Skip to content
Research Article Open access CC BY 4.0

Assessing Operational Efficiency and Technological Progress: An In-depth Study of China’s E-payment Concept Listed Companies Using DEA-Malmquist Index

Ali Elsayed Mahmoud, Heng Zhang, Siqi Liu, Zhiwen Zhu

Journal of Economics, Management and Trade · pp. 66–80 · Published 20 Dec 2023

10.9734/jemt/2023/v29i121176

Abstract

Electronic payment (e-payment) enterprises are third-party e-commerce platforms that provide services for buyers and sellers through network service platforms. This study evaluates the operational efficiency of 42 e-payment concept listed companies in Shanghai and Shenzhen stock markets from 2014 to 2019, using the data envelopment analysis (DEA)-Malmquist index model. The research results show that the overall operational efficiency of e-payment concept listed companies is in a good state, but some companies are constrained by constant or decreasing returns to scale, and should improve their management ability, streamline their organization, integrate their internal resources, accelerate their structural adjustment, reduce their invalid input, and increase their output level. Moreover, e-payment related enterprises should increase their research and development investment, pay attention to technological innovation, and enhance their core competitiveness. Facing the ever-changing market and more and more competitors, enterprises should use time and opportunity as competitive resources, seize the initiative, and avoid being eliminated by the market. This study provides a comprehensive and objective evaluation of the operational efficiency of e-payment concept listed companies in China, and offers some suggestions for improving their performance and competitiveness in the e-payment industry.

E-payment DEA malmquist index operational efficiency China

Cited by 2

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.