Traditional and Network DEA for Judgment of Relatively Ineffective Airports Based on Meta-analysis
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Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Shanghai 201804, China

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U8

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    Abstract:

    To analyze the difference between traditional and network data envelopment analysis (DEA) in judging whether the airport operation is relatively inefficient, this paper made literature selection and data extraction on DEA and airport operation efficiency by formulating literature standards. Publication bias of selected studies is conducted, and heterogeneity and overall effect of extracted data is tested based on meta-analysis. The results show that the selected research and data have statistical significance, and the ratio of the number of relatively ineffective airports to the number of relatively effective airports obtained by the traditional DEA method is 0.17 times that of the network DEA method. Using network DEA method to judge whether the airport operation is relatively inefficient is truer and more accurate than traditional DEA method.

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YUAN Jie, LI Yifan, ZHANG Jiake, LING Jianming. Traditional and Network DEA for Judgment of Relatively Ineffective Airports Based on Meta-analysis[J].同济大学学报(自然科学版),2021,49(9):1295~1300

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  • Received:December 15,2020
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  • Online: September 27,2021
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