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A conflict analysis approach for illuminating distributional issues in sustainability policy

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  • Munda, Giuseppe

Abstract

In the area of environmental and resource management and in policies aiming at sustainable development, conflicting issues and interests are the normal state of affairs. Mathematical approaches cannot of course be a panacea able to resolve all real-world conflicts; but they can help to provide more insight into the nature of these conflicts by providing systematic information. Moreover mathematical models are very useful in helping at finding potential social compromises by making a complex situation more transparent to policy-makers and lay people. This is the main objective of the conflict analysis procedure developed here. Distributional issues are taken into consideration by means of an eclectic approach using concepts from land-use planning, fuzzy cluster analysis and social choice. All the various properties presented by the proposed approach are made explicit thus allowing its evaluation on theoretical and empirical grounds. Possible relationships of complementarity or conflictuality with other existing approaches are also discussed briefly. A real-world illustrative example is presented too.

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  • Munda, Giuseppe, 2009. "A conflict analysis approach for illuminating distributional issues in sustainability policy," European Journal of Operational Research, Elsevier, vol. 194(1), pages 307-322, April.
  • Handle: RePEc:eee:ejores:v:194:y:2009:i:1:p:307-322
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    7. Borzoni, Matteo & Rizzi, Francesco & Frey, Marco, 2014. "Geothermal power in Italy: A social multi-criteria evaluation," Renewable Energy, Elsevier, vol. 69(C), pages 60-73.
    8. Tiangui Lv & Hualin Xie & Hua Lu & Xinmin Zhang & Lei Yang, 2019. "A Game Theory-Based Approach for Exploring Water Resource Exploitation Behavior in the Poyang Lake Basin, China," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    9. Anna Scolobig & Johan Lilliestam, 2016. "Comparing Approaches for the Integration of Stakeholder Perspectives in Environmental Decision Making," Resources, MDPI, vol. 5(4), pages 1-16, November.
    10. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    11. Suzana de Suzana Dantas Daher & Adiel Teixeira Almeida, 2012. "The Use of Ranking Veto Concept to Mitigate the Compensatory Effects of Additive Aggregation in Group Decisions on a Water Utility Automation Investment," Group Decision and Negotiation, Springer, vol. 21(2), pages 185-204, March.
    12. Eléonore Fauré & Åsa Svenfelt & Göran Finnveden & Alf Hornborg, 2016. "Four Sustainability Goals in a Swedish Low-Growth/Degrowth Context," Sustainability, MDPI, vol. 8(11), pages 1-18, October.
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