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Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/49321
DC FieldValueLanguage
dc.contributor.advisor黃仁德zh_TW
dc.contributor.advisorHwang, Jen Teen_US
dc.contributor.author賴淑容zh_TW
dc.contributor.authorLai, Shu Jungen_US
dc.creator賴淑容zh_TW
dc.creatorLai, Shu Jungen_US
dc.date2009en_US
dc.date.accessioned2010-12-07T18:05:17Z-
dc.date.available2010-12-07T18:05:17Z-
dc.date.issued2010-12-07T18:05:17Z-
dc.identifierG0097925013en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/49321-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description亞太研究英語碩士學位學程(IMAS)zh_TW
dc.description97925013zh_TW
dc.description98zh_TW
dc.description.abstractThis study adopt input orientation data envelopment Analysis approaches to evaluate the operational efficiency for major international airports in terms of the top 20 ranking by total passengers handling in Asia region in 2008. Unlike the most the other airport literature researches only using the one-stage DEA to measure the efficiency, in this study, two-stage, the extension of DEA, adding the concept of the intermediates product, separate the airport operation into airport capital side and airport capability side, is applied to evaluate the two-side efficiency of each airport under the assumption of constant returns to scale, variable returns to scale, scale efficiency and super efficiency model by employing four inputs, four intermediate products and two outputs.\r\nThe result of this study shows that the China Shenzhen Baoan airport is the best airport in overall technical efficiency in different stages. It indicates that the operation of small size airports (category by the passengers handling) are run more efficiency than the large one. In addition, by two-stage DEA analysis, the airport capital usage is better than in capacity utilization. It found that the China Beijing Capital airport is good in airport infrastructure usage but the capacity utilization is not enough. Finally, the number of increasing return scale airports are more than the decreasing return scale airports among Asia region (e.g. Taiwan Taoyuan airport), therefore, the expansions of facility and capacity in those increasing return scale airports are worthy to invest to promote the operational efficiency and its competitiveness.en_US
dc.description.tableofcontents1. Introduction...1\r\n1.1 Motivation.....1\r\n1.2 Purpose........2\r\n1.3 Objective and Framework......4\r\n2. Literature Review............6\r\n2.1 Airport Efficiency Measurement Using DEA.......6\r\n2.2 The Two-stage DEA Studies........10 \r\n3. Empirical Methods................11\r\n3.1 The Basic DEA Models.............11\r\n3.2 Two-stage DEA for Airport........15\r\n4. Empirical Process and Results....18\r\n4.1 Data Explanation.................19\r\n4.2 Empirical Results................25\r\n4.2.1 One-stage Overall Performance Analysis.....25\r\n4.2.2 Ranking of Efficiency Score by One-stage...26\r\n4.2.3 Two-stage Overall Peformance Analysis......29\r\n4.2.4 Ranking of Efficiency Score by Two-stage...31\r\n4.2.5 Scale Efficiency Comparison......35\r\n5. Conclusion.......................39\r\nReference................................40\r\nAppendix.................................43 \r\nTable 1: Summary of DEA Research on Airport Efficiency...9\r\nTable 2: The Growth of Airports in Worldwide — 2008.....18\r\nTable 3: Top 20 of Busiest Asia Airports — Total Passengers ----19\r\nTable 4: Variables of One-Stage DEA....21\r\nTable 5: Variables of Two-Stage DEA....21\r\nTable 6: Pearson Correlation Between Input and Output — One Stage.....22\r\nTable 7: Pearson correlation Between Input and Output — Capital Side..22\r\nTable 8: Pearson Correlation Between Input and Output — Capacity Side..22\r\nTable 9: Descriptive Statistic of Empirical Variables...24\r\nTable 10: Ranking of CCR Overall Efficiency....25\r\nTable 11: Comparison of Ranking by One Stage...26\r\nTable 12: Efficiency Score of PTE and SE by One Stage...27\r\nTable 13: Ranking of CCR Overall Efficiency by Capital..29\r\nTable 14: Ranking of CCR Overall Efficiency by Capacity.30\r\nTable 15: Ranking Comparison Between One Stage and Two Stage ...31\r\nTable 16: Average Score of Technical Efficiency...34\r\nTable 17: Efficiency Score of PTE and SE by Two Stage...36\r\nTable 18: Score of Scale Efficiency....37\r\nTable 19: Efficiency Evaluation by CCR/BCC/SE Models...37\r\nFigure 1: Intermediate Concept of Inner Operation......15\r\nFigure 2: Network Process..............................16\r\nFigure 3: Two-Stage Process............................17\r\nFigure 4: Two-Stage of Airport Inner Operation.........20\r\nFigure 5: Efficiency Score of PTE and SE in Different Airports........28\r\nFigure 6: Overall Efficiency of Different Stage...32\r\nFigure 7: Proportion of Efficiency Score is Equal to 1...38zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0097925013en_US
dc.subject機場資產zh_TW
dc.subject機場能量zh_TW
dc.subject效率zh_TW
dc.subject二階段DEAzh_TW
dc.subjectAirport Capitalen_US
dc.subjectAirport Capacityen_US
dc.subjectEfficiencyen_US
dc.subjectTwo-Stage DEAen_US
dc.title亞洲主要機場的績效比較研究-資料包絡法的分析zh_TW
dc.titleEfficiency evaluation of major airports in Asia-data envelopment analysisen_US
dc.typethesisen
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