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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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    References listed on IDEAS

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    Cited by:

    1. Mikkel Bojesen & Luc Boerboom & Hans Skov-Petersen, 2014. "Towards a sustainable capacity expansion of the Danish biogas sector," IFRO Working Paper 2014/03, University of Copenhagen, Department of Food and Resource Economics.
    2. repec:eee:ejores:v:262:y:2017:i:2:p:636-646 is not listed on IDEAS
    3. 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.
    4. Yao, Yiyu & Zhou, Bing, 2016. "Two Bayesian approaches to rough sets," European Journal of Operational Research, Elsevier, vol. 251(3), pages 904-917.
    5. 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.
    6. David Gálvez Ruiz & José Luis Pino Mejías, 2016. "Dealing with Imprecision in Performance Evaluation Processes Using Indicators: A Fuzzy Distance-Based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 403-423, October.
    7. Pradeep Dogra & V. Sharda & P. Ojasvi & Shiv Prasher & R. Patel, 2014. "Compromise Programming Based Model for Augmenting Food Production with Minimum Water Allocation in a Watershed: a Case Study in the Indian Himalayas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5247-5265, December.

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