生物科技產業被視為二十世紀最有發展潛力的產業之一，我國自1980 年代
起逐漸重視生物技術，陸續通過生物技術產業推動方案、十大新興工業、兩兆雙
星計劃等國家發展計劃，積極推動研發能量。我國將生物科技產業分為製藥產業、
醫療器材產業及新興生技產業三大領域，其中生技醫藥運用基因工程或重組蛋白
等技術，解決人類健康與疾病等相關問題，為生技領域中非常重要的一環。

生技新藥產業價值鏈很長，從基礎研究到開發核准上市，至少需十年以上的
時間，平均開發出一個新藥需三億到六億美元左右，但若是成功研發新藥上市，
將會帶來十倍以上的報酬。我國目前生技新藥公司的規模都不大，在有限的資源
下，企業進行研發投入，並透過外部合作網絡互補所需資源和技術，對經營績效
是否產生正面影響是本研究欲探討之問題。此外，政府為了鼓勵企業投入研發活
動，採取許多研發補助計劃，以直接補助經費的方式，希望能促進企業研發投入、
降低研發風險、提升創新績效。因此，本研究也欲探討政府研發補助是否對生技
新藥公司經營績效有正面的影響。

本研究根據研究背景和文獻探討提出五項假設，針對台灣生技新藥廠商為研
究對象，採用台灣經濟研究院於民國96 年至100 年間發放之回卷，作為實證分
析之主要資料，總計有16 家生技新藥廠商回卷，共33 份樣本數。研究結果發現
研發費用投入對經營績效為負向影響，研發人員投入對經營績效並無顯著效果。
然而，外部合作網絡和政府研發補助皆對廠商經營績效有正向顯著之影響，並且
當以外部合作網絡和政府研發補助為干擾變數時，研發投入對經營績效產生正向
顯著影響，顯示此二項干擾變數，除了與經營績效有正向關係之外，也對研發投
入對績效之影響有正向干擾效果。

生技新藥產業目前仍屬於發展中之產業，尚未建立起一定規模和模式，且國
內針對生技新藥產業之研究甚少。本研究針對目前產業現況進行分析，試圖推論
研發投入、外部合作網絡、政府研發補助和經營績效之關聯，根據研究結果提出
管理意涵，期望藉由本研究之結果，提供臺灣生技新藥公司經營管理和未來學術
研究之參考。

The biotech industry is regarded as one of the most potential industries in the 20th century. The demand for the biotech technology increases as numerous countries support biology research to find cures for human diseases and improve people’s lives. Genetic engineering, recombinant protein and DNA techniques have been used to early disease detection, target treatment and disease prevention. The biopharmaceutical industry value chain is showing a long period from basic research to the market, and producing a new drug needs at least a decade and invests about three to six hundred million US dollars. Even though the high risk and uncertain, a successful product could bring ten times reward.

Most of the biopharmaceutical companies in Taiwan are small-to-medium sized in capital and still in the research and development stage. In order to improve the research capabilities, knowledge exchange and technology upgrade, it's a tendency for Taiwan’s companies to develop strategic alliances with external organizations. The external cooperation networks whether have positive impact on the firm performance is one of the issues this study try to investigate. In addition, government implements various research subsidies in order to encourage firms to invest in R&D. The research also attempts to study the effects on the performance of the firms while acquiring the government research subsidies.

The study adopts the questionnaires of Taiwan’s biopharmaceutical companies from the Taiwan Institute of Economic Research, and the data includes 16 firms, 33 sets of questionnaire from 2007-2011. The results show that the R&D expense has negative impact on the operating performance and R&D faculty input has no relationship with the firm performance. However, the external cooperation networks and government R&D subsidies all have positive effect on the firm performance. Besides, while conducting external cooperation networks and government R&D subsidies as moderators, the R&D input has a significantly positive impact on the performance. From the results, the study concludes that the external networks and government subsidies can help to increase and complement the internal resources and improve operating performance of Taiwan’s biopharmaceutical companies.

Biopharmaceuticals industry is still on the process of the development, and has not yet established a large-scaled environment. The domestic research for the biopharmaceuticals industry in Taiwan is very rare and scarce. This study attempts to investigate the relationship between R&D investment, external cooperation networks, government R&D subsidies and the operating performance. The results provide the management implications for the biopharmaceuticals companies and also academic suggestions for the follow-up researches in the future.

中文摘要 I
英文摘要 II
致謝 IV
目錄 V
圖目錄 VII
表目錄 VIII
第一章、 緒論 1
第一節、 研究背景與動機 1
第二節、 研究目的 3
第三節、 研究對象 3
第四節、 研究流程 4
第二章、 文獻探討 5
第一節、 全球生技醫藥產業概況 5
第二節、 台灣生技醫藥產業概況 12
第三節、 研發投入與績效 19
第四節、 外部合作網絡 22
第五節、 政府研發補助計劃 27
第三章、 研究方法 34
第一節、 研究架構 34
第二節、 研究變數定義與衡量 35
第三節、 研究樣本和資料來源 39
第四節、 實證方法 40
第四章、 實證結果研究與分析 43
第一節、 敘述性統計分析 43
第二節、 相關性統計分析 45
第三節、 多元迴歸分析 47
第五章、 研究結論與建議 54
第一節、 研究結論 54
第二節、 策略意涵 57
第三節、 研究貢獻 63
第四節、 研究限制 64
第五節、 未來研究建議 65
第六章、 參考文獻 67
 

Aerts, K., Czarnitzki, D. (2004). Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belguim. ZEW DIscussion Paper, 04-55.
Anderson T., & Wakov S. (1961). Organizational Size and Functional Complexity: A Study of Administration in Hospitals. American Sociological Review, 26, 23-28.
Baron, R. M., & Kenny, D. A. . (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Baum, J. A. C., Calabrese, T., & Silverman, B. S. (2000). Don't go it alone: Alliance network composition and startups' performance in Canadian biotechnology. Strategic Management Journal, 21(3), 267-294. doi: 10.1002/(sici)1097-0266(200003)21:3<267::aid-smj89>3.0.co;2-8
Bluedorn, A.C. (1993). Pilgrim's progress: Trends and convergence in research on organizational size and environments. Journal of Management, 19, 163-191.
C. Lee, K. Lee, J. M. Peenings. (2001). Internal capabilities, external networks, and performacne: A study on technologybased ventures. . Strategic Management Journal, 22, 615-640.
Chang, Y. C. (2003). Benefits of co-operation on innovative performance: evidence from integrated circuits and biotechnology firms in the UK and Taiwan. R & D Management, 33(4), 425-437. doi: 10.1111/1467-9310.00308
Czarnitzki D., Ebersberger B., Fier A. (2007). The Relationship between R&D Collaboration, Subsidies and R&D Performance: Empirical Evidence from Finland and Germany. Journal of Applied Econometrics, 22(7), 1347-1366.
Czarnitzki, D., Hussinger, K. (2004). The Link Between R&D Subsidies, R&D Spending and Technological Performance. ZEW DIscussion Paper, 04-56.
Czarnitzki, D., Light, G. (2006). Additionality of public R&D grants in a transition economy. The Economics of Transition, 14(1), 101-130.
Darby, M. R., Liu. Q., Zucker, L.G. (1999). Stake and stars: the effect of intellectual human capital on the level and variability of high-tech firms` market valus. UCLA working papar.
Diamond, A.M. (1999). Does Federal Funding “Crowd In” Private Funding of Science? Contemporary Economic Policy, 17(4).
Ebersberger, B. (2005). The Impact of Public R&D Funding.
Ettlie, J. (1998). R&D and Global Manufacturing Performance. 44, 1(1).
Fusfeld, H., Peter, L. (1982). University industry research relationships. National Science Foundation.
G. Georgea, S.A. Zahrab, D. Robley Wood. (2002). The effects of business–university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies. Journal of Business Venturing, 17, 577-609.
Geisler, E., Rubenstein, A. (1989). University-Industry Relations: A Review of Major Issues. Cooperative Research: New Strategies for Competitiveness, New York: ST. Martin Press, p43-62.
Graves, S. B., & Langowitz, N. S. (1993). Innovatice productivity and returns to scale in the pharmaceutical industry. Strategic Management Journal, 14(8), 593-605. doi: 10.1002/smj.4250140803
Guo, W. C., Shiah-Hou, S. R., & Chien, W. J. (2012). A study on intellectual capital and firm performance in biotech companies. Applied Economics Letters, 19(16), 1603-1608. doi: 10.1080/13504851.2011.646062
Hagedoorn, A. and Schakenraad, J. . (1990). Inter-firm partnerships and co-operative strategies in core technologies. In: Freeman, C. and Soete, L. (eds), New Explorations in the Economics of Technical Change. London: Pinter.
Hall, L, Bagchi-S. (2002). A study of R&D, innovation, and business performance in the Canadian biotechnology industry. Technovation, 22(4), 231-244. doi: 10.1016/s0166-4972(01)00016-5
Hand, John R. M. (2001). The market valuation of biotechnology firms and biotechnology R&D. Kenan-Flagler Business School UNC Chapel Hill.
Kang, K. N., & Lee, Y. S. (2008). What affects the innovation performance of small and medium-sized enterprises (SMEs) in the biotechnology industry? An empirical study on Korean biotech SMEs. Biotechnology Letters, 30(10), 1699-1704. doi: 10.1007/s10529-008-9745-y
Karlsson, C. (2003). The development of industrial networks: challenges to operations management in an enterprise. International Journal of Operations and Production Management, 23(1), 44-61.
Koga, T. (2005). R&D Subsidy and Self-Financed R&D: The Case of Japanese Hig-Technology Start-Ups. Small Business Economics, 24(1).
Koschatzky, K., Sternberg, R. (2000). R&D cooperation in innovation systems-some lessons from the european regional innovation survey. European Planning Studies, 8(4), 487-501.
Kyung-Nam Kang, Yoon-Sik LEe. (2008). What affects the innovation performance of small and medium-sized enterprises (SMEs) in the biotechnology industry? An empirical study on Korean biotech SMEs. Biotechnology Letters, 30(10), 1699-1704.
Langvik, T.A., Johansen, F.R., Callise, F., Normann, S., Thoresen, J. (2005). Innovation and regional development. AI & Soc, 19, 384-406.
Lee, M., Om, K. (1994). A Conceptual Framework of Technological Innovation Management. Technovaiton, 14(1), 7-16.
Lev, Baruch, Sougiannis, Theodore (1996). The capitalization, amortization, and value-relevance of R&D. . Journal of Accounting and Economics, 21, 107-138.
Liebeskind, J. P., Oliver, A. L., Zucker, L., Brewer, M. (1996). Social networks, learning, and flexibility: sourcing scientific knowledge in new biotechnology firms. Organization Science, 7(4), 428-443.
Lin, J. L. . (2009). Network embeddedness and technology transfer performance in R&D consortia in Taiwan. 29, 11(763-774).
Linda A. Hall, S. Bagchi-Sen. (2007). An analysis of firm-level innovation strategies in the US biotechnology industry. Technovation, 27.
Mody, Ashoka. (1993). Learning through alliances. . Journal of Economic Behavior & Organization, 20, 151-170.
Nicholson, S., Danzon, P. M., & McCullough, J. (2005). Biotech-pharmaceutical alliances as a signal of asset and firm quality. Journal of Business, 78(4), 1433-1464. doi: 10.1086/430865
Osawa, Y., Murakami, M. (2002). Development and Application of a New Methodology of Evaluating industrial R&D Project. R&D Management, 32(91), 79-85.
Patel P., Pavitt, K. (1995). The Nature and Economic importance of National Innovatino Systems. STI Review, 14, 9-32.
Powell, Koput, Smith-Doerr, Owen-Smith. (1999). Network Position and Firm Performance: Organizational Returns to Collaboration in the Biotechnology Industry. In: Andrews, S., Knoke, D. (Eds.), Networks in and Around Organizations. JAI Press, Greenich, CT.
Powell., Brantley. (1992). Competitive cooperation in biotechnology: learning through networks? In: Nohria, N., Eccles, R.G. (Eds.), Network and Organizations: Structure, Form and Action. Harvard Business School Press, Boston, pp. 366–394.
Price, D. de Solla. (1984). The Science/ Technology/ Relationship, the Craft of Experimental Science and Policy for the Improvement of High Technology Innovation. . Research Policy, 13(1), 3-20.
Robsob, M. (1993). Federal Funding and the Level of Private Expenditures on Basic Research. Southern Ecnomic journa, 60(1), 63-71.
Rothaermel, F.T. (2001). Incumbent`t advantage through exploiting complmentay assets vua interfirm cooperation. Strategic Management Journal, 22, 687-699.
Sher, P., Yang, P. (2005). The Effects of Innovative Capabilities and R&D Clustering on firm Performance: The Evidence of Taiwan's Semiconductor Industry. Technovation, 23(5), 33-43.
Shera, P. J., Yang, P. Y. . (2005). The effects of innovative capabilities and R&D clustering on firm performance: the evidence of Taiwan’s semiconductor industry. Technovation, 25(1), 33.
Sinha, D.K. and Cusumano, M.A. (1991). Complementary Resources and Cooperative Research: A Model of Research Joint Ventures among Competitors. . Management Science, 37(9), 1091-1106.
Steinmueller, E. (2001). The economic benefits of publicly funded basic research: a critical review. Research Policy, 30(3), 509-532.
Tsai, Kuen-Hung, Wang, Jiann-Chyuan (2004). The R&D performance in Taiwan’s electronics industry: a longitudinal examination. 34, 2.
Zan, H., Chen, H., Li, X., Roco, M. (2006). Connecting NSF Funding to Patent Innovation in Nanotechnology. Journal of Nanoparticle Research, 8(6), 859-879.
Zucker, L. G., Darby, M. R., & Brewer, M. B. (1998). Intellectual human capital and the birth of US biotechnology enterprises. American Economic Review, 88(1), 290-306.
Zukin, S., Dimaggio, P. (1990). Structures of capital: the social organization of the economy. Cambridge:University Press.
林建憲. (2007). 政府研發補助對於研發績效之影響 -以工業局輔導案為例. 台灣大學經濟學研究所碩士論文.
林淑雯. (2010). 地區環境、網絡與廠商研發投入-台灣製造業的實證分析. Journal of Planning, 36, 1-22.
郭俊男. (2004). 研發專案投入對技術產出及財務績效影響之研究-以主導性新產品開發計畫為例. 國立政治大學會計研究所碩士論文.
陳悅宜. (2008). 政府研發補助與企業創新活動之關係 -以業界開發產業技術計畫為例. 國立臺北大學企業管理學系博士論文.
黃月盈. (2010). 政府研發資助對廠商研發績效之影響－台灣製造業與服務業比較. 台灣大學經濟學研究所 碩士論文.
黃國綱、鄭秀玲. (2005). 政府資助的產業創新活動:以工研院科專計畫為例. 人文及社會科學集刊.
黃啟瑞. (2004). 策略聯盟類型與廠商績效之研究 —以我國生技公司為例. 台灣大學國際企業研究所博士論文.
劉正田. (2001). 研發支出資本化之會計基礎股票評價. 會計評論, 33(1).
謝佳珍. (2006). 研發支出對公司績效反應之效率性研究─以美國生物科技產業為例. 元智大學會計學系碩士論文.
2012 台灣生技產業白皮書
台灣經濟研究院 生物科技產業研究中心 生技產業年度調查統計結果（http://www.biotaiwan.org.tw/page/core3-4.htm）