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Data Envelopment Analysis on Relative Efficiency Assessment and Improvement: Evidence from Chinese Bank Branches

  • 2022
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the efficiency assessment of Chinese bank branches using Data Envelopment Analysis (DEA), a nonparametric methodology suitable for the banking sector. Unlike previous studies that focused on macro-level analyses, this chapter provides a micro-level evaluation, examining the efficiency of individual bank branches. By collecting data from 18 branches of a large commercial bank, the study calculates both overall and average productivity, offering a nuanced view of efficiency per capita. Furthermore, the analysis introduces environmental indices to evaluate branches under varying conditions, enabling tailored improvement strategies. The chapter concludes with practical resolutions for enhancing bank efficiency, making it a valuable resource for professionals seeking to optimize branch performance.

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Title
Data Envelopment Analysis on Relative Efficiency Assessment and Improvement: Evidence from Chinese Bank Branches
Authors
Meifen Chu
Guangyuan Zhou
Wenfeng Wu
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-94036-2_9
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