Valoración Agraria multicriterio en un entorno con escasa información/Multicriteria Agricultural Valuation in an Environment with scarce information

El presente trabajo presenta un nuevo procedimiento de valoracion agraria multicriterio (MAVAM), especialmente disenado para situaciones en las que se dispone de escasa informacion, cuantificada o no, acerca de los elementos considerados. El procedimiento propuesto, valido para trabajar en decisiones individuales y colectivas, pretende capturar e incorporar en el proceso de valoracion, tanto la informacion objetiva asociada a los aspectos tangibles del problema como el conocimiento subjetivo del mismo vinculado al factor humano. Para ello, se combinan en un modelo de regresion dos de las tecnicas de decision multicriterio mas extendidas en la practica: el proceso analitico jerarquico (AHP) y la programacion por metas (GP). La primera permite capturar, mediante la utilizacion de comparaciones pareadas, la informacion tangible e intangible derivada de los elementos conocidos. La segunda, ademas de proporcionar una estimacion bastante robusta del modelo de regresion posibilita la integracion en el proceso de valoracion de la escasa informacion existente y la actitud personal ante la valoracion. La metodologia propuesta se ilustra mediante su aplicacion a un caso particular de valoracion de un activo agrario ubicado en la comarca de la Ribera de Valencia (Espana). This paper presents a new multicriteria agricultural valuation method (MAVAM) designed specifi cally for situations in which there is only limited information, whether quantifi ed or not, with respect to the elements being considered. The proposed procedure, valid for working in both individual and collective decision-making processes, aims to capture and incorporate into the valuation process both the objective information associated with the tangible aspects of the problem, as well as the subjective knowledge of that valuation process linked to the human factor. To that end, it combines in one regression model two of the most popular multicriteria decision-making techniques applied in practice: the analytical hierarchy process (AHP) and goal programming (GP). The fi rst of these allows us to capture, by way of the use of paired comparisons, the tangible and intangible information derived from the known elements. The second, in addition to providing a fairly robust estimation of the regression model, makes it possible to integrate into the valuation process both the limited information that exists and the personal attitude adopted with respect to that valuation. The methodology is illustrated by way of its application to the particular case of valuing an agricultural asset located in the Ribera e Valencia rural district of Spain.

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