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A fuzzy cognitive mapping approach for the assessment of public-goods governance in agricultural landscapes

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  • Targetti, Stefano
  • Schaller, Lena L.
  • Kantelhardt, Jochen

Abstract

In Europe, growing concerns about the environmental impacts of agriculture have stimulated the development of more efficient governance options to be included in, or to complement, current agri-environmental policies. However, a significant hurdle for the implementation of enhanced policy tools is the difficult adaptation of promising approaches, such as collective contracts and private-based payments for environmental services, to the locally specific, socio-economic and institutional contexts of different European regions. In this study, we apply a participatory approach based on the Fuzzy Cognitive Mapping technique, in assessing different policy mechanisms, including improved monetary incentives and the potential for an enhanced design of agricultural landscape governance. Our analysis specifically assesses the interactions between rural society, public goods and policies under different, locally relevant economic and social scenarios. The study is carried out in the Marchfeld, an intensive agriculture case-study area in Eastern Austria, which features a number of environmental problems. The work is based on a two-year-long process including focus groups, mind mapping and scenario co-development, as well as individual interviews with local stakeholders.

Suggested Citation

  • Targetti, Stefano & Schaller, Lena L. & Kantelhardt, Jochen, 2021. "A fuzzy cognitive mapping approach for the assessment of public-goods governance in agricultural landscapes," Land Use Policy, Elsevier, vol. 107(C).
    • Handle: RePEc:eee:lauspo:v:107:y:2021:i:c:s0264837718313188
    DOI: 10.1016/j.landusepol.2019.04.033
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