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The blocking and transmission effects of lower level system in patent transaction - evidence from Chinese colleges and universities

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  • Zhang Junrong

    (South-Central Minzu University)

Abstract

Conflicts and contradictions within the legal system may affect the effectiveness of law enforcement, but scholars have not conducted sufficient empirical research on the mechanism. Based on three periods of mixed cross-sectional data in 2015 and 2019 when the reform of patent transaction system in colleges and universities, which represents a quasi-natural experiment, has been carried out, this study adopted a difference-in-difference (DID) model to empirically analyze the efficiency of patent transactions. It was found that if the lower level system was not removed or revised in time when the higher level law had been revised, it would have a blocking effect on the implementation of the higher level law and thus make patent transaction less efficient. Furthermore, when the lower level system was revised accordingly, it would have a transmission effect on the implementation of the higher level law, which could promote its implementation. This basic conclusion remains valid after a series of robustness tests and can provide useful lessons for the systemic revision and organizing of laws, as well as the reform of the economic and social systems.

Suggested Citation

  • Zhang Junrong, 2024. "The blocking and transmission effects of lower level system in patent transaction - evidence from Chinese colleges and universities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03116-z
    DOI: 10.1057/s41599-024-03116-z
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    1. Clément de Chaisemartin & Xavier D’Haultfœuille, 2023. "Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
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    3. Ariella Kahn-Lang & Kevin Lang, 2020. "The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 613-620, July.
    4. Jennifer A. Delaney & Tyler D. Kearney, 2016. "Alternative Student-Based Revenue Streams for Higher Education Institutions: A Difference-in-Difference Analysis Using Guaranteed Tuition Policies," The Journal of Higher Education, Taylor & Francis Journals, vol. 87(5), pages 731-769, September.
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