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Banking Efficiency Determinants in India: A Two-stage Analysis

Author

Listed:
  • Rishabh Goswami
  • Farah Hussain

    (Farah Hussain is at the Tezpur University, Assam, India, e-mail: farah@tezu.ernet.in)

  • Manish Kumar

    (Manish Kumar is at the Tezpur University, Assam, India, e-mail: manish@tezu.ernet.in)

Abstract

This study aims at measuring the technical efficiency of banks in India and examining its determinants. Efficiency is said to be achieved if a bank is able to maximise its output subject to limited inputs. To obtain technical efficiency score, input-oriented Malmquist Data Envelopment Analysis is applied on two outputs and three input variables, based on a VRS (variable returns to scale) assumption. Three foreign banks—namely, A B Bank Ltd, Bank of Ceylon, and Citibank N A—and two Indian banks—namely, HDFC Bank and State Bank of India—are found to be most efficient during the study period. The efficiency scores when subsequently used as the dependent variable along with independent variables—bank size, capitalisation, liquidity risk, returns on assets, interest rate, credit risk, market concentration and gross domestic product (GDP)—in a panel regression analysis found the fixed effect model to be more appropriate in explaining the determinants. The results reveal that liquidity risk, returns on assets, credit risk, market concentration and GDP have a significant effect on the technical efficiency, while banks size, interest rate and level of capitalisation are found to be insignificant variables. JEL Classification: G21, C13, C60

Suggested Citation

  • Rishabh Goswami & Farah Hussain & Manish Kumar, 2019. "Banking Efficiency Determinants in India: A Two-stage Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(4), pages 361-380, November.
    • Handle: RePEc:sae:mareco:v:13:y:2019:i:4:p:361-380
    DOI: 10.1177/0301574219868373
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    as
    1. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    2. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    3. Tugba Eyceyurt Batir & David A. Volkman & Bener Gungor, 2017. "Determinants of bank efficiency in Turkey: Participation banks versus conventional banks," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(2), pages 86-96, June.
    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. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Altunbas, Yener & Evans, Lynne & Molyneux, Philip, 2001. "Bank Ownership and Efficiency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 926-954, November.
    7. Francesco Aiello & Graziella Bonanno, 2016. "Looking at the determinants of efficiency in banking: evidence from Italian mutual-cooperatives," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 507-526, July.
    8. Bhaumik, Sumon Kumar & Dimova, Ralitza, 2004. "How important is ownership in a market with level playing field?: The Indian banking sector revisited," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 165-180, March.
    9. Claudia Girardone & Philip Molyneux & Edward Gardener, 2004. "Analysing the determinants of bank efficiency: the case of Italian banks," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 215-227.
    10. Delis, Manthos D & Papanikolaou, Nikolaos I, 2009. "Determinants of bank efficiency: Evidence from a semi-parametric methodology," MPRA Paper 13893, University Library of Munich, Germany.
    11. Abhiman Das & Saibal Ghosh, 2006. "Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period," Review of Financial Economics, John Wiley & Sons, vol. 15(3), pages 193-221.
    12. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    13. Rangan, Nanda & Grabowski, Richard & Aly, Hassan Y. & Pasurka, Carl, 1988. "The technical efficiency of US banks," Economics Letters, Elsevier, vol. 28(2), pages 169-175.
    14. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    15. Rakesh Mohan & Partha Ray, 2017. "Indian Financial Sector: Structure, Trends and Turns," IMF Working Papers 2017/007, International Monetary Fund.
    16. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Bank-specific, Industry-specific and Macroeconomic Determinants of Bank Efficiency," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(4), pages 427-461, November.
    17. Sunil Kumar & Rachita Gulati, 2009. "Technical efficiency and its determinants in the Indian domestic banking industry: an application of DEA and Tobit analysis," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 1(3), pages 256-296.
    18. James Odeck, 2007. "Measuring technical efficiency and productivity growth: a comparison of SFA and DEA on Norwegian grain production data," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2617-2630.
    19. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    20. Lin, Kun-Li & Doan, Anh Tuan & Doong, Shuh-Chyi, 2016. "Changes in ownership structure and bank efficiency in Asian developing countries: The role of financial freedom," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 19-34.
    21. Tai–Hsin Huang & Mei–Hui Wang, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non–parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
    22. Lensink, Robert & Meesters, Aljar & Naaborg, Ilko, 2008. "Bank efficiency and foreign ownership: Do good institutions matter?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 834-844, May.
    23. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
    24. Fadzlan Sufian, 2010. "The impact of risk on technical and scale efficiency: empirical evidence from the China banking sector," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 12(1), pages 37-71.
    25. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    26. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

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    2. Clement Olalekan Olaniyi & Titus Ayobami Ojeyinka & Xuan Vinh Vo & Mamdouh Abdulaziz Saleh Al‐Faryan, 2023. "Do business strategies vary across firms in the banking industry? New perspectives from the bank size–profitability nexus," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 525-544, January.
    3. Maria Elisabete Neves & Catarina Proença & António Dias, 2020. "Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach," JRFM, MDPI, vol. 13(11), pages 1-19, November.
    4. Ayobami Ojeyinka, Titus & Enisan Akinlo, Anthony, 2021. "Does Bank Size Affect Efficiency? Evidence From Commercial Banks In Nigeria," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(1), pages 79-100, June.
    5. Proença, Catarina & Augusto, Mário & Murteira, José, 2023. "The effect of earnings management on bank efficiency: Evidence from ECB-supervised banks," Finance Research Letters, Elsevier, vol. 51(C).
    6. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    7. Wasi Ul Hassan Shah & Gang Hao & Nan Zhu & Rizwana Yasmeen & Ihtsham Ul Haq Padda & Muhammad Abdul Kamal, 2022. "A cross-country efficiency and productivity evaluation of commercial banks in South Asia: A meta-frontier and Malmquist productivity index approach," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-17, April.

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    More about this item

    Keywords

    Banks; Efficiency Determinants; Malmquist DEA; Balanced Panel; Fixed Effect Estimation;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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