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系統識別號 U0026-0207201016515900
論文名稱(中文) 衡量亞太經合會行動電信業者之經營效率、生產力變化與技術缺口
論文名稱(英文) Measuring the Efficiency, Productivity Change and Technology Gap of APEC Mobile Telecommunications Firms
校院名稱 成功大學
系所名稱(中) 電信管理研究所
系所名稱(英) Institute of Telecommunications and Management
學年度 98
學期 2
出版年 99
研究生(中文) 巢雅婷
研究生(英文) Ya-Ting Chao
學號 r9697105
學位類別 碩士
語文別 英文
論文頁數 84頁
口試委員 指導教授-廖俊雄
口試委員-陳勁甫
口試委員-鄭永祥
口試委員-陳盈秀
中文關鍵字 效率  生產力變化  技術缺口  APEC行動電信業者  共同邊界 
英文關鍵字 Efficiency  Productivity change  Technology gap  APEC mobile operator  Meta-frontier 
學科別分類
中文摘要 亞太經合會(APEC)對全球的經濟成長與發展有巨大的影響。2007年,APEC的21個成員國,約具有全球40.5%的人口、54.2%的國內生產毛額(GDP)、43.7%的貿易量。而APEC之行動電信業者對於全球的電信產業,不論是滲透率或用戶數的成長都扮演著極具影響力的角色。本研究目的是要透過資料包絡分析、麥氏生產力指數以及共同邊界等方法,來衡量從2003到2008年間,28個APEC行動電信業者的經營效率、生產力變化與技術缺口。其中,本研究採用營業收入和行動用戶數為兩產出變數;而員工數、總資產、資本支出則為三投入變數。

實證結果可分為以下三部分。在資料包絡分析模型中,KDDI、Telkomsel、 Smart Communication等三個業者,連續六年不論是在TE、PTE、SE效率值都為1,表示為有效率。相反的,Telstra、Rogers Wireless、Bell Wireless、Verizon Wireless、AT&T Mobility的技術效率值在2003到2008年,平均值都低於0.6。研究發現,高收入的業者不一定能表現出較高的效率,特別是這些業者因為在電信產業扮演著領導的角色,所以需發展更多新穎的技術、設備與系統以提供更好的服務來領先競爭者,因此,這可能使這些大業者表現無效率。此外,麥氏生產力指數結果顯示出,生產力在2003到2008年成長了5.5%,也就是一年成長1.1%,而此成長主要是因為技術效率的進步而非技術的創新。

最後,在共同邊界法的結果顯示,高滲透率群的業者,相對於低滲透率群的業者具有較高的技術效率和較小的技術缺口。由此可知,高滲透率群的業者,相對於低滲透率群業者,所採用的技術較接近共同邊界的技術。而Roger Wireless和Bell Wireless是兩個具有最大技術缺口的業者,所以這兩業者的技術距離共同邊界較遠。
英文摘要 The Asia-Pacific Economic Cooperation (APEC) has a great influence on the world’s economical growth and development. The 21 members in the APEC, accounted for 40.5% of the world's population, 54.2% of world gross domestic product and 43.7% of world trade volume in 2007. APEC mobile operators play an influential and fundamental role in global telecommunications industry and show pretty well performances both in penetration and growth of mobile subscribers. The purpose of this study is to measure the efficiency, productivity change and technology gap of 28 APEC’s mobile operators during the time period of 2003 to 2008, using the DEA, Malmquist index and Meta-frontier approaches. In this study, two output variables are operating revenue and number of mobile subscribers, and three input variables are number of employees, total assets and capital expenditures.

The empirical results of this study can be summarized by the following three parts. In the DEA model, three operators, KDDI, Telkomsel and Smart Communication, were fully efficient with all the values of TE, PTE and SE equal to 1 throughout the study period. But, Telstra, Rogers Wireless, Bell Wireless, Verizon Wireless and AT&T Mobility were the ones with the technical efficiency of less than 0.6 on average during 2003 to 2008. It is found that operators with large revenues do not necessarily achieve high efficiency. In particular, these operators, as the leading role in the telecommunication industry, have to develop pioneering technologies on services and applications and provide new network systems ahead of their rivals. Therefore, these might bring the inefficiency to large operators. Next, in the results of Malmquist productivity index, it is found that productivity increased by 5.5% between 2003 and 2008 or about 1.1% per year. This growth is due primarily to improvements in technical efficiency rather than innovation.

Finally, the Meta-frontier results showed that the operators in the group of high penetration rate had higher technical efficiencies and smaller technology gap on average than those in the group of low penetration rate. This implies that the operators in the high penetration rate group had higher technical efficiencies and their technologies were closer to the metafrontier as compared with those in the low penetration rate group. Further, Roger Wireless and Bell Wireless in the low penetration rate group are the two operators which had the largest technology gap among all APEC mobile operators. This indicates that the technologies of these two operators were farther away from the metafrontier.
論文目次 Abstract i
摘要 ii
Acknowledgement iii
Table of Contents iv
List of Tables vi
List of Figure viii
1. Introduction 1
1.1Background and motivation 1
1.2Development of mobile telecommunications in APEC 3
1.3Research objective 6
1.4 Structure of the study 7
2. Mobile Market in APEC 8
2.1 Mobile market in Asia-pacific region of APEC 8
2.1.1 China 10
2.1.2 Japan 12
2.1.3 Korea 14
2.1.4 Russia 15
2.2 Mobile market in America region of APEC 17
2.2.1 United States 20
2.2.2 Canada 21
2.2.3 Mexico 23
3. Literature Review 25
4. Research Methodology 32
4.1 Data envelopment analysis 32
4.2 Malmquist productivity index 35
4.3 Meta-frontier model 37
4.3.1 Meta frontier 38
4.3.2 Group frontier 38
4.4 Input and output variables 41
5. Empirical Results 43
5.1 Data collection 43
5.2 Efficiency comparison 49
5.2.1 Isotonicity test 49
5.2.2 Data envelopment analysis 49
5.2.3 Input slack analysis 60
5.3 Productivity change comparison 65
5.4 Technology gap comparison 72
6. Concluding Remarks 77
References 81
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