinations were also applied, and decision analysis was carried out by using values ranging from 0 to 1.0, where 1.0 is considered as an ideal point. The CoPr model demonstrated in this paper yielded a promising result, as several different techniques of sensitivity analysis show reasonably good results. Likewise, an overlay of that result with the present land use/land cover indicates a good corresponding spatial matching between existing land use (orchard and cultivated land), and the cells (land parcels) classified as the best in CoPr. The results are amenable to various map display techniques, either using continuous values or by defining different cut off points in the data space within a raster GIS environment.

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“…However, the policy issue is complicated since it is related to many socioeconomic, environmental, and political factors (Rinaldi et al, 1996). Since the 1990s, there have been many studies that related environmental policies to economic development and water-quality management (Lakshminarayan et al, 1994;Takyi and Lence, 1999). Somlyody (1995) addressed the issues of policy, legislation and institution as parts of water-quality management.…”

Section: Policies Of Water-quality-managementmentioning

confidence: 99%