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Evaluating the Context-Dependent Total-Factor Energy Efficiency of Counties and Cities in Taiwan

Author

Listed:
  • Jin-Li Hu

    (Institute of Business and Management, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan)

  • Tzu-Pu Chang

    (Department of Finance, National Yunlin University of Science and Technology, Yunlin 640, Taiwan)

Abstract

This paper applies the context-dependent total-factor energy efficiency (CD-TFEE) to determine the multi-layer disaggregate energy efficiency frontiers of twenty administrative regions in Taiwan for the year of 2016. The CD-TFEE overcomes the shortcoming of conventional TFEE index that TFEE is not able to find the “closest target” for each inefficient region in the short run. Furthermore, the CD-TFEE scores here deal with four types of energy inputs (electricity for production, electricity for household and non-household lighting, diesel sales, and gasoline sales), illustrating that multi-layer TFEE frontiers for each energy input in the case of Taiwan can be computed. Empirical results indicate that there are three levels of TFEE frontiers for electricity for production and four levels for other types of energy inputs. In addition, New Taipei City, Taipei City, Keelung City, and Penghu County are at the top level of TFEE frontier for all four energy inputs. This paper also demonstrates that the CD-TFEE procedure generates results different from the CD-DEA introduced by Seiford and Zhu (2003).

Suggested Citation

  • Jin-Li Hu & Tzu-Pu Chang, 2021. "Evaluating the Context-Dependent Total-Factor Energy Efficiency of Counties and Cities in Taiwan," Energies, MDPI, vol. 14(15), pages 1-10, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4615-:d:604826
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    References listed on IDEAS

    as
    1. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    2. Seiford, Lawrence M. & Zhu, Joe, 2003. "Context-dependent data envelopment analysis--Measuring attractiveness and progress," Omega, Elsevier, vol. 31(5), pages 397-408, October.
    3. Jie Wu & Yafei Yu & Qingyuan Zhu & Qingxian An & Liang Liang, 2018. "Closest target for the orientation-free context-dependent DEA under variable returns to scale," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1819-1833, November.
    4. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    5. Sickles,Robin C. & Zelenyuk,Valentin, 2019. "Measurement of Productivity and Efficiency," Cambridge Books, Cambridge University Press, number 9781107036161, January.
    6. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    7. Morita, Hiroshi & Hirokawa, Koichiro & Zhu, Joe, 2005. "A slack-based measure of efficiency in context-dependent data envelopment analysis," Omega, Elsevier, vol. 33(4), pages 357-362, August.
    8. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    9. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    10. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    11. Jin-Li Hu & Tzu-Pu Chang, 2016. "Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 45-69, Springer.
    12. Toshiyuki Sueyoshi & Mika Goto, 2020. "Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness," Energies, MDPI, vol. 13(2), pages 1-24, January.
    13. Ouellette, Pierre & Vierstraete, Valerie, 2004. "Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector," European Journal of Operational Research, Elsevier, vol. 154(3), pages 755-763, May.
    14. Ruizhi Pang & Xuejie Bai & Knox Lovell (ed.), 2018. "Energy, Environment and Transitional Green Growth in China," Springer Books, Springer, number 978-981-10-7919-1, December.
    15. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
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    Cited by:

    1. Jin-Li Hu, 2022. "Green Energy Economies Are Continually On-Going," Energies, MDPI, vol. 15(13), pages 1-3, June.

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