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A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices

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  • S. M. Hatefi
  • S. A. Torabi

Abstract

Data envelopment analysis models are used for measuring composite indicators in various areas. Although there are many models for measuring composite indicators in the literature, surprisingly, there is no methodology that clearly shows how composite indicators improvement could be performed. This article proposes a slack analysis framework for improving the composite indicator of inefficient entities. For doing so, two dual problems originated from two data envelopment analysis models in the literature are proposed, which can guide decision makers on how to adjust the subindicators of inefficient entities to improve their composite indicators through identifying which subindicators must be improved and how much they should be augmented. The proposed methodology for improving composite indicators is inspired from data envelopment analysis and slack analysis approaches. Applicability of the proposed methodology is investigated for improving two well-known composite indicators, i.e., Sustainable Energy Index and Human Development Index. The results show that 12 out of 18 economies are inefficient in the context of sustainable energy index, for which the proposed slack analysis models provide the suggested adjustments in terms of their respected subindicators. Furthermore, the proposed methodology suggests how to adjust the life expectancy, the education, and the gross domestic product (GDP) as the three socioeconomic indicators to improve the human development index of 24 countries which are identified as inefficient entities among 27 countries.

Suggested Citation

  • S. M. Hatefi & S. A. Torabi, 2018. "A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 247-259, March.
  • Handle: RePEc:taf:emetrv:v:37:y:2018:i:3:p:247-259
    DOI: 10.1080/07474938.2016.1140286
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    Cited by:

    1. Nazli Goker & E. Ertugrul Karsak & Mehtap Dursun, 2022. "An Integrated QFD and Common Weight DEA-Based Fuzzy MCDM Framework for Performance Ranking of Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 409-430, January.
    2. Muhammad Riaz & Wojciech Sałabun & Hafiz Muhammad Athar Farid & Nawazish Ali & Jarosław Wątróbski, 2020. "A Robust q-Rung Orthopair Fuzzy Information Aggregation Using Einstein Operations with Application to Sustainable Energy Planning Decision Management," Energies, MDPI, vol. 13(9), pages 1-39, May.
    3. Giuliano Resce & Fritz Schiltz, 2021. "Sustainable Development in Europe: A Multicriteria Decision Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 509-529, June.
    4. José Antonio, Palomero-González & Vicent, Almenar-Llongo & Ramón, Fuentes-Pascual, 2022. "A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Kang, Duan, 2024. "The establishment of evaluation systems and an index for energy superpower," Applied Energy, Elsevier, vol. 356(C).
    6. Magdalena Ligus & Piotr Peternek, 2021. "The Sustainable Energy Development Index—An Application for European Union Member States," Energies, MDPI, vol. 14(4), pages 1-32, February.
    7. Serhat Yüksel & Hasan Dinçer & Yurdagül Meral, 2019. "Financial Analysis of International Energy Trade: A Strategic Outlook for EU-15," Energies, MDPI, vol. 12(3), pages 1-22, January.
    8. Sunčana Slijepčević & Željka Kordej-De Villa, 2021. "Public Attitudes toward Renewable Energy in Croatia," Energies, MDPI, vol. 14(23), pages 1-17, December.
    9. Alexei Yumashev & Beata Ślusarczyk & Sergey Kondrashev & Alexey Mikhaylov, 2020. "Global Indicators of Sustainable Development: Evaluation of the Influence of the Human Development Index on Consumption and Quality of Energy," Energies, MDPI, vol. 13(11), pages 1-13, June.
    10. Omrani, Hashem & Alizadeh, Arash & Amini, Mohaddeseh, 2020. "A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    11. Enzo Barberio Mariano & Diogo Ferraz & Simone Cristina Oliveira Gobbo, 2021. "The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 443-500, September.

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