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研究生: 林湘琪
論文名稱: Market Structure and R&D Investment: an Empirical Study on Taiwanese Manufacturing Industry
競爭與廠商創新投資-台灣製造業之實證研究
指導教授: 李宜
Lee,Yi
口試委員:
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 經濟學系
Department of Economics
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 50
中文關鍵詞: R&D投資創新市場競爭
外文關鍵詞: R&D investments, Innovation, Competition
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  • How does product market competition affect innovation? It is widely be-
    lieved that there exist two opposite effects in market; one is Schumpeterian effect
    stating that competition attenuates the innovative incentive of laggard firms and
    the other is escape-competition effect depicting that competition urges neck-and-
    neck firms to innovate. Based on Ahigon’s model (2005), this article applies Tai-
    wanese manufacturing industry data from 1997 to 2004 and confirms that there
    exists an inverted-U shaped relation between competition and innovation. And
    the R&D-size relation is positive in Taiwan which is consistent with Schumpeter’s
    hypothesis. Unexpectedly, firm experience has a negative effect on innovation in
    Taiwanese electronics industries since the life cycle of their products is relatively
    shorter. Hence, younger firms invest more in R&D for the sake of taking the pre-
    emptive competitive position. In addition, we show a strong evidence that internal
    R&D investments and external technology outsourcing are complementary to each
    other in Taiwanese manufacturing firms.


    1 Introduction 7 2 Literature Review 11 2.1 Monotonic Relation . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2 Non-monotonic Relation . . . . . . . . . . . . . . . . . . . . . . . . 12 2.3 Inverted-U Shaped Relation between PMC and Innovation: Escape- competition effect & Schumpeterian effect . . . . . . . . . . . . . . 14 3 The Data 17 3.1 Basic Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.2 Measuring Innovation . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.3 Independent Variables . . . . . . . . . . . . . . . . . . . . . . . . . 22 4 Methodology & Empirical Results 27 4.1 Introduction of Tobit Model . . . . . . . . . . . . . . . . . . . . . . 27 4.2 Theoretical Prediction and Empirical Results . . . . . . . . . . . . . 28 4.2.1 Probit Model . . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.2.2 Tobit Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 5 Concluding Remarks 39 References 42 Appendix 47 .1 Details about the Lerner Index . . . . . . . . . . . . . . . . . . . . 47 .2 Marginal Effect of Tobit Model . . . . . . . . . . . . . . . . . . . . 48 .3 The Amount of R&D Expenditure . . . . . . . . . . . . . . . . . . . 50

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