| dc.contributor.advisor | 黃仁德 | zh_TW |
| dc.contributor.advisor | Hwang, Jen Te | en_US |
| dc.contributor.author (Authors) | 賴淑容 | zh_TW |
| dc.contributor.author (Authors) | Lai, Shu Jung | en_US |
| dc.creator (作者) | 賴淑容 | zh_TW |
| dc.creator (作者) | Lai, Shu Jung | en_US |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 8-Dec-2010 02:05:17 (UTC+8) | - |
| dc.date.available | 8-Dec-2010 02:05:17 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-Dec-2010 02:05:17 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0097925013 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/49321 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 亞太研究英語碩士學位學程(IMAS) | zh_TW |
| dc.description (描述) | 97925013 | zh_TW |
| dc.description (描述) | 98 | zh_TW |
| dc.description.abstract (摘要) | This 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. The 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.tableofcontents | 1. Introduction...1 1.1 Motivation.....1 1.2 Purpose........2 1.3 Objective and Framework......4 2. Literature Review............6 2.1 Airport Efficiency Measurement Using DEA.......6 2.2 The Two-stage DEA Studies........10 3. Empirical Methods................11 3.1 The Basic DEA Models.............11 3.2 Two-stage DEA for Airport........15 4. Empirical Process and Results....18 4.1 Data Explanation.................19 4.2 Empirical Results................25 4.2.1 One-stage Overall Performance Analysis.....25 4.2.2 Ranking of Efficiency Score by One-stage...26 4.2.3 Two-stage Overall Peformance Analysis......29 4.2.4 Ranking of Efficiency Score by Two-stage...31 4.2.5 Scale Efficiency Comparison......35 5. Conclusion.......................39 Reference................................40 Appendix.................................43 Table 1: Summary of DEA Research on Airport Efficiency...9 Table 2: The Growth of Airports in Worldwide — 2008.....18 Table 3: Top 20 of Busiest Asia Airports — Total Passengers ----19 Table 4: Variables of One-Stage DEA....21 Table 5: Variables of Two-Stage DEA....21 Table 6: Pearson Correlation Between Input and Output — One Stage.....22 Table 7: Pearson correlation Between Input and Output — Capital Side..22 Table 8: Pearson Correlation Between Input and Output — Capacity Side..22 Table 9: Descriptive Statistic of Empirical Variables...24 Table 10: Ranking of CCR Overall Efficiency....25 Table 11: Comparison of Ranking by One Stage...26 Table 12: Efficiency Score of PTE and SE by One Stage...27 Table 13: Ranking of CCR Overall Efficiency by Capital..29 Table 14: Ranking of CCR Overall Efficiency by Capacity.30 Table 15: Ranking Comparison Between One Stage and Two Stage ...31 Table 16: Average Score of Technical Efficiency...34 Table 17: Efficiency Score of PTE and SE by Two Stage...36 Table 18: Score of Scale Efficiency....37 Table 19: Efficiency Evaluation by CCR/BCC/SE Models...37 Figure 1: Intermediate Concept of Inner Operation......15 Figure 2: Network Process..............................16 Figure 3: Two-Stage Process............................17 Figure 4: Two-Stage of Airport Inner Operation.........20 Figure 5: Efficiency Score of PTE and SE in Different Airports........28 Figure 6: Overall Efficiency of Different Stage...32 Figure 7: Proportion of Efficiency Score is Equal to 1...38 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0097925013 | en_US |
| dc.subject (關鍵詞) | 機場資產 | zh_TW |
| dc.subject (關鍵詞) | 機場能量 | zh_TW |
| dc.subject (關鍵詞) | 效率 | zh_TW |
| dc.subject (關鍵詞) | 二階段DEA | zh_TW |
| dc.subject (關鍵詞) | Airport Capital | en_US |
| dc.subject (關鍵詞) | Airport Capacity | en_US |
| dc.subject (關鍵詞) | Efficiency | en_US |
| dc.subject (關鍵詞) | Two-Stage DEA | en_US |
| dc.title (題名) | 亞洲主要機場的績效比較研究-資料包絡法的分析 | zh_TW |
| dc.title (題名) | Efficiency evaluation of major airports in Asia-data envelopment analysis | en_US |
| dc.type (資料類型) | thesis | en |
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