Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines

While several studies have utilized carbon emissions to analyze airline performance, to the best of our knowledge, there have been limited studies simultaneously examining airline capacity utilization, energy consumption, and carbon emissions. The sample of this study comprises 33 global airlines in...

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Main Authors: See K.F., Rashid A.A., Yu M.-M.
Other Authors: 53464206000
Format: Article
Published: Elsevier B.V. 2025
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spelling my.uniten.dspace-366082025-03-03T15:43:22Z Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines See K.F. Rashid A.A. Yu M.-M. 53464206000 36968755400 7404273246 Air transportation Carbon Energy utilization Capacity utilization Carbon emissions Data envelopment analysis models Energy Energy-consumption Network Capacity Network data Network data envelopment analyse Nonconvex Performance airline industry carbon emission data envelopment analysis energy use environmental impact Data envelopment analysis While several studies have utilized carbon emissions to analyze airline performance, to the best of our knowledge, there have been limited studies simultaneously examining airline capacity utilization, energy consumption, and carbon emissions. The sample of this study comprises 33 global airlines in 2018. Our proposed model extends the two-stage network data envelopment analysis (DEA) model by adding a capacity utilization metric in a nonconvex metafrontier framework. The results show that there is no difference in performance between alliance and nonalliance airline groups in terms of environmental and network capacity efficiencies. Two-thirds of the selected airlines operate inefficiently in terms of environmental efficiency, while 15 selected airlines experience inefficiencies in network capacity utilization. To reach the technology frontier, these airlines are required to scale their variable inputs to enhance their capacity outputs and mitigate carbon emissions. The results can serve as a guide for industry players and regulators to detect inefficiencies in the overall potential maximum capacity and production technology constraints that affect energy consumption and carbon emissions. ? 2024 Elsevier B.V. Final 2025-03-03T07:43:22Z 2025-03-03T07:43:22Z 2024 Article 10.1016/j.eneco.2024.107374 2-s2.0-85187790509 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187790509&doi=10.1016%2fj.eneco.2024.107374&partnerID=40&md5=85351b727ffd32fd06b5ee7b635e7374 https://irepository.uniten.edu.my/handle/123456789/36608 132 107374 Elsevier B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Air transportation
Carbon
Energy utilization
Capacity utilization
Carbon emissions
Data envelopment analysis models
Energy
Energy-consumption
Network Capacity
Network data
Network data envelopment analyse
Nonconvex
Performance
airline industry
carbon emission
data envelopment analysis
energy use
environmental impact
Data envelopment analysis
spellingShingle Air transportation
Carbon
Energy utilization
Capacity utilization
Carbon emissions
Data envelopment analysis models
Energy
Energy-consumption
Network Capacity
Network data
Network data envelopment analyse
Nonconvex
Performance
airline industry
carbon emission
data envelopment analysis
energy use
environmental impact
Data envelopment analysis
See K.F.
Rashid A.A.
Yu M.-M.
Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
description While several studies have utilized carbon emissions to analyze airline performance, to the best of our knowledge, there have been limited studies simultaneously examining airline capacity utilization, energy consumption, and carbon emissions. The sample of this study comprises 33 global airlines in 2018. Our proposed model extends the two-stage network data envelopment analysis (DEA) model by adding a capacity utilization metric in a nonconvex metafrontier framework. The results show that there is no difference in performance between alliance and nonalliance airline groups in terms of environmental and network capacity efficiencies. Two-thirds of the selected airlines operate inefficiently in terms of environmental efficiency, while 15 selected airlines experience inefficiencies in network capacity utilization. To reach the technology frontier, these airlines are required to scale their variable inputs to enhance their capacity outputs and mitigate carbon emissions. The results can serve as a guide for industry players and regulators to detect inefficiencies in the overall potential maximum capacity and production technology constraints that affect energy consumption and carbon emissions. ? 2024 Elsevier B.V.
author2 53464206000
author_facet 53464206000
See K.F.
Rashid A.A.
Yu M.-M.
format Article
author See K.F.
Rashid A.A.
Yu M.-M.
author_sort See K.F.
title Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
title_short Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
title_full Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
title_fullStr Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
title_full_unstemmed Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
title_sort measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines
publisher Elsevier B.V.
publishDate 2025
_version_ 1825816027991113728
score 13.244413