题名

應用資料包絡分析法評估兩岸三地國際貨櫃港經營績效之研究

并列篇名

APPLYING DEA TO EVALUATE THE PERFORMANCE OFINTERNATIONAL CONTAINER PORTS ACROSS THE TAIWANSTRAIT

DOI

10.6402/TPJ.201109.0002

作者

趙時樑(Shih-Liang Chao);張貞德(Jen-Der Chang)

关键词

港口效率 ; 資料包絡分析法 ; 保證區域模式 ; Malmquist 生產力指數 ; Port efficiency ; Data envelopment analysis (DEA) ; Assuranceregion (AR) ; Malmquist productivity index

期刊名称

運輸計劃季刊

卷期/出版年月

40卷3期(2011 / 09 / 30)

页次

233 - 260

内容语文

繁體中文

中文摘要

由於中國經濟的迅速崛起,直接帶動了中國港口貨櫃量的大幅成長,亦透過兩岸三地特殊的貿易與分工模式造成了香港與臺灣港口貨櫃量的變化。本研究旨在利用資料包絡分析法分析兩岸三地國際貨櫃港口經營績效,作為研擬港口策略與調整資源配置之參考。本研究選取2008年貨櫃裝卸量超過百萬TEU 之兩岸三地16大國際貨櫃港為受評單位(decision making unit, DMU),以六項投入變數(貨櫃船席數、貨櫃船席長度、貨櫃碼頭面積、貨櫃碼頭儲區容量、橋式起重機數與冷凍櫃插座數)與一項產出變數(貨櫃裝卸量)作為效率衡量指標,應用資料包絡分析法之CCR與BCC模式分析其生產、規模與技術效率,並採用保證區域(assurance region, AR)模式來處理傳統CCR模式乘數變動過於自由的問題。此外,本研究利用Malmquist 生產力指數 (malmquist productivity index, MPI)分析各港之跨期經營效率。研究結果顯示,連雲港與寧波港之現況經營效率與兩期MPI值均領先其他港口,表示此二港口經營績效良好,可作為其他港口之參考。

英文摘要

The rapid growth of China's economy has not only caused a boom in its container ports, but also affects the container throughput of the ports across the Taiwan Strait through particular cooperative business models. This study aims to evaluate the performance of 16 international container ports across the Taiwan Strait and identify key factors for allocating operation resources of each port. For each decision making unit (DMU), six inputs (number of container berths, lengths of container berths, terminal areas, yard capacities, number of gantry cranes and number of reefer plugs) and one output (annual container throughput) are taken into account. CCR and BCC models, which are the basic models of data envelopment analysis (DEA) are used to measure the efficiency of each DMU. To deal with the problem of unlimited multipliers, the assurance region (AR) model is deployed to more precisely measure the efficiency of DMU.In addition, the Malmquist productivity index (MPI) is also calculated to identify the intertemporal efficiency of each DMU. The analytical results showthat Lianyungang and Ningbo are ahead of other DMUs in terms of current operation efficiency and MPI. Therefore, these two ports can be used as the benchmarks for other DMUs as they have been operated efficiently.

主题分类 工程學 > 交通運輸工程
社會科學 > 管理學
参考文献
  1. 林彬、游明敏、楊啟宏(2006)。應用DEA/AR模式評估港埠經營效率之研究─以基隆、臺中及高雄三港為例。運輸計劃季刊,35(4),391-413。
    連結:
  2. Al-Eraqi, A. S.,Mustaffa, A.,Khader, A. T.,Barros, C. P.(2008).Efficiency of Middle Eastern and East African Seaports: Application of DEA Using Window Analysis.European Journal of Scientific Research,23(4),597-612.
  3. Andersen, P.,Petersen, N. C.(1993).A Procedure for Ranking Efficient Units in Data Envelopment Analysis.Management Decision,39(10),1261-1264.
  4. Banker, R. D.,Charnes, A.,Cooper, W. W.(1984).Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.Management Science,30(9),1078-1092.
  5. Cave, D. W.,Christensen, L. R.,Diewert, W. E.(1982).Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers.The Economic Journal,92(365),73-86.
  6. Cave, D. W.,Christensen, L. R.,Diewert, W. E.(1982).The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity.Econometrica,50(6),1393-1414.
  7. Charnes, A.,Cooper, W. W.,Rhodes, E.(1978).Measuring the Efficiency of Decision Making Units.European of Operations Research,3(4),429-444.
  8. Cook, T. D.,Campbell, D. T.(1976).The Design and Conduct of Quasi-Equipments and True Experiments in Field Setting.Chicago:Rand McNally.
  9. Cooper, W. W.,Seiford, L. M.,Tone, K.(2000).Data Envelopment Analysis: A Comprehensive Text with Models, Applications, Reference and DEA-Solver Software.Boston:Kluwer Academic Publishers.
  10. Coto, P.,Banos, J.,Rodriguez, A.(2000).Economic Efficiency in Spanish Ports: Some Empirical Evidence.Maritime Policy and Management,27(2),169-174.
  11. Cullinane, K.,Song, D. W.,Gray, R.(2002).A Stochastic Frontier Model of the Efficiency of Major Container Terminals in Asia: Assessing the Influence of Administrative and Ownership Structures.Transportation Research, Part A,36(8),743-762.
  12. Estache, A.,Gonzalez, M.,Trujillo, L.(2001).World Bank Policy Research Working Paper 2637World Bank Policy Research Working Paper 2637,未出版
  13. Färe, R.,Grosskopf, S.,Lindgren, B.,Roos, P.(1992).Productivity Changes in Swedish Pharmacies 1980-1989: A Non-Parametiric Malmquist Approach.Journal of Productivity Analysis,3(1-2),85-101.
  14. Farrell, M. J.(1957).The Measurement of Productive Efficiency.Journal of Royal Statistical Society, Series A,120(3),253-281.
  15. Han, C. H.(2002).An Empirical Study on the Determinants of Port Performance and Efficiency.Proceedings of the Second International Port Forum and Conference for the 20th Anniversary of Korean Association of Shipping Studies
  16. Itoh, H.(2002).Efficiency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis.Review of Urban & Regional Development Studies,14(2),133-152.
  17. Judd, C. M.,Smith, E. R.,Kidder, L. H.(1991).Research Methods in Social Relations.Austin, Texas:Holt, Rinehart and Winston.
  18. Lin, L. C.,Tseng, C. C.(2007).Operational Performance Evaluation of Major Container Port in the Asia-Pacific Region.Maritime Policy & Management,34(6),535-551.
  19. Liu, Z.(1995).The Comparative Performance of Public and Private Enterprises.Journal of Transport Economics and Policy,29(3),263-274.
  20. Lynch, J. G.(1982).On the External Validity of Experiments in Consumer Research.Journal of Consumer Research,9(3),225-239.
  21. Martinez-Budria, E.,Diaz, R.,Navarro, M.,Ravelo, T.(1999).A Study of Efficiency of Spanish Port Authorities Using Data Envelopment Analysis.International Journal of Transport Economics,16(2),237-253.
  22. Park, R. K.,De, P.(2004).An Alternative Approach to Efficiency Measurement of Seaports.Maritime Economics & Logistics,6(1),53-69.
  23. Roll, Y.,Hayuth, Y.(1993).Port Performance Comparison: Applying Data Envelopment Analysis.Maritime Policy and Management,20(2),153-161.
  24. Sexton, T. R.,Silkman, R. H.,Hogan, A. J.(1986).Data Envelopment Analysis: Critique and Extension-Measuring Efficiency: An Assessment of Data Envelopment Analysis.San Francisco:Jossey-Bass Press.
  25. Thompson, R. G.,Singleton, F. D.,Thrall, R. M., Jr.,Smith, B. A.(1986).Comparative Site Evaluation for Locating a High-Energy Physics Lab in Texas.Interfaces,16(6),35-49.
  26. Tongzon, J.(2001).Efficiency Measurement of Selected Australian and Other International Ports Using Data Envelopment Analysis.Transportation Research, Part A,35(2),107-122.
  27. Valentine, V. F.,Gray, R.(2001).The Measurement of Port Efficiency Using Data Envelopment Analysis.Proceedings of the 9th World Conference on Transport Research
  28. 周文欽(2000)。研究方法概論。臺北:國立空中大學。
  29. 周明道、李選士、林光(2004)。應用跨期遞迴資料包絡分析法評估兩岸三地貨櫃港埠生產效率。航運季刊,13(4),71-86。
  30. 高強、黃旭男、Sueyoshi, Toshiyuki(2003)。管理績效評估:資料包絡分析法。臺北:華泰書局。
  31. 陳巧蓁(2008)。國立臺灣海洋大學航運管理學系研究所。
  32. 黃俊英(2006)。企業研究方法。臺北:東華書局。
  33. 黃柏雄(2008)。國立臺灣海洋大學航運管理學系研究所。
被引用次数
  1. 劉仲矩、陳秀育(2017)。以Q方法探討訪客對橘色港口認知類型之研究。管理實務與理論研究,11(1),1-18。