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The impact of financial leasing on the innovation achievements of artificial intelligence enterprises

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DOI: 10.23977/ferm.2023.060515 | Downloads: 22 | Views: 527

Author(s)

Zhang Tongxin 1,2, Xueqi Jiang 3, Jieyu Zheng 1

Affiliation(s)

1 School of Economics and Management, North China University of Technology, Beijing, China
2 School of Environment, Education and Development, University of Manchester, Manchester, M13 9PL, U.K
3 BDO China Shu Lun Pan Certified Public Accountants LLP, Beijing, China

Corresponding Author

Zhang Tongxin

ABSTRACT

The output of innovation achievements of artificial intelligence enterprises cannot be achieved without the support of capital, and financial leasing is playing a positive role in meeting the capital needs of enterprises and solving financing difficulties. Based on the data of AI A-share listed enterprises in China from 2007 to 2020, this thesis constructs A fixed effects model to make an empirical analysis of the relationship between financial leasing and AI enterprises' innovation achievements. The results show that: (1) After grouping regression based on the revenue growth rate (rgw), the regression results are significant, that is, the results of financial leasing adopted by AI enterprises are affected by financing constraints. (2) For AI enterprises with high financing constraints, financial leasing can promote the output of AI enterprises' innovation achievements by easing financing constraints. The research purpose and conclusion of this paper aims to explore the impact of financial leasing on the innovation of AI enterprises, hoping to provide a way for AI enterprises to better and more efficient financing to promote innovation performance and output of innovation results.

KEYWORDS

Financial leasing, AI enterprises, innovation achievements, financing constraints

CITE THIS PAPER

Zhang Tongxin, Xueqi Jiang, Jieyu Zheng, The impact of financial leasing on the innovation achievements of artificial intelligence enterprises. Financial Engineering and Risk Management (2023) Vol. 6: 114-119. DOI: http://dx.doi.org/10.23977/ferm.2023.060515.

REFERENCES

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