Exploring the influence of fintech patents on operation efficiency and market efficiency in Taiwan's commercial banking sector‐meta entropy dynamic two‐stage DDF model

This paper presents a meta entropy dynamic two‐stage DDF model, incorporating significant patents in financial technology (fintech) into the analysis to examine the operational and market efficiencies of banks in Taiwan, providing new insights for research on banking performance and government polic...

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Bibliographic Details
Published in:Managerial and decision economics 2024-09, Vol.45 (6), p.4276-4291
Main Authors: Lee, Sin, Chang, Tzu‐Han, Chiu, Yung‐ho
Format: Article
Language:English
Subjects:
Banking
Entropy
Holding companies
Public policy
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Summary:This paper presents a meta entropy dynamic two‐stage DDF model, incorporating significant patents in financial technology (fintech) into the analysis to examine the operational and market efficiencies of banks in Taiwan, providing new insights for research on banking performance and government policy. The results show the following. (1) The most efficient bank is Cathay Financial, while the bottom three are First Financial, E.SUN Financial, and Hua Nan Financial. (2) Financial holding companies (FHCs) outperform non‐FHCs in both operational and market stages. (3) The number of patents has a positive impact on the market stage efficiency of banks.
ISSN:0143-6570
1099-1468
DOI:10.1002/mde.4250