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Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach

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  • Cortés-García, J. Salvador
  • Pérez-Rodríguez, Jorge V.
Abstract
This paper estimates the efficiency of Ecuadorian commercial banks from 2007 to 2017, considering multiple inputs and outputs, several factors explaining inefficiency, technological unobserved heterogeneity, and time-varying efficiency. To do this, we used an output distance function stochastic frontier model in a Bayesian framework and considered the profitability approach. In general, the results show evidence of unobserved cross-bank heterogeneity and time-varying inefficiencies, the latter of which presented scores which were high and stable over time. One factor that significantly explains inefficiency is foreign ownership, however internal factors such operating profitability and Central Bank policy reserve requirements did not. Finally, estimated returns to scale show bimodality indicating the existence of two bank groups associated with decreasing and constant returns to scale.

Suggested Citation

  • Cortés-García, J. Salvador & Pérez-Rodríguez, Jorge V., 2024. "Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 164-175.
    • Handle: RePEc:eee:quaeco:v:93:y:2024:i:c:p:164-175
    DOI: 10.1016/j.qref.2023.12.001
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    as
    1. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Ignacio Jiménez-Hernández & Gabriel Palazzo & Francisco Javier Sáez-Fernández, 2019. "Determinants of bank efficiency: evidence from the Latin American banking industry," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 27(81), pages 184-206, October.
    3. George Clarke & Robert Cull & Maria Soledad Martinez Peria & Susana M. S·nchez, 2003. "Foreign Bank Entry: Experience, Implications for Developing Economies, and Agenda for Further Research," The World Bank Research Observer, World Bank, vol. 18(1), pages 25-59.
    4. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    5. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    6. Yeyati, Eduardo Levy & Micco, Alejandro, 2007. "Concentration and foreign penetration in Latin American banking sectors: Impact on competition and risk," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1633-1647, June.
    7. 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).
    8. Berger, Allen N. & Bonaccorsi di Patti, Emilia, 2006. "Capital structure and firm performance: A new approach to testing agency theory and an application to the banking industry," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1065-1102, April.
    9. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    10. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    11. Carvallo, Oscar & Kasman, Adnan, 2005. "Cost efficiency in the Latin American and Caribbean banking systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(1), pages 55-72, January.
    12. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    13. Bos, J.W.B. & Koetter, M. & Kolari, J.W. & Kool, C.J.M., 2009. "Effects of heterogeneity on bank efficiency scores," European Journal of Operational Research, Elsevier, vol. 195(1), pages 251-261, May.
    14. Ariel Gustavo Letti & Mauricio Vaz Lobo Bittencourt & Luis E. Vila, 2022. "Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions," Journal of Productivity Analysis, Springer, vol. 58(1), pages 55-74, August.
    15. Efthymios G. Tsionas & Subal C. Kumbhakar & Emir Malikov, 2015. "Estimation of Input Distance Functions: A System Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1478-1493.
    16. Stewart, Chris & Matousek, Roman & Nguyen, Thao Ngoc, 2016. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 96-111.
    17. Abhiman Das & K. R. Sanmugam, 2004. "Efficiency of Indian commercial banks during the reform period," Industrial Organization 0410005, University Library of Munich, Germany.
    18. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    19. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    20. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    21. Fiordelisi, Franco & Marques-Ibanez, David & Molyneux, Phil, 2011. "Efficiency and risk in European banking," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1315-1326, May.
    22. Vernikov, Andrei & Mamonov, Mikhail, 2018. "Modelling technical efficiency of firms under one-step and two-step approaches (the case of commercial banks)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 67-90.
    23. Adams, Robert M & Berger, Allen N & Sickles, Robin C, 1999. "Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 349-358, July.
    24. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    25. Luisa Ana Unda & Julie Margret, 2015. "Transformation of the Ecuadorian financial system: regulation and response," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 23(1), pages 84-102, February.
    26. Rohit Bansal & Dharmendra Singh & David McMillan, 2021. "Efficiency drivers of insurers in GCC: an analysis incorporating company-specific and external environmental variables," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1922179-192, January.
    27. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    28. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.
    29. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    30. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    31. Biswabhusan Bhuyan & Subhamitra Patra & Ranjan Kumar Bhuian, 2021. "Measurement and determinants of total factor productivity: evidence from Indian banking industry," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 71(7), pages 2970-2990, April.
    32. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    33. Christopoulos, Dimitris K. & Lolos, Sarantis E. G. & Tsionas, Efthymios G., 2002. "Efficiency of the Greek banking system in view of the EMU: a heteroscedastic stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 813-829, December.
    34. Goddard, John & Molyneux, Philip & Williams, Jonathan, 2014. "Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 130-142.
    35. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2012. "The relationship between banking market competition and risk-taking: Do size and capitalization matter?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3366-3381.
    36. Dimitrios Vasiliou & Nikolaos Eriotis & Nikolaos Daskalakis, 2009. "Testing the pecking order theory: the importance of methodology," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 1(2), pages 85-96, June.
    37. A. George Assaf & Carlos Pestana Barros, 2013. "A Global Benchmarking of the Hotel Industry," Tourism Economics, , vol. 19(4), pages 811-821, August.
    38. Adel Achi, 2021. "Efficiency and its determinants in the Algerian banks: network data envelopment analysis and partial least squares regression," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 72(5), pages 1479-1508, December.
    39. Anil K. Kashyap & Jeremy C. Stein, 1994. "Monetary Policy and Bank Lending," NBER Chapters, in: Monetary Policy, pages 221-261, National Bureau of Economic Research, Inc.
    40. Benston, George J & Kaufman, George G, 1996. "The Appropriate Role of Bank Regulation," Economic Journal, Royal Economic Society, vol. 106(436), pages 688-697, May.
    41. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    42. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.
    43. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    44. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    45. Lang, Gunter & Welzel, Peter, 1999. "Mergers among German Cooperative Banks: A Panel-Based Stochastic Frontier Analysis," Small Business Economics, Springer, vol. 13(4), pages 273-286, December.
    46. Lee, Tung-Hao & Chih, Shu-Hwa, 2013. "Does financial regulation affect the profit efficiency and risk of banks? Evidence from China's commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 705-724.
    47. Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    48. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    49. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    50. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    51. 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.
    52. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    53. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    54. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
    55. Chortareas, Georgios E. & Girardone, Claudia & Ventouri, Alexia, 2012. "Bank supervision, regulation, and efficiency: Evidence from the European Union," Journal of Financial Stability, Elsevier, vol. 8(4), pages 292-302.
    56. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
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