{"title":"Airline environmental efficiency measures through a non-convex meta-frontier DEA model","authors":"Ye Li, Jin-kun Zheng, 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.
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.