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A Multi-Stakeholder Approach to Energy Transition Policy Formation in Jordan
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
2018 (English)In: Group Decision and Negotiation in an Uncertain World: Proceedings / [ed] Ye Chen, Gregory Kersten, Rudolf Vetschera, Haiyan Xu, Cham: Springer, 2018, p. 190-202Conference paper, Published paper (Refereed)
Abstract [en]

We present the method used in an ongoing project in Jordan for a multi-stakeholder, multi-criteria problem of formulating a nationwide energy strategy for the country for the next decades. The Jordanian government has recognized the need for energy transition and the main goal of the energy strategy is to provide a reliable energy supply by increasing the share of local energy resources in the energy mix, while reducing dependency on imported fossil fuels, by diversifying energy resources, also including renewable energy sources, nuclear and shale oil, and by enhancing environmental protection. There were strong incentives for a collaborative approach, since the ways in which different stakeholder groups subjectively attach meanings to electricity generation technologies are recognized as important issues shaping the attainment of energy planning objectives. To understand the meaning of these constructs, we are using a multi-stakeholder multi-criteria decision analysis (MCDA) approach to elicit criteria weights and valuations.

Place, publisher, year, edition, pages
Cham: Springer, 2018. p. 190-202
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 315
Keywords [en]
Energy policies, Multi-stakeholder workshops, Multi-criteria decision analysis, Surrogate criteria weights, Robustness
National Category
Other Computer and Information Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-163185DOI: 10.1007/978-3-319-92874-6_15ISBN: 978-3-319-92874-6 (electronic)ISBN: 978-3-319-92873-9 (print)OAI: oai:DiVA.org:su-163185DiVA, id: diva2:1271934
Conference
18th International Conference, GDN 2018, Nanjing, China, June 9-13, 2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • nn-NB
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Output format
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