Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Analysis of Chinese Bayh-Dole Policies Using Natural Language Processing Tools and RDD Model

Authors
Ruoya Wang1, *, Yaodong Zhou1
1School of Economics and Management, Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: zoeywry@126.com
Corresponding Author
Ruoya Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_116How to use a DOI?
Keywords
University Patents; Patent Transformation; Policy Analysis; Attention Studies; Incentive Effects
Abstract

Based on the text data of BD policies of colleges and universities compiled by hand, this paper uses jieba tool to analyze the characteristics of science and technology achievement transformation policies of colleges and universities, to investigate the attention of colleges and universities to patent transformation activities. Empirical Analysis of the Incentive Impact of Science and Technology Achievement Conversion Policies on Patent Conversion Activities in Universities Using Exact Breakpoint Regression Models. The research finds that the BD policies of universities reflect that Chinese universities pay a high level of attention to scientific and technological achievements, especially patent transfer, licensing and price-setting, which is conducive to the development of social innovation. The local average treatment effect of universities’ attention to conversion activities on conversion results is positive, indicating that university BD-type policies have a significant positive contribution to patent conversion.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_116
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_116How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ruoya Wang
AU  - Yaodong Zhou
PY  - 2022
DA  - 2022/12/20
TI  - Analysis of Chinese Bayh-Dole Policies Using Natural Language Processing Tools and RDD Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1158
EP  - 1167
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_116
DO  - 10.2991/978-94-6463-030-5_116
ID  - Wang2022
ER  -