Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis

Lianlian Song, Yelin Fu, Peng Zhou and Kin Keung Lai

Energy Economics, 2017, vol. 66, issue C, 313-319

Abstract: The World Energy Council annually releases the Energy Trilemma Index to measure the country-level energy performance. However, the preferences among the trilemma can change from country to country, which always is an undetermined issue and full of controversy. This paper comprehensively considers all possible preferences, and formulates interval evaluation results under certain preference. Such formulations are motivated by the observations that it is difficult to reach a consensus about the weights associated with the trilemma, since different weight elicitation methods inevitably produce different weighting schemes. Therefore, we propose an interval decision making problem and apply a Stochastic Multicriteria Acceptability Analysis to present a holistic measurements of the country-specific energy performance. This differs from the conventional wisdom that assigns exact values to corresponding weights, but explores the weight space to make each country the most preferred one. Our analysis is demonstrated by measuring the energy performance of top 10 countries based on 2015 Energy Trilemma Index.

Keywords: Energy performance; Stochastic Multicriteria Acceptability Analysis; Rank (search for similar items in EconPapers)
JEL-codes: C1 F5 M2 O5 P4 R1 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:66:y:2017:i:c:p:313-319

DOI: 10.1016/j.eneco.2017.07.004

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