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  • 學位論文

探討新興工業化國家的創新績效決定因素-以台灣半導體產業為例

What factors determine innovation performance in newly industrialized economies? Evidence from Taiwanese semiconductor industry

指導教授 : 許文忠

摘要


儘管已經有許多關於產業聚落、海外直接投資、研發強度及外國資本投入的相關文獻,協助並增進本研究對於創新績效決定因素的了解,然而很少有研究將以上這些因素連結在一起進行研究。因此,本研究將整合這些因素的理論發展,目的是為了能夠從更多面向來建立觀念架構,以期更完整的解釋影響新興工業化國家創新績效的決定因素。本研究以台灣半導體產業為探討對象,並經實證分析顯示產業聚落、海外直接投資、研發強度及外國資本投入對於創新績效有顯著的解釋能力,然而,本研究也發現這些因素並不是一直對創新績效有顯著的影響,因為這些因素對創新績效的影響效果會受到科技機會(technological opportunities)、外資持股程度(the level of foreign presence)和產業聚落(cluster)所影響,意味著之前針對於產業聚落、海外直接投資、研發強度及外國資本投入的整合性研究結果可能並不完整,本研究則進一步再以科技機會、外資持股程度及產業聚落的分群下,來探討這些因素與創新績效的關係。

並列摘要


Although the literatures on cluster, foreign direct investment, R&D intensity and foreign capital have assisted significantly in improving our understanding regarding the determinants of innovation performance, there has been little research concerning the way in which each informs the other. Integrating theoretical developments from all four literatures, we propose and test a multidimensional conceptual framework that allows us to explain more fully what determines innovation performance in newly industrializing economies. Take semiconductor industry-level dataset in Taiwan for example, the empirical analysis indicates that it has significant power in explaining variations in innovation performance. Nevertheless, our findings also show that factors such as cluster, foreign direct investment, R&D intensity and foreign capital do not always have positive consequences. However, they indicate that their effects are moderated by technological opportunities、the level of foreign presence and cluster, implying that previous mixed findings regarding the role of cluster, foreign direct investment, R&D intensity and foreign capital may be the result of incomplete theorizing about the factors that moderate the relationship between innovation performance and these factors.

並列關鍵字

innovation performance FDI R&D industry cluster

參考文獻


? 英文文獻
1. Allie, K.L., A.Q.Khan and G.G. Ramirez (1993). “ The Pecking order hypothesis: Australian evidence”, Finance Economics, 3, 101-112.
2. Archibugi, D, Pianta, M. (1996). “Measuring Technological Change through Patents and Innovation Surveys”. Technovatio., 19(9),451-68.
3. Audretsch, D. B. & Feldman, M.P.(1996). “R&D Spillovers and Geography of Innovation and Production”, American Economic Review, 83(3), 630-645.
4. Baseberg, B.L. (1987). “Patents and the Measurement of Technological Change: A Survey of the Literature”, Research Policy, 16, 131-141.

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