| 研究生: |
賴怡孜 Lai, Yi-Tzu |
|---|---|
| 論文名稱: |
亞太經合會綜合電信業者之生產力改變與技術缺口:
共同邊界麥氏生產力指數的應用 Using Metafrontier Malmquist Productivity Index to Measure the Productivity Change and Technology Gap of the APEC Integrated Telecommunications Operators |
| 指導教授: |
廖俊雄
Liao, Chun-Hsiung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 電信管理研究所 Institute of Telecommunications Management |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 77 |
| 中文關鍵詞: | 綜合電信業者 、生產力改變 、技術缺口比率 、共同邊界麥氏生產力指數 |
| 外文關鍵詞: | Integrated telecommunications operators, productivity change, technology gap ratio, metafrontier Malmquist productivity index |
| 相關次數: | 點閱:182 下載:3 |
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本研究的目的是衡量2001年到2010年期間亞太經濟合作會提供固網服務、行動服務、網路服務的綜合電信業者之生產力改變、技術效率改變、技術改變,以及技術缺口比率,同時,檢驗私有化、市場自由化與營運規模對電信業者的生產力表現之影響。本研究採用麥氏生產力指數法與共同邊界麥氏生產力指數法為研究方法。其研究步驟如下,首先,藉由麥氏生產力指數的分解得到效率改變值、技術改變值、純技術效率改變值、規模效率改變值、總要素生產力值;並將亞太經濟合作會成員依照國際貨幣基金組織之分類分為兩個群組,分別為先進經濟體與新興經濟體;再者,分別求得相較於共同邊界與群組邊界的技術效率變動值和技術變動值,最後,也將計算共同邊界麥氏生產力指數值、群組邊界麥氏生產力指數值、技術缺口比率值、追趕值。
本研究主要的發現如下,整體而言,新興經濟體中的電信業者生產力呈現較強勁的成長,但是,技術缺口卻較先進經濟體電信業者來得大。在先進經濟體中的電信業者,其群組邊界麥氏生產力指數值與追趕值呈現改善的趨勢,此現象也代表群組邊界逐漸向共同邊界趨近。再者,由其共同邊界麥氏生產力指數值與技術缺口比率值可得知,除了2003年至2005年期間之外,新興經濟體電信業者相較於共同邊界皆呈現強勁的成長。另一方面,新興經濟體中的電信業者,其群組麥氏生產力指數值與追趕值呈現改善的趨勢,此現象也代表群組邊界逐漸朝共同邊界趨近,共同邊界麥氏生產力指數值呈現正向的成長,但是技術缺口比例值卻不如共同邊界。更甚者,本研究發現電信業者的營運規模與所有權的類別以及所處的市場之結構皆與其生產力表現無關。最後,本研究提供相關的管理意涵與政策建議,用以促進電信營運商之生產力成長,並降低技術缺口。
This study measures and compares the productivity change, technical efficiency change, technical change and technology gap ratio of the APEC major integrated telecommunications operators that provide fixed-line services, mobile services, Internet services from 2001 to 2010. The relationships among the privatization, market liberalization, operating scale and the productivity performance of the operators are also examined. The methodology used are Malmquist productivity index (MPI) and metafrontier Malmquist productivity index (MMPI). The three steps are adopted in applying MMPI to measure the productivity change and technology gap. First, the values of efficiency change, technical change, pure technical efficiency change, scale efficiency change, and total factor productivity in the MPI model are derived. Second, the sixteen APEC integrated operators are classified into two groups: the group of advanced economies and the group of emerging and developing economies according to IMF (2011). The third step is to estimate the metafrontier with respect to the two groups under constant return to scale. The values of the technical efficiency change and technical change with respect to the metafrontier and the values of technical efficiency change and technical change with respect to the group frontier will be calculated. Finally, metafrontier Malmquist productivity index (MMPI), group Malmquist productivity index (GMPI), the technology gap ratio (TGR) and the catch-up are calculated.
The main findings are summarized as follow. Overall, the operators in the emerging and developing economies are found to achieve higher productivity growth but have larger technology gap than the ones in the advanced economies. In the group of advanced economies, the GMPI and catch-up values displayed improving trends, indicating that these economies showed improving productivity changes with respect to the group frontier and that the group frontier moved toward the metafrontier. Their MMPI and TGR values displayed positive productive changes and advanced technology level with respect to the metafrontier except in 2003-2005. In the group of emerging and developing economies, the GMPI and catch-up values displayed positive productivity changes with respect to the group frontier, implying that group frontier moving toward the metafrontier. The MMPI values displayed positive productive changes but the TGR values displayed inferior technology level with respect to the metafrontier. Surprisingly, the scale and ownership of an operator and the market structure are found not to be related to the productivity performance of the integrated operator. Finally, the managerial and policy suggestions are drawn from the results of this study to promote productivity growth and reduce technology gap of telecommunications operators.
1. Aigner, D.J., Lovell, C.A.K., & Schmidt, P.J. (1968). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(4), 21-37.
2. Ali, A.I., & Lerme, C.S. (1997). Comparative advantage and disadvantage in DEA. Annuals of Operations Research, 73(0), 215-232.
3. America Telephone & Telegraph (AT&T) (2011). Annual reports 2001-2010. Retrieved from <http: //www.att.com/>.
4. Australian Bureau of Statistics, (2011). Internet activity, Australia, Dec 2010. Retrieved from <http: // www.abs.gov.au/>.
5. Barros, C.P., & Weber, W.L. (2009). Productivity growth and biased technological change in UK airports. Transportation Research Part E, 45(4), 642-653.
6. Battese, G.E., & D.S.P. Rao (2002). Technology Gap, Efficiency and a Stochastic Metafrontier Function. International Journal of Business and Economics, 1(2), 87-93.
7. Battese, G.E., Rao, D.S.P., & O’Donnell, C.J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, 21(1), 91-103.
8. Bell Canada (2011), Annual reports 2001-2010. Retrieved from <http://www.bell.ca/home/>.
9. Budde Communication (2011a). Australia - Mobile communications- Statistics and forecasts. Retrieved from <http : //www.budde.com.au/>.
10. Budde Communication (2011b). Canada - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
11. Budde Communication (2011c). China - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
12. Budde Communication (2011d). Hong Kong - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
13. Budde Communication (2011e). Indonesia - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
14. Budde Communication (2011f). Japan - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
15. Budde Communication (2011g). Korea - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
16. Budde Communication (2011h). Philippines - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
17. Budde Communication (2011i). Russia - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
18. Budde Communication (2011j). Taiwan - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
19. Budde Communication (2011k). Malaysia - Telecoms, mobile, broadband and forecasts. Retrieved from <http: //www.budde.com.au/>.
20. Budde Communication (2011l). New Zealand - Telecoms, mobile, broadband and forecasts. Retrieved from <http : //www.budde.com.au/>.
21. Budde Communication (2011m). Mexico - Telecoms, mobile, broadband and Forecasts. Retrieved from <http ://www.budde.com.au/>.
22. Budde Communication (2011n). Singapore – Mobile communications-Market overview. Retrieved from <http: //www.budde.com.au/>.
23. Budde Communication (2011o). U.S. – Mobile communications-Market Overview. Retrieved from <http: //www.budde.com.au/>.
24. BusinessWire (2011). Research and markets: Taiwan - Telecoms, mobile, broadband and forecasts. Retrieved from < http://www.businesswire.com/>.
25. Calabrese, A., Campisi, D., & Mancuso, P. (2002). Productivity change in the telecommunications industries of 13 OECD countries. International Journal of Business and Economics, 1(3), 209-223.
26. Caves, D.W., Christensen, L.R., & Diewert, W.E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica, 50(6), 1393-1414.
27. CBS (2011). Globe Telecom’s mobile subscriber base up 14% to 26.5 million in 2010. Retrieved from <http://findarticles.com/p /news-articles/>.
28. Ceccobelli, M., Gitto, S., & Mancuso, P. (2012). ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries. Telecommunications Policy, 36(4), 282-292.
29. Chang, T.P., & Hu, J.L. (2010). Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China. Applied Energy, 87(10), 3262-3270.
30. Checkonomics (2011). Japanese fixed and mobile market. Retrieved from <http://www.checkonomics.com>.
31. Chen, K.H., & Yang, H.Y. (2011). A cross-country comparison of productivity growth using the generalized metafrontier Malmquist productivity index: With application to banking industries in Taiwan and China. Journal of Productivity Analysis, 35(3), 197-212.
32. Chen, Z., & Song, S. (2008). Efficiency and technology gap in China’s agriculture: A meta-frontier analysis. China Economics Review, 19(2), 287-296.
33. China Telecom (2011). Annual reports 2001-2010. Retrieved from <http://www.chinatelecom.com.cn/>.
34. Chunghwa Telecom (2011). Annual reports 2001-2010. Retrieved from <http://www.cht.com.tw/>.
35. Coelli, T.J., & Rao, D.S.P. (2005). Total factor productivity growth in agriculture: A Malmquist index analysis of 93 countries, 1980-2000. Agricultural Economics, 32(1), 115-134.
36. Coli, M., Nissi, E., & Rapposelli, A. (2011). Efficiency evaluation in an airline company: Some empirical results. Journal of Applied Sciences, 11(4), 737-742.
37. Cricelli, L., Grimaldi, M., & Ghiron, N. L. (2011). The competition among mobile network operators in the telecommunication supply chain. International Journal of Production Economics, 131(1), 22-29.
38. Emrouznejad, A., Malkhalifeh, M.R., Marbini, A.H., Tavana, M., & Aghayi, N. (2011). An overall profit Malmquist productivity index with fuzzy and interval data. Mathematical and Computer Modeling, 54(11-12), 2827-2838.
39. Färe, R., Grosskopf, S., & Norris, M. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review, 84(1), 66-83.
40. Färe, R., Grosskopf, S., & Weber, W.L. (1989). Measuring school district performance. Public Finance Review, 17(4), 409¬-428.
41. Färe, R., & Primont, D. (1995). Multi-Output Production and Duality: Theory and Applications, Norwell, USA: Kluwer Academic Publishers.
42. Façanha, L.O., & Resende, M. (2004). Price gap regulation, incentives and quality: The case of Brazilian telecommunications. International Journal of Production Economics, 92(2), 133-144.
43. Federal Reserve Bank of New York (2012). Available online at: http://www.newyorkfed.org/index.html
44. Giokas, D.I., & Pentzaropoulos, G.C. (2008). Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study. Telecommunications Policy, 32(9-10), 672-685.
45. Globe Telecom (2010). Globe posts 11% profit hike to 12.6B. Retrieved from <http://site.globe.com.ph/web/business/news_events/>.
46. Globe Telecom (2011a). Annual reports 2001-2010. Retrieved from <http://web.portal.globe.com.ph/>.
47. Globe Telecom (2011b). Globe improves mobile network quality makes significant investment on quality and capacity upgrade. Retrieved from <http://tattoo.globe.com.ph/>.
48. Grifell-Tatjé, E., & Lovell, C.A.K. (1996). Deregulation and productivity decline: The case of Spanish banking. European Economic Review, 40(6), 1281-1303.
49. Hisali, E., & Yawe, B. (2011). Total factor growth in Uganda’s telecommunications industry. Telecommunications Policy, 35(1), 12-19.
50. International Monetary Fund (IMF) (2011). available online at: http://www.imf.org/
51. International Telecommunication Union (ITU) (2003). Mobile Overtakes Fixed: Implications for Policy and Regulation. Retrieved from <http://www.itu.int/osg/spu/ni/mobileovertakes/Resources/Mobileovertakes_Paper.pdf>.
52. International Telecommunication Union (ITU) (2011a). Fixed telephone lines. Retrieved from <http://www.itu.int/ITU-D/ict/statistics/>.
53. International Telecommunication Union (ITU) (2011b). Internet users. Retrieved from < http://www.itu.int/ITU-D/ict/statistics/>.
54. International Telecommunications Union (ITU) (2011c). Mobile cellular subscriptions. Retrieved from < http://www.itu.int/ITU-D/ict/statistics/>.
55. Johnes, J. (2006). Efficiency and productivity change in the English higher education sector from 1996/97 to 2002/03. The Manchester School, 76(6), 653-674.
56. Kang, C. C. (2009). Privatization and production efficiency in Taiwan’s telecommunications industry. Telecommunications Policy, 33(9), 495-505.
57. Kang, C. C. (2010). Liberalization policy, production and cost efficiency in Taiwan’s telecommunications industry. Telematics and Informatics, 27(1), 79-89.
58. Korea Telecom (KT) (2011). Annual reports 2001-2010. Retrieved from <http:// www.ktf.com>.
59. Krishnasamy, G., & Ahmed, E.M. (2009). Productivity growth analysis in OECD countries: Application of metafrontier functions. The Journal of the Korean Economy, 10(2), 225-244.
60. Krishnasamy, G., Ridzwa, A.H., & Perumal, V. (2003). Malaysian post merger banks’ productivity: Application of Malmquist productivity index. Managerial Finance, 30(4), 63-78.
61. Kumbhakar, S.C., & Lovell, C.A.K. (2000). Stochastic Frontier Analysis, New York, USA: Cambridge University Press.
62. Lam, P.L., & Lam, T. (2005). Total factor productivity measures for Hong Kong. International Journal of Management, 29(1), 53-68.
63. Lam, P.L., & Shiu, A. (2008). Productivity analysis of the telecommunications sector in China. Telecommunications Policy, 32(8), 559-571.
64. Lam, P.L., & Shiu, A. (2010). Economic growth, telecommunications development and productivity growth of the telecommunications sector: Evidence around the world. Telecommunications Policy, 34(4), 185-199.
65. Liao, C.H., & Lien, C.Y. (2012). Measuring the technology gap of APEC integrated telecommunications operators. Telecommunications Policy, forthcoming.
66. Lin, Y.H., Hsu, G.J.Y., & Hsiao, C.K. (2007). Measuring efficiency of domestic banks in Taiwan: Application of data envelopment analysis and Malmquist index. Applied Economics Letters, 14(11), 821-827.
67. Liu, F.H.F., & Wang, P.H. (2008). DEA Malmquist productivity measure: Taiwan semiconductor companies. International Journal of Production Economics, 112(1), 367-379.
68. Lobo, M.S.A, Ozcan, Y.A., Silva, A.C.M., Estellita, M.P., & Fiszman, R. (2010). Financing reform and productivity change in Brazilian teaching hospitals: Malmquist approach. Central European Journal of Operations Research, 18(2), 141-152.
69. Ludena, E.C., (2010). Agricultural productivity growth, efficiency change and technical progress in Latin America and the Caribbean. IDB Working Paper Series No. IDB-WP-186, Inter-American Development Bank.
70. Madden, G., Savage, S., & Ng, J. (2003). Asia-Pacific telecommunications liberalization and productivity performance. Australian Economic Papers, 42(1), 91-102.
71. Malaysia Telecom (2011). Annual reports 2001-2010. Retrieved from <http://www1.mtsgsm.com/>.
72. Malmquist, S. (1953). Index numbers and indifference curves. Trabajos de Estatistica, 4(1), 209-242.
73. Mazumdar, M., & Rajeev, M. (2009). Comparing the efficiency and productivity of the Indian pharmaceutical firms: A Malmquist-Meta-Factors approach. International Journal of Business and Economics, 8(2), 159-181.
74. Mulwa, R., Emrouznejad, A., & Muhammad, L. (2009). Economic efficiency of smallholder maize producers in Western Kenya: A DEA meta-frontier analysis. International Journal of Operational Research, 4(3), 250-267.
75. Ng, E.C.Y. (2012). What determines productivity performance of telecommunications services industry? A cross-country analysis. Applied Economics, 44(18), 2359-2372.
76. Nippon Telegraph and Telephone (NTT) (2011). Annual reports 2001-2010. Retrieved from <http:// www.nttdocomo.co.jp/>.
77. OANDA (2012). Retrieved from <http://www.oanda.com/>.
78. Odeck, J. (2005). Evaluating target achievements in the public sector: An application of a rare non-parametric DEA and Malmquist indices. Journal of Applied Economics, 8(1), 171-190.
79. O’Donnell, C.J., Rao, D.S.P., & Battese, G.E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231-255.
80. Office of the Telecommunications Authority (OFTA) (2011). http://www.ofta.gov.hk/
81. Oh, D.H. (2010). A metafrontier approach for measuring an environmentally sensitive productivity growth index. Energy Economics, 32(1), 146-157.
82. Oh, D.H., & Lee, J.D. (2010). A metafrontier approach for measuring Malmquist productivity index. Empirical Economics, 38(1), 47-64.
83. Organization for Economic Cooperation and Development (OECD) (2011). Retrieved from <http://www.oecd.org/>.
84. Pantzios, C.J., Karagiannis, G., & Tzouvelekas, V. (2005). Parametric decomposition of the input-oriented Malmquist productivity index: With an application to Greek aquaculture. Business and Economics, 36(1), 21-31.
85. Pacific Century Cyber Works (PCCW) (2011). Annual reports 2001-2010. Retrieved from <http://www.pccw.com>.
86. Pentzaropoulos, G.C., & Giokas, D.I. (2002). Comparing the operational efficiency of the main European telecommunications organizations: A quantitative analysis. Telecommunications Policy, 26(11), 595-606.
87. Portela, M.C.A.S., Thanassoulis, E., & Maugg, T. (2011). Productivity change in the water industry in England and Wales: Application of the meta-Malmquist index. Journal of the Operational Research Society, 55, 1-16.
88. Quang, N.X., & Borger, B.D. (2008). Bootstrapping efficiency and Malmquist productivity indices: An application to Vietnamese commercial banks. Proceedings of Asia-Pacific Productivity Conference 2008. Taipei, Taiwan.
89. Rambaldi, A.N., Rao, D.S.P., & Dolan, D. (2007). Measuring productivity growth performance using meta-frontiers with applications to regional productivity growth analysis in a global context. Retrieved from <http://espace.library.uq.edu.au/view/UQ:137421>.
90. Rao, D.S.P. (2006). Metafrontier frameworks for the study of firm-level efficiencies and technology gaps. Proceedings of Conference on Productivity and Efficiency, Taipei, Taiwan, 21-49.
91. RNCOS (2010). Increased mobile subscribers and 3G technology stimulate China telecom revenue. available online at: http://www.rncos.com
92. Röller, L.H., & Wavermwn, L. (2001). Telecommunications infrastructure and economic development: A simultaneous approach. The American Economic Review, 91(4), 909-923.
93. Sappington, D. E. M., & Weisman, D. L. (2010). Price cap regulation: What have we learned from 25 years of experience in the telecommunications industry?. Journal of Regulatory Economics, 38(3), 227-257.
94. Singapore Telecommunications (SingTel) (2011). Annual reports 2001-2010. Retrieved from <http://welcome.singtel.com>.
95. Stevens, P.A. (2004). Accounting for background variables in stochastic frontier analysis. Discussion Paper Number 239, National Institute of Economic and Social Research.
96. Sueyoshi, T. (1998). Privatization of Nippon telegraph and telephone: Was it a good policy decision? European Journal of Operation Research, 10(7), 45–61.
97. Ministry of Transportation and Communication, 1966–1996. Statistical Yearbook of Telecommunications, Taiwan.
98. Suzuki, Y., & Sastrosuwito, S. (2011). Efficiency and productivity change of the Indonesian commercial banks. Proceedings of 2011 International Conference on Economic, Trade and Development, Singapore: IACSIT Press.
99. Svyazinvest (2011). Annual reports 2001-2010. Retrieved from <http:// eng.svyazinvest.ru/>.
100. Symeou, P.C. (2011). Economy size and performance: An efficiency analysis in the telecommunications sector. Telecommunications Policy, 35(5), 426-440.
101. Telecom New Zealand (2011). Annual reports 2001-2010. Retrieved from <http:// www.telecom.co.nz/english>.
102. Telkom (2011). Annual reports 2001-2010. Retrieved from <http:// www.telkom.co.id/>.
103. Telmex (2011). Annual reports 2001-2010. Retrieved from <http:// www.telmex.com/pe/>.
104. Telstra (2011). Annual reports 2001-2010. Retrieved from <http:// www.telstra.com.au/>.
105. Thailand Publish Company Limited (TOT) (2011). Annual reports 2001-2010. Retrieved from <http://www.tot.co.th/>.
106. The Nation (2011). Asia-Pacific demand for mobile data services increases as mobile voice declines, finds Ovum. Retrieved from <http://www. nationmultimedia.com/>.
107. The Infocomm Development Authority of Singapore (IDA) (2011). Retrieved from <http://www.ida. gov.sg/>.
108. The Standard (2011). PCCW. Retrieved from <http://finance.thestandard. com.hk/en/>.
109. The World Bank (2012). ICP 2005 Global Results. Retrieved from <http://siteresources.worldbank.org/ICPEXT/Resources/ICP_2011.html >.
110. Uri, N.D. (2002). The measurement of the change in productivity in telecommunications. Telecommunication Systems, 20(3-4), 177-194.
111. Worthington, A.C. (2011). Efficiency, technology and productivity change in Australian urban water utilities. Retrieved from <http://papers.ssrn.com/>.
112. Wu, D., Yang, Z. and Liang, L. (2006). Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis. Applied Mathematics and Computation, 181(1), 271-281.
113. Wu, H.L. (2006). The policy-fit view on the efficiency effects of privatization. Journal of Policy Modeling, 28(3), 281–292.
114. Yan, X. (2001). Fixed-mobile interconnection: The case of China and Hong Kong SAR. mimeograph.
115. Yahoo News (2011). South Korea tops in Internet download speed. Retrieved from <http://news.yahoo.com>.