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Alternative approaches to constructing composite indicators: an application to construct a Sustainable Energy Index for APEC economies

Author

Listed:
  • Cheng Peng

    (Southwest University of Science and Technology)

  • Xunbo Wu

    (University of Science and Technology of China)

  • Yelin Fu

    (City University of Hong Kong)

  • Kin Keung Lai

    (City University of Hong Kong
    Guangdong University of Technology)

Abstract

Existing literature about constructing composite indicators (CIs) mainly depend on weighting sub-indicators. In this paper, we first use a state-of-the-art MCDM method with mild weights restrictions to aggregate sub-indicators, without determining exact values of weights. We take into consideration of all possible importance rankings of sub-indicators to construct CIs. Two alternative approaches, namely, minimizing the total deviation from the ideal point and minimizing the mean absolute deviation, are then proposed to develop weighting schemes with respect to all sub-indicators sequences. The proposed approaches are applied to construct a Sustainable Energy Index for eighteen APEC economies.

Suggested Citation

  • Cheng Peng & Xunbo Wu & Yelin Fu & Kin Keung Lai, 2017. "Alternative approaches to constructing composite indicators: an application to construct a Sustainable Energy Index for APEC economies," Operational Research, Springer, vol. 17(3), pages 747-759, October.
    • Handle: RePEc:spr:operea:v:17:y:2017:i:3:d:10.1007_s12351-016-0235-z
    DOI: 10.1007/s12351-016-0235-z
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    Cited by:

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    2. 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.
    3. Zhongfei Chen & Stavros Kourtzidis & Panayiotis Tzeremes & Nickolaos Tzeremes, 2022. "A robust network DEA model for sustainability assessment: an application to Chinese Provinces," Operational Research, Springer, vol. 22(1), pages 235-262, March.
    4. Puertas, R. & Marti, L., 2021. "International ranking of climate change action: An analysis using the indicators from the Climate Change Performance Index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    5. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    6. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    7. Xiaoye Jin & Meiying Li & Fansheng Meng, 2019. "Comprehensive Evaluation of the New Energy Power Generation Development at the Regional Level: An Empirical Analysis from China," Energies, MDPI, vol. 12(23), pages 1-15, December.

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