56
Views
0
CrossRef citations to date
0
Altmetric
Articles

Chinese university patenting, patent commercialization and economic growth: A provincial-level analysis

&

References

  • Aghion, P., David, P. A., & Foray, D. (2009). Science, technology and innovation for economic growth: Linking policy research and practice in ‘STIG Systems’. Research Policy, 38(4), 681-693. doi: 10.1016/j.respol.2009.01.016
  • Akcigit, U., & Kerr, W. R. (2018). Growth through Heterogeneous Innovations. Journal of Political Economy, 126(4), 1374-1443. doi: 10.1086/697901
  • Bush, V. (1945). Science. The endless frontier. A report to the president. Washington, DC: United States Government Printing Office.
  • Cardozo, R., Ardichvili, A., & Strauss, A. (2011). Effectiveness of university technology transfer: an organizational population ecology view of a maturing supplier industry. Journal of Technology Transfer, 36(2), 173-202. doi: 10.1007/s10961-010-9151-1
  • Chang, X. H., Chen, Q., & Fong, P. S. W. (2016). Scientific disclosure and commercialization mode selection for university technology transfer. Science and Public Policy, 43(1), 85-101. doi: 10.1093/scipol/scv011
  • Chavez, A. G. G., Lopez-Herrera, F., & Venegas-Martinez, F. (2012). A Cointegration Analysis between Patents and Economic Growth in Mexico, 1980-2008. Investigacion Economica, 71(281), 83-+.
  • Chen, A. H., Patton, D., & Kenney, M. (2016). University technology transfer in China: a literature review and taxonomy. Journal of Technology Transfer, 41(5), 891-929. doi: 10.1007/s10961-016-9487-2
  • Coronado, D., Flores, E., & Martinez, M. A. (2017). The role of regional economic specialization in the production of university-owned patents. Annals of Regional Science, 59(2), 513-533. doi: 10.1007/s00168-017-0843-4
  • Debackere, K., & Veugelers, R. (2005). The role of academic technology transfer organizations in improving industry science links. Research Policy, 34(3), 321-342. doi: 10.1016/j.respol.2004.12.003
  • Eun, J. H., Lee, K., & Wu, G. S. (2006). Explaining the “University-run enterprises” in China: A theoretical framework for university-industry relationship in developing countries and its application to China. Research Policy, 35(9), 1329-1346. doi: 10.1016/j.respol.2006.05.008
  • Fisch, C. O., Block, J. H., & Sandner, P. G. (2016). Chinese university patents: quantity, quality, and the role of subsidy programs. Journal of Technology Transfer, 41(1), 60-84. doi: 10.1007/s10961-014-9383-6
  • Frietsch, R., Neuhausler, P., Jung, T., & Van Looy, B. (2014). Patent indicators for macroeconomic growth-the value of patents estimated by export volume. Technovation, 34(9), 546-558. doi: 10.1016/j.technovation.2014.05.007
  • Garfield, E. (1988). Theory of technology role in economic-growth brings mit solow, robert, m. The 1987 nobel-prize in economic sciences. Current Contents (17), 3-8.
  • Gross, C. M. (2013). The growth of China’s technology transfer industry over the next decade: implications for global markets. Journal of Technology Transfer, 38(5), 716-747. doi: 10.1007/s10961-012-9263-x
  • Hameed, T., von Staden, P., & Kwon, K. S. (2018). Sustainable Economic Growth and the Adaptability of a National System of Innovation: A Socio-Cognitive Explanation for South Korea’s Mired Technology Transfer and Commercialization Process. Sustainability, 10(5), 26. doi: 10.3390/su10051397
  • Hu, M. C., & Mathews, J. A. (2008). China’s national innovative capacity. Research Policy, 37(9), 1465-1479. doi: 10.1016/j.respol.2008.07.003
  • IncoPat. (2018). IncoPat-Patent Database. from https://www.incopat.com/login?locale=en
  • Jiang, Q. L., & Luan, C. J. (2018). Diffusion, convergence and influence of pharmaceutical innovations: a comparative study of Chinese and US patents. Globalization and Health, 14, 9. doi: 10.1186/s12992-018-0408-z
  • Jiangsu S&T Gov. (2018). Implementation plan for accelerating patent commercialization. from http://kxjst.jiangsu.gov.cn/art/2018/9/14/art_7625_7816168.html
  • Kogan, L., Papanikolaou, D., Seru, A., & Stoffman, N. (2017). Technological innovation, resource allocation, and growth. Quarterly Journal of Economics, 132(2), 665-712. doi: 10.1093/qje/qjw040
  • Li, X. B. (2012). Behind the recent surge of Chinese patenting: An institutional view. Research Policy, 41(1), 236-249. doi: 10.1016/j.respol.2011.07.003
  • Lindman, A., & Soderholm, P. (2016). Wind energy and green economy in Europe: Measuring policy-induced innovation using patent data. Applied Energy, 179, 1351–1359. doi: 10.1016/j.apenergy.2015.10.128
  • Luan, C. J. (2019). The duration of a patent from being granted to commercialized Science and Management.
  • Luan, C. J., Zhou, C. Y., & Liu, A. Y. (2010). Patent strategy in Chinese universities: a comparative perspective. Scientometrics, 84(1), 53-63. doi: 10.1007/s11192-010-0194-8
  • Luo, Z. Y., Chiu, Y. H., Tang, L. L., Xu, Y. Y., & Lu, C. C. (2016). Industrial enterprises’ innovation efficiency and the influence of capital source: based on statistical data of industrial enterprises in jiangsu province. Hitotsubashi Journal of Economics, 57(2), 175–193.
  • Molinari, B., & Torres, J. L. (2018). TECHNOLOGICAL SOURCES OF ECONOMIC GROWTH IN EUROPE AND THE US. Technological and Economic Development of Economy, 24(3), 1178-1199. doi: 10.3846/20294913.2017.1280557
  • Mowery, D., Nelson, R., Sampat, B., & Ziedonis, A. (2004). Ivory tower and industrial innovation. Stanford, CA: Stanford University Press.
  • Mowery, D. C. (2005). The Bayh-Dole Act and High-Technology Entrepreneurship in US Universities: Chicken, Egg, Or Something Else? In G. D. Libecap (Ed.), University Entrepreneurship and Technology Transfer (Vol. 16, pp. 39-68). Bingley: Emerald Group Publishing Limited.
  • Mowery, D. C., & Shane, S. (2002). Introduction to the special issue on university entrepreneurship and technology transfer. Management Science, 48(1), V-IX. doi: 10.1287/mnsc.48.1.0.14277
  • Mueller, P. (2006). Exploring the knowledge filter: How entrepreneurship and university-industry relationships drive economic growth. Research Policy, 35(10), 1499–1508. doi: 10.1016/j.respol.2006.09.023
  • National Bureau of Economic Research. (1990). Patent statistics as economic indicators: a survey.
  • National Intellectual Property Admininstration, P. (2017). The construction of the state intellectual property business operation system. from http://www.sipo.gov.cn/zcfg/zcjd/1020259.htm
  • Nelson, R. R., Denison, E., Sato, K., & Phelps, E. S. (1966). Investment in Humans, Technological Diffusion, and Economic Growth. American Economic Review, 56(2), 69–82.
  • Petrescu, A. S. (2009). Science and Technology for Economic Growth. New Insights from when the Data Contradicts Desktop Models. Review of Policy Research, 26(6), 839–880. doi: 10.1111/j.1541-1338.2009.00420.x
  • Schmid, J., Kolesnikov, S. A., & Youtie, J. (2018). Plans versus experiences in transitioning transnational education into research and economic development: a case study. Science And Public Policy, 45(1), 103-116. doi: 10.1093/scipol/scx051
  • Shou, Y. Y., Chen, Y. Y., & Feng, Y. (2013). The impact of intermediaries on innovation performance at small- and medium-sized enterprises in the Yangtze River Delta. Asian Journal of Technology Innovation, 21, 20-30. doi: 10.1080/19761597.2013.819243
  • Sierotowicz, T. (2017). The economic aspect of the efficiency of patent activities based on case studies of leading ICT enterprises. Queen Mary Journal of Intellectual Property, 7(3), 343-355. doi: 10.4337/qmjip.2017.03.05
  • Solow, R. M. (1956). A Contribution to the Theory of Economic-Growth. Quarterly Journal of Economics, 70(1), 65-94. doi: 10.2307/1884513
  • Solow, R. M. (1957). Technical Change and the Aggregate Production Function. Review of Economics and Statistics, 39(3), 312-320. doi: 10.2307/1926047
  • WIPO. (2018). World Intellectual Property Report 2017 – Intangible Capital in Global Value Chains.
  • Xu, J., & Li, Y. P. (2018). Grey Incidence Analysis Model of Classification Variables and Its Application on Innovation & Entrepreneurship Education in Jiangsu. Journal of Grey System, 30(1), 123-128.
  • Zhou, J., Xu, J. B., & Wang, X. P. (2018). Spatial Agglomeration and Performance of Main Innovative Actors in a Metropolitan Area: Case Study of the Yangtze River Delta Metropolitan Area. International Regional Science Review, 41(6), 630-656. doi: 10.1177/0160017617728550

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.