本文分析知識外溢效果對廠商創新能力的影響，有別於過去文獻多使用波松迴歸與負二項迴歸估計專利申請數，本文採用Greene(1994；2012)提出的零膨脹負二項迴歸模型(（zero-inflated negative binomial regression，簡稱ZINB）分析之。研究資料採用台灣資訊電子工業2000年至2017年資料分析科學園區外溢效果(國內)與外國直接投資(Inward Foreign direct investment)外溢效果(國外)對廠商創新表現的影響。實證結果顯示，科學園區外溢效果以及外國直接投資(FDI)外溢效果分別對廠商的專利申請數目有正向顯著影響。
後續加入其他延伸探討，將廠商規模以資本存量與研發強度作分群，進一步分析不同資本規模及研發強度下的廠商，其科學園區外溢效果及外國直接投資(FDI)外溢效果是否有所不同。估計結果顯示資訊電子工業製造公司的資本規模為大廠、中小廠及小廠時，以及研發強度越強的廠商，其科學園區外溢效果為正向顯著，對廠商創新能力有正向顯著影響，而資本規模為中廠時，對廠商創新能力無顯著影響；在FDI外溢效果方面，廠商資本規模越大、研發強度越強時，其外國直接投資(FDI)外溢效果越大越顯著，對廠商創新能力有正向顯著影響。

This paper examines the impact of technology and FDI spillovers on firm innovation performance for Taiwan’s High-tech firms. The empirical analysis uses the frim-level data from the TEJ database during the period 2000-2017 combined with patent data. In order to solve the problem of overdispersion and zero-inflation, we use zero-inflated negative binomial regression. The empirical results show that both technology and FDI spillovers have a positive impact on the number of firms’ patent applications. The spillover effects are larger for small-sized firms relative to large firms. In addition, the stronger the firm’s R&D intensity is, the more spillover effect is.

楊志海、陳忠榮(2002)，「研究發展，專利與生產力－台灣製造業的實證研究」經濟論文叢刊，第30卷1期，頁27-48。
陳忠榮、徐志偉(2014)，「研發、授權支出與專利」，台灣產業的轉型與創新，頁247-275
林惠玲、詹立宇與謝玉玫(2009)，「產業聚集與廠商研發活動之研究─台灣電子業廠商之驗證」，人文及社會科學集刊，第21卷第4期，頁521-554
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