DEA Approaches: Variable and Model Selection for Bank’s Efficiency Measurement

Authors

  • Dr. Jasvir S. Sura Associate Professor, Department of Management, Chaudhary Ranbir Singh University, Jind (Haryana), 126102, India
  • Kavita Sandhu Senior Research Fellow, Department of Management, Chaudhary Ranbir Singh University, Jind (Haryana), 126102, India.
  • Dr. Anju Lather Assistant Professor, Department of Commerce, Chottu Ram Kisan College, Jind (Haryana), 126102, India
  • Gourav Senior Research Fellow, Department of Management, Chaudhary Ranbir Singh University, Jind (Haryana), 126102, India.

Keywords:

Data envelopment analysis, approaches, software, efficiency, researchers, Data Envelopment Analysis (DEA)

Abstract

Data Envelopment Analysis (DEA) is one of the most widely used tools for measuring efficiency, especially in the banking sector. However, one of the major issues that arise in front of the researchers or practitioners is the selection of input or output variables. Different DEA approaches are available based on literature review, which views banks from different perspectives; some view banking as an intermediate while others view it as a producer. The main motive of this paper is to provide insight into different approaches of DEA and the specification of variables as input or output variables based on it. The present study discussed five approaches: intermediate, production, asset, value-added, and user cost. Moreover, the study discusses different software for measuring DEA efficiency to provide information to novice researchers or practitioners.

References

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Published

2022-06-30

How to Cite

Dr. Jasvir S. Sura, Kavita Sandhu, Dr. Anju Lather, & Gourav. (2022). DEA Approaches: Variable and Model Selection for Bank’s Efficiency Measurement. Innovative Research Thoughts, 8(2), 132–150. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/1140

Issue

Vol. 8 No. 2 (2022): April-June 2022

Section

Articles

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