The use of a preference disaggregation method in energy analysis and policy making

Diakoulaki, D; Zopounidis, C; Mavrotas, G; Doumpos, M

dc.contributor.author	Diakoulaki, D	en
dc.contributor.author	Zopounidis, C	en
dc.contributor.author	Mavrotas, G	en
dc.contributor.author	Doumpos, M	en
dc.date.accessioned	2014-03-01T01:15:19Z
dc.date.available	2014-03-01T01:15:19Z
dc.date.issued	1999	en
dc.identifier.issn	0360-5442	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13436
dc.subject	Adverse Effect	en
dc.subject	Developing Country	en
dc.subject	Energy Analysis	en
dc.subject	Energy Conservation	en
dc.subject	Energy Intensity	en
dc.subject	Energy Policy	en
dc.subject	Energy Use	en
dc.subject	Financial Management	en
dc.subject	multicriteria decision aid	en
dc.subject	Policy Making	en
dc.subject	Utility Function	en
dc.subject	Time Dependent	en
dc.subject.classification	Thermodynamics	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	Decision theory	en
dc.subject.other	Energy conservation	en
dc.subject.other	Energy policy	en
dc.subject.other	Energy utilization	en
dc.subject.other	Environmental impact	en
dc.subject.other	Environmental protection	en
dc.subject.other	Synthetic fuels	en
dc.subject.other	Preference disaggregation method	en
dc.subject.other	UTilites Additives DIScriminantes (UTADIS) method	en
dc.subject.other	Energy management	en
dc.subject.other	energy conservation	en
dc.subject.other	energy planning	en
dc.subject.other	energy policy	en
dc.subject.other	methodology	en
dc.title	The use of a preference disaggregation method in energy analysis and policy making	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0360-5442(98)00081-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0360-5442(98)00081-4	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	Following the oil crisis, most developed countries have increasingly implemented measures for energy conservation and fuels substitution aimed at decreasing the energy intensities of their economies. These efforts have been further augmented during the eighties due to growing awareness of adverse effects of energy use on the environment. The measures and their effectiveness differ greatly from country to country, without clear identification of the relevant cause-effect relations. We examine this issue by using a multicriteria decision aid (MCDA) method based on preference disaggregation analysis. The method used is the UTADIS (UTilites Additives DIScriminantes) method that has already been widely applied for financial management. The problem examined in this paper has been formulated following the segmentation approach where a number of countries are grouped into a set of predefined classes according to their energy intensities. The UTADIS method proceeds to the estimation of a set of additive utility functions referring to various indices characterizing the economic and energy structure of each country. The analysis is performed at 3 distinct points in time in order to check for consistency of results and investigate time-dependent phenomena. The results show to what extent each of the examined characteristics influences the countries' energy effectiveness and may be further exploited in energy-policy making. They confirm that the UTADIS method is a powerful tool for examination of a wide range of real decision situations.Following the oil crisis, most developed countries have increasingly implemented measures for energy conservation and fuels substitution aimed at decreasing the energy intensities of their economies. These efforts have been further augmented during the eighties due to growing awareness of adverse effects of energy use on the environment. The measures and their effectiveness differ greatly from country to country, without clear identification of the relevant cause-effect relations. We examine this issue by using a multicriteria decision aid (MCDA) method based on preference disaggregation analysis. The method used is the UTADIS (UTilites Additives DIScriminantes) method that has already been widely applied for financial management. The problem examined in this paper has been formulated following the segmentation approach where a number of countries are grouped into a set of predefined classes according to their energy intensities. The UTADIS method proceeds to the estimation of a set of additive utility functions referring to various indices characterizing the economic and energy structure of each country. The analysis is performed at 3 distinct points in time in order to check for consistency of results and investigate time-dependent phenomena. The results show to what extent each of the examined characteristics influences the countries' energy effectiveness and may be further exploited in energy-policy making. They confirm that the UTADIS method is a powerful tool for examination of a wide range of real decision situations.	en
heal.publisher	Elsevier Science Ltd	en
heal.journalName	Energy	en
dc.identifier.doi	10.1016/S0360-5442(98)00081-4	en
dc.identifier.isi	ISI:000079381400008	en
dc.identifier.volume	24	en
dc.identifier.issue	2	en
dc.identifier.spage	157	en
dc.identifier.epage	166	en