Analyzing Management Efficiency Variation of Global Shipping Firms with DEA and DEA/Window

• 발행기관: 한국자료분석학회
• 저자명: Bumsock Kang Byunghak Leem Sangwon Yi
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.6, 2905~2918쪽, 전체 14쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.12.30

영문 초록

Traditional Data Envelopment Analysis(DEA) determines the relative efficiency using cross-section data, but window analysis uses panel data to determine the efficiency. Analysis with cross-section data provides information for the overall time period, but with panel data provides large details of performance analysis over a period of time. The study analyzed efficiencies and periodical efficiency changes of global twelve shipping firms with DEA and DEA/Window from 2004 to 2008. According to the results from DEA-CCR model, NYK, OOCL, MOL and RCL showed higher efficiencies than other shipping firms. In window analysis, the total efficiency mean of shipping firms dropped, while showing a tendency to improve with Window 4 (2007-2008). In these context, it’s clear that shipping firms had made efforts to elevate their management efficiencies through restructuring like scale reduction.

목차

1. Introduction

2. Literature Review

3. Theoretical Backgrounds

4. Research Model and Empirical Analysis

5. Conclusion and Future Research Direction

References

키워드

Data Envelopment Analysis Windows Analysis Efficiency Cross sectional data Panel data