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研究生:許育瑛
研究生(外文):Yu-Ying Hsu
論文名稱:微笑曲線的驗證-台灣半導體產業之實證分析
論文名稱(外文):The Smiling Curve : Evidence from Taiwan's Semiconductor Industry
指導教授:朱博湧朱博湧引用關係
指導教授(外文):Po-Young Chu
學位類別:碩士
校院名稱:國立交通大學
系所名稱:管理科學系所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:58
中文關鍵詞:微笑曲線附加價值無形資產Panel data迴歸台灣半導體產業
外文關鍵詞:Smiling Curvevalue addedintellectual capitalpanel data regressionTaiwan semiconductor industry
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施振榮(2004)發現台灣半導體產業的附加價值曲線已轉變為U型之微笑曲線。因此,本研究將根據施振榮(1996)提出的微笑曲線理論,檢視台灣半導體產業之附加價值曲線。為驗證半導體產業的微笑曲線,本研究以2000-2005年的台灣半導體產業廠商為樣本,以無形資產評價方法作為附加價值的代理變數,驗證半導體產業價值鏈中附加價值的分佈,推導出台灣半導體產業之微笑曲線正確形狀。
本研究以Panel data迴歸分析,探討時間效果、產業價值鏈及公司效率對企業報酬率及附加價值的關係。迴歸結果發現台灣半導體產業深受景氣循環影響,營業風險高。而在產業價值鏈的環節中,半導體設計業同時涵蓋研發及品牌行銷的業務,較製造業及封測業擁有較高的報酬率及附加價值,因此台灣半導體產業價值鏈的微笑曲線為一U型曲線。
Shih developed a new perspective of firms' competitive advantage based on an extensive analysis of the industry's value-chain. Shih (2004) found that the value chain of Taiwan semiconductor industry had gradually shifted to the bottom in a U-shaped curve. Hence, this study will be in accordance with Shih's (1996) “Smiling Curve” hypothesis and test the value chain of Taiwan semiconductor industry. In order to test Shih announced the Smiling Curve of Taiwan semiconductor industry, the research selected Taiwan semiconductor firms in 2000-2005 for conducing empirical studies and we used the intellectual capital valuation methods as a proxy of value added.
We used panel data regression analysis to understand what factors affect firm's profit rate and value added. We find that Taiwan semiconductor industry is affected by business circle and has high business risk. The fabless industry has higher value added more than manufacturing industry or packaging and testing industry, because the fabless industry is engaged in design and marketing. For this reason, the value chain of Taiwan semiconductor industry is a U-shape curve.
中文摘要 i
英文摘要 ii
致 謝 iii
目 錄 iv
表目錄 vii
圖目錄 viii
一、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究範圍與方法 4
1.4 架構與流程 4
二、文獻探討 6
2.1 微笑曲線 6
2.1.1 微笑曲線的孕育 6
2.1.2 微笑曲線的發展 7
2.2 附加價值的定義及分類 8
2.2.1 無形資產意涵 9
2.2.2 無形資產評價 12
2.3 影響企業經營績效之因素相關文獻 16
三、半導體產業概況分析 18
3.1 國內半導體設計(FABLESS)廠商概況分析 19
3.2 國內IC製造廠商概況分析 21
3.3 國內半導體封裝測試廠商概況分析 22
四、研究設計 23
4.1 研究模型及資料分析方法 23
4.1.1 資料包絡分析法(Data Envelopment Analysis, DEA) 23
4.1.2 Panel data regression analysis 33
4.2 研究對象及資料來源 37
4.3 變數定義及衡量 37
4.3.1 篩選資料包絡分析法所使用的投入產出項 37
4.3.2 應變數:獲利率、附加價值 39
4.3.2 自變數:時間效果、價值鏈 40
五、實證結果與分析 41
5.1 CCR模式、BCC模式效率值分析 41
5.2 影響企業績效及獲利率之PANEL DATA REGRESSION分析 43
5.2.1 影響企業經營績效之panel data regression分析 43
5.2.2 影響企業獲利率之panel data regression分析 44
5.3 影響企業附加價值之PANEL DATA REGRESSION分析 45
5.3.1 企業附加價值之panel data regression分析結果整理 47
5.4 PANEL DATA REGRESSION分析結果的管理意涵 49
5.5 台灣半導體微笑曲線型態 50
六、結論與建議 53
6.1 研究結論及貢獻 53
6.1.1 研究結論 53
6.1.2 研究貢獻 54
6.2 研究限制 54
6.3 對後續研究者的建議 55
參考文獻 56
1.Johan Roos, et al著,智能資本:領航於新的商業版圖(Intellectual captial/navigating in the new business landscape),施純協譯,知行文化,臺北,2000。
2.Kaplan & Norton,「衡量無形資產的價值」,哈佛商業評論中文版,第三十期,54~67頁,2004。
3.Leif Edvinsson, Michael S. Malone著,智慧資本:如何衡量資訊時代無形資產的價值,林大容譯,麥田出版社,臺北,1999。
4.Thomas A. Stewart著,智慧資本:資訊時代的企業利基,宋偉航譯,智庫文化,臺北,1988。
5.王興毅計畫主持,我國半導體產業發展策略研究報告,經濟部工業局經濟部資訊工業發展推動小組,臺北市,2001。
6.何玉玲,「無形資產價值影響因素之研究-以台灣IC設計業為例」,國立交通大學,碩士論文,2004。
7.施振榮,未來六大趨勢,大塊文化出版股份有限公司,台北市,1990。
8.施振榮,全球品牌大戰略-品牌先生施振榮觀點,天下雜誌,台北市,2005。
9.施振榮,再造宏�痋A天下文化,台北市,1996。
10.施振榮,宏�眭漸@紀變革:淡出製造、成就品牌,天下遠見,台北市,2004。
11.高強、黃旭男、末吉俊幸,管理績效評估:資料包絡分析法,華泰,台北市,2003。
12.許楨屏,「無形資產價值衡量之研究-企業評價之觀點」,國立交通大學,碩士論文,2003。
13.覃禹華等著,2005半導體工業年鑑,初版,新竹縣,工業技術研究院產業經濟與資訊服務中心,2005。
14.楊川毅,「影響無形資產價值趨動因素之國內外比較-以台灣、美國IC設計業為例」,國立交通大學,碩士論文,2005。
15.劉明賢,「IC設計產業智慧資本與獲利能力關連性研究:台灣與美國實證」,國立交通大學,碩士論文,2005。
16.劉常勇,「後進地區發展高科技產業之策略分析-以台灣IC產業發展經驗為例」,劉常勇管理學習資料庫全球資訊網,1998。
17.謝孟玹等編著,2006半導體工業年鑑,初版,新竹縣,工業技術研究院產業經濟與資訊服務中心,2006。
18.Amato, L. and Wilder, R., “Firm and Industry Effects in Industrial Economics”, Southern Economic Journal, Vol.57, Iss.1, pp.93-105, 1990
19.Banker, R.D., Charnes, A., and Cooper, W.W., “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, Vol.30, Iss.9, pp.1078-1092, 1984.
20.Berman, J. and Pfleeger, J., “Which Industries Are Sensitive to Business Cycle”, Monthly Labor Review, Vol.120, Iss.2, pp.19-25, 1997.
21.Charnes, A. and Cooper, W. W., “Programming with Linear Functionals”, Naval Research Logistics Quarterly, Vol.9, pp.181-186, 1962.
22.Charnes, A., Cooper, W.W. and Rhodes, E., “Measuring the Efficiency of Decision Making Units”, European Journal of Operational Research, Vol.2, Iss.6, pp.429-444, 1978.
23.Chauvin, K.W. and Hirshey, M., “Advertising, R and D Expenditures and the Market Value of the Firm”, Financial Management, Vol.22, Iss.4, pp.128-140, 1993.
24.Chin, Chen-Lung, Lee, Picheng, Chi, Hsin-Yi, Anandarajan, Asokan, “Patent Citation, R&D Spillover, and Tobin's Q: Evidence from Taiwan Semiconductor Industry”, Review of Quantitative Finance and Accounting, Vol.26, Iss.1, pp.67-84, 2006.
25.Christensen, Clayton M. and Overdorf, Michael, “Meeting the Challenge of Disruptive Change”, Harvard Business Review, Vol.78, Iss.2, pp.66-76, 2000.
26.Chu, Po-Young, Teng, M.J., Huang, C.H., and Lin, H.S., “Virtual Integration and Profitability: Some Evidence from Taiwan’s IC Industry”, International Journal of Technology Management, Vol.29, Iss.1, 2, pp.152-172, 2005.
27.Chung, K., Pruitt, H., and Stephen, W., “A Simple Approximation of Tobin’s Q” Financial Management, Vol.23, Iss.3, pp.70-74, 1994.
28.Edvinsson, L. and Malone, M. S., Intellectual Capital: Realizing Your Company's True Value by Finding Its Hidden Brainpower, 1sted, Harper Business, New York, 1997.
29.Edvinsson, Leif and Sullivan, Patrick, “Developing a Model for Managing Intellectual Capital”, European Management Journal, Vol.14, No.4, pp.356-364, 1996.
30.Farell, M.J. , “The Measurement of Productive Efficiency“, Journal of Royal Statistical Society, Vol.120, Iss.3, pp.253-581, 1957.
31.Firer, S. and Williams, S. M., “Intellectual Capital and Traditional Measures of Corporate Performance”, Journal of Intellectual Capital, Vol.4, No.3, pp.348-360, 2003.
32.Gadiesh, O. and Gilbert, J.L., “Profit Pools: A Fresh Look at Strategy”, Harvard Business Review, Vol.76, Iss.3, pp.139-147, 1998.
33.Galbraith, John Kenneth, The new industrial state, Houghton Mifflin, Boston, 1967.
34.Hill, C.R.; Griffiths, W. E. and Judge, G.G., Undergraduate Econometrics,: John Wiley & Sons, New York, 1997.
35.Itami, H. and Roehl, T. Roehl, Mobilizing Invisible Assets, Harvard University Press, Cambridge, 1987.
36.Kieso, Donald E., Weygandt, Jerry J., Warfield, Terry D., Intermediate accounting, 11thed, John Wiley & Sons, New York, 2004.
37.Kramer, J. K. and Peters, J. R., “An Interindustry Analysis of Economic Value Added as a Proxy for Market Value Added”, Journal of Applied Finance, Vol.11, Iss.1, pp.41-49, 2001.
38.Luthy, D. H., “Intellectual Capital and Its Measurement”, 1998, working paper. (http://www3.bus.osaka-cu.ac.jp/apira98/archives/htmls/25.htm)
39.Lynn, B. E., “Performance evaluation in the new economy: Bringing the measurement and evaluation of intellectual capital into the management planning and control system”, International Journal of Technology Management, Vol.16, Iss.1-3, pp.162-177, 1998.
40.Perry, M. K., Vertical Integration: determinants and effects, In: Schmalensee, Willig, R. (Eds.), Handbook of Industrial Organization, 5th Edtion Elsevier, Amstredam, 1998.
41.Pulic, A. “VAICTM—an accounting tool for IC management”, International Journal of Technology Management, Vol.20, No.5, pp.703-714, 2000.
42.Pulic, A. and Bornemann, M., “The physical and intellectual capital of Austrian banks”, available at: www.measuring-ip.at/Papers/Pulic/bank/en-bank.html, 1999.
43.Pulic, A., “Measuring the performance of intellectual potential in knowledge economy”, available at: www.measuring-ip.at/Opapers/Pulic/vaictxt.vaictxt.html, 1998.
44.Ramcharran, H., “Inter-firm Linkages and Profitability in The Automobile Industry: The Implications for Supply Chain Management”, Journal of Supply Chain Management, Vol.37, Iss.1, pp.11-17, 2001.
45.Schneider, U., “The Austrian approach to the measurement of intellectual potential”, available at: www.measuring-ip.at/Opapres/Schneuder/Canada/theoreticalframework.html, 1999
46.Skandia., “Renewal and Development: Intellectual Capital”, Sweden: A supplement to Skandia’s 1995 Interim Annual Report, 1995.
47.Slywotzky, A. and Linthicum, F., “Capturing Value in Five Moves of Less: The New Game of Business”, Strategy & Leadership, Vol.25, Iss.1, pp.5-11, 1997.
48.Steward, T. A., Intellectual capital: The new wealth of organizations, Dell Publishing Group Inc, New York, 1997.
49.Sveiby, K. E., “Methods for Measuring Intangible Assets”, 2002, working paper. (http://www.Sveiby.com/articles/IntangibleMethods.htm)
50.Sveiby, K.E., The new organizational wealth: managing & measuring knowledge-based assets, 1sted, Berrett-Koehler Publishers, San Francisco, 1997.
51.Williams, M. S., “Is intellectual capital performance and disclosure practices related?”, Journal of Intellectual Capital, Vol.2, Iss.3, pp.192-203, 2001.
52.Woo, C. Y. and Willard, G., “Performance representation in business policy research: discussion and recommendation”, Paper presented at the 23rd Annual National Meetings of the Academy of Management, Dallas, 1983.
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