LAPSE:2019.0488
Published Article
LAPSE:2019.0488
Measuring Efficiency of Generating Electric Processes
April 9, 2019
Electric energy sources are the foundation for supporting for the industrialization and modernization; however, the processes of electricity generation increase CO₂ emissions. This study integrates the Holt⁻Winters model in number cruncher statistical system (NCSS) to estimate the forecasting data and the undesirable model in data envelopment analysis (DEA) to calculate the efficiency of electricity production in 14 countries all over the world from past to future. The Holt⁻Winters model is utilized to estimate the future; then, the actual and forecasting data are applied into the undesirable model to compute the performance. From the principle of an undesirable model, the study determines the input and output factors as follows nonrenewable and renewable fuels (inputs), electricity generation (desirable output), and CO₂ emissions (undesirable output). The empirical results exhibit efficient/inefficient terms over the period from 2011⁻2021 while converting these fuels into electricity energy and CO₂ emissions. The efficiency reveals the environmental effect level from the electricity generation. The analysis scores recommend a direction for improving the inefficient terms via the principle of inputs and undesirable outputs excess and desirable outputs shortfalls in an undesirable model.
Keywords
data envelopment analysis (DEA), Holt–Winters model, productivity efficiency, undesirable model
Suggested Citation
Wang CN, Luu QC, Nguyen TKL. Measuring Efficiency of Generating Electric Processes. (2019). LAPSE:2019.0488
Author Affiliations
Wang CN: 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
Luu QC: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan [ORCID]
Nguyen TKL: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan [ORCID]
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Journal Name
Processes
Volume
7
Issue
1
Article Number
E6
Year
2018
Publication Date
2018-12-21
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7010006, Publication Type: Journal Article
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LAPSE:2019.0488
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doi:10.3390/pr7010006
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Apr 9, 2019
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CC BY 4.0
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Apr 9, 2019
 
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Apr 9, 2019
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Original Submitter
Calvin Tsay
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