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The study focuses on the relations between landscape structure and composition, functions and benefits, and its contribution to the regional competitiveness. The Bayesian Belief Network method has occurred to be useful for the analysis of the problem, however, the proper determination of the relationship between the variables in the model, requires a large number of observations based on the assessments of experts. It was found that all considered landscape elements (fields, forests, shelterbelts, and water reservoirs) have a positive influence on regional competitiveness and the potential of agricultural land. The strongest, positive impact on the competitiveness of the region have agricultural fields and pastures.

Keywords: agricultural landscape ; benefits ; competitiveness ; Bayesian Belief Network

Subject(s): Research Methods/ Statistical Methods

Issue Date: 2014-08

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/182925

Total Pages: 6

Record appears in: European Association of Agricultural Economists (EAAE) > 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia





Autor: Malak-Rawlikowska, Agata ; Kobus, Pawel

Fuente: http://ageconsearch.umn.edu/record/182925?ln=en



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