Applying Multi-attribute Utility Theory to Decision Making in Environmental Planning: A Case Study of the Electric Utility in Korea
Tai-Yoo Kim,
Seung-Jun Kwak and
Seung-Hoon Yoo ()
Journal of Environmental Planning and Management, 1998, vol. 41, issue 5, 597-609
Abstract:
This paper applies the multi-attribute utility theory (MAUT) to obtaining value judgments concerning the significance of environmental impacts to achieve integration of environmental concerns at an early stage of planning, using the electric utility of Korea as a specific case study. An environmental multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of experts related to electric utility and a decision maker from Korea Electric Power Corporation (KEPCO). The societal values are derived from examining trade-offs between environmentalindex and money. The implications of the results for KEPCO are also discussed. We found that the work and results can provide valuable insights and decision opportunities for major decision making in environmental planning facing KEPCO.
Date: 1998
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09640569811470 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:41:y:1998:i:5:p:597-609
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20
DOI: 10.1080/09640569811470
Access Statistics for this article
Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page
More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().