Research on the influence mechanism of intellectual property protection on China's digital economy

Yujie Qi; Tao Zhang

doi:10.61187/mi.v1i2.53

Authors

Yujie Qi
272807467@qq.com
College of Business, Jiangsu Ocean University, Lianyungang, Jiangsu, China
Tao Zhang College of Business, Jiangsu Ocean University, Lianyungang, Jiangsu, China

Keywords:

Intellectual property protection, digital economy, influence mechanism

Abstract

In the context of accelerating the construction of the digital economy, it is of great practical significance to study the degree of intellectual property protection to improve the development of the digital economy to help the high-quality development of China's digital economy. The data of 273 cities in China from 2012 to 2021 were selected as samples, and the level of intellectual property protection was measured by the number of intellectual property cases, and the development of the digital economy was measured by the Internet infrastructure, Internet-related output, and digital financial inclusion. It is found that 1) The protection of intellectual property rights has significantly improved the level of development of the digital economy. 2) Intellectual property protection can promote the development of the digital economy by increasing the activity of innovation. 3) The impact of intellectual property protection on the digital economy is verified from the levels of different regions, city sizes and local financial resources, and it is found that the positive effect of intellectual property protection on the digital economy in the eastern region, Type II large cities and cities with high local financial resources is greater.

References

Yong-sheng, Y. A. N., Ling-fei, L. I., & Chuan-lin, S. H. A. O. (2022). Intellectual Property Strategy and Private Enterprise Innovation—A quasi-natural experiment based on the national intellectual property rights demonstration city pilot. Journal of Guizhou University of Finance and Economics, 40(05), 63. https://gcxb.gufe.edu.cn/EN/Y2022/V40/I05/63

Shao, S. Analysis of the Relationship between Intellectual Property Protection and Digital Economy Development. People's Forum, 2019 (24), 46-47.

Wen, J., Yan, Z., Cheng, Y. (2019). The Enhancement of Digital Economy and Regional Innovation Capability. Exploration of Economic Issues, 11, 112-124.

Ang, J. S., Cheng, Y., & Wu, C. (2014). Does enforcement of intellectual property rights matter in China? Evidence from fi-nancing and investment choices in the high-tech industry. Review of Economics and Statistics, 96(2), 332-348. https://doi.org/10.1162/REST_a_00372 DOI: https://doi.org/10.1162/REST_a_00372

Bao, P., Huang, L. (2023). How Innovation Talent Agglomeration Affects Urban Ecological Wealth. Journal of Shanxi Uni-versity of Finance and Economics, 45(5).

Roper, S., Love, J. H., & Bonner, K. (2017). Firms’ knowledge search and local knowledge externalities in innovation per-formance. Research policy, 46(1), 43-56. https://doi.org/10.1016/j.respol.2016.10.004 DOI: https://doi.org/10.1016/j.respol.2016.10.004

Zhao, T., Zhang, Z., Liang, S. (2020), Digital Economy, Entrepreneurial Activity, and High Quality Development: Empirical Evidence from Chinese Cities. Management World, 36(10), 65-76. https://doi.org/10.19744/j.cnki.11-1235/f.2020.0154

Shen, G., Huang, S. (2019). The impact of urban level intellectual property protection on the introduction of foreign investment by Chinese enterprises. Finance, Trade and Economics, 40(12), 143-157.

Gao, B. (2023). Innovation Activity, Labor Income Share, and High Quality Economic Development. Technology Economy and Management Research, 4, 31-37.

Liu, Y., Jiang, G. (2023). The Impact and Mechanism of Urban Shrinkage on the Development of Digital Economy: Empirical Evidence from Chinese Cities. Journal of Shanxi University (Philosophy and Social Sciences Edition), 46(1), 150-160. https://doi.org/10.14071/j.1008-8105(2021)-4010

Zhou, K., Yu, L. (2021). The impact of pilot projects of intellectual property demonstration cities on high-quality economic development in China: quasi natural experimental evidence based on double difference method. Journal of Yunnan University of Finance and Economics, 37(11), 13-29.