Total-factor energy efficiency and its extensions: Introduction, computation and application

Jin-Li Hu; Tzu Pu Chang

doi:10.1007/978-1-4899-7684-0_3

Total-factor energy efficiency and its extensions: Introduction, computation and application

Jin-Li Hu^*
, Tzu Pu Chang

^*Corresponding author for this work

Institute of Business and Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

22 Scopus citations

Abstract

This chapter demonstrates how to use different types of DEA models to compute the total-factor energy efficiency (TFEE) scores, including CCR, Russell, QFI, SBM, DF, and DDF models. The TFEE is a disaggregate input efficiency index. Moreover, the TFEE framework which uses cross-section data can be extended to the total-factor energy productivity (TFEP) growth index by following Malmquist, Leunberger, and Malmquist-Leunberger models which use panel data. Finally, the regional data of Chinese regions during 2010-2011 with inputs and desirable as well as undesirable outputs are used for illustrating the computation of TFEE and TFEP scores.

Original language	English
Title of host publication	International Series in Operations Research and Management Science
Publisher	Springer New York LLC
Pages	45-69
Number of pages	25
DOIs	https://doi.org/10.1007/978-1-4899-7684-0_3
State	Published - 1 Jan 2016

Publication series

Name	International Series in Operations Research and Management Science
Volume	238
ISSN (Print)	0884-8289

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fixed inputs
Input efficiency
Leunberger productivity index
Malmquist productivity index
Output efficiency
Radial adjustment
Slack-based measure (SBM)

Access to Document

10.1007/978-1-4899-7684-0_3

Cite this

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abstract = "This chapter demonstrates how to use different types of DEA models to compute the total-factor energy efficiency (TFEE) scores, including CCR, Russell, QFI, SBM, DF, and DDF models. The TFEE is a disaggregate input efficiency index. Moreover, the TFEE framework which uses cross-section data can be extended to the total-factor energy productivity (TFEP) growth index by following Malmquist, Leunberger, and Malmquist-Leunberger models which use panel data. Finally, the regional data of Chinese regions during 2010-2011 with inputs and desirable as well as undesirable outputs are used for illustrating the computation of TFEE and TFEP scores.",

keywords = "Fixed inputs, Input efficiency, Leunberger productivity index, Malmquist productivity index, Output efficiency, Radial adjustment, Slack-based measure (SBM)",

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Total-factor energy efficiency and its extensions: Introduction, computation and application. / Hu, Jin-Li; Chang, Tzu Pu.
International Series in Operations Research and Management Science. Springer New York LLC, 2016. p. 45-69 (International Series in Operations Research and Management Science; Vol. 238).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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KW - Input efficiency

KW - Leunberger productivity index

KW - Malmquist productivity index

KW - Output efficiency

KW - Radial adjustment

KW - Slack-based measure (SBM)

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Total-factor energy efficiency and its extensions: Introduction, computation and application

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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