Airline Carbon Emission Efficiency Study: Static and Dynamic Perspectives
航空会社の炭素排出効率に関する研究：静的および動的観点 (AI 翻訳)
Lianbin Zhou, Zhifeng Zhou, P. Zhang, Lidan Li
🤖 gxceed AI 要約
日本語
2015～2021年の世界18航空会社の炭素排出効率を、2段階スーパー効率SBMモデルとHicks-Moorsteen生産性指数で分析。平均静的効率は0.225～0.662、業界平均0.44。動的生産性はCOVID-19で急落後、エミレーツやシンガポール航空が回復。技術進歩の不足が効率低下の主因であり、非効率企業が追いつく収束傾向も確認。
English
This study analyzes static and dynamic carbon emission efficiency of 18 global airlines (2015–2021) using a two-stage super-efficient SBM model and Hicks–Moorsteen productivity index. Average static efficiency ranges from 0.225 to 0.662 (industry avg. 0.44). Dynamic productivity dropped sharply in 2020 due to COVID-19 but recovered significantly for Emirates and Singapore Airlines. Technological stagnation drives efficiency declines, while absolute β-convergence shows catch-up by inefficient airlines.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の航空会社（ANA、JAL）も含まれるが、サンプルはグローバル。航空業界の脱炭素に向けた効率性ベンチマークとして参考になり、日本の航空政策やSSBJスコープ3対応への示唆となる。
In the global GX context
Provides empirical benchmarks for airline carbon efficiency using advanced DEA methods. Relevant for global aviation decarbonization, ISSB-aligned disclosure on emission intensity, and transition finance targeting sustainable aviation fuels and fleet renewal.
👥 読者別の含意
🔬研究者:Offers a rigorous two-stage efficiency framework applicable to carbon-intensive sectors, with convergence analysis useful for productivity studies.
🏢実務担当者:Airlines can benchmark their carbon efficiency against peers and identify operational vs. technological improvement areas.
🏛政策担当者:Highlights the role of technological progress in aviation decarbonization, supporting targeted R&D and efficiency standards.
📄 Abstract（原文）
Amid the rapid growth of the aviation sector, carbon reduction presents a significant challenge for airlines. This study investigates the structural characteristics and dynamic evolution of carbon emission efficiency among 18 global airlines from 2015 to 2021 using a two-stage super-efficient slack-based measure model (SBM) and an SBM-based Hicks–Moorsteen productivity index, incorporating absolute β-convergence tests. Key findings include the following: (1) The overall mean static efficiency of the airlines ranged from 0.225 (American Airlines) to 0.662 (Singapore Airlines), with an industry-wide average of 0.44. (2) Dynamic productivity change also exhibited significant variation: the overall mean superefficient SBM-based Hicks–Moorsteen (HM) productivity index was 0.962, but it dropped sharply to 0.526 in 2019–2020 due to the COVID-19 pandemic. After 2020, several airlines demonstrated significant recovery, with Emirates and Singapore Airlines achieving dynamic productivity change indices above 1.5. (3) In 16 out of 18 airlines, operational efficiency exceeded production efficiency, highlighting the importance of technological improvements in production. (4) Limited technological progress was identified as the main factor behind efficiency declines, while absolute β-convergence indicated that inefficient airlines are gradually catching up with efficient peers. These findings provide insights for airlines and policymakers in designing targeted carbon reduction strategies and promoting sustainable aviation development. The empirical scope of this study is limited to 18 major global airlines over the period 2015–2021. Due to data availability constraints, the sample does not fully cover all regions or low-cost carriers. The Hicks–Moorsteen index and its EC/TC components are used for interpretative and heuristic purposes only and should not be understood as a strict mathematical decomposition within the two-stage network SBM framework.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.mdpi.com/2297-8747/31/3/74/pdf?version=1777885203first seen 2026-07-24 06:56:13
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