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Chinese university patents: quantity, quality, and the role of subsidy programs

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  • Christian Fisch
  • Joern Block
  • Philipp Sandner

Abstract

Chinese university patenting has gained importance in recent years. Using a comprehensive dataset of university patents by 155 leading Chinese universities from 1991 to 2009, our study pursues two objectives: First, we analyze the quantity and quality of patents filed by leading Chinese universities. Second, we analyze the role of subsidy programs with regard to university patenting in China. With regard to the first objective, our results show that university patents witnessed rapid growth in terms of quantity while patent quality did not increase to a similar degree. Regarding the second objective, we find that a subsidy program to promote research excellence at selected universities is a significant driver of patent quantity and quality. In contrast, a subsidy program that decreases the costs of patent applications seems to enhance patent quantity but not patent quality. We conclude that innovation policies which aim to stimulate patents of higher quality should focus primarily on increasing university R&D, and to a lesser extent on decreasing the costs of university patenting. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Christian Fisch & Joern Block & Philipp Sandner, 2016. "Chinese university patents: quantity, quality, and the role of subsidy programs," The Journal of Technology Transfer, Springer, vol. 41(1), pages 60-84, February.
    • Handle: RePEc:kap:jtecht:v:41:y:2016:i:1:p:60-84
    DOI: 10.1007/s10961-014-9383-6
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    Citations

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    Cited by:

    1. Feng, Wei & Yuan, Hang & Shao, Xin, 2024. "Does China Have an “Innovation Paradox”? Evidence from Chinese Colleges and Universities," Economic Modelling, Elsevier, vol. 134(C).
    2. Link, Albert N. & van Hasselt, Martijn, 2019. "On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research," European Economic Review, Elsevier, vol. 119(C), pages 472-481.
    3. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2024. "Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest," China Economic Review, Elsevier, vol. 86(C).
    4. Christian Fisch & Jörn Block & Philipp Sandner, 2019. "The impact of acquisitions on Chinese acquirers’ innovation performance: an empirical investigation of 1545 Chinese acquisitions," Journal of Business Economics, Springer, vol. 89(2), pages 125-153, March.
    5. Meng, Qiaoyu & Li, Yi & Cao, Qinwei, 2024. "The paradox analysis and functional mechanism between R&D efficiency and transformation effect: Evidence from key universities in China," Technovation, Elsevier, vol. 130(C).
    6. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    7. Thomas Scherngell & Charlotte Rohde & Martina Neuländtner, 2020. "The dynamics of global R&D collaboration networks in ICT: Does China catch up with the US?," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    8. Stefan Marc Hossinger & Xiangyu Chen & Arndt Werner, 2020. "Drivers, barriers and success factors of academic spin-offs: a systematic literature review," Management Review Quarterly, Springer, vol. 70(1), pages 97-134, February.
    9. Lei Ye & Ting Zhang & Xianzhong Cao & Senlin Hu & Gang Zeng, 2024. "Mapping the landscape of university technology flows in China using patent assignment data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    10. Jiafeng Gu, 2021. "Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    11. Lin, Jia & Wu, Ho-Mou & Wu, Howei, 2021. "Could government lead the way? Evaluation of China's patent subsidy policy on patent quality," China Economic Review, Elsevier, vol. 69(C).
    12. Cao, Qinwei & Qiu, Shunli & Huang, Jian, 2022. "Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    13. Lian, Xiangpeng & Guo, Ying & Su, Jun, 2021. "Technology stocks: A study on the characteristics that help transfer public research to industry," Research Policy, Elsevier, vol. 50(10).
    14. Natalya Radko & Maksim Belitski & Yelena Kalyuzhnova, 2023. "Conceptualising the entrepreneurial university: the stakeholder approach," The Journal of Technology Transfer, Springer, vol. 48(3), pages 955-1044, June.
    15. Yindan Ye & Kevin De Moortel & Thomas Crispeels, 2020. "Network dynamics of Chinese university knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1228-1254, August.
    16. Qinwei Cao & Peng Xie & Meng Jiao & Wanchun Duan, 2021. "The larger scientific and technological human scale, the better innovation effect? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5623-5649, July.
    17. De Moortel, Kevin & Crispeels, Thomas, 2018. "International university-university technology transfer: Strategic management framework," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 145-155.
    18. Qinwei Cao & Manqing Tan & Peng Xie & Jian Huang, 2022. "Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 927-957, February.

    More about this item

    Keywords

    University patenting; China; Patent quantity; Patent quality; Subsidy programs; Project 985; C23; O34; O53;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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