Airline environmental efficiency measures through a non-convex meta-frontier DEA model

IF 3.2 4区 工程技术 Q3 ENERGY & FUELS
Ye Li, Jin-kun Zheng, Ya-nan Zhang
{"title":"Airline environmental efficiency measures through a non-convex meta-frontier DEA model","authors":"Ye Li,&nbsp;Jin-kun Zheng,&nbsp;Ya-nan Zhang","doi":"10.1007/s12053-024-10286-x","DOIUrl":null,"url":null,"abstract":"<div><p>To mitigate the impact of aviation on climate change, the International Civil Aviation Organization (ICAO) has committed to reducing carbon dioxide (CO₂) emissions from international aviation by 5% by 2030 and to achieving net-zero carbon emissions by 2050. It is therefore essential to assess the environmental efficiency of airlines to urge them to adjust their actions promptly to meet the desired strategic objectives. This paper focuses on assessing the environmental efficiency of airlines using a network structure and constructs a three-stage airline network structure. Then, a non-convex meta-frontier DEA model with unified natural disposability and managerial disposability is proposed to assess the overall efficiency of 85 airlines for 2018–2019, based on data from 85 airlines worldwide for 2018–2019. The new model not only automatically determines whether an airline's inputs are natural or managerial disposable, but also measures the environmental efficiency of each region, while optimizing overall efficiency. Firstly, Ryanair has the highest overall efficiency among the 85 airlines in 2018–2019, and this increased efficiency is closely related to its excellent performance in handling carbon dioxide emissions. Secondly, the airline efficiency rankings obtained from the non-convex meta-frontier model and the convex meta-frontier model proposed in this paper are largely in line with each other.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 8","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Efficiency","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s12053-024-10286-x","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

To mitigate the impact of aviation on climate change, the International Civil Aviation Organization (ICAO) has committed to reducing carbon dioxide (CO₂) emissions from international aviation by 5% by 2030 and to achieving net-zero carbon emissions by 2050. It is therefore essential to assess the environmental efficiency of airlines to urge them to adjust their actions promptly to meet the desired strategic objectives. This paper focuses on assessing the environmental efficiency of airlines using a network structure and constructs a three-stage airline network structure. Then, a non-convex meta-frontier DEA model with unified natural disposability and managerial disposability is proposed to assess the overall efficiency of 85 airlines for 2018–2019, based on data from 85 airlines worldwide for 2018–2019. The new model not only automatically determines whether an airline's inputs are natural or managerial disposable, but also measures the environmental efficiency of each region, while optimizing overall efficiency. Firstly, Ryanair has the highest overall efficiency among the 85 airlines in 2018–2019, and this increased efficiency is closely related to its excellent performance in handling carbon dioxide emissions. Secondly, the airline efficiency rankings obtained from the non-convex meta-frontier model and the convex meta-frontier model proposed in this paper are largely in line with each other.

Abstract Image

基于非凸元前沿DEA模型的航空公司环境效率测度
为了减轻航空对气候变化的影响,国际民用航空组织(ICAO)承诺到2030年将国际航空的二氧化碳排放量减少5%,到2050年实现净零碳排放。因此,有必要评估航空公司的环境效率,敦促他们迅速调整行动,以达到预期的战略目标。本文重点研究了航空公司网络结构的环境效率评价,构建了一个三级航空公司网络结构。然后,基于全球85家航空公司2018-2019年的数据,提出了统一自然可处置性和管理可处置性的非凸元前沿DEA模型,对85家航空公司2018-2019年的整体效率进行了评估。新模型不仅可以自动判断航空公司的投入是自然的还是管理上的一次性的,还可以衡量每个地区的环境效率,同时优化整体效率。首先,瑞安航空在2018-2019年是85家航空公司中整体效率最高的,而这种效率的提高与其在处理二氧化碳排放方面的出色表现密切相关。其次,本文提出的非凸元前沿模型和凸元前沿模型得到的航空公司效率排名在很大程度上是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Energy Efficiency
Energy Efficiency ENERGY & FUELS-ENERGY & FUELS
CiteScore
5.80
自引率
6.50%
发文量
59
审稿时长
>12 weeks
期刊介绍: The journal Energy Efficiency covers wide-ranging aspects of energy efficiency in the residential, tertiary, industrial and transport sectors. Coverage includes a number of different topics and disciplines including energy efficiency policies at local, regional, national and international levels; long term impact of energy efficiency; technologies to improve energy efficiency; consumer behavior and the dynamics of consumption; socio-economic impacts of energy efficiency measures; energy efficiency as a virtual utility; transportation issues; building issues; energy management systems and energy services; energy planning and risk assessment; energy efficiency in developing countries and economies in transition; non-energy benefits of energy efficiency and opportunities for policy integration; energy education and training, and emerging technologies. See Aims and Scope for more details.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信