A Study on the Financial Performance of Chinese Artificial Intelligence Listed Companies Based on the DEA-Malmquist Model

Rongbin Lyu; Cancan Cui

doi:10.54097/mrqzrx17

Authors

Rongbin Lyu
Cancan Cui

DOI:

https://doi.org/10.54097/mrqzrx17

Keywords:

Artificial Intelligence, Financial Performance, DEA, Malmqusit Index.

Abstract

This study aims to assess the financial performance of Chinese AI-listed companies. It utilizes the DEA-Malmquist model to conduct static and dynamic analysis on data from 2018 to 2022. The findings indicate that these companies generally perform well financially, with room for improvement. Technological Progress emerges as the primary driver of enhanced financial performance in the industry. While Total Factor Productivity fluctuates, it shows an overall growth trend. Based on these results, the study offers specific recommendations for enterprises and policymakers to foster the healthy development of the Chinese AI industry.

Downloads

Download data is not yet available.

References

Cao Jing,Zhou Yalin. Research progress on the impact of artificial intelligence on economy[J]. Dynamics of Economics,2018(01):103-115.

Ren Baoping,Song Wenyu. The effect and path of the deep integration of new-generation artificial intelligence and real economy to promote high-quality development[J]. Journal of Northwestern University: philosophy and social science edition,2019,49(5):8.DOI:10.16152/j.cnki.xdxbsk.2019-05-001.

Xi Jinping emphasized at the ninth collective study of the Political Bureau of the CPC Central Committee that strengthening leadership and doing a good job of planning and clarifying tasks and compacting the foundation to promote the healthy development of China's new generation of artificial intelligence[J]. Party building,2018(11):1+19.

Luo Wenhao,Sheng Lijun. Research on the financial performance of Midea's acquisition of Kuka based on DuPont analysis[J]. China Business Journal,2018(26):3.DOI:10.19699/j.cnki.issn2096-0298.2018.26.137.

Wang Jing,Sheng Junquan. Research on financial performance evaluation of agricultural listed companies based on DEA method[J]. Green Finance and Accounting,2019(06):15-22.DOI:10.14153/j.cnki.lsck.2019.06.005.

Feng Xuebin,Zhang Jianying. Research on financial performance evaluation of listed companies in agriculture and animal husbandry sector based on principal component analysis[J]. Feed Research,2020,43(11):116-120.DOI:10.13557/j.cnki.issn1002-2813.2020.11.029.

Hou Xiangding.Evaluation of Financial Performance of A-share Listed Logistics Supply Chain Enterprises-Based on Factor Analysis[J]. Journal of Shanxi University of Finance and Economics,2021,43(S2):53-57.

Liu Nan,Zhou Mi. Research on financial performance evaluation of listed companies in China's insurance industry based on entropy weight TOPSIS method[J]. Operation and Management,2021(01):78-84.DOI:10.16517/j.cnki.cn12-1034/f.2021.01.018.

Tang Huaguo. Research on Financial Performance Evaluation of Local Colleges and Universities Based on Hierarchical Analysis[J]. Study of Finance and Accounting,2022(05):37-39.

Ying Rimeng, Yang Jie, Gao Manru. Intelligent manufacturing and enterprise performance--an empirical test based on PSM-DID method[J]. Finance and Accounting Monthly,2020(12):11-17.DOI:10.19641/j.cnki.42-1290/f.2020.12.003.

Qingxue Li. Research on Financial Performance Evaluation of Smart Manufacturing Listed Companies-Based on Factor Analysis[J]. National Circulation Economy,2021(34):46-48.DOI:10.16834/j.cnki.issn1009-5292.2021.34.013.

Jin Jiahui. Research on the performance of listed companies in the intelligent storage and logistics industry--Taking Company N as an example[J]. China Storage and Transportation,2023(07):70-71.DOI:10.16301/j.cnki.cn12-1204/f.2023.07.126.

Ma Hailiang,Huang Dechun,Zhang Jiguo et al. Interprovincial differences in water resource utilization efficiency in China in recent years:technical progress or technical efficiency[J]. Resource Science,2012,34(05):794-801.

Hao Yanhua. Research on financial performance evaluation of listed feed companies based on AHP-DEA model[J]. Feed Research,2022,45(04):123-127.DOI:10.13557/j.cnki.issn1002-2813.2022.04.028.