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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳達仁 | |
| dc.contributor.author | Chi Wu | en |
| dc.contributor.author | 吳綺 | zh_TW |
| dc.date.accessioned | 2021-06-08T02:02:31Z | - |
| dc.date.copyright | 2016-06-11 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2016-05-03 | |
| dc.identifier.citation | 1.Hall, B.H., A.B. Jaffe, and M. Trajtenberg, Market value and patent citations: A first look. 2000, national bureau of economic research.
2.Griliches, Z., The search for R&D spillovers. 1991, National Bureau of Economic Research. 3.Harhoff, D., R&D and productivity in German manufacturing firms. Economics of Innovation and New Technology, 1998. 6(1): p. 29-50. 4.Sher, P.J. and P.Y. Yang, The effects of innovative capabilities and R&D clustering on firm performance: the evidence of Taiwan's semiconductor industry. Technovation, 2005. 25(1): p. 33-43. 5.Ziedonis, R.H. and B.H. Hall, The effects of strengthening patent rights on firms engaged in cumulative innovation: insights from the semiconductor industry. Entrepreneurial Inputs and Outcomes: New Studies of Entrepreneurship in the United States, 2001. 13. 6.Stolpe, M., Determinants of knowledge diffusion as evidenced in patent data: the case of liquid crystal display technology. Research Policy, 2002. 31(7): p. 1181-1198. 7.Hirsch, J.E., An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences of the United States of America, 2005. 102(46): p. 16569-16572. 8.Guan, J.C. and X. Gao, Exploring the h‐index at patent level. Journal of the American Society for Information Science and Technology, 2009. 60(1): p. 35-40. 9.Kuan, C.-H., M.-H. Huang, and D.-Z. Chen, Ranking patent assignee performance by h-index and shape descriptors. Journal of Informetrics, 2011. 5(2): p. 303-312. 10.Deng, Z., B. Lev, and F. Narin, Science and technology as predictors of stock performance. Financial Analysts Journal, 1999. 55(3): p. 20-32. 11.Chin, C.-L., et al., Patent citation, R&D spillover, and Tobin's Q: evidence from Taiwan semiconductor industry Review of Quantitative Finance and Accounting, 2006. 26(1): p. 67-84. 12.Griliches, Z., Market value, R&D, and patents. Economics letters, 1981. 7(2): p. 183-187. 13.Hall, B.H., The private and social returns to research and development. Technology, R&D, and the Economy, 1996. 140: p. 162. 14.Anandarajan, A., et al., The effect of innovative activity on firm performance: The experience of Taiwan. Advances in Accounting, 2007. 23: p. 1-30. 15.Hall, B.H., A.B. Jaffe, and M. Trajtenberg, The NBER patent citation data file: Lessons, insights and methodological tools. 2001, National Bureau of Economic Research. 16.Chang, C. and S. Robin, Doing R&D and/or importing technologies: The critical importance of firm size in Taiwan’s manufacturing industries. Review of Industrial Organization, 2006. 29(3): p. 253-278. 17.Chen, Y.-S. and K.-C. Chang, The relationship between a firm's patent quality and its market value—the case of US pharmaceutical industry. Technological Forecasting and Social Change, 2010. 77(1): p. 20-33. 18.Chang, K.-C., D.-Z. Chen, and M.-H. Huang, The relationships between the patent performance and corporation performance. Journal of Informetrics, 2012. 6(1): p. 131-139. 19.Li, Y.-T., M.-H. Huang, and D.-Z. Chen, Positioning and shifting of technology focus for integrated device manufacturers by patent perspectives. Technological Forecasting and Social Change, 2014. 81: p. 363-375. 20.Hsiao, C., Analysis of panel data. Vol. 54. 2014: Cambridge university press. 21.Y.-T. Li, et al. (2013). Positioning and shifting of technology focus for integrated device manufacturers by patent perspectives. Technological Forecasting & Social Change 22.Gattiker, U. E. (1990). Technology management in organization. Sage, CA. 23.Bill Cheng(2003). Patenting Behavior and Market Value Evidence from the Global Semiconductor Industry. 24.台灣大學經濟學系,陳旭昇博士,時間序列分析--總體經濟與財務金融之應用http://homepage.ntu.edu.tw/~sschen/Book/Slides.htm 25.Huang, Cheng Jen(2007), The Determinants and Performance of R&D cooperation: Evidence from Taiwan’s High-Technology Industries. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19507 | - |
| dc.description.abstract | 本研究使用具時間序列與橫斷面縱橫資料的廻歸分析方法，探討2005-2014年，在美國專利資料庫中，以美國經濟研究院NBER歸類之半導體製造的樣本公司，利用其核准專利數資料，以及利用Datastream財金資料庫之公司財務資料與產業現況資料，統計專利h指標累積變化率及考量廠商間進行研發合作的研發產出對於公司市場價值之總體影響。
本研究驗證兩項與研發費用與專利品質對於市場價值相關的假說。比較固定效果模型與隨機效果模型結果，以隨機效果模型之解釋力為佳。研究結果顯示，半導體產業中，當廠商研發費用花費的越多，其產出專利的品質越高。當廠商的研發費用與其專利品質間直接關係越強烈，也越能有效衡量其公司市場價值，加入考慮研發產出之下，公司市場價值衡量的有效性提升。 | zh_TW |
| dc.description.abstract | In this study, an associated research using the regression analysis method of time series and cross section was to gather statistics of H index analyzed by granted patents from the value of the empirical firm returning and patent index in 2005 to 2012. The empirical companies were samples from the NBER classified semiconductor manufacturing industry and then analyzed their firm market value return with the financial data from Datastream database and the R&D outputs.
This research develop two hypothesis about research and development, the quality of patent and the relationship with the market value. This study framework with panal data model verified that the optimization of the random effect model was better than the others. The empirical results indicated that the R&D outputs and h index have a comprehensive effect on market value in the semiconductor industry. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T02:02:31Z (GMT). No. of bitstreams: 1 ntu-104-R02546031-1.pdf: 2551148 bytes, checksum: c76db156002dba7c63e5354c0a86e4b1 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 第1章 緒論 8
1.1研究動機與背景 8 1.2半導體產業現況 9 1.2.2半導體廠商間策略聯盟 12 1.3研究目的 13 1.4研究流程與方法 14 第2章 文獻回顧 17 2.1研發費用與專利指標間關係 17 2.1.1定義創新活動 17 2.1.2專利指標 17 2.2研發外溢效果 19 2.3研發合作與賽局理論 20 2.3.1賽局理論基礎 20 2.3.2供應鏈與經濟領域的賽局 20 2.3.3研發合作賽局 20 2.4市場價值衡量 23 2.4.1從創新活動的投入面來探討對於公司市場價值的影響 23 2.4.2從創新活動的產出面來探討對於公司市場價值的影響 23 2.4.3市值的代理變數 24 2.5橫斷面時間序列模型 24 2.5.1固定效果模型與隨機效果模型 25 2.5.2 最適橫斷面時間序列模型檢定 27 2.6問題延伸 29 2.7建立研究假說 31 第3章研究方法 35 3.1樣本公司選取 35 3.1.1十三家晶圓代工廠 36 3.1.2 Data 37 3.2變數定義 41 3.2.1專利品質h指標(Guan,2009;Hirsch,2005) 41 3.2.3控制與反應變數 43 3.3三階段之古諾賽局 44 3.4.1產出階段 46 3.4.2研發階段 47 3.4.3研發合作情境 48 第4章 研究結果分析 51 4.1模型求解流程 51 4.2關聯性分析 52 4.3廻歸模型建立與分析 53 4.3.1Panel Data單根檢定 53 4.3.2廻歸模型適用判定 53 第五章 結論與建議 55 5.1研究結果驗證 55 5.2研究結論與建議 59 參考文獻 60 附錄1 62 附錄2 67 附錄3 70 | |
| dc.language.iso | zh-TW | |
| dc.title | 研發費用、外溢效果與專利品質對於市場價值之影響：以半導體晶圓代工廠商為例 | zh_TW |
| dc.title | R&D Expenditure, Spillover Effect, Patent Quality and Market Value − A Case Study of Foundries in Semiconductor Industry | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃慕萱,吳宗明,翁順裕 | |
| dc.subject.keyword | 專利h指標,公司市值,研發產出,縱橫資料, | zh_TW |
| dc.subject.keyword | h index,firm market value,R&D output,panal data, | en |
| dc.relation.page | 71 | |
| dc.identifier.doi | 10.6342/NTU201600228 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2016-05-04 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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