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Bayesian Belief Network approach in assessment of agricultural landscapes competitiveness

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  • Malak-Rawlikowska, Agata
  • Kobus, Pawel
Abstract
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.

Suggested Citation

  • Malak-Rawlikowska, Agata & Kobus, Pawel, 2014. "Bayesian Belief Network approach in assessment of agricultural landscapes competitiveness," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182925, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae14:182925
    DOI: 10.22004/ag.econ.182925
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    Research Methods/ Statistical Methods;

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