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Estimating Relative Efficiency of Electricity Consumption in 42 Countries during the Period of 2008–2017

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  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
    Department of Industrial Engineering and Management, Fortune Institute of Technology, Kaohsiung 83160, Taiwan)

  • Quoc-Chien Luu

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Thi-Kim-Lien Nguyen

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

Abstract

Augmentation of electrical equipment is pushing for an increase in energy supply sources all over the world, as electricity consumption (EC) typically rises with growing populations. The value of EC reveals economic development and degree of emissions. Therefore, this research uses the undesirable outputs model in data envelopment analysis (DEA) for estimating relative efficiency of electricity consumption in 42 countries from 2008 to 2017. According to the principle of an undesirable outputs model and studied objectives, variables are selected that included population and EC as inputs, gross domestic product (GDP) as desirable output, and carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) as undesirable outputs. The empirical results indicate that 420 terms of 42 countries during the period of 2008–2017 have 102 efficient and 310 inefficient terms. Moreover, the interplay level between input and output factors every year is presented via scores. The study suggests the effect of EC to human life and propounds the emission status to look for directions to overcome inefficient terms.

Suggested Citation

  • Chia-Nan Wang & Quoc-Chien Luu & Thi-Kim-Lien Nguyen, 2018. "Estimating Relative Efficiency of Electricity Consumption in 42 Countries during the Period of 2008–2017," Energies, MDPI, vol. 11(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3037-:d:180680
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    References listed on IDEAS

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    1. Shailendra Singh & Abdulsalam Yassine, 2018. "Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting," Energies, MDPI, vol. 11(2), pages 1-26, February.
    2. Nidhi Tewathia, 2014. "Determinants of the Household Electricity Consumption: A Case Study of Delhi," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 337-348.
    3. Altinay, Galip & Karagol, Erdal, 2005. "Electricity consumption and economic growth: Evidence from Turkey," Energy Economics, Elsevier, vol. 27(6), pages 849-856, November.
    4. Wen-Cheng Lu, 2016. "Electricity Consumption and Economic Growth: Evidence from 17 Taiwanese Industries," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
    5. Pilli-Sihvola, Karoliina & Aatola, Piia & Ollikainen, Markku & Tuomenvirta, Heikki, 2010. "Climate change and electricity consumption--Witnessing increasing or decreasing use and costs?," Energy Policy, Elsevier, vol. 38(5), pages 2409-2419, May.
    6. Lean, Hooi Hooi & Smyth, Russell, 2010. "CO2 emissions, electricity consumption and output in ASEAN," Applied Energy, Elsevier, vol. 87(6), pages 1858-1864, June.
    7. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    9. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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    Cited by:

    1. Chia-Nan Wang & Hector Tibo & Duy Hung Duong, 2020. "Renewable Energy Utilization Analysis of Highly and Newly Industrialized Countries Using an Undesirable Output Model," Energies, MDPI, vol. 13(10), pages 1-21, May.

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