title page
Abstract
Contents
I. Introduction 9
II. Literature Reviews 13
III. Overview of Methodologies 16
3.1. Data Envelopment Analysis 16
3.1.1. Concept of DEA 16
3.1.2. Various models of DEA: CCR and BCC model 19
3.2. Concepts of Technical, Pure Technical and Allocative Efficiency 22
IV. Data and Empirical Results 25
4.1. Variables 25
4.1.1. Input measures 25
4.1.1.1. CAPEX 25
4.1.1.2. MKTEX 26
4.1.2. Input price measures 27
4.1.3. Output measures 27
4.2. Data Collection 28
4.3. Empirical Results 29
4.3.1. CCR model 29
4.3.1.1. Comparing Fixed network service and Mobile service 30
4.3.1.2. Trend of Technical Efficiency Scores 32
4.3.2. BCC model and Scale Efficiency 33
4.3.3. Allocative Efficiency and Overall Efficiency 35
V. Implications 37
VI. Conclusion 39
국문요약 41
References 43
Appendix : Operators' financial information used in empirical test 46
Acknowledgements 47
Curriculum Vitae 48
Table 1. Comparison of Mobile operators' ROCE in 2003 10
Table 2. Previous literatures on the telecommunication industry using DEA approach 15
Table 3. Descriptive statistics of input and output variables (billion KRW) 29
Table 4. Correlations between variables 29
Table 5. Technical Efficiency 30
Table 6. Pure Technical Efficiency Scores 33
Table 7. Scale Efficiency Scores 34
Table 8. Allocative Efficiency Scores 36
Table 9. Overall Efficiency Scores 36
Figure 1. Comparision of DEA with regression analysis 18
Figure 2. Technical, Allocative and Overall Efficiency 24
Figure 3. DEA frontier for operators' expenditure efficiency 31