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研究生:李宜芳
研究生(外文):Yi-Fang Li
論文名稱:產業競爭與公司創新之關聯性研究-以臺灣服務產業分析
論文名稱(外文):The Relationship Between Competition and Innovation in the Taiwanese Service Sector
指導教授:洪子逸洪子逸引用關係
口試委員:吳斯偉洪志銘
口試日期:2013-07-03
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:服務與科技管理研究所
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:67
中文關鍵詞:創新競爭關係
外文關鍵詞:InnovationCompetitionRelationship
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  • 被引用被引用:0
  • 點閱點閱:253
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  • 下載下載:32
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本研究目的在於了解競爭和創新之關係。競爭與創新之關係已經被關注多年,但卻莫衷一是。本研究將著重在臺灣整體服務業上,運用專利和R&D營業額作為創新輸出的代理變數,以及運用HHI當作競爭的代理變數,來探討在服務業中競爭和創新間之關係。本研究使用縱橫迴歸、卜瓦松迴歸及負二項迴歸來調查。結果顯示在服務業中,創新與競爭呈現輕微的U型關係。本研究提供台灣服務業實證證據,以協助釐清創新和競爭之關係。

The purpose of this study is to investigate the relationship between competition and innovation. This complex relationship have been attracted the attention for several decades. This research adopts the patent and R&D turnover as the proxy for the innovation outputs; the HHI is the proxy for the competition. This study explores the relationship in the Taiwanese service sector by using the Panel, Poisson, and Negative-binominal regressions. The results indicate that the relationship between innovation and competition may be a mild U relationship. The contribution of the study helps clarify the relationship in the Taiwanese service sector.

ABSTRACT i
摘要 ii
誌 謝 iii
CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES vii
Chapter 1 INTRODUCTION 1
1.1 Research Motivation and Purpose 1
1.2 The Organization of Research 3
Chapter 2 LITERATURE REVIEW 5
2.1 Innovation 5
2.2 Competition 8
2.3 The Relationship Between Competition and Innovation 11
2.4 Background of the Taiwanese Service Sector 15
2.5 Summary 19
Chapter 3 METHDOLOGY 20
3.1 Databases 20
3.2 Measuring Variables 22
3.2.1 Patent 23
3.2.2 R&D Turnovers 23
3.2.3 Competition 24
3.2.4 R&D Expenditure 24
3.2.5 Sales Amount 25
3.2.6 Firm Size 25
3.2.7 Distance to the Technology Frontier (DTF) 26
3.3 Model 28
3.4 Regression Method 29
3.4.1 Panel Regression 29
3.4.2 Possion Regression 30
3.4.3 Negative Binominal Regression 31
Chapter 4 RESULTS AND DISUSSION 32
4.1 Descriptive Statistics 32
4.2 Correlation Analysis 33
4.3 Regression Results by Possion and Negative Binominal Regression 36
4.4 Regression Results by Panel Regression 42
4.5 Regression Results with Dummy Variables Across Regression Methods 48
4.6 Summary 52
Chapter 5 CONCLUSION 53
REFERENCES 55
APPENDIX 62


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