Energy security in decision making and governance - Methodological analysis of energy trilemma index

Šprajc, Polona; Bjegović, Miroslav; Vasić, Bojana

doi:10.1016/j.rser.2019.109341

Cited by 73 publications

(30 citation statements)

References 29 publications

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“…The authors sought to create a model whose complexity is also its greatest weakness. The essential problem lies in a large number of variables (29) and in a way in which the variables are distributed by groups. The variables were grouped in order to apply common metrics to them.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

“…Energy security can be viewed as an indicator of availability, accessibility, affordability, and acceptability [27], whereby it is proposed to add fifth dimension (efficiency) to the four dimensions mentioned [28]. In the Energy Trilemma Index case (World Energy Council), energy security is observed through the unity of four dimensions: energy security, environmental sustainability, energy equity and country context [29]. Efforts are also evident to develop special measurement methods for countries with certain specificities.…”

Section: Introductionmentioning

confidence: 99%

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The International Energy Security Risk Index in Sustainable Energy and Economy Transition Decision Making—A Reliability Analysis

Podbregar

Šimić²,

Radovanović

et al. 2020

Energies

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The world economy and society are in a complex process of transition characterized by a high degree of uncertainty. Therefore, further development and management of the transition will largely depend on the quality of the decisions made and, accordingly, on the decision-making process itself. The main goal of this study is to analyze the reliability of International Energy Security Risk Index as a tool to support the process of energy and economy transition decision making, as closely related and highly interdependent phenomena. The index is composed of 29 aggregated variables (grouped into eight categories), and the research is conducted on a research sample of 25 countries over a period of 36 years. The reliability assessment is performed by using Multiple Regression Analysis. Multicollinearity test, plus Multicollinearity test with Variance Inflation Factors, is used for methodological verification. The test results indicate a high degree of unreliability of the Index, as is concluded based on the observed errors in its methodological settings. These errors primarily relate to a high degree of multicollinearity in all 29 variables, whereby independent variables lose their independence and thus jeopardize reliability of the total Index. Out of the eight groups of variables, the fuel imports group is the only one that does not show big methodological errors. The paper presents a recommendation for the improvement of the observed Index (review of the role of individual variables found to be particularly methodologically indicative), as well as a recommendation for different distribution of weighting coefficients.

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Section: Discussion and Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The International Energy Security Risk Index in Sustainable Energy and Economy Transition Decision Making—A Reliability Analysis

Podbregar

Šimić²,

Radovanović

et al. 2020

Energies

Self Cite

View full text Add to dashboard Cite

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“…This type of qualitative data can be used in BBN following methods like those described in [16,46] (pp. [11][12]. Network for the Period from 1995 to 2019…”

Section: Discussionmentioning

confidence: 99%

“…Principal Component Analysis has been applied to assess the methodology of the WETI using Pearson Correlation test, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Bartlett's Test of Sphericity. The conclusion was made from the results of Cronbach's Alpha test, and the authors deemed the WETI ranking unreliable [11].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

2020

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As system thinking is a recognized approach to the comprehension and realization of energy sustainability, this paper applies a holistic representation to the World Energy Trilemma Index (WETI) key indicators using Bayesian Belief Networks (BBN) to illuminate the probabilistic information of their influences in Saudi Arabia’s context. The reached realization is suggested to inform the policies to improve energy sustainability, and thus the country’s rank in the WETI. The analysis used two groups of learning cases, one used the energy statistics of the period from 1995 to 2019 to show the outlook of the Business as Usual path, and the other addressed the projected data for the period from 2018 to 2037 to investigate the expected impact of the new policies. For both BAU and new policies, the BBN calculated the improvement, stability, and declining beliefs. The most influential factors on energy sustainability performance were the electricity generation mix, CO2 emissions, energy intensity, and energy storage. Moreover, the interlinkage between the influential indicators and their causes was estimated in the new policies model. A back-casting analysis was carried out to show the changes required to drive the improvement belief to 100%. The compiled BBN can be used to support structuring policymaking and analyzing the projections’ outcomes by investigating different scenarios for improvement probabilities of energy sustainability.

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“…As there is no accepted definition, there is also no generally accepted methodology to fully assess energy security (Martišauskas et al 2018;Glynn et al 2017;Radovanovid et al 2017;Peña Balderrama et al 2017;Pleßmann & Blechinger 2017;Guivarch & Monjon 2017;Norvaiša & Galinis 2016;Kisel et al , 2016;Molyneaux et al 2016;Böhringer & Bortolamedi 2015;Jingzheng & Sovacool 2014;Gracceva & Zeniewski 2014;Mischke & Karlsson 2014;Martchamadol & Kumar 2014;Jewell et al 2013;Augutis et al 2012;Sovacool 2012;Kruyt et al 2009). National energy agencies and international organizations such as IEA (2004,2007), EECA (2006), NRC (2006), OEERE (2007) and ODYSSEE (2007) have developed measurement and monitoring systems for energy security and performance (Šprajc et al 2019;Zhou & Ang 2008). Measuring energy security using indicators also allows to monitor the environmental, political, economic and social concerns for sustainable development (Badea, 2010).…”

Section: Energy Security Measurementmentioning

confidence: 99%

A Critique of Energy Security Measurement

Koçaslan

2020

Uluslararası İktisadi Ve İdari Bilimler Dergisi

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Although ensuring energy security is a key concern of the countries all over the world; measuring energy security remains a challenge. There are several indicators and indices to measure energy security. However energy security measurement is a complicated issue because of the difficulty and sometimes impossibility to measure its components. Because the components differ by regions, countries and also by periods. Besides each of the indicators and indices has its advantages and disadvantages. Despite the growing energy security research there is still not an accepted, single measurement method. This study presents a comprehensive analysis of energy security measurement referring to the indicators and indices used by international organizations and governments to make comparisons and to yield policies. It is aimed to call attention to existing vagueness as a barrier to get high-quality and reliable data.

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Energy security in decision making and governance - Methodological analysis of energy trilemma index

Cited by 73 publications

References 29 publications

The International Energy Security Risk Index in Sustainable Energy and Economy Transition Decision Making—A Reliability Analysis

The International Energy Security Risk Index in Sustainable Energy and Economy Transition Decision Making—A Reliability Analysis

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

A Critique of Energy Security Measurement

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