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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

References (34)

  1. 1 Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis [DOI]
  2. 2 Measuring the efficiency of decision-making units [DOI]
  3. 3 Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software [DOI]
  4. 4 A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency [DOI]
  5. 5 Measuring performance of two-stage network structures by DEA: A review and future perspective [DOI]
  6. 6 Operational efficiency in banking: An international comparison [DOI]
  7. 7 A note on the Malmquist productivity index [DOI]
  8. 8 A study of the relationship between competitiveness and technological innovation capability based on DEA models [DOI]
  9. 9 Efficiency evaluation of green technology innovation of China's strategic emerging industries: An empirical analysis based on Malmquist-data envelopment analysis index [DOI]
  10. 10 Treating undesirable outputs in DEA: A critical review [DOI]
  11. 11 Economics of energy and environmental efficiency: evidence from OECD countries [DOI]
  12. 12 Operational efficiency and effectiveness measurement [DOI]
  13. 13 Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach [DOI]
  14. 14 DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries [DOI]
  15. 15 Regional total-factor productivity and environmental governance efficiency of China’s industrial sectors: A two-stage network-based super DEA approach [DOI]
  16. 16 APPLICATION OF DEA IN BENCHMARKING: A SYSTEMATIC LITERATURE REVIEW FROM 2003–2020 [DOI]
  17. 17 The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach [DOI]
  18. 18 Operating efficiency in Chinese universities: An extended two-stage network DEA approach [DOI]
  19. 19 A study on the efficiency of pediatric healthcare services and its influencing factors in China ——estimation of a three-stage DEA model based on provincial-level data [DOI]
  20. 20 Are smart manufacturing systems beneficial for all SMEs? Evidence from Korea [DOI]
  21. 21 Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application [DOI]
  22. 22 Departmental efficiency differences within a Greek university: An application of a DEA and Tobit analysis [DOI]
  23. 23 Improving business processes for increased operational efficiency: a case study [DOI]
  24. 24 Evaluating the Operational Efficiency and Quality of Tertiary Hospitals in Taiwan: The Application of the EBITDA Indicator to the DEA Method and TOBIT Regression [DOI]
  25. 25 Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates [DOI]
  26. 26 A DEA-based approach to assess manufacturing performance through operations strategy lenses [DOI]
  27. 27 Risk disclosure and firm operational efficiency [DOI]
  28. 28 The efficiency of the healthcare systems in EU countries – A DEA analysis [DOI]
  29. 29 Evaluating radial efficiency considering environmental factors: A generalization of classical DEA [DOI]
  30. 30 Management by Outcomes: Efficiency and Operational Success in the Ambulatory Surgery Center [DOI]
  31. 31 Operational performance model for banks: a dynamic data envelopment approach [DOI]
  32. 32 Cost-Effective Service Excellence: Exploring the Relationships Among Restaurants’ Operational Efficiency, Size and Service Quality [DOI]
  33. 33 Benchmarking the operational expenditures of Brazilian transmission utilities by using DEA models [DOI]
  34. 34 Secure mobile commerce [DOI]

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