臺灣博碩士論文加值系統

太陽能產業是長期再生能源的重要產業，本研究目的在於分析2007年到2010年期間經歷金融海嘯時，臺灣與大陸之太陽能廠商之經營績效，採以二階段資料包絡分析法將績效分成獲利能力與市場能力效率值，並以麥氏生產力指數分析四年總生產力變化，最後進一步以管理決策矩陣分析，提供相對無效率之矽晶太陽能業者經理人建議方向以改善經營績效。在Two-stage DEA分析結果，在獲利能力階段有約將近43％矽晶太陽能廠商相對無效率，市場能力階段則有74％廠商相對無效率。Malmquist生產力指數分析結果，2007年至2010年的總生產力變動呈現大幅衰退60.3％，主因來自於技術效率衰退55％，規模效率方面也衰退了25.2％。矽晶太陽能產業規模效率有81%的DMUs呈現遞減，顯示投入資源配置過多或管理決上有錯誤所造成。管理決策矩陣顯示矽晶太陽能產業有10家廠商落在獲利能力與市場能力皆具較佳效率值的象限I，是該產業於2007年至2010年的領導廠商，可作為其他未達相對效率廠商的學習對象。

Solar cell industry is an important industry for long-term renewable energy development. In this study we applied Two-Stage data envelopment analysis (Two-Stage DEA) approach to explore the profitability and marketability efficiency of solar cell industry in Taiwan and China suffering the financial tsunami in the period 2007-2010. We also utilizes Malmquist productivity index (MPI) to analyze overall total factor production change from 2007 to 2010 and furthermore propose the managerial decision-making matrix to provide suggestions in order for managers in inefficient solar cell industry to improve their operation performance.
The Two-Stage DEA results indicate that approximately 43 percent of the solar cell companies have relative inefficiency in the profitability efficiency process and 74 percent of them are inefficient in the marketability efficiency process. Four years of Malmquist productivity Index annual results show that total factor production change (TFP) sharp declined by 60.3% which results from technical efficiency (TE) declined by 55%, and also scale efficiency (SE) declined 25%. Approximate 81% DMUs of solar cell industry is trend-down on scale efficiency, which means allocation of input sources is too much or some mistake had been made about decision-making. Ten solar cell companies are in zone 1 in the decision-making matrix represent leading position in the period 2007-2010. These ten solar cell companies can be benchmarks and may provide inefficient solar cell companies to learn with.

目錄
書名頁 i
審定書 ii
授權書 iii
中文摘要 vii
英文摘要 viii
誌謝 ix
目錄 x
表目錄 xii
圖目錄 xiii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究架構 2
1.4 研究流程 3
第二章 文獻探討 4
2.1 DEA與Malmquist生產力指數相關文獻 4
2.2 Two-Stage DEA相關文獻 6
第三章 研究方法 9
3.1 資料包絡分析法 9
3.2 二階段資料包絡分析法模型 13
3.3 Malmquist生產力指數 15
3.4 研究變數與定義 16
3.5 資料選擇與敘述性統計 17
第四章 實證分析 22
4.1 Two-Stage DEA績效分析 22
4.2 Malmquist生產力指數分析 25
4.3 管理決策矩陣 28
第五章 結論與建議 30
5.1 結論 30
5.2 研究限制及建議 30
參考文獻 32

一、中文
1. 王本正、莊銘國、宋明弘、林建銘、蔡宛珊、王昭懿（2008），「亞太地區太陽光電產業之績效評估：應用資料包絡分析法」，臺灣企業績效學刊，第1卷第2期，229-249。
2. 末吉俊幸（2006），經營效率分析法-DEA，臺北：鼎茂，11-25。
3. 李正文、陳翔修（2008），「臺灣光電產業之經營效率分析-資料包絡分析法之應用」，中原企管評論，第6卷第1期，1-30。
4. 林志偉（2010），「臺灣矽晶太陽能光電產業之績效分析—隨機邊界生產函數法之應用」，未出版碩士論文，臺北大學經濟學系，56-58。
5. 洪秀婉、林美惠、王安邦（2008），「全球網路零售公司經營績效之研究」，電子商務學報，第10卷第2期，359-377。
6. 高強、黃旭男、末吉俊幸（2003），管理績效評估-資料包絡分析法，臺北：華泰，51-66。
7. 孫遜（2004），資料包絡分析法-理論與應用，臺北：揚智，17-31。
8. 陳富強、馮淑琴、方顯光（2011），「探討臺灣地區本國銀行獲利能力與市場能力一二階段DEA」，華人經濟研究，第9卷第2期，33-52。
9. 黃丙雄（2008），「太陽能光電產業關鍵成功因素之研究-AHP法之運用」，未出版碩士論文，國立成功大學高階管理碩士在職專班，46-48。
10. 劉文光（2009），「臺灣矽晶圓太陽能產業經營模式之分析」，未出版碩士論文，中原大學企業管理學系，66-67。


二、英文
1. Banker, R.D., Charnes, A. & Cooper, W.W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, Vol.30, 1078-1092.
2. Boussofiane, A., Dyson, R. G. & Thanassoulis, E. (1991), Applied Data Envelopment Analysis, European Journal of Operational Research, Vol.52, 1-15.
3. Brockett, P. L. & Golany, B.(1996), Using rank statictic for determing programmatic efficiency differences in data envelopment analysis, Management Science, Vol.42, 467-472.
4. Caves, D., Chistensen, L.R., & Diewert, W. (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity, Econometrica, Vol.50(6), 1393-1414.
5. Charnes, A., Cooper, W.W., & Rhodes E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, Vol.2, 429-444.
6. Charnes, A., Cooper, W.W., Golany B., Seiford, L.M. & Stutz, J. (1985), Foundations of Data Envelopment Analysis for Pareto–Koopmans Efficient Empirical Production -functions, Journal of Econometrics, Vol.30, 91–107.
7. Chen, Y, Cook, W.D. & Zhu, J. (2010), Deriving the DEA Frontier for Two-Stage Processes, European Journal of Operational Research, Vol.202, 138-132.
8. Chen, Y.S. ＆ Chen, B.Y. (2011),Applying DEA, MPI, and Grey Model to Explore the Operation Performance of the Taiwanese Wafer Fabrication Industry, Technological Forecasting and Social Change, Vol.78(3),536-546.
9. Chueh, H.E. & Jheng, J.Y. (2012), Applying Data Envelopment Analysis to Evaluation of Taiwanese Solar Cell Industry Operational Performance, International Journal of Computer Science & Information Technology, Vol.4(4), 1-8.
10. Cook, W.D. & Seiford, L.M. (2009), Data envelopment analysis (DEA) – Thirty Year on, European Journal of Operational Research, Vol.191, 1-17.
11. Cooper, W. W., Seiford, L.M. & Tone, K. (2000), Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, USA.
12. Cristina, A.B., Sten, A.T., & Joaquina, L. (2004), Fundamental Analysis of Stocks by Two-Stage DEA, Managerial and Decision Economics, Vol.25, 231-241.
13. Färe, R, Grosskopf, S, Norris, M. & Zhang, Z. (1994), Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries, American Economic Review, Vol.84, 66-83.
14. Farrell, M.J. (1957), The Measurement of Productive Efficiency, Journal of the Royal Statistical Society. Series A, Vol.120, 253-290.
15. Golany, B. & Roll, Y. (1989), An Application Procedure for DEA, Omega International Journal of Management Sciences, Vol.17(3), 237-250.
16. Ho, B.C.T.（2008）, Measuring Profitability and Marketability in Internet Companies, The Open Management Journal, Vol.1, 12-25.
17. Huang, M.Y. & Huang, S.Y. (2010), Productivity Evaluation of Taiwanese Semiconductor Companies: Using a Three-stage Malmquist DEA Approach, Taiwan Journal of Applied Economics, Vol.87, 31-57.
18. Kao, C. & Hwang, S.N. (2008), Efficiency Decomposition in Two-Stage Data Envelopment Analysis: An Application to Non-life Insurance Companies in Taiwan, European Journal of Operational Research, Vol.185, 418-429.
19. Lewin, A. Y. & Minton, J. W. (1986), Determining Organization Effectiveness: Another Look and an Agenda for Research, Management Science, Vol.32, 514-538.
20. Lu, W.M. & Hung, S.W. (2009), Evaluating Profitability and Marketability of Taiwan's IC Fabless Firms: An DEA Approach, Journal of Scientific & Industrial Research, Vol.8, 851-857.
21. Luo, X. (2003), Evaluating the Profitability and Marketability Efficiency of Large Banks an Application of Data Envelopment Analysis, Journal of Business Research, Vol.56, 627-635.
22. Seiford, L.M., & Zhu, J. (1999), Profitability and Marketability of the Top 55 U.S. Commercial Banks, Management Science, Vol.45, 1270-1288.
23. Sexton, T. R., & Lewis, H. F. (2003), Two-stage DEA：an Application to Major League Baseball, Journal of Productivity Analysis, Vol.38, 227-249.
24. Shephard, R. W. (1970), Theory of Cost and Production Functions, Princeton University Press, Princeton, N.J.
25. Wang, W.K. (2005), A Knowledge-based Decision Support System for Measuring the Performance of Government Real Estate Investment, Expert Systems with Applications, Vol.29(4), 901-912.
26. Wu, D.D. & Ho, C.T.B. (2007), Productivity and Efficiency Analysis of Taiwan's Integrated Circuit Industry, International Journal of Productivity and Performance Management, Vol.56(8), 715-730.
27. Zhu, J. (2000), Multi-factor Performance Measure Model with an Application to Fortune 500 Companies, European Journal of Operational Research, Vol.123, 105-124.