From Agricultural Landscapes to the Regional Competitiveness- Bayesian Belief Network Approach

Agata Malak-Rawlikowska, Edward Majewski and Pawel Kobus

No 212220, 2015 Conference, August 9-14, 2015, Milan, Italy from International Association of Agricultural Economists

Abstract: The study focuses on the relations between landscape structure and composition, functions and benefits, and its contribution to the regional competitiveness understood as an ability to generate income, at the same time assuring employment and wellbeing of the society. The question is whether agricultural landscapes, through provision of ecosystem services could contribute to the development and competitiveness of the rural areas. The causal connections between landscape management, socio-economic benefits and mechanisms influencing the income level have been described and analyzed on the example of the case study region1 – Chlapowski Landscape Park in Poland. The Bayesian Belief Network method was applied for the analysis of the abovementioned problem. It was found that all considered landscape elements (fields, forests, shelterbelts, and water reservoirs) have a positive influence on regional competitiveness. Agricultural land (fields and permanent grasslands) have the strongest, positive impact on the competitiveness of the region resulting from provisioning ecosystem services.

Keywords: Agricultural and Food Policy; Environmental Economics and Policy; Land Economics/Use (search for similar items in EconPapers)
Pages: 14
Date: 2015
New Economics Papers: this item is included in nep-agr and nep-env
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:iaae15:212220

DOI: 10.22004/ag.econ.212220

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