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On The Sources Of Heterogeneity In Banking Efficiency Literature

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  • Francesco Aiello
  • Graziella Bonanno

Abstract

This study reviews the empirical literature on banking efficiency by conducting a meta†regression analysis. The meta†dataset consists of 1661 observations retrieved from 120 papers published over the period 2000–2014. While the role of study design and method†specific characteristics of primary studies is evaluated, the focus concerns regulation in banking. The results are fourfold. First, parametric methods always yield lower levels of banking efficiency than non†parametric studies. Second, banking efficiency is higher in studies using the value†added approach rather than the intermediation method. Third, efficiency scores also depend on the journal's ranking and on the number of observations and variables used in the primary papers. Finally, regulation matters: primary papers focusing on countries with a liberalized banking industry provide higher values for efficiency scores.

Suggested Citation

  • Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    • Handle: RePEc:bla:jecsur:v:32:y:2018:i:1:p:194-225
    DOI: 10.1111/joes.12193
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    4. Francesco Aiello & Graziella Bonanno & Francesco Foglia, 2021. "On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis," Working Papers 202102, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    5. Zaman, Mohammad Shahid & Valiyattoor, Vipin & Bhandari, Anup Kumar, 2022. "Dynamics of total factor productivity growth: An empirical analysis of Indian commercial banks," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
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    7. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    9. Francesco Aiello & Graziella Bonanno & Luigi Capristo, 2017. "Explaining Differences In Efficiency: The Case Of Local Government Literature," Working Papers 201704, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    10. Angela Pîslaru & Matei Kubinschi & Florian Neagu, 2023. "Does it pay off to invest in bank staff training? Survey‐based evidence from an emerging market banking sector," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1055-1072, October.
    11. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    12. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    13. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    14. Evžen Kočenda & Ichiro Iwasaki, 2022. "Bank survival around the world: A meta‐analytic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 108-156, February.
    15. Graziella Bonanno & Lucia Errico & Nadia Fiorino & Roberto Ricciuti, 2024. "The Impact of Government Size on Corruption: A Meta-Regression Analysis," CESifo Working Paper Series 10956, CESifo.
    16. Quang T. T. Nguyen & Son T. B. Nguyen & Quang V. Nguyen, 2019. "Can Higher Capital Discipline Bank Risk: Evidence from a Meta-Analysis," JRFM, MDPI, vol. 12(3), pages 1-21, August.
    17. Phuc Trong Ho & Michael Burton & Chunbo Ma & Atakelty Hailu, 2022. "Quantifying heterogeneity, heteroscedasticity and publication bias effects on technical efficiency estimates of rice farming: A meta‐regression analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 580-597, June.
    18. Fall, François & Akim, Al-mouksit & Wassongma, Harouna, 2018. "DEA and SFA research on the efficiency of microfinance institutions: A meta-analysis," World Development, Elsevier, vol. 107(C), pages 176-188.
    19. Gerasimos T. Soldatos, 2020. "Technical inefficiency and output scale in banking and industry," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 270-278.
    20. Francesco Aiello & Graziella Bonanno, 2019. "Explaining Differences In Efficiency: A Meta‐Study On Local Government Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 999-1027, July.
    21. Agostino, Mariarosaria & Ruberto, Sabrina & Trivieri, Francesco, 2023. "The role of local institutions in cooperative banks’ efficiency. The case of Italy," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 84-103.
    22. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    23. Mohamed E. Chaffai, 2022. "New evidence on Islamic and conventional bank efficiency: A meta‐regression analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 221-246, January.
    24. Johann Burgstaller, 2020. "Retail‐bank efficiency: Nonstandard goals and environmental determinants," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(2), pages 269-301, June.

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    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L43 - Industrial Organization - - Antitrust Issues and Policies - - - Legal Monopolies and Regulation or Deregulation
    • K20 - Law and Economics - - Regulation and Business Law - - - General

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