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題名 專利權轉讓與專利引用關聯之探討-以太陽能電池技術為例
The Relation between Patent Assignment and Patent Citations - The Case of Solar Cell Technology
作者 劉又瑋
Liu, Yu-Wei
貢獻者 李浩仲<br>李文傑
Li, Hao-Chung<br>Lee, Wen-Chieh
劉又瑋
Liu, Yu-Wei
關鍵詞 太陽能電池
專利引用
專利權轉讓
核心專利
Solar cell
Patent citation
Patent assignment
Core patent
日期 2021
上傳時間 4-Aug-2021 15:57:48 (UTC+8)
摘要 　　專利除了能排除他人模仿技術生產商品，還能將技術商品化進行轉讓作為技術移轉策略。本文即探討專利權轉讓意願的決定因素，使用專利引用關係網路分析美國專利局1980年到2020年的太陽能電池專利，區分出核心專利與得出專利引用所衡量的特性，專利新穎性與專利影響力，研究結果發現核心專利會因專利申請人類型對於專利轉讓有不同影響，私人公司所申請的核心專利提高轉讓機率，而學校或研究機構所申請之核心專利降低轉讓機率。
Patents are used to be the fence for technology imitation. However, it is less noticed that technology transfer can also be expedited by patent assignment in the market. This article discusses the determinants of the willingness to patent assignment, uses the patent citation relationship network to analyze the solar cell patents of the United States Patent and Trademark Office dataset from 1980 to 2020 to distinguish core patents and derive the characteristics measured by patent citations - patent novelty and patent influence. We find that core patents have different effects on the willingness to patent assignment depending on the type of patent applicant. Core patents applied by firms increase the assignment probability, while core patents applied by schools or research institutions reduce the assignment probability.
參考文獻 中文文獻
張景淳 (2019)。國家能源政策評析報告：韓國2019 年版。新竹：工業技術研究院綠能與環境研究所。
鄭依涵 (2020)。產學研發外溢效果與廠商表現。政治大學碩博士生論文。
樊晉源、林品華、張書豪、洪文琪與陳曉郁 (2015)。太陽能電池產業技術與標準初探。台北：財團法人國家實驗研究院科技政策研究與資訊中心。
鄭詠文、林峯州、鄭宇辰、蕭盛澤與王耿斌 (2019)。太陽光電產業專利趨勢分析。智慧財產權月刊。247，51-80。

英文文獻
A. D. Marco, G. Scellato, E. Ughetto & F. Caviggioli. (2017). Global markets for technology: Evidence from patent transactions, Research Policy, vol. 46, no. 9, pp. 1644-1654.
Aghion, Philippe, Nicholas Bloom, Richard Blundell, Rachel Griffith & Peter Howitt. (2005). Competition and Innovation: An Inverted U Relationship. Quarterly Journal of Economics, 120 (2), 701–728.
Batagelj V. (2003). Efficient Algorithms for Citation Network Analysis. Preprint Series, 41.
Bloom, N., Schankerman, M. & Reenen, J. V. (2013). Identifying Technology Spillovers and Product Market Rivalry. Econometrica, 81(4), pp. 1347-1393.
Bp p.l.c. (2020). bp Statistical Review of World Energy 2020. London: Bp p.l.c.
Connolly, R.A. & Hirschey, M. (1988). Market Value and Patents: A Bayesian Approach. Economics Letters, Vol. 27, pp. 83.
Griliches, Z. (1990). Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature, 28, 1661–1707.
Howell, Sabrina T. (2017). Financing Innovation: Evidence from R&D Grants. American Economic Review, 107 (4): 1136-64.
Huang, Hung-Chun & Su, Hsin-ning & Shih, Hsin-Yu. (2018). Analyzing Patent Transactions with Patent-based Measures. 1-12. 10.23919/PICMET. 2018. 8481871.
Hummon, N.P. & Doreain, P. (1989). Connectivity in a Citation Network: the Development of DNA Theory. Social Networks, 11, 39-63.
Kim, D & Kim, N & Kim, W. (2018). The effect of patent protection on firms’ market value: the case of the renewable energy sector. Renewable and Sustainable Energy Reviews, 2018; 82: 4309-19.
Lanjouw, J. O. & Schankerman, M. (2001). Characteristics of Patent Litigation: A Window on Competition. The RAND Journal of Economics, 32(1), 129-151. doi:10.2307/2696401.
Lanjouw, J. O. & Schankerman, M. (2004). Patent quality and research productivity: Measuring innovation with multiple indicators. The Economic Journal, 114(495), 441-465.
Marco, Alan C. and Myers, Amanda and Graham, Stuart J.H. and D`Agostino, Paul and Apple, Kirsten. (2015). The USPTO Patent Assignment Dataset: Descriptions and Analysis. USPTO Economic Working Paper, 2015-2.
Newman, Mark. (2004). Fast algorithm for detecting community structure in networks. Physical review E, 69(6), 066133.
Nomaler, O¨. & Verspagen, B. (2016). River deep, mountain high: of long run knowledge trajectories within and between innovation clusters. Journal of Economic Geography, 16: 1259–1278.
N. Figueroa & C.J. Serrano. (2019). Patent trading flows of small and large firms. Research Policy, Vol. 48, no. 7, pp. 1601-1616.
Nomaler, O¨. & Verspagen, B. (2016). River deep, mountain high: of long run knowledge trajectories within and between innovation clusters. Journal of Economic Geography, 16: 1259–1278
Nomaler, O¨. & Verspagen, B. (2019). Greentech homophily and path dependence in a large patent citation network. Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT).
Rosenberg, N. & Nelson, R. (1994). American universities and technical advance in industry. Research Policy, 23, 323–348.
Shane, H & M. Klock. (1997). The Relation Between Patent Citations and Tobin’s Q in the Semiconductor Industry. Review of Quantitative Finance and Accounting,
9, 131–146.
Serrano, C.J. (2010). The dynamics of the transfer and renewal of patents. The RAND Journal of Economics, 41: 686-708.
Trajtenberg, M., R. Henderson & A. Jaffe, (1997). University Versus Corporate Patents: A Window On The Basicness Of Invention. Economics of Innovation and New Technology, vol. 5, no. 1, pp. 19-50.
Triulzi, G. (2015). Looking for the right path: technology dynamics, inventive strategies and catching-up in the semiconductor industry. Maastricht: Datawyse
/Universitaire Pers Maastricht.
Verspagen, B. (2007). Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research. Advances in Complex Systems 10, 93-115.
描述 碩士
國立政治大學
經濟學系
108258008
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108258008
資料類型 thesis
dc.contributor.advisor 李浩仲<br>李文傑zh_TW
dc.contributor.advisor Li, Hao-Chung<br>Lee, Wen-Chiehen_US
dc.contributor.author (Authors) 劉又瑋zh_TW
dc.contributor.author (Authors) Liu, Yu-Weien_US
dc.creator (作者) 劉又瑋zh_TW
dc.creator (作者) Liu, Yu-Weien_US
dc.date (日期) 2021en_US
dc.date.accessioned 4-Aug-2021 15:57:48 (UTC+8)-
dc.date.available 4-Aug-2021 15:57:48 (UTC+8)-
dc.date.issued (上傳時間) 4-Aug-2021 15:57:48 (UTC+8)-
dc.identifier (Other Identifiers) G0108258008en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136554-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟學系zh_TW
dc.description (描述) 108258008zh_TW
dc.description.abstract (摘要) 　　專利除了能排除他人模仿技術生產商品，還能將技術商品化進行轉讓作為技術移轉策略。本文即探討專利權轉讓意願的決定因素，使用專利引用關係網路分析美國專利局1980年到2020年的太陽能電池專利，區分出核心專利與得出專利引用所衡量的特性，專利新穎性與專利影響力，研究結果發現核心專利會因專利申請人類型對於專利轉讓有不同影響，私人公司所申請的核心專利提高轉讓機率，而學校或研究機構所申請之核心專利降低轉讓機率。zh_TW
dc.description.abstract (摘要) Patents are used to be the fence for technology imitation. However, it is less noticed that technology transfer can also be expedited by patent assignment in the market. This article discusses the determinants of the willingness to patent assignment, uses the patent citation relationship network to analyze the solar cell patents of the United States Patent and Trademark Office dataset from 1980 to 2020 to distinguish core patents and derive the characteristics measured by patent citations - patent novelty and patent influence. We find that core patents have different effects on the willingness to patent assignment depending on the type of patent applicant. Core patents applied by firms increase the assignment probability, while core patents applied by schools or research institutions reduce the assignment probability.en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究背景與目的 1
第二節 研究架構 3
第二章 文獻回顧 4
第一節 專利前引用與後引用 4
第二節 專利轉讓與購買 5
第三節 引用網路主要路徑 6
第三章 研究方法 8
第一節 專利引用網路 8
第二節 研究問題與假設 13
第三節 模型設定 15
第四章 實證結果 16
第一節 研究流程 16
第二節 資料 16
第三節 敘述統計 19
第四節 模型結果 25
第五章 結論與研究限制 32
第一節 結論 32
第二節 研究限制與建議 33
參考文獻 34
附錄 37		zh_TW
dc.format.extent 689352 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108258008en_US
dc.subject (關鍵詞) 太陽能電池zh_TW
dc.subject (關鍵詞) 專利引用zh_TW
dc.subject (關鍵詞) 專利權轉讓zh_TW
dc.subject (關鍵詞) 核心專利zh_TW
dc.subject (關鍵詞) Solar cellen_US
dc.subject (關鍵詞) Patent citationen_US
dc.subject (關鍵詞) Patent assignmenten_US
dc.subject (關鍵詞) Core patenten_US
dc.title (題名) 專利權轉讓與專利引用關聯之探討-以太陽能電池技術為例zh_TW
dc.title (題名) The Relation between Patent Assignment and Patent Citations - The Case of Solar Cell Technologyen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 中文文獻
張景淳 (2019)。國家能源政策評析報告：韓國2019 年版。新竹：工業技術研究院綠能與環境研究所。
鄭依涵 (2020)。產學研發外溢效果與廠商表現。政治大學碩博士生論文。
樊晉源、林品華、張書豪、洪文琪與陳曉郁 (2015)。太陽能電池產業技術與標準初探。台北：財團法人國家實驗研究院科技政策研究與資訊中心。
鄭詠文、林峯州、鄭宇辰、蕭盛澤與王耿斌 (2019)。太陽光電產業專利趨勢分析。智慧財產權月刊。247，51-80。

英文文獻
A. D. Marco, G. Scellato, E. Ughetto & F. Caviggioli. (2017). Global markets for technology: Evidence from patent transactions, Research Policy, vol. 46, no. 9, pp. 1644-1654.
Aghion, Philippe, Nicholas Bloom, Richard Blundell, Rachel Griffith & Peter Howitt. (2005). Competition and Innovation: An Inverted U Relationship. Quarterly Journal of Economics, 120 (2), 701–728.
Batagelj V. (2003). Efficient Algorithms for Citation Network Analysis. Preprint Series, 41.
Bloom, N., Schankerman, M. & Reenen, J. V. (2013). Identifying Technology Spillovers and Product Market Rivalry. Econometrica, 81(4), pp. 1347-1393.
Bp p.l.c. (2020). bp Statistical Review of World Energy 2020. London: Bp p.l.c.
Connolly, R.A. & Hirschey, M. (1988). Market Value and Patents: A Bayesian Approach. Economics Letters, Vol. 27, pp. 83.
Griliches, Z. (1990). Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature, 28, 1661–1707.
Howell, Sabrina T. (2017). Financing Innovation: Evidence from R&D Grants. American Economic Review, 107 (4): 1136-64.
Huang, Hung-Chun & Su, Hsin-ning & Shih, Hsin-Yu. (2018). Analyzing Patent Transactions with Patent-based Measures. 1-12. 10.23919/PICMET. 2018. 8481871.
Hummon, N.P. & Doreain, P. (1989). Connectivity in a Citation Network: the Development of DNA Theory. Social Networks, 11, 39-63.
Kim, D & Kim, N & Kim, W. (2018). The effect of patent protection on firms’ market value: the case of the renewable energy sector. Renewable and Sustainable Energy Reviews, 2018; 82: 4309-19.
Lanjouw, J. O. & Schankerman, M. (2001). Characteristics of Patent Litigation: A Window on Competition. The RAND Journal of Economics, 32(1), 129-151. doi:10.2307/2696401.
Lanjouw, J. O. & Schankerman, M. (2004). Patent quality and research productivity: Measuring innovation with multiple indicators. The Economic Journal, 114(495), 441-465.
Marco, Alan C. and Myers, Amanda and Graham, Stuart J.H. and D`Agostino, Paul and Apple, Kirsten. (2015). The USPTO Patent Assignment Dataset: Descriptions and Analysis. USPTO Economic Working Paper, 2015-2.
Newman, Mark. (2004). Fast algorithm for detecting community structure in networks. Physical review E, 69(6), 066133.
Nomaler, O¨. & Verspagen, B. (2016). River deep, mountain high: of long run knowledge trajectories within and between innovation clusters. Journal of Economic Geography, 16: 1259–1278.
N. Figueroa & C.J. Serrano. (2019). Patent trading flows of small and large firms. Research Policy, Vol. 48, no. 7, pp. 1601-1616.
Nomaler, O¨. & Verspagen, B. (2016). River deep, mountain high: of long run knowledge trajectories within and between innovation clusters. Journal of Economic Geography, 16: 1259–1278
Nomaler, O¨. & Verspagen, B. (2019). Greentech homophily and path dependence in a large patent citation network. Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT).
Rosenberg, N. & Nelson, R. (1994). American universities and technical advance in industry. Research Policy, 23, 323–348.
Shane, H & M. Klock. (1997). The Relation Between Patent Citations and Tobin’s Q in the Semiconductor Industry. Review of Quantitative Finance and Accounting,
9, 131–146.
Serrano, C.J. (2010). The dynamics of the transfer and renewal of patents. The RAND Journal of Economics, 41: 686-708.
Trajtenberg, M., R. Henderson & A. Jaffe, (1997). University Versus Corporate Patents: A Window On The Basicness Of Invention. Economics of Innovation and New Technology, vol. 5, no. 1, pp. 19-50.
Triulzi, G. (2015). Looking for the right path: technology dynamics, inventive strategies and catching-up in the semiconductor industry. Maastricht: Datawyse
/Universitaire Pers Maastricht.
Verspagen, B. (2007). Mapping Technological Trajectories as Patent Citation Networks. A Study on the History of Fuel Cell Research. Advances in Complex Systems 10, 93-115.		zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202101049en_US