A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects
The rapid development of the aviation industry has brought about the deterioration of the climate, which makes airline efficiency become a hot issue of social concern. As an important nonparametric method, Data Envelopment Analysis (DEA), has been widely applied in efficiency evaluation. This paper...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/2931734 |
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| _version_ | 1832550869967568896 |
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| author | Qiang Cui Li-Ting Yu |
| author_facet | Qiang Cui Li-Ting Yu |
| author_sort | Qiang Cui |
| collection | DOAJ |
| description | The rapid development of the aviation industry has brought about the deterioration of the climate, which makes airline efficiency become a hot issue of social concern. As an important nonparametric method, Data Envelopment Analysis (DEA), has been widely applied in efficiency evaluation. This paper examines 130 papers published in the period of 1993–2020 to summarize the literature involving the special application of DEA models in airline efficiency. The paper begins with an overall review of the existing literature, and then the radial DEA, nonradial DEA, network DEA, dynamic DEA, and DEA models with undesirable outputs applied in airline efficiency are introduced. The main advantages and disadvantages of the above models are summarized, and the drivers of airline efficiency are analyzed. Finally, the literature review ends up with future research directions and conclusions. |
| format | Article |
| id | doaj-art-deb0c7fbd171402a9d0fceed9e60517a |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-deb0c7fbd171402a9d0fceed9e60517a2025-02-03T06:05:45ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/29317342931734A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and ProspectsQiang Cui0Li-Ting Yu1School of Economics and Management, Southeast University, Nanjing 211189, ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, ChinaThe rapid development of the aviation industry has brought about the deterioration of the climate, which makes airline efficiency become a hot issue of social concern. As an important nonparametric method, Data Envelopment Analysis (DEA), has been widely applied in efficiency evaluation. This paper examines 130 papers published in the period of 1993–2020 to summarize the literature involving the special application of DEA models in airline efficiency. The paper begins with an overall review of the existing literature, and then the radial DEA, nonradial DEA, network DEA, dynamic DEA, and DEA models with undesirable outputs applied in airline efficiency are introduced. The main advantages and disadvantages of the above models are summarized, and the drivers of airline efficiency are analyzed. Finally, the literature review ends up with future research directions and conclusions.http://dx.doi.org/10.1155/2021/2931734 |
| spellingShingle | Qiang Cui Li-Ting Yu A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects Journal of Advanced Transportation |
| title | A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects |
| title_full | A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects |
| title_fullStr | A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects |
| title_full_unstemmed | A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects |
| title_short | A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects |
| title_sort | review of data envelopment analysis in airline efficiency state of the art and prospects |
| url | http://dx.doi.org/10.1155/2021/2931734 |
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