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An Empirical Comparative Study on the Clustering Measurement Using Fuzzy(Average Index Transformation) DEA and Cross-efficiency Models  

Park, Ro-Kyung (조선대학교 경상대학 무역학과)
Publication Information
Journal of Korea Port Economic Association / v.31, no.1, 2015 , pp. 85-110 More about this Journal
Abstract
The purpose of this paper is to show the clustering trend and the empirical comparison and to choose the clustering ports for 3 Korean ports(Busan, Incheon and Gwangyang Ports) by using the Fuzzy(Average Index Transformation) DEA and Cross-efficiency models for 38 Asian ports during 11 years(2001-2011) with 4 input variables(birth length, depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results of this paper are as follows. First, clustering results by using Fuzzy(AIT)DEA show that 3 Korean ports[Busan(56.29%), Incheon(57.96%), and Gwangyang(66.80%) each]can increase the efficiency. Second, according to Cross-efficiency model, Busan(Hongkong, Kobe, Manila, Singapore, and Kaosiung etc.), Incheon(Aquaba, Dammam, Karachi, Mohammad Byin Oasim and Davao), and Gwangyang(Damman, Yokohama, Nogoya, Keelong, Kaosiung, and Bangkok) should be clustered with those ports in parentheses. Third, when both Fuzzy(AIT)DEA and Cross-efficiency models are mixed, the empirical result shows that 3 Korean ports[Busan(71.38%), Incheon(103.89%), and Gwangyang(168.55%) each]can increase the efficiency. The efficiency ranking comparison among the three models by using Wilcoxon Signed-rank Test was matched with the average level of 66%-67%. The policy implication of this paper is that Korean port policy planner should introduce the Fuzzy(AIT)DEA, and Cross-efficiency models with the mixed two models when clustering is needed among the Asian ports for enhancing the efficiency of inputs and outputs. Also, the results of SWOT analysis among the clustering ports should be considered.
Keywords
Asian Container Ports Clustering; Fuzzy(Average Index Transformation Model); Cross-efficiency Model; DEA;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 김경구(2003), "교차 평가모형을 이용한 컨테이너 터미널의 효율성 평가모형에 관한 연구", 부산외국어대학교 대학원 석사학위논문
2 김재희(2009), "교차효율분석을 활용한 원양어업의 업종별 경쟁력 추정", 해양정책연구, 제24권 제1호, 한국해양수산개발원, 57-76.
3 김충영(2012), "퍼지자료 포괄분석 문헌 고찰 및 분류: 연구해 온 20년, ReSEAT 분석 리포트", 한국과학기술정보연구원, 1-7.
4 Lertworasirikul, S., S.C. Fang, J.A. Joines, and H.L.W. Nuttle(2003), "Fuzzy Data Envelopment Analsyis (DEA): A Possibility Approach," Fuzzy Sets and Systems, 139, 379-394.   DOI
5 Po, R.W., Guh, Y.Y., and Yang, M.S.(2009), "A New Clustering Approach Using Data Envelopment Analysis," European Journal of Operational Research, 199, 276-284.   DOI
6 Sarkis, J., and Talluri, S.(2004), "Performance Based Clustering for Benchmarking of US Airports," Transportation Research Part A, 38, 329-346.   DOI
7 Satti, S. et al.(2013), "A Fuzzy Data Envelopment Analysis for Clustering Operating Units with Imprecise Data," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21(1), 29-54.   DOI
8 Sexton, T.R., R.H. Silkman, and A.J. Hogan(1986), "Data Envelopment Analysis: Critique and Extentions," in Silkman, R.H. (Ed.), Measuring Efficiency: An Assessment of Data Envelopment Analysis, Jossey-Bass, San Francisco, 73-105.
9 Sharma, M.J., and S.J. Yu(2009), "Performance Based Stratifi- cation and Clustering for Benchmarking of Container Terminals," Expert Systems with Applications, 36, 5016-5022.   DOI
10 Sirvent, I. and T. Leon(2014), "Cross-Efficiency in Fuzzy Data Envelopment Analysis(FDEA): Some Proposals, " in Emrouznejad, A. and Tavana, M. (Ed.), Performance Measurement with Fuzzy Data Envelopment Analysis, Springer, Berlin, 101-116.
11 Wu, Y.C.J., and Goh, M.(2010), "Container Port Efficiency in Emerging and More Advanced Markets," Transportation Research Part E, 46, 1030-1042.   DOI
12 박노경(2013), "교차효율성 모형을 이용한 컨테이너항만의 효율성 측정방법", 무역연구, 제9권 제4호, 279-294.
13 박노경(2010), "퍼지DEA에 의한 항만의 효율성 및 순위 측정방법: 평균지수변환모형 접근", 한국항만경제학회지, 제26권 제2호, 82-98.
14 박노경(2015), "퍼지(평균지수변환)DEA모형과 교차효율성 모형을 이용한 클러스터링측정에 대한 실증적 비교연구", 2015년도 경제학 공동학술대회 한국항만경제학회 발표논문집, 23-63.
15 박노경(2012), "컨텍스트의존 모형 및 측정특유 모형을 이용한 아시아 항만들의 클러스터링 측정 및 추세분석에 관한 실증적 연구", 한국항만경제학회지, 제28권 제1호, 53-82.
16 박노경(2013), "컨테이너항만의 클러스터링 측정방법 소고: DEA참조집단모형과 교차효율성 모형을 이용", 무역연구, 제9권 제7호, 439-456.
17 박노경(2003), "컨테이너 항만선택을 위한 선호도 측정방법: 컨텍스트 의존모형 접근", 해운물류연구, 제38호, 87-112.
18 박진칠(2010), "교차효율성 기법을 이용한 단위부대의 효율성 측정과 순위결정", 고려대학교 대학원 석사학위논문.
19 방희석.김새로나(2004), "동북아물류거점의 Cluster접근방안", 무역학회지, 제29권, 제3호, 151-170.
20 여기태(2009), "퍼지클러스터링에 의한 중국항만 분류에 관한 연구", 해운물류연구, 제63호, 865-887.
21 윤송봉(2013), "부산항과 상해항의 항만물류서비스에 대한 고객만족도 비교연구", 중앙대학교 대학원 박사학위 논문
22 이재설.고현우(2009), "교차효율분석을 응용한 우편집중국의 운영효율성 분석", 한국경영공학회지, 제14권 제1호, 159-168.
23 임성묵(2008), "퍼지 선형계획법 해법 및 퍼지 DEA에의 적용에 관한 연구", 한국산업시스템공학회지, 제31권 제2호, 51-60.
24 임성묵(2008), "DEA에서 교차효율성의 공격적 정형화", 한국경영과학회지, 제33권 제4호, 83-100.
25 한철환(2003), "우리나라 항만클러스터 구축방안에 관한 연구", 한국항만경제학회지, 제19집 제1호, 1-22.
26 Zhang, W., and Lam, J.S.L.(2013), "Maritime Cluster Evolution based on Symbiosis Theory and LotkaVolterra Model, Maritime Policy & Management, 40(2), 161-174.   DOI
27 Wu, J., Liang, L. and Song, M.(2010), "Performance Based Clustering for Benchmarking of Container Ports: An Application of DEA and Cluster Analysis Technique," International Journal of Computational Intelligence Systems, 3(6), 709-722.   DOI
28 Wu, J., Liang, L., Wu, D. and Yang, F.(2000), "Olympics Ranking and Benchmarking Based on Cross Efficiency Evaluation Method and Cluster Analysis: The Case of Sydney 2000," International Journal of Enterprise Network Management, 2(4), 377-392.   DOI
29 Wu, J., Liang, L. and Yang, F.(2009), "Achievement and Benchmarking of Countries at the Summer Olympics Using Cross Efficiency Evaluation Method," European Journal of Operational Research, 197, 722-730.   DOI
30 Adler, N., Friedman, L. and Sinuany-Stern, Z.(2002), "Review of Ranking Methods in the Data Envelopment Analysis Context, European Journal of Operational Research, 140, 249-265.   DOI
31 Alcaraz, J., N. Ramon, J.L. Ruiz, and I. Sirvent (2013), "Ranking Ranges in Cross-efficiency Evaluation, European Journal of Operational Research, 226, 516-521.   DOI
32 Andersen, P. and Petersen, N.C.(1993), "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Sciences, 39, 1993, 1261-1264.   DOI
33 Banker, R.D., A. Charnes and W.W. Cooper(1984), "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Sciences, 30, 1078-1092.   DOI
34 Charnes, A., W.W. Cooper and E. Rhodes(1978), "Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, 2, 429-444.   DOI
35 Campos, L.M., and A., Gonzalez(1989), "A Subjective Approach for Ranking Fuzzy Numbers," Fuzzy Sets and Systems, 29, 145-153.   DOI
36 Chen, Y.C. et al.(2013), "The Analysis of Bank Business Performance and Market Risk-Applying Fuzzy DEA," Economic Modelling, 32, 225-232.   DOI
37 Doyle, J.R., and R.H. Green(1994), "Efficiency and Cross-efficiency in DEA: Derivations, Meanings, and Uses," Journal of Operational Research Society, 45(5), 567-578.   DOI
38 Global Maritime Logistics Council(2009), Seaport Cluster Research Programme 2007-2011, 1-31. http://www.globeinst.org/portcluster
39 Guo, P. and H. Tanaka(2001), "Fuzzy DEA: A Perceptual Evaluation Method," Fuzzy Sets and Systems, 119, 149-160.   DOI