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http://dx.doi.org/10.5392/JKCA.2011.11.1.317

Efficiency Analysis for Korean Trucking Companies based on the Data Envelopment Ananlysis(DEA)  

Choi, Jong-Yeol (부산대학교 경영대학)
Park, Je-Hun (부산대학교 경영학과 대학원)
Publication Information
The Journal of the Korea Contents Association / v.11, no.1, 2011 , pp. 317-328 More about this Journal
Abstract
Logistic system and methods of the transportation have been changed rapidly by the variety of the logistics environment. It is necessary to analyze the efficiency of Korean trucking companies for enhancing the competitive power and operating. This paper will describe the analysis of the efficiency of the trucking companies with DEA models. By the CCR and the BCC models, which are in parts of DEA model, the efficiency and RTS(Return To Scale) of forty two selected trucking companies were studied. It was also analyzed how the study the input-output variables were effected. And then, some of the forty two trucking companies were shown as the benchmark. As the result of analysis on the two models, seven companies won the score '1' on CCR model and seventeen companies on BCC model. Moreover, this study showed that reducing the total asset out of input variables, and raising the sales profit out of the output variables played a main role to increase the efficiency of the trucking companies highly.
Keywords
DEA; Trucking Company; Efficiency;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 문승, “DEA를 이용한 세계자동차 주요기업의 효율성 분석,” 인하대학교 산업경제연구소 경상논집, 제17권, 제2호, pp.1-28, 2003.
2 이형석, 김기석, “DEA모형을 이용한 우리나라 해운업체의 정태적, 동태적 효율성 분석”, 대한경영학회지, 제19권, 제4호, pp.1197-1217, 2006.
3 김종기, 강다연, “국내 해운물류 기업의 경영효율성 분석”, Entrue Journal of Information Technology, Vol.7, No.2, pp.141-150, 2008.
4 Martin, J. C. and C. Roman, "An Application of DEA to Measure the Efficiency of Spanish Airports Prior to Privatiztion," Journal of Air Transport Management, Vol.7, Issue.3, pp.149-157, 2001.   DOI   ScienceOn
5 www.kisvalue.com
6 R. D. Banker and R. C. Morey, "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, Vol.32, No.12, pp.1613-1627, 1986.   DOI   ScienceOn
7 C. Cornwell, P. Schmidt, and R. C. Sickle, "Production Frontiers with Cross-Sectional and Time-Series Variation in Efficiency Levels," Journal of Econometrics, Vol.46, Issue.1-2, pp.185-200, 1990.   DOI   ScienceOn
8 A. N. Berger, "Distribution Free' Estimates of Efficiency in the U. S. Banking Industry and Tests of the Standard Distributional Assumptions," Finance and Economics Discussion Series No.188, Board of Governor of the Federal Reserve System, 1992.
9 W. W. Cooper, L. M. Seiford, E. Thanassoulis, and S. H. Zanakis, “DEA and Its Use in Different countries," European Journal of Operational Research, Vol.154, Issue.2, pp.337-344, 2004.   DOI   ScienceOn
10 A. Charnes, W. W. Cooper, and E. Rhodes, "Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, Vol.2, Issue.6, pp.429-444, 1978.   DOI   ScienceOn
11 R. D. Banker, H. Chang and W. W. Cooper, "Simulation Studies of Efficiency, Returns to Scale and Misspecification with Nonlinear Functions in DEA," Annals of Operations Research, Vol.66, No.4, pp.233-253, 1996.
12 R. D. Banker, W. W. Cooper, L. M. Seiford, J. Zhu, "Returns to Scale in DEA," International Series in Operations Reserch and Management Science, Vol.71, No.6, pp.41-74, 2004.   DOI
13 P. Anderson and N. C. Petersen, "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, Vol.39. Issue.10, pp.1261-1264, 1993.   DOI   ScienceOn
14 한국교통연구원, 국가물류비 산정 및 추이분석, 2005.
15 권오경, 곽수환, “화물자동차 수배송 활동의 운행효율성 분석”, 로지스틱연구, 제8권, 제1호, pp.5-22, 2000.
16 민승기, “구역화물운송업과 노선화물운송업의 효율성 특징 비교”, 로지스틱연구, 제7권, 제2호, pp.5-25, 1999.
17 P. Schmidt and R. C. Sickles, "Production Frontiers and Penel Data," Journal of Business & Economic Statistics, Vol.2, No.4, pp.367-374, 1984.   DOI
18 이형석, 김기석, “DEA모형을 이용한 한국 철강산업의 효율성 분석”, 한국콘텐츠학회논문지, 제7권, 제6호, pp.195-205, 2007.   과학기술학회마을   DOI
19 J. M. Wagner and D. Shimshak, "Stepwise Selection of Variables in Data Envelopment Analysis: Procedures and Managerial Perspective," European Journal of Operational Research, Vol.180, Issue.1, pp.57-67, 2007.   DOI   ScienceOn