Contribución de las inversiones en recursos humanos según el tipo de eficiencia técnica de la banca múltiple peruana
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Castillo Inche, L. K. ., Tejada Portilla , L. B. ., & Flores Gutiérrez, J. O. (2023). Contribución de las inversiones en recursos humanos según el tipo de eficiencia técnica de la banca múltiple peruana. Acta Universitaria, 33, 1–17. https://doi.org/10.15174/au.2023.3859

Resumen

Se evaluó la contribución de las inversiones en recursos humanos (RRHH) a la eficiencia técnica de la banca múltiple peruana durante el 2021. Además, se demostró qué tipo de frontera de producción prevalece y se generó un plan benchmarking. A una muestra censal de 16 bancos se les midieron tres inputs (remuneraciones al personal, gastos del directorio y activos) y dos outputs (total de depósitos y total de créditos vigentes). Se identificaron siete bancos en la frontera de eficiencia técnica global (ETG), 12 bancos en la de eficiencia técnica pura (ETP) y siete bancos en la de eficiencia de escala (EE). La media de la ETG fue 0.86, la de ETP fue 0.95 y la de EE fue 0.91. Se determinó que prevalecen los rendimientos variables a escala, que la eficiencia de los bancos no varía con el nivel de inversión en recursos humanos, y se formuló un plan de mejoras potenciales.

https://doi.org/10.15174/au.2023.3859
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Abbas, R. A., & Riaz. M. T. (2018). The effect of internal marketing dimensions on organizational commitment of employees: an investigation among private banks. European Online Journal of Natural and Social Sciences, 7(1), 147-165. https://european-science.com/eojnss/article/view/5270

Agarwal, N., Guha, B., Dutta, A., & Bandyopadhyay, G. (2014). Performance measurement of Indian banks using data envelopment analysis. Lecture Notes on Information Theory, 2(3), 289-294. https://doi.org/10.12720/lnit.2.3.289-294

Amin, G. R., & Ibn-Boamah, M. (2020). A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks. Annals of Operations Research, 295, 21–36. https://doi.org/10.1007/s10479-020-03667-9

Anouze, A. L. M., & Bou-Hamad, I. (2019). Data envelopment analysis and data mining to efficiency estimation and evaluation. International Journal of Islamic and Middle Eastern Finance and Management, 12(2), 169-190. https://doi.org/10.1108/IMEFM-11-2017-0302

Apoyo & Asociados (2022). Sistema bancario peruano 2022 [Reporte Sectorial]. https://www.aai.com.pe/wp-content/uploads/2023/04/Sistema-Bancario-Peru%CC%81-2022.pdf

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078

Bejar, P., Ishi, K., Komatsuzaki, T., Shibata, I., Sin, J., & Tambunlertchai, S. (2022). Can fintech foster competition in the banking system in Latin America and the Caribbean?. Latin American Journal of Central Banking, 3(2), 100061. https://doi.org/10.1016/j.latcb.2022.100061

Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: international survey and directions for future research. European Journal of Operational Research, 98(2), 175-212. https://doi.org/10.1016/S0377-2217(96)00342-6

Campoverde, J. A., Romero, C. A., & Borenstein, D. (2019). Evaluación de eficiencia de cooperativas de ahorro y crédito en Ecuador: aplicación del modelo análisis envolvente de datos DEA. Contaduría y Administración, 64(1), 1-19. http://dx.doi.org/10.22201/fca.24488410e.2018.1449

Charles, V., Kumar, M., Zegarra, L. F., & Avolio, B. (2011). Benchmarking Peruvian banks using data envelopment analysis. Journal of CENTRUM Cathedra, 4(2), 147-164. https://ssrn.com/abstract=1927594

Charles, V., & Kumar, M. (2012). Ranking Peruvian banks through super-efficiency DEA under variable returns to scale. In V. Charles & M. Kumar (eds.), Data Envelopment Analysis and its Applications to Management (pp. 116-135). Cambridge Scholars Publishlng. https://www.cambridgescholars.com/product/978-1-4438-4132-0

Charles, V., Tsolas, I. E., & Gherman, T. (2018). Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector. Annals of Operations Research, 269, 81–102. https://doi.org/10.1007/s10479-017-2552-x

Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (1997). Data envelopment analysis: theory, methodology and applications. Journal of the Operational Research Society, 48(3), 332-333. https://doi.org/10.1057/palgrave.jors.2600342

Chortareas, G. E., Garza-Garcia, J. G., & Girardone, C. (2011). Banking sector performance in Latin America: market power versus efficiency. Review of Development Economics, 15(2), 307–325. https://doi.org/10.1111/j.1467-9361.2011.00610.x

Chowdhury, A. I., Uddin, M. S., Ahmmed, M., Hassan, M. R., & Kabir, M. J. (2023). Potential risks of liquidity and credit affecting the efficiency of Islamic banks in Bangladesh. Cogent Economics & Finance, 11(1), 1-23. https://doi.org/10.1080/23322039.2023.2209950

Cofré, L., Améstica, L., King, A., & Romero, R. (2019). Eficiencia del sector bancario en Chile ante cambios en las regulaciones de protección al consumidor financiero. Cuadernos de Contabilidad, 20(50), 51-71. https://doi.org/10.11144/Javeriana.cc20-50.esbc

Comelli, A., Kroenke, A., & Hein, N. (2017). Eficiência dos bancos de capital aberto no Brasil: uma análise DEA. Anales de ASEPUMA, 25(210), 1-21. http://www.asepuma.org/anales/articulos/Anales.Vol25.N1.19.pdf

Cotrim, I., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2018). Efficiency in the Brazilian banking system using data envelopment analysis. Future Business Journal, 4(2), 157-178. https://doi.org/10.1016/j.fbj.2018.05.001

Davidovic, M., Uzelac, O., & Zelenovic, V. (2019). Efficiency dynamics of the croatian banking industry: DEA investigation. Economic Research, 32(1), 33-49. https://doi.org/10.1080/1331677X.2018.1545596

Drake, L., Hall, M. J. B., & Simper, R. (2006). The impact of macroeconomic and regulatory factors on bank efficiency: a non-parametric analysis of Hong Kong’s banking system. Journal of Banking and Finance, 30(5), 1443-1466. https://doi.org/10.1016/j.jbankfin.2005.03.022

Fitrianti, R., & Nurbayani, S. U. (2021). The efficiency of Islamic banks and conventional banks in Indonesia using data envelopment analysis approach. Psychology and Education Journal, 58(1), 375-381. https://doi.org/10.17762/pae.v58i1.784

Ghahraman, A., & Prior, D. (2016). A learning ladder to ward efficiency: proposing network-based stepwise benchmark selection. Omega, 63, 83-93. https://doi.org/10.1016/j.omega.2015.10.004

Gómez, J. C. (2012). Eficiencia y diversificación: sector de cajas de ahorros: 2000-2009 [Tesis doctoral]. https://digitum.um.es/digitum/handle/10201/28510

Guillén, J., Rengifo, E. W., & Ozsoz, E. (2014). Relative power and efficiency as a main determinant of banks' profitability in Latin America. Borsa Istanbul Review, 14(2), 119-125. https://doi.org/10.1016/j.bir.2014.02.003

Haider, M. A., Raza, Q., Jamel, S., & Pervaiz, K. (2019). A comparative study of operational efficiency of Pakistani and Malaysian Islamic banks: data envelopment analysis approach. Asian Economic and Financial Review, 9(5), 559-580. https://doi.org/10.18488/journal.aefr.2019.95.559.580

Havranek, T., Irsova, Z., & Lesanovska, J. (2016). Bank efficiency and interest rate pass-through: evidence from Czech loan products. Economic Modelling, 54, 153-169. https://doi.org/10.1016/j.econmod.2016.01.004

Henriques, I. C., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2018). Efficiency in the Brazilian banking system using data envelopment analysis. Future Business Journal, 4(2), 157–178. https://doi.org/10.1016/j.fbj.2018.05.001

Hordones, C., & Zoratto, A. (2021). Structure, market power, and profitability: evidence from the banking sector in Latin America. Revista Contabilidad Financiera, 32(85), 126-142. https://doi.org/10.1590/1808-057x202010490

Horvat, A. M., Milenkovic, N., Dudic, B., Kalaš, B., Radovanov, B., & Mittelman, A. (2023). Evaluating bank efficiency in the west Balkan countries using Data Envelopment. Mathematics, 11(1), 1-15. https://doi.org/10.3390/math11010015

Hosen, M. N., Amalia, Z. R., & Muhari, S. (2016). Comparison of efficiency in conventional and Islamic banks using data envelopment analysis (DEA). Journal of Islamic Banking & Finance, 33(3), 84-95. https://islamicbanking.asia/comparison-of-efficiency-in-conventional-and-islamic-banks-using-data-envelopment-analysis-dea/

Ji, L., Sun, Y., Liu, J., & Chiu, Y. (2023). Environmental, social, and governance (ESG) and market efficiency of China’s commercial banks under market competition. Environmental Science and Pollution Research, 30, 24533–24552. https://doi.org/10.1007/s11356-022-23742-x

Jreisat, A., Rabbani, M. R., Omran, S., Al-Mohamad, S., & Bakry, W. (2022). An examination of the banking efficiency of the BRICS countries: a perspective derived from the oil price volatility. Cogent Economics & Finance, 10(1), 2142315. https://doi.org/10.1080/23322039.2022.2142315

Konar, P., Sinha, R. P., Ghosh, S., & Guha, B. (2022). Fund-based activity of Indian small finance banks: a fuzzy DEA Approach. Studies in Microeconomics. https://doi.org/10.1177/23210222221122159

Korneyev, M., Berezhniuk, I., Dzhyndzhoian, V., Nebaba, N., & Voytov, S. (2022). Efficiency assessment of banking systems’ performance. Banks and Bank Systems, 17(3), 72-88. https://doi.org/10.21511/bbs.17(3).2022.07

Krishnasamy, G., Hanuum, A., & Perumal, V. (2004). Malaysian post merger banks’ productivity: application of Malmquist productivity index. Managerial Finance, 30(4), 63-73. https://doi.org/10.1108/03074350410769038

Kristjanpoller, W., & Saavedra, R. (2014). La eficiencia técnica de los bancos durante la crisis. Caso aplicado a la rentabilidad de la banca comercial en México y Chile. Contaduría y Administración, 59(1), 95-122. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0186-10422014000100005

Lartey, T., James, G. A., & Danso, A. (2021). Interbank funding, bank risk exposure and performance in the UK: a three-stage network DEA approach. International Review of Financial Analysis, 75, 101–753. https://doi.org/10.1016/j.irfa.2021.101753

León, J. V. (2009). An empirical analysis of Peruvian municipal banks using cost-efficiency frontier approaches. Canadian Journal of Development Studies, 29(1-2), 161-182. https://doi.org/10.1080/02255189.2009.9669252

Li, D., Li, Y., Gong, Y., & Yang, J. (2021). Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma. Journal of Productivity Analysis, 56(2), 151–170. https://doi.org/10.1007/s11123-021-00614-z

Li, Z., Feng, C., & Tang, Y. (2022). Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis. Annals of Operations Research, 315, 279-315. https://doi.org/10.1007/s10479-022-04597-4

Maredza, A., Wanke, P., Antunes, J., Pimenta, R., & Tan, Y. (2022). Social welfare and bank performance: evidence from a stochastic neural hybrid MCDM approach. Journal of Economic Studies, 49(7), 1137-1158. https://doi.org/10.1108/JES-05-2021-0236

Martens, W., Yapa, P., Safari, M., & Watts, S. (2021). The influence of earnings management on bank efficiency: the case of frontier markets. Heliyon, 7(10), e08232. https://doi.org/10.1016/j.heliyon.2021.e08232

Martín, R. (2008). La medición de la eficiencia universitaria: una aplicación del análisis envolvente de datos. Formación Universitaria, 1(2), 17-26. http://dx.doi.org/10.4067/S0718-50062008000200004

Masum, A. K. M., Azad, M. A. K., & Beh, L. (2015). The role of human resource management practices in bank performance. Total Quality Management & Business Excellence, 27(3-4), 382-397. https://doi.org/10.1080/14783363.2014.1002762

Maudos, J., Pastor, J. M., & Pérez, F. (2002). Competition and efficiency in the Spanish banking sector: the importance of specialization. Applied Financial Economics, 12(7), 505–516. https://doi.org/10.1080/09603100010007977

MaxDEA (2023). MaxDEA Software Ltd [software de computación]. http://maxdea.com/MaxDEA.htm

Molinos-Senante, M., Sala-Garrido, R., & Lafuente, M. (2015). The role of environmental variables on the efficiency of water and sewerage companies: a case study of Chile. Environmental Science and Pollution Research, 22(13), 10242–10253. https://doi.org/10.1007/s11356-015-4225-0

Moquillaza, L. C. (2019). Optimización de la eficiencia operativa de las oficinas de un banco comercial peruano utilizando Data Envelopment Analysis. Pesquimat, 22(2), 15–34. http://dx.doi.org/10.15381/pesquimat.v22i2.17229

Naimy, V. Y., & Chukri, J. (2016). Measuring the efficiency of Lebanese banks after the 2007 financial crisis and the turmoil of the 2011 Arab Spring. Aestimatio: The IEB International Journal of Finance, (13), 46-63. https://dialnet.unirioja.es/servlet/articulo?codigo=5904078

Patra, B., Padhan, P. C., & Padhi, P. (2023). Efficiency of Indian banks – private versus public sector banks: a two-stage analysis. Cogent Economics & Finance, 11, 2163081. https://doi.org/10.1080/23322039.2022.2163081

Piraquete, J. E., Piñeros, J. H., & Mondragón, L. (2013). Eficiencia en los establecimientos bancarios (EB): una aproximación mediante modelos DEA. Borradores de Economía, (798), 1-39. https://www.banrep.gov.co/sites/default/files/publicaciones/archivos/be_798.pdf

Proaño-Rivera, B., & Feria-Dominguez, J. M. (2023). Are Ecuadorian banks enough technically efficient for growth? A clinical study. International Journal of Finance & Economics, 1076-9307. https://doi.org/10.1002/ijfe.2775

Raith, A., Rouse, P., & Seiford, L. M. (2018). Benchmarking using data envelopment analysis: application to stores of a post and banking business. En S. Huber, M. Geiger, & A. de Almeida (eds.), Multiple criteria decision making and aiding. International series in operations research & management science (pp. 1-39). Springer. https://doi.org/10.1007/978-3-319-99304-1_1

Rajaprasad, S. V. S., Rao, Y. V. S. S. V. P., & Chalapathi, P. V. (2013). Evaluation of safety performance in Indian construction segments using data envelopment analysis. Asia Pacific Journal of Business and Management, 4(1), 1-13. https://uunz.ac.nz/wp-content/uploads/2018/07/20131.pdf

Razipour-Ghalehjough, S., Lotfi, F. H., Rostamy-Malkhalifeh, M., & Sharafi, H. (2021). Benchmarking bank branches: a dynamic DEA approach. Journal of Information and Optimization Sciences, 42(6), 1–34. https://doi.org/10.1080/02522667.2020.1833441

Rossi, R. G., & Rossi, R. M. (2022). Análisis del riesgo de quiebra de instituciones financieras peruanas, 2015-2021. Revista Mexicana de Economía y Finanzas, 17(3), e735. https://doi.org/10.21919/remef.v17i3.735

San-Jose, L., Retolaza, J. L., & Lamarque, E. (2018). The social efficiency for sustainability: European cooperative banking analysis. Sustainability (Switzerland), 10(9), 1-21. https://doi.org/10.3390/su10093271

Sari, S., Ajija, S. R., Wasiaturrahma, W., & Ahmad, R. A. R. (2022). The efficiency of Indonesian commercial banks: does the banking industry competition matter? Sustainability, 14(17), 10995. http://dx.doi.org/10.3390/su141710995

Sarmiento, M., Mutis, H., Cepeda, A., & Pérez, J. F. (2018). Impacto de las fusiones y adquisiciones en la eficiencia de la banca en Colombia. Revista de Economía Institucional, 20(38), 157-183. https://doi.org/10.18601/01245996.v20n38.07

Saroy, R., Jain, P., Awasthy, S., & Chandra, S. (2023). Impact of digital payment adoption on Indian banking sector efficiency. Journal of Banking and Financial Technology. https://doi.org/10.1007/s42786-023-00047-2

Seffino, M., & Hoyos, D. (2016). Eficiencia bancaria en Argentina. Comportamiento de los bancos entre 2005 y 2013. Estudios Gerenciales, 32, 44-50. https://doi.org/10.1016/j.estger.2015.12.002

Shah, W. U. H., Hao, G., Yan, H., & Yasmeen, R. (2022). Efficiency evaluation of commercial banks in Pakistan: a slacks-based measure Super-SBM approach with bad output (Non-performing loans). PLoS ONE 17(7), e0270406. https://doi.org/10.1371/journal.pone.0270406

Sheykhi, M. T. (2021). Human capital vs. quality of life: a sociological appraisal. Studies in Social Science Research, 3(1), 7–15. http://dx.doi.org/10.22158/sssr.v3n1p7

Shi, X., Wang, L., & Emrouznejad, A. (2023). Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model. Socio-Economic Planning Sciences, 90, 101702. https://doi.org/10.1016/j.seps.2023.101702

Sirisunhirun, S., & Vajrapatkul, A. (2023). An application of data envelopment analysis and Malmquist productivity index in the development of human capital of ASEAN-5 countries. Thailand and the World Economy, 41(3), 88-101. https://so05.tci-thaijo.org/index.php/TER/article/view/267629

Superintendencia de Banca, Seguros y AFP (SBS). (2023). Información estadística de banca múltiple. https://www.sbs.gob.pe/app/stats_net/stats/EstadisticaBoletinEstadistico.aspx?p=1#

Tortosa-Ausina, E., Grifell-Tatjé, E., Armero, C., & Conesa, D. (2008). Sensitivity analysis of efficiency and Malmquist productivity indices: an application to Spanish savings banks. European Journal of Operational Research, 184(3), 1062-1064. https://doi.org/10.1016/j.ejor.2006.11.035

Uddin, M. N., Rashid, M. H. U., & Rahman, M. T. (2022). Profitability, marketability, and CSR disclosure efficiency of the banking industry in Bangladesh. Heliyon, 8(11), e11904. https://doi.org/10.1016/j.heliyon.2022.e11904

Yıldırım, I. (2017). Financial efficiency analysis of Islamic banks in the QISMUT countries. Journal of Islamic Economics and Finance, 3(2), 187-216. https://dergipark.org.tr/tr/download/article-file/402832

Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets. Springer. https://doi.org/10.1007/978-3-319-06647-9