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題名 產學研發外溢效果與廠商表現
The R&D Spillover Effects between Universities and Industries and The Firm Performance作者 鄭依涵
Jeng, I-Harn貢獻者 李浩仲<br>李文傑
Li, Hao-Chung<br>Lee, Wen-Chieh
鄭依涵
Jeng, I-Harn關鍵詞 外溢效果
學術研究
市場價值
研發生產力
Spillovers
academic research
market value
R&D productivity日期 2020 上傳時間 3-Aug-2020 18:11:21 (UTC+8) 摘要 學術界往往被認為是技術創新的源頭，在學術界研發出新技術時，廠商透過產學研發的外溢效果而受惠，進而影響廠商的研發表現與市場表現。在學術界的研發行為中，並不是所有研究都有正向的影響，針對研究性質分類而言，學術界的研發可分為基礎研究與應用研究，針對學門而言，學術界的研發亦可分自然科學與社會科學。本文以台灣、中國為例，透過產業分類為基準，連結學術界、產業界之研發領域，嘗試了解學校與研究機構的研發行為如何影響相同領域之廠商表現。研究結果顯示，整體而言，台灣與中國學術界存在正向的外溢效果，針對台灣大專院校研發環境，又以應用研究類型學校有較高的外溢效果，即廠商較偏能夠立即應用的知識，針對純基礎研究型學校而言，廠商無法從未商業化的知識中受益，此外，相較於社會科學，自然科學的外溢效果在廠商的市場價值與研發生產力表現皆較好。
Cynical views come toward the values of academic research outcome and societal views put that elaborated research only have marginal contribution to the pragmatic industry usage. Based on the aforementioned argument this thesis investigates the spillover effects brought about by academic research on industry application. By assembling data from three sources including published academic articles, granted patents and industry firms’ financial performance, the academic spillover effects are confirmed to have significant influence on industry performance in both Taiwan and mainland China. Then further specified tests are also utilized to approve that the natural science research is more influential than research belonging to social science. This is because that more applied oriented research is easier for the ready usage for industry firms.參考文獻 Baba, Y., Naohiro, S., & Sedita, S. R. (2009). How do collaborations with universities affect firms’ innovative performance? The role of “Pasteur scientists” in the advanced materials field. Research Policy, 38(5), pp. 756–764.Bloom, N., Reenen, J. V., & Williams, H. (2019). A Toolkit of Policies to Promote Innovation. Journal of Economics Perspectives, 33(3), pp. 163-184.Bloom, N., Schankerman, M., & Reenen, J. V. (2013). Identifying Technology Spillovers and Product Market Rivalry. Econometrica, 81(4), pp. 1347-1393.Brehm, S., & Lundin, N. (2012). University–industry linkages and absorptive capacity: an empirical analysis of China`s manufacturing industry. Economics of Innovation and New Technology, 21(8), pp. 837-852.Chen, C., Hu, J., & Yang, C. (2011). An international comparison of R&D efficiency of multiple innovative outputs: The role of the national innovation system. Innovation, 13, pp. 341–360.Chen, C., Hu, J., & Yang, C. (2013). Produce patents or journal articles? A cross-country comparison of R&D productivity change. Scientometrics, 94, pp. 833–849.Cohen , W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and Impacts: The Influence of Public Research on Industrial R&D. Management Science, 48(1).Hsu, P. (2011). Technological Innovation Spillovers and Stock Returns. Retrieved from SSRN: https://ssrn.com/abstract=1458011 or http://dx.doi.org/10.2139/ssrn.1458011Huggins, R., & Prokop, D. (2017). Network structure and regional innovation: A study of university–industry ties. Urban Studies, 54(4), pp. 931–952.Jaffe, A. B. (1986). Technological Opportunity and Spillovers of R & D: Evidence from Firms` Patents, Profits, and Market Value. The American Economic Review, 76(5), pp. 984-1001.Kafouros, M., Wang, C., Piperopoulos, P., & Zhang, M. (2015). Academic collaborations and firm innovation performance in China: The role of region-specific institutions. Research Policy, 44(3), pp. 803-817 .Li, D., Azoulay, P., & Sampat, B. N. (2017). The applied value of public investments in biomedical research. Science, 356(6333), pp. 78-81.Ponds, R., Oort, F. v., & Frenken, K. (2009). Innovation, spillovers and university–industry collaboration: an extended knowledge production function approach. Journal of Economic Geography, 10(2), pp. 231–255.Qiu, S., Liu, X., & Gao, T. (2017). Do emerging countries prefer local knowledge or distant knowledge? Spillover effect of university collaborations on local firms. Research Policy, 46(7), pp. 1299-1311.Rassenfosse, G. d., & Seliger, F. (2020). Sources of knowledge flow between developed and developing nations. Science and Public Policy, 47(1), pp. 16-20.Shi, X., Wu, Y., & Fu, D. (2020). Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms. Economic Modelling, 86, pp. 39-53.Stokes, D. E. (1997). Pasteur`s quadrant: Basic science and technological innovation. Brookings Institution Press.Younge, K. A., & Kuhn, J. M. (2016). Patent-to-Patent Similarity: A Vector Space Model. Retrieved from SSRN: https://ssrn.com/abstract=2709238 or http://dx.doi.org/10.2139/ssrn.2709238 描述 碩士
國立政治大學
經濟學系
107258017資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107258017 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-Chieh en_US dc.contributor.author (Authors) 鄭依涵 zh_TW dc.contributor.author (Authors) Jeng, I-Harn en_US dc.creator (作者) 鄭依涵 zh_TW dc.creator (作者) Jeng, I-Harn en_US dc.date (日期) 2020 en_US dc.date.accessioned 3-Aug-2020 18:11:21 (UTC+8) - dc.date.available 3-Aug-2020 18:11:21 (UTC+8) - dc.date.issued (上傳時間) 3-Aug-2020 18:11:21 (UTC+8) - dc.identifier (Other Identifiers) G0107258017 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/131178 - 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) 107258017 zh_TW dc.description.abstract (摘要) 學術界往往被認為是技術創新的源頭，在學術界研發出新技術時，廠商透過產學研發的外溢效果而受惠，進而影響廠商的研發表現與市場表現。在學術界的研發行為中，並不是所有研究都有正向的影響，針對研究性質分類而言，學術界的研發可分為基礎研究與應用研究，針對學門而言，學術界的研發亦可分自然科學與社會科學。本文以台灣、中國為例，透過產業分類為基準，連結學術界、產業界之研發領域，嘗試了解學校與研究機構的研發行為如何影響相同領域之廠商表現。研究結果顯示，整體而言，台灣與中國學術界存在正向的外溢效果，針對台灣大專院校研發環境，又以應用研究類型學校有較高的外溢效果，即廠商較偏能夠立即應用的知識，針對純基礎研究型學校而言，廠商無法從未商業化的知識中受益，此外，相較於社會科學，自然科學的外溢效果在廠商的市場價值與研發生產力表現皆較好。 zh_TW dc.description.abstract (摘要) Cynical views come toward the values of academic research outcome and societal views put that elaborated research only have marginal contribution to the pragmatic industry usage. Based on the aforementioned argument this thesis investigates the spillover effects brought about by academic research on industry application. By assembling data from three sources including published academic articles, granted patents and industry firms’ financial performance, the academic spillover effects are confirmed to have significant influence on industry performance in both Taiwan and mainland China. Then further specified tests are also utilized to approve that the natural science research is more influential than research belonging to social science. This is because that more applied oriented research is easier for the ready usage for industry firms. en_US dc.description.tableofcontents 第一章 緒論 1第一節 技術創新與產學研發外溢效果 1第二節 研究性質與學科領域 3第二章 文獻回顧 6第一節 產業外溢效果 6第二節 產學知識流動 7第三章 研究方法 9第一節 衡量產學外溢效果 9第二節 衡量學門外溢效果 12第三節 模型設定 13第四章 資料 16第一節 廠商資料 16第二節 專利資料 17第三節 學校期刊論文資料 21第四節 衡量產學研發外溢效果 22第五節 PASTEUR 象限 28第六節 資料整理流程 30第五章 模型結果 31第一節 台灣研發外溢效果 31第二節 中國研發外溢效果 34第六章 結論與建議 36參考文獻 37附錄 39 zh_TW dc.format.extent 6210923 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107258017 en_US dc.subject (關鍵詞) 外溢效果 zh_TW dc.subject (關鍵詞) 學術研究 zh_TW dc.subject (關鍵詞) 市場價值 zh_TW dc.subject (關鍵詞) 研發生產力 zh_TW dc.subject (關鍵詞) Spillovers en_US dc.subject (關鍵詞) academic research en_US dc.subject (關鍵詞) market value en_US dc.subject (關鍵詞) R&D productivity en_US dc.title (題名) 產學研發外溢效果與廠商表現 zh_TW dc.title (題名) The R&D Spillover Effects between Universities and Industries and The Firm Performance en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Baba, Y., Naohiro, S., & Sedita, S. R. (2009). How do collaborations with universities affect firms’ innovative performance? The role of “Pasteur scientists” in the advanced materials field. Research Policy, 38(5), pp. 756–764.Bloom, N., Reenen, J. V., & Williams, H. (2019). A Toolkit of Policies to Promote Innovation. Journal of Economics Perspectives, 33(3), pp. 163-184.Bloom, N., Schankerman, M., & Reenen, J. V. (2013). Identifying Technology Spillovers and Product Market Rivalry. Econometrica, 81(4), pp. 1347-1393.Brehm, S., & Lundin, N. (2012). University–industry linkages and absorptive capacity: an empirical analysis of China`s manufacturing industry. Economics of Innovation and New Technology, 21(8), pp. 837-852.Chen, C., Hu, J., & Yang, C. (2011). An international comparison of R&D efficiency of multiple innovative outputs: The role of the national innovation system. Innovation, 13, pp. 341–360.Chen, C., Hu, J., & Yang, C. (2013). Produce patents or journal articles? A cross-country comparison of R&D productivity change. Scientometrics, 94, pp. 833–849.Cohen , W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and Impacts: The Influence of Public Research on Industrial R&D. Management Science, 48(1).Hsu, P. (2011). Technological Innovation Spillovers and Stock Returns. Retrieved from SSRN: https://ssrn.com/abstract=1458011 or http://dx.doi.org/10.2139/ssrn.1458011Huggins, R., & Prokop, D. (2017). Network structure and regional innovation: A study of university–industry ties. Urban Studies, 54(4), pp. 931–952.Jaffe, A. B. (1986). Technological Opportunity and Spillovers of R & D: Evidence from Firms` Patents, Profits, and Market Value. The American Economic Review, 76(5), pp. 984-1001.Kafouros, M., Wang, C., Piperopoulos, P., & Zhang, M. (2015). Academic collaborations and firm innovation performance in China: The role of region-specific institutions. Research Policy, 44(3), pp. 803-817 .Li, D., Azoulay, P., & Sampat, B. N. (2017). The applied value of public investments in biomedical research. Science, 356(6333), pp. 78-81.Ponds, R., Oort, F. v., & Frenken, K. (2009). Innovation, spillovers and university–industry collaboration: an extended knowledge production function approach. Journal of Economic Geography, 10(2), pp. 231–255.Qiu, S., Liu, X., & Gao, T. (2017). Do emerging countries prefer local knowledge or distant knowledge? Spillover effect of university collaborations on local firms. Research Policy, 46(7), pp. 1299-1311.Rassenfosse, G. d., & Seliger, F. (2020). Sources of knowledge flow between developed and developing nations. Science and Public Policy, 47(1), pp. 16-20.Shi, X., Wu, Y., & Fu, D. (2020). Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms. Economic Modelling, 86, pp. 39-53.Stokes, D. E. (1997). Pasteur`s quadrant: Basic science and technological innovation. Brookings Institution Press.Younge, K. A., & Kuhn, J. M. (2016). Patent-to-Patent Similarity: A Vector Space Model. Retrieved from SSRN: https://ssrn.com/abstract=2709238 or http://dx.doi.org/10.2139/ssrn.2709238 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202001164 en_US
