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A multiple criteria decision making approach to manure management systems in the Netherlands

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  • Gebrezgabher, Solomie A.
  • Meuwissen, Miranda P.M.
  • Oude Lansink, Alfons G.J.M.

Abstract

The intensification of livestock operations in the last few decades has resulted in an increased social concern over the environmental impacts of livestock operations and thus making appropriate manure management decisions increasingly important. A socially acceptable manure management system that simultaneously achieves the pressing environmental objectives while balancing the socio-economic welfare of farmers and society at large is needed. Manure management decisions involve a number of decision makers with different and conflicting views of what is acceptable in the context of sustainable development. This paper developed a decision-making tool based on a multiple criteria decision making (MCDM) approach to address the manure management problems in the Netherlands. This paper has demonstrated the application of compromise programming and goal programming to evaluate key trade-offs between socio-economic benefits and environmental sustainability of manure management systems while taking decision makers’ conflicting views of the different criteria into account. The proposed methodology is a useful tool in assisting decision makers and policy makers in designing policies that enhance the introduction of economically, socially and environmentally sustainable manure management systems.

Suggested Citation

  • Gebrezgabher, Solomie A. & Meuwissen, Miranda P.M. & Oude Lansink, Alfons G.J.M., 2014. "A multiple criteria decision making approach to manure management systems in the Netherlands," European Journal of Operational Research, Elsevier, vol. 232(3), pages 643-653.
  • Handle: RePEc:eee:ejores:v:232:y:2014:i:3:p:643-653
    DOI: 10.1016/j.ejor.2013.08.006
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    2. Brandt, Patric & Kvakić, Marko & Butterbach-Bahl, Klaus & Rufino, Mariana C., 2017. "How to target climate-smart agriculture? Concept and application of the consensus-driven decision support framework “targetCSA”," Agricultural Systems, Elsevier, vol. 151(C), pages 234-245.
    3. Köninger, Julia & Lugato, Emanuele & Panagos, Panos & Kochupillai, Mrinalini & Orgiazzi, Alberto & Briones, Maria J.I., 2021. "Manure management and soil biodiversity: Towards more sustainable food systems in the EU," Agricultural Systems, Elsevier, vol. 194(C).
    4. Jones, Dylan & Florentino, Helenice & Cantane, Daniela & Oliveira, Rogerio, 2016. "An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders," European Journal of Operational Research, Elsevier, vol. 255(3), pages 845-855.
    5. Anissa Frini & Sarah Benamor, 2018. "Making Decisions in a Sustainable Development Context: A State-of-the-Art Survey and Proposal of a Multi-period Single Synthesizing Criterion Approach," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 341-385, August.
    6. Kim Maund & Mark Maund & Thayaparan Gajendran, 2022. "Land use planning: An opportunity to avert devastation from bushfires," Environment and Planning B, , vol. 49(5), pages 1371-1388, June.
    7. Hanks, Robert W. & Weir, Jeffery D. & Lunday, Brian J., 2017. "Robust goal programming using different robustness echelons via norm-based and ellipsoidal uncertainty sets," European Journal of Operational Research, Elsevier, vol. 262(2), pages 636-646.
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