Research on the operational efficiency of Chinese fintech companies based on the DEA model

Fintech is important for China's 'new infrastructure' and for driving strategic innovation at the national level.Measurement systems are constructed considering cost income and company development.The DEA model is used to analyse the operating efficiency and slack variables of 55 listed fintech companies from 2014 to 2019.This paper distinguishes between the establishment years, enterprise attributes, and scale of companies.It concludes that companies with high establishment years are more efficient than those with low establishment years.The average comprehensive technical efficiency changes of non-state-owned enterprises are slightly higher than those with low establishment years.Non-SBM effective enterprises' investment redundancy indicators are total assets, payable employee compensation, and the number of employees, while insufficient output is reflected in net profit's indicator.Based on the research results, suggestions are made to promote the sustainable development of fintech in China, which is significant for the promotion of financial innovation in China.

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Publication Details

Journal
International Journal of Electronic Finance
Published
2024-12-12
DOI
https://doi.org/10.1504/ijef.2025.143234
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the operational efficiency of Chinese fintech companies based on the DEA model

X. Michael Song, Pei Peng, Qin Xuan
International Journal of Electronic Finance
FinTech, Crowdfunding, Digital Finance
article

Research on the operational efficiency of Chinese fintech companies based on the DEA model

X. Michael Song, Pei Peng, Qin Xuan
article en

Abstract

Fintech is important for China's 'new infrastructure' and for driving strategic innovation at the national level.Measurement systems are constructed considering cost income and company development.The DEA model is used to analyse the operating efficiency and slack variables of 55 listed fintech companies from 2014 to 2019.This paper distinguishes between the establishment years, enterprise attributes, and scale of companies.It concludes that companies with high establishment years are more efficient than those with low establishment years.The average comprehensive technical efficiency changes of non-state-owned enterprises are slightly higher than those with low establishment years.Non-SBM effective enterprises' investment redundancy indicators are total assets, payable employee compensation, and the number of employees, while insufficient output is reflected in net profit's indicator.Based on the research results, suggestions are made to promote the sustainable development of fintech in China, which is significant for the promotion of financial innovation in China.

International Journal of Electronic FinanceVol. 14(1)
National Natural Science Foundation of China, National Office for Philosophy and Social Sciences, National Social Science Fund of China
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
FinTech, Crowdfunding, Digital Finance
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