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A Multicriteria Analysis to Support Natural Resource Governance: The Case of Chestnut Forests

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  • Stefano Bruzzese

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy)

  • Simone Blanc

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy)

  • Silvia Novelli

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy)

  • Filippo Brun

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy)

Abstract

Efficient natural resource management prevents and reduces negative impacts, such as environmental damage, misappropriation of resources, and conflicts; several strategies can be leveraged to conserve, protect, and enhance natural resources. Multicriteria decision analysis (MCDA) is useful in providing solutions to addressing decision choice problems. In this study, the natural resource under evaluation is the chestnut forest, with the objective of valorising its supply chains. The methodology applied is A’WOT, which allows previously identified factors, using a qualitative SWOT matrix, to be ordered through an objective quantification using the AHP (analytic hierarchy process), which is a multicriteria decision support method. The survey was conducted with a group of chestnut resource ( n = 20) experts. The SWOT matrix identified a total of 20 factors: 6 strengths and 6 weaknesses and 4 factors each for opportunities and threats. The results express a clear stakeholder interest, which identifies the significant role of civil society in directing management choices for the provision and enhancement of ecosystem and vocational services. This study evaluated the adaptability of decision support tools applied to a real case of forest resource management to identify and order factors useful to enhance the resource and stimulate the supply chains to achieve greater added value. In a general sense, the methodological potential emerged to replicate or improve the research in other geographical regions, whether regional or extraregional, or even on a larger scale, such as on a national level.

Suggested Citation

  • Stefano Bruzzese & Simone Blanc & Silvia Novelli & Filippo Brun, 2023. "A Multicriteria Analysis to Support Natural Resource Governance: The Case of Chestnut Forests," Resources, MDPI, vol. 12(3), pages 1-13, March.
    • Handle: RePEc:gam:jresou:v:12:y:2023:i:3:p:40-:d:1102474
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    References listed on IDEAS

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    1. Stefano Bruzzese & Simone Blanc & Filippo Brun, 2020. "Strategies for the Valorisation of Chestnut Resources in Italian Mountainous Areas from a Sustainable Development Perspective," Resources, MDPI, vol. 9(5), pages 1-15, May.
    2. L.C. Koo & Hannah Koo, 2007. "Holistic approach for diagnosing, prioritising, implementing and monitoring effective strategies through synergetic fusion of SWOT, Balanced Scorecard and QFD," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 3(1), pages 62-78.
    3. Graversgaard, Morten & Jacobsen, Brian H. & Hoffmann, Carl Christian & Dalgaard, Tommy & Odgaard, Mette Vestergaard & Kjaergaard, Charlotte & Powell, Neil & Strand, John A. & Feuerbach, Peter & Tonder, 2021. "Policies for wetlands implementation in Denmark and Sweden – historical lessons and emerging issues," Land Use Policy, Elsevier, vol. 101(C).
    4. Kurttila, Mikko & Pesonen, Mauno & Kangas, Jyrki & Kajanus, Miika, 2000. "Utilizing the analytic hierarchy process (AHP) in SWOT analysis -- a hybrid method and its application to a forest-certification case," Forest Policy and Economics, Elsevier, vol. 1(1), pages 41-52, May.
    5. Bauer, Tina & de Jong, Wil & Ingram, Verina & Arts, Bas & Pacheco, Pablo, 2022. "Thriving in turbulent times: Livelihood resilience and vulnerability assessment of Bolivian Indigenous forest households," Land Use Policy, Elsevier, vol. 119(C).
    6. Wolfgang Ossadnik & Stefanie Schinke & Ralf H. Kaspar, 2016. "Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis," Group Decision and Negotiation, Springer, vol. 25(2), pages 421-457, March.
    7. Sangmin Lee & Donghan Kim & Sunwoo Park & Wonseok Lee, 2021. "A Study on the Strategic Decision Making Used in the Revitalization of Fishing Village Tourism: Using A’WOT Analysis," Sustainability, MDPI, vol. 13(13), pages 1-12, July.
    8. Roberto Cagliero & Francesco Bellini & Francesco Marcatto & Silvia Novelli & Alessandro Monteleone & Giampiero Mazzocchi, 2021. "Prioritising CAP Intervention Needs: An Improved Cumulative Voting Approach," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    9. Silvia Novelli & Monica Vercelli & Chiara Ferracini, 2021. "An Easy Mixed-Method Analysis Tool to Support Rural Development Strategy Decision-Making for Beekeeping," Land, MDPI, vol. 10(7), pages 1-17, June.
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    1. Asimina Kouriati & Anna Tafidou & Evgenia Lialia & Angelos Prentzas & Christina Moulogianni & Eleni Dimitriadou & Thomas Bournaris, 2024. "A Multicriteria Decision Analysis Model for Optimal Land Uses: Guiding Farmers under the New European Union’s Common Agricultural Policy (2023–2027)," Land, MDPI, vol. 13(6), pages 1-22, June.

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