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Measuring Bank Branch Performance in Pakistan: Data Envelopment Analysis (DEA)

Author

Listed:
  • Muhammad Imran Qureshi
  • Adeela Rustam
  • Sehrish Rustam
  • Abdullah Bin Umar
  • Khalid Zaman

Abstract

This study provides comparative analysis of different banks branches efficiency in Pakistan during the year 2010. The main objective of the study is to develop an effective model for measuring the relative efficiency and achievable development proficiency of selected bank branches by analyzing their competencies and deficiencies through application of Data Envelopment Analysis. Further more, this study is to measure the production and profitability features of bank branches and examine that how the scale efficiency is determined by size of selected branches. The results of the study indicates that after estimation of efficiency under constant returns to scale, two banks are comparatively efficient and eight banks are comparatively less efficient. The less efficient banks have need to improve their overall system i.e., well equipped technological system and best utilization of all input resources in order to meet the challenging environment and their competitors.

Suggested Citation

  • Muhammad Imran Qureshi & Adeela Rustam & Sehrish Rustam & Abdullah Bin Umar & Khalid Zaman, 2012. "Measuring Bank Branch Performance in Pakistan: Data Envelopment Analysis (DEA)," Oeconomics of Knowledge, Saphira Publishing House, vol. 4(4), pages 25-40, October.
  • Handle: RePEc:eok:journl:v:4:y:2012:i:4:p:25-40
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    References listed on IDEAS

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    Cited by:

    1. Hong‐Jing Lin & Che‐Chien Chen & Yung‐ho Chiu & Tai‐Yu Lin, 2022. "How financial technology (fintech) can improve the business performance of securities firms by using the dynamic data envelopment analysis modified model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1113-1132, June.

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    JEL classification:

    • G00 - Financial Economics - - General - - - General

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