DEA모형을 활용한 인증종합물류기업의 효율성 분석에 관한 연구

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Improving the efficiency of logistics companies and logistics industry has become the top priority to all decision-making units for the era of unlimited competition.
The purpose of this paper is to analyze the efficiency of certified integrated-logistics companies and it is to solve the problem of the inefficiency of individual logistics companies. This study also suggests that logistics market share expanding and strategy for strengthening the competitiveness of the logistics industry.
This paper analyzes the efficiency of 33 certified integrated-logistics Korean companies(CILKC) for 11 years from 2001 to 2011 by using DEA-CCR, DEA-BCC, and Malmquist models which come from DEA(Date Envelopment Analysis) model.
According to Charnes, Cooper, and Rhodes(1978), DEA is an empirical procedure to estimate the relative efficiency of a particular company over time. Generally, DEA is a mathematical programming theory that evaluates the relative efficiency of decision making units(DMUs) in an environment of multiples inputs and outputs. DEA offers an alternative to classical in extracting information from sample observation. DEA optimizes each individual observation with the objective of calculating a discrete piece-wise frontier determined by the set of pareto efficient decision making units. DEA analysis can involve multiple inputs as well as multiple outputs in its efficiency valuation. This makes DEA analysis more suitable for port efficiency measurement because ports produce a number of different outputs. Furthermore, DEA provides the user with information about the efficient and inefficient units, as well as the efficiency scores and reference sets for inefficient units(Cai Rui 2009).
To measure the efficiency, the selection of the input-output factors is based on a review of other previous studies with the frequency of use and importance. This paper used the numbers of employees, total assets, total liabilities, total equity as input factors and sales amounts, gross margin, operating profit, ordinary income, net profits as output factors.
The empirical results are as follows. First, it showed a high correlation between input-output factors. In particular, the numbers of employees as input factors showed a high correlation with total assets, total liabilities, and total equity. Furthermore sales amounts showed a higher correlation with gross margin, operating profit, and ordinary income.
Second, we use CCR, BCC models to evaluate the efficiency. The result shows that Dongjin, UCTC, Pantos, KMTC have average values of efficiency score 1 in CCR and Dongjin, UCTC, Glovis, Pantos, KMTC have average values of efficiency score 1 in BCC. Dongjin, KMTC, UCTC, Pantos, DTC, KUKBO, CKLINE, and KCTC whose average values of scale efficiency are 1.
This means that those are operated by the economies of scale and effective management, compared to the other CILKC. The inefficient DMUs can derive benchmarking strategies from the efficient logistics companies.
Third, the total factor productivity index is decomposed into the pure technical efficiency change, scale efficiency change, and pure technological change index to understand the reason of their productivity changes more specifically.
The Malmquist analysis shows that the average total factor productivity index(0.994) was decreased by about 6% from 2001 to 2011, because of the retrogression of technical change in the logistic industry due the global economic recession.
The policy suggestions are as follows to strengthen the competitiveness of the logistics industry. ① Scale expansion by revitalization of 3PL, ② achieving efficient logistics through mutual cooperation, ③ strengthening competitiveness of the logistics industry ④ comprehensive plan by government for logistics rationalization. The shippers and logistics companies are also required to adopt a paradigm shift from the cooperation modes of vertical integration among related firms to the strategic alliances based on the mutual trust and respect.
Alternative Title
A Study on the Efficiency Analysis of Certified Integrated-Logistics Company Using DEA Model
Alternative Author(s)
Kim, Seong Hwa
일반대학원 무역학과
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Table Of Contents

제1장 서론 1
제1절 연구의 배경 및 목적 1
제2절 연구의 방법 및 범위 3
제3절 선행연구 검토 및 본 연구와의 차별성 5
1. 주요 선행연구 검토 5
2. 선행연구와의 차별성 12

제2장 물류산업과 종합물류기업의 현황 13
제1절 국내외 물류산업의 현황 및 주요 동향 13
1. 국제 경제여건의 변화 13
2. 국내 물류산업 및 물류시장의 현황 14
제2절 종합물류기업의 현황 및 문제점 18
1. 종합물류기업의 현황 18
2. 종합물류기업 및 물류산업의 문제점 22
가. 화주기업의 낮은 3PL 활용 22
나. 물류기업의 경쟁력 부족 23
다. 비효율적 수송체계 24
라. 정부 지원제도의 미흡 25

제3장 효율성 분석방법 26
제1절 효율성 분석에 관한 이론적 접근 26
1. 효율성의 개념 26
2. 효율성 측정의 발전과정 28
3. 효율성 측정방법 31
가. 함수적 접근법 31
나. 비율분석법 32
다. 생산성지수법 32
제2절 DEA모형 33
1. DEA모형의 개요 33
2. DEA모형의 특징 34
2. DEA모형의 유형 35
가. CCR모형 35
나. BCC모형 41
다. 규모효율성 43
제3절 Malmquist 생산성지수 모형 45
1. Malmquist 생산성지수의 개요 45
2. Malmquist 생산성지수의 분해 46
가. 투입지향 MPI 46
나. 산출지향 MPI 50

제4장 인증종합물류기업의 효율성 분석결과 54
제1절 분석 DMU의 결정 및 변수의 선정 54
1. 표본선정 및 자료수집 56
2. 분석방법 및 변수선정 56
제2절 인증종합물류기업의 효율성 분석결과 58
1. DEA모형의 분석결과 60
2. Malmquist 생산성지수 모형의 분석결과 69
3. 글로벌물류기업과의 효율성 비교분석 81
제5장 결론 및 제언 84
제1절 연구결과의 요약 및 시사점 84
제2절 정책적 제언 86
1. 3PL의 활성화 86
2. 물류효율화 구현 87
3. 물류산업의 경쟁력 강화 88
4. 통합적인 정책시스템 구축 89
제3절 연구의 한계점 및 향후 과제 90

참고문헌 92
부록 97
조선대학교 대학원
김성화. (2012). DEA모형을 활용한 인증종합물류기업의 효율성 분석에 관한 연구.
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