Analysis of the effect of bank size, credit risk, and capital adequacy on cost efficiency of banks in Indonesia (SFA method)
DOI:
https://doi.org/10.24914/jeb.v25i2.4825Keywords:
Cost efficiency, intermediary of the bank, SFA analysis, the core of capitalAbstract
Many banks are competing to achieve bank cost efficiency for business continuity amidst the competition in the banking sector. So banks need to review cost-efficiency regularly. The purpose of this study was to analyze determinants of bank cost efficiency. Variable use bank size, capital adequacy, return on asset, group of the bank, credit risk, economic growth, and inflation on bank cost efficiency in Indonesia. Determination of bank input and output variables using a bank intermediation approach. This study used panel data on 38 banks in Indonesia for the period 2012-2018. This paper used the Stochastic Frontier Analysis (SFA) analysis method. The results of this study reveal four things. First, bank size has a negative effect bank cost efficiency. Second, credit risk has a positive effect on bank cost efficiency. Third, capital adequacy has a positive effect on bank efficiency. Fourth, the small core capital bank group has a negative effect on bank cost efficiency. Bank external variables do not affect bank cost efficiency in Indonesia.
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References
Andor, M., & Hesse, F. (2011). A Monte Carlo Simulation comparing DEA, SFA and two simple approaches to combine efficiency estimates. In CAWM Discussion Paper (Issue 51). http://hdl.handle.net/10419/51383
Apriyana, A., Hasanah, H., & Siregar, H. (2015). Faktor-faktor yang memengaruhi efisiensi biaya perbankan di kawasan ASEAN-5. Jurnal Manajemen Teknologi, 14(3), 321–333. https://doi.org/10.12695/jmt.2015.14.3.6
Bank Indonesia. (2018). Penguatan SSK dalam upaya menjaga momentum pertumbuhan (Kajian Stabilitas Keuangan No. 30, Issue Maret).
Batir, T. E., Volkman, D. A., & Gungor, B. (2017). Determinants of bank efficiency in Turkey: Participation banks versus conventional banks. Borsa Istanbul Review, 17(2), 86–96. https://doi.org/10.1016/j.bir.2017.02.003
Belotti, F., Daidone, S., Ilardi, G., & Atella, V. (2013). Stochastic Frontier Analysis using Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 13(4), 719–758. https://doi.org/10.1177/1536867X1301300404
Berger, A. N., & DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking & Finance, 21(6), 849–870. https://doi.org/10.1016/S0378-4266(97)00003-4
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
Buchory, H. A. (2015). Capital, operational efficiency and credit risk in the banking intermediation. Proceedings of the International Conference on Economics and Banking 2015, Series Advances in Economics, Business and Management Research. https://doi.org/10.2991/iceb-15.2015.27
Coelli, T. J. (1996). A guide to frontier version 4.1: A computer program for stochastic frontier production and cost function estimation (07/96; Centre for Efficiency and Productivity Analysis Working Paper).
Dong, Y., Hamilton, R., & Tippett, M. (2014). Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis. Economic Modelling, 36, 298–308. https://doi.org/10.1016/j.econmod.2013.09.042
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Fang, Y., Hasan, I., & Marton, K. (2011). Bank efficiency in South-Eastern Europe. Economics of Transition, 19(3), 495–520. https://doi.org/10.1111/j.1468-0351.2011.00420.x
Fiorentino, E., Karmann, A., & Koetter, M. (2006). The cost efficiency of German banks: A comparison of SFA and DEA. In Discussion Paper Series 2: Banking and Financial Studies (No. 10; 2, Issue 10). https://doi.org/10.2139/ssrn.947340
Hadad, M. D., Santoso, W., Mardanugraha, E., & Illyas, D. (2003). Pendekatan parametrik untuk efisiensi perbankan Indonesia. In Research Paper Biro Stabilitas Sistem Keuangan Bank Indonesia (4/5).
Imran, K. (2018). Cost efficiency of banking sector of Bangladesh: Evidence using the stochastic frontier analysis. Asian Journal of Empirical Research, 8(6), 208–224. https://doi.org/10.18488/journal.1007/2018.8.6/1007.6.208.224
Kallel, H., Ben Hamad, S., & Triki, M. (2019). Modeling the efficiency of Tunisian and Moroccan banks using the SFA approach. International Journal of Productivity and Performance Management, 68(5), 879–902. https://doi.org/10.1108/IJPPM-03-2018-0099
Karimah, S., Novianti, T., & Effendi, J. (2016). Kajian efisiensi bank umum syariah di Indonesia. Al-Muzara’ah, 4(1), 33–43. https://doi.org/10.29244/jam.4.1.33-43
Kuchler, A. (2013). The efficiency of Danish banks before and during the crisis: A comparison of DEA and SFA. In Danmarks Nationalbank Working Papers (No. 87).
Kurnia, A. S. (2004). Mengukur efisiensi intermediasi sebelas bank terbesar Indonesia dengan pendekatan Data Envelopment Analysis (DEA). Jurnal Bisnis Strategi, 13(2), 126–140. https://doi.org/10.14710/jbs.13.2.126-140
Marsondang, A., Purwanto, B., & Mulyati, H. (2020). Pengukuran efisiensi serta analisis faktor internal dan eksternal bank yang memengaruhinya. Jurnal Manajemen Dan Organisasi, 10(1), 48–62. https://doi.org/10.29244/jmo.v10i1.28860
Masitoh, S., & Gustyana, T. T. (2019). Efisiensi biaya dan keuntungan pada bank domestik yang termasuk LQ45 dan bank asing. Jurnal SIKAP (Sistem Informasi, Keuangan, Auditing Dan Perpajakan), 3(2), 98–111. https://doi.org/10.32897/jsikap.v3i2.117
Newell, G., & Peng, H.-W. (2009). The impact of the global financial crisis on A-REITs. Pacific Rim Property Research Journal, 15(4), 453–470. https://doi.org/10.1080/14445921.2009.11104291
Ngan, L. T. T. (2014). Profit and cost efficiency analysis in banking sector : A case of stochastic frontier approach for Vietnam. Journal of Knowledge Management, Economics and Information Technology, IV(5), 1–17.
Ngo, T., & Tripe, D. (2016). Stochastic cost frontier analysis – A sensitivity analysis on cost measures. Pacific Accounting Review, 28(4), 401–410. https://doi.org/10.1108/PAR-03-2016-0028
Niţoi, M., & Spulbar, C. (2015). An examination of banks’ cost efficiency in Central and Eastern Europe. Procedia Economics and Finance, 22(November 2014), 544–551. https://doi.org/10.1016/S2212-5671(15)00256-7
Otoritas Jasa Keuangan. (2018). Laporan tahunan 2018: Memacu pertumbuhan.
Otoritas Jasa Keuangan. (2019). Statistik Perbankan Indonesia (SPI) Desember 2018.
Prima, A. B. (2018). Analisis kinerja keuangan bank di Indonesia sebelum dan sesudah merger (Studi pada perusahaan domestik yang merger dengan kepemilikan asing). Jurnal Ilmiah Mahasiswa FEB Universitas Brawijaya, 6(2), 1–21.
Rahmawati, R. (2015). Strategi peningkatan efisiensi biaya pada bank umum syariah berbasis stochastic frontier approach dan data envelopment analysis. Buletin Ekonomi Moneter Dan Perbankan, 17(4), 457–480. https://doi.org/10.21098/bemp.v17i4.506
Sealey, C. W., & Lindley, J. T. (1977). Inputs, outputs, and a theory of production and cost at depository financial institutions. The Journal of Finance, 32(4), 1251–1266. https://doi.org/10.1111/j.1540-6261.1977.tb03324.x
Silva, T. C., Tabak, B. M., Cajueiro, D. O., & Dias, M. V. B. (2017). A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks. Physica A: Statistical Mechanics and Its Applications, 469, 216–223. https://doi.org/10.1016/j.physa.2016.11.041
Sunardi, N. (2017). Pengaruh intellectual capital, FDR dan CAR terhadap efisiensi biaya dan implikasinya pada kinerja perusahaan bank umum syariah periode 2012-2016. Jurnal Sekuritas, 1(1), 1–17. https://doi.org/10.32493/skt.v1i1.620
Vu, L. T., Nguyen, N. T., & Dinh, L. H. (2019). Measuring banking efficiency in Vietnam: Parametric and non-parametric methods. Banks and Bank Systems, 14(1), 55–64. https://doi.org/10.21511/bbs.14(1).2019.06
Zhuang, H., Yin, H., Wang, M., & Yang, J. (2019). Bank efficiency and regional economic growth: Evidence from China. Annals of Economics and Finance, 20(2), 661–689.
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