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Labour-use Efficiency of Assam Gramin Vikash Bank: Branch- and District-level Analysis

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  • Mohuya Deb Purkayastha
  • Joyeeta Deb
  • Ram Pratap Sinha

Abstract

The present study estimated labour-use efficiency of 48 branches of Assam Gramin Vikash Bank at its branch level, covering three districts of Barak Valley, which falls under Silchar region of the bank for the time period from 2010–2011 to 2017–2018. The study applied data envelopment analysis for estimating labour-use efficiency. In the second stage, the study applied censored Tobit regression for determining the impact of several contextual variables on efficiency. The study reveals that the mean labour-use efficiency score of the selected branches is 76% when averaged for the in-sample branches over the observation period. Results of the Tobit regression identified cluster 2 and total business of the branches as the significant factors for determining efficiency and the number of employees as a significant variable influencing inefficiency. JEL Classifications: G2, G20, G21, J3

Suggested Citation

  • Mohuya Deb Purkayastha & Joyeeta Deb & Ram Pratap Sinha, 2023. "Labour-use Efficiency of Assam Gramin Vikash Bank: Branch- and District-level Analysis," Studies in Microeconomics, , vol. 11(1), pages 60-75, April.
  • Handle: RePEc:sae:miceco:v:11:y:2023:i:1:p:60-75
    DOI: 10.1177/23210222211024374
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    References listed on IDEAS

    as
    1. Ram Pratap Sinha, 2006. "Spread Efficiency Of Indian Commercial Banks," The IUP Journal of Bank Management, IUP Publications, vol. 0(4), pages 39-58, November.
    2. Sunil Kumar & Rachita Gulati, 2014. "Deregulation and Efficiency of Indian Banks," India Studies in Business and Economics, Springer, edition 127, number 978-81-322-1545-5, December.
    3. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
    6. Subhash C. Ray, 2014. "Branching Efficiency in Indian Banking: An Analysis of a Demand-Constrained Network," Working papers 2014-34, University of Connecticut, Department of Economics.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2008. "Labour use efficiency in the Indian and Pakistani commercial banks," Journal of Asian Economics, Elsevier, vol. 19(3), pages 259-293, June.
    9. Sylvanus I. Ikhide, 2008. "Measuring The Operational Efficiency Of Commercial Banks In Namibia," South African Journal of Economics, Economic Society of South Africa, vol. 76(4), pages 586-595, December.
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    More about this item

    Keywords

    Microeconomics; producer choice; rational choice and individual decision-making; social choice;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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