本研究嘗試以1985年1月1日至2017年12月31日期間，新竹科學工業園區之所有存在與曾經存在的103家生技產業廠商及總退出的27家生技產業廠商作為研究的對象，進行存活度實證分析。研究結果發現，大型廠商相較於中小型廠商存活機率會比較高，平均存活時間為20.38年，具研發成效廠商相較於不具研發成效廠商存活機率會比較高，平均存活時間為21.95年，附屬廠商相較於獨立廠商存活機率會比較高，平均存活時間為22.12年。總而言之，經濟規模大、具研發成效、以及廠商型態為附屬廠商，則存在較低的退出風險。
依據研究結果，資源依賴理論的兩項假設無法獲得支持。但是，資源依賴理論強調，組織在所處的環境必須獲得掌控度，降低對環境之依賴性，增強廠商的自主性，而母公司或FDI 為尋求自身或短期的利益。因此，生技廠商若要降低廠商經營風險，必須以自主經營之理念取得資源，以維持更好的存活機率。

This study attempts to empirically analyze the survival of the biotechnology industry in the Hsinchu Science Park, since between 1 January 1985 to 31 December 2017, a total of 103 biotechnology manufacturers, 27 of which have exited. The study found that manufacturers with large economic scales have higher survival rates than those with small and medium-sized economies, and the average survival time is 20.38 years. The survival rate of manufacturers with research and development performance is higher than that of non-research and development companies, and the average survival time is 21.95 years. Affiliates vendors have a higher survival rate than independent vendors, with an average survival time of 22.12 years. In short, the economic scale of biotech manufacturers, research and development results, and vendor types are affiliated vendors, there is a lower risk of exit.
According to the research results, the resource-dependent hypothesis cannot be supported. However, resource dependence emphasizes that the organization must be in control of its environment, reduce its dependence on the environment, and enhance the autonomy of the manufacturer, while the parent company or FDI seeks its own or short-term benefits. Therefore, if biotech manufacturers want to reduce the risk of business operations, they must obtain resources with the concept of self-management to maintain a better chance of survival.

英文文獻
1.Baum, J. A. C. (2005). “The Blackwell companion to organizations.” Blackwell　Publishing.
2.Burke, A., Görg, H., and Hanley, A. (2008). “The impact of foreign direct investment on new firm survival in the UK: evidence for static versus dynamic industries.” Small Business Economics, 31(4), 395-407.
3.Carroll, G. R., (1985). “Concentration and specialization: dynamics of niche width in population of organizations.” American Journal of Sociology, Vol. 91: 1626-1683.
4.Casciaro, T., and Piskorski, M. J. (2005). “Power imbalance, mutual dependence, and constraint absorption: A closer look at resource dependence theory.” Administrative science quarterly, 50(2): 167-199.
5.Disney, R., J. Haskel, and Y. Heden. (2003) “Entry, exit and establishment survival inUK Manufacturing.” Journal of Industrial Economics 51: 91-112.
6.Fotopoulos, G., & Louri, H. (2000) “Location and survival of new entry.” Small Business Eeconomics, 14(4): 311-321.
7.Fotopoulos, G., & Louri, H. (2000) “Determinants of hazard confronting new entry: does financial structure matter?. ” Review of Industrial Organization, 17(3): 285-300.
8.Görg, H , and Eric Strobl. (2004) “Foreign direct investment and local economic development: beyond productivity spillovers in the impact of foreign direct investment on development: new measurements, new outcomes, new policy approaches.” Institute for International Economics Workshop on Washington DC.
9.Hannan, M. T., and Freeman, J. (1989). “Organizations and social structure.” Organizational ecology : 3-27.
10.Institute Report. (2018) “2018 and Beyond: Outlook and Turning Points.” IQVIA, March 13.
11.Jensen, Paul H., Elizabeth Webster, and Hielke Buddelmeyer, (2006) “Innovation,　Technological Conditions and New Firm Survival.” Melbourne Institute of　Applied Economic and Social Research: 434-448.
12.Kaniovski, S., Peneder, M., & Smeral, E. (2008) “Determinants of firm survival in the Austrian accommodation sector.” Tourism Economics, 14(3): 527-543.
13.Pfeffer, J. and Salancik, G. R. (1978). “A social information processing approach to job attitudes and task design.” Administrative science quarterly: 224-253.
14.Segarra, A., & Callejón, M. (2002) “New firms' survival and market turbulence: New evidence from Spain.” Review of industrial Organization, 20(1): 1-14.
15.Tveterås, R., & Eide, G. E. (2000). “Survival of new plants in different industry environments in Norwegian manufacturing: As semi-proportional Cox model approach.” Small Business Economics, 14(1): 65-82.

中文文獻
16.工研院產業經濟研究中心，2017，2017 醫療器材產業年鑑。
17.王盈智，2007，高科技廠商的存活風險分析: 以竹科廠商為例。政治大學社會學研究所學位論文。
18.林建甫，2008，存活分析。雙葉書廊.。
19.林明震，2010，對外投資與海外生產對產業升級之影響-台灣傳統產業與高科技產業的比較。臺灣大學經濟學研究所學位論文。
20.安士敦與瞿宛文，2003，超越後進-台灣的產業升級策略。台北市: 聯經出版社。
21.吳秋梅，2012，生技醫療產業研發費用、專利權與公司市場價值之攸關性研究。中正大學會計與資訊科技學系學位論文。
22.財團法人生物技術開發中心，2017，製藥產業年鑑2017。
23.財團法人生物技術開發中心，2017，應用生技產業年鑑2017。
24.陳端容與范國棟，2007，醫師生涯路徑選擇相關因素的事件使分析-醫師職場階級化的效應。台灣社會學刊，38，頁105-133。
25.新竹科學園區，2017，2017年新竹科學工業園區年報。
26.勤業眾信聯合會計師事務所，2018，2018年生技醫療產業展望。
27.鍾憲瑞與陳俊忠，2006，大者恆大嗎? 規模與擴張傾向間關係的檢視。 管理學報，23(1)，頁45-61。
28.薛承泰，2000，台灣地區已婚婦女再就業時機的初步分析。人口學刊，21，頁77-99。
29.謝存瑞、鍾憲瑞與羅萱，2010，規模、集團隸屬與擴張積極性。中山管理評論，18(3)，頁837-861。
30.鄭東辰，2006，存活分析應用於研發投資決策之研究-以全球前十大軸承公司為例。國立成功大學高階管理碩士專班碩士論文。
網際網路
31.中華民國內政部戶政司，全國人口資料庫統計地圖，https://gis.ris.gov.tw/index.html。
32.社團法人中華民國學名藥協會問答集，http://www.tgpa.org.tw/page/about/index.aspx?kind=32
33.經濟部工業局工廠公示資料查詢系統，https://serv.gcis.nat.gov.tw/Fidbweb/index.jsp