A Duality Procedure to Elicit Nonlinear Multiattribute Utility Functions.

The practical implementation of the Multiattribute Utility Theory is limited, partly for the lack of operative methods to elicit the parameters of the Multiattribute Utility Function, particularly when this function is not linear. As a consequence, most studies are restricted to linear specifications, which are easier to estimate and to interpret. We propose an indirect method to elicit the parameters of a nonlinear utility function to be compatible with the actual behaviour of decision makers, rather than with their answers to direct surveys. The idea rests on approaching the parameter estimation problem as a dual of the decision problem and making the observed decisions to be compatible with a rational decision making process.Multiple-Criteria Analysis, Multi-Attribute Utility Function, Simulation, Agriculture.

ALTERNATIVE APPROACHES ON CONSTRUCTING A COMPOSITE INDICATOR TO MEASURE AGRICULTURAL SUSTAINABILITY

The aim of this paper is to carry out a comparative analysis of alternative methods on constructing composite indicators to measure global sustainability of the agricultural sector. This comparison is implemented empirically on the irrigated agriculture of the Duero basin (Spain) as a case study. For this purpose, this research uses a dataset of indicators previously calculated for different farm-types and policy scenarios. The results allow to establish a hierarchy of the policy scenarios on the basis of the level of sustainability achieved. Furthermore, analyzing the heterogeneity of different farms-types in each scenario, is also possible to determine the main features of the most sustainable farms in each case. All this information is useful in order to support agricultural policy design and its implementation, trying to increase the sustainability of this sector.Sustainability, Composite Indicators, Irrigated agriculture, Scenarios, Agricultural policy, Agricultural and Food Policy, Environmental Economics and Policy, Research Methods/ Statistical Methods,

Using DEA to estimate the importance of objectives for decision makers

In this paper we establish further connections between DEA and Multi-criteria Decision Analysis by suggesting a particular way to estimate preference weights for different objectives using DEA. We claim that the virtual multipliers obtained from a standard DEA model are not suitable to measure the preferences of a decision maker. Our suggestion takes advantage of the parallelism between DEA and the methodology proposed by Sumpsi et al. (1997) by projecting each unit on a linear combination of the elements of the pay-off matrix. Finally, we make an application of the proposed methodology to agricultural economics in a case study with Spanish data.Data Envelopment Analysis, Multicriteria Decision Analysis, preferences, weights, virtual multipliers.

Using a modified DEA model to estimate the importance of objectives. An application to agricultural economics.

This paper shows a connection between Data Envelopment Analysis (DEA) and the methodology proposed by Sumpsi et al. (1997) to estimate the weights of objectives for decision makers in a multiple attribute approach. This connection gives rise to a modified DEA model that allows to estimate not only efficiency measures but also preference weights by radially projecting each unit onto a linear combination of the elements of the payoff matrix (which is obtained by standard multicriteria methods). For users of Multiple Attribute Decision Analysis the basic contribution of this paper is a new interpretation of the methodology by Sumpsi et al. (1997) in terms of efficiency. We also propose a modified procedure to calculate an efficient payoff matrix and a procedure to estimate weights through a radial projection rather than a distance minimization. For DEA users, we provide a modified DEA procedure to calculate preference weights and efficiency measures which does not depend on any observations in the dataset. This methodology has been applied to an agricultural case study in Spain.Multicriteria Decision Making, Goal Programming, Weights, Preferences, Data Envelopment Analysis.

Multi-Criteria Analysis of Factors Use Level: The Case of Water for Irrigation

In this paper we present a methodology to analyse input use in the agricultural sector. The novelty of the theoretical model explained is that it has been developed considering a multi-criteria environment. Thus, the optimal input use condition is determined by the assessment of “multi-attribute utility” and “multiattribute marginal utility”. We show how the approach adopted in this paper is a generalization of the single-attribute expected utility theory. The theoretical model developed is further implemented in an empirical application that studies water for irrigation use as a particular case. Results show how multi-attribute utility functions elicited for a sample of 52 irrigators explain differences on irrigation water use in relative homogenous agricultural systems, albeit exhibiting similar water partial utility functions. We conclude that these differences come from the dissimilar weights that farmers attached to each attribute in the aggregate utility function. The irrigated area considered as case study is located in North-western Spain.Production Theory, Input Use, MAUT, Water for Irrigation, Spain

Agricultural Risk Aversion Revisited: A Multicriteria Decision-Making Approach

In modelling farm systems it is widely accepted that risk plays a central role. Furthermore, farmers' risk aversion determines their decisions in both the short and the long run. This paper presents a methodology based on multiple criteria mathematical programming to obtain relative and absolute risk aversion coefficients. We rely on multiattribute utility theory (MAUT) to elicit a separable additive multiattribute utility function and then estimate the risk aversion coefficients and apply this methodology to an irrigated area of Northern Spain. The results show a wide variety of attitudes to risk among farmers, who mainly exhibit decreasing absolute risk aversion (DARA) and constant relative risk aversion (CRRA).Risk analysis, Agriculture, Utility theory, Multiple criteria analysis, Risk and Uncertainty,

MULTI-CRITERIA ANALYSIS OF FACTORS USE LEVEL: THE CASE OF WATER FOR IRRIGATION

In this paper we present a methodology to analyse input use in the agricultural sector. The novelty of the theoretical model explained is that it has been developed considering a multi-criteria environment. Thus, the optimal input use condition is determined by the assessment of "multi-attribute utility" and "multi-attribute marginal utility". We show how the approach adopted in this paper is a generalization of the single-attribute expected utility theory. The theoretical model developed is further implemented in an empirical application that studies water for irrigation use as a particular case. Results show how multi-attribute utility functions elicited for a sample of 52 irrigators explain differences on irrigation water use in relative homogenous agricultural systems, albeit exhibiting similar water partial utility functions. We conclude that these differences come from the dissimilar weights that farmers attached to each attribute in the aggregate utility function. The irrigated area considered as case study is located in North-western Spain.Resource /Energy Economics and Policy,

Adoption of GMHT Crops: Coexistence Policy Consequences in the European Union

Agricultural and Food Policy, Crop Production/Industries,

Sustainability assessment of olive grove in Andalusia: A methodological proposal

Recently the olive sector has had important changes in Andalusia due to both the enlargement and the intensification of farming. The expansion of the olive grove in Andalusia is causing sustainability problems, not only from the socio-economic dimension (profit reduction) but environmental (erosion, water pollution or biodiversity losses). The main objective of this study is to develop a methodology to analyse the sustainability of the olive grove farms in Andalusia. This methodology will allow us to bear with the three dimensions of sustainability (economic, social and environmental) as well as to obtain a precise diagnosis of the olive grove through a selection of a set of indicators. This methodology will be applied in future research works in order to build a basis to help both decision-making processes and implementation of public policies.Olive tree, Sustainability, Indicators, Agricultural and Food Policy, Crop Production/Industries, Environmental Economics and Policy, Farm Management, Land Economics/Use, Production Economics,

Water Markets in Spain: Performance and Challenges

Law 46/1999 incorporated formal water markets into the Spanish legal and regulatory framework, allowing spot water markets and the creation of water banks. The implementation of water markets in Spain aimed at improving the efficiency of water use by reallocating water towards uses with higher added value. However, the performance of water markets in Spain has been rather disappointing, since they have been operative only during drought periods, and even under these extreme scarcity situations, trading activity counted for less than 5.0% of total water use. The narrowness of the market suggests that there are some barriers hampering their effective functioning. This paper examines the evolution and performance of water markets in Spain, relying on a transaction costs analysis framework. This analysis allows the identification of the main factors impeding water markets from operating effectively as a water reallocation tool. This analysis also provides some guidelines on how to overcome these obstacles and, thus, how to improve the efficiency of water use