Determinants of Banking Efficiency for Commercial Banks in Indonesia

• Autorzy: Heti Suryani Fitri Sulaeman , Sri Mulyantini Moelyono , Jubaedah Nawir
• Języki publikacji: EN

Abstrakty

EN

This study analyzes internal and external factors that affect banking efficiency by using quarterly data for 2013-2017. The sample includes conventional and Islamic commercial banks. Hypothesis testing uses the Tobit regression model. The results show that the loan to deposit ratio/financing to deposit ratio (LDR/FDR), the net interest margin/net operating margin (NIM/NOM), the capital adequacy ratio (CAR), and economic growth have a significantly positive effect on the efficiency of commercial banks. The NIM/NOM, the BI-rate, and the inflation have no effect on the efficiency of commercial banks. According to another analysis, factors that influence the efficiency of the results show that in conventional commercial banks, the LDR, the CAR, economic growth, and inflation have a significantly positive effect on the efficiency of conventional commercial banks. In contrast, the NIM has a significantly negative effect. Meanwhile, for Sharia commercial banks, the FDR, NPF, the CAR, economic growth and inflation have a significantly positive effect, and the BI-rate has a significantly negative effect. (original abstract)

Słowa kluczowe

EN

Banks' efficiency; Data Envelopment Analysis (DEA); Commercial banks

PL

Efektywność banków; Metoda DEA (analiza obwiedni danych); Banki komercyjne

• Czasopismo: Contemporary Economics
• Rocznik: 2019
• Tom: 13
• Numer: nr 2
• Strony: 205--217

Twórcy

autor

Heti Suryani Fitri Sulaeman

• Universitas Pembangunan Nasional "Veteran" Jakarta, Indonesia

autor

Sri Mulyantini Moelyono

• Universitas Pembangunan Nasional "Veteran" Jakarta, Indonesia

autor

Jubaedah Nawir

• Universitas Pembangunan Nasional "Veteran" Jakarta, Indonesia

Bibliografia

• Amado, C. A. F. & Santos, S. P., & Marques, P. M. (2012). Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment. Omega, 40(3), 390-403.
• Ariff, M., & Can, L. (2008).Cost and profit efficiency of Chinese banks: A non-parametric analysis. China Economic Review, 19(2), 260-273.
• Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some model for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
• Barth, J. R., Lin, C., Ma, Y., Seade, J., & Song, F. M. (2013) Do bank regulation, supervision and monitoring enhance or impede bank efficiency? Journal of Banking & Finance, 37(8), 2879-2892.
• Berger, A. N., & Mester, L. J. (1997). Inside the black box: What explains differences in the efficiencies of financial institutions. Journal of Banking and Finance, 21, 895-947.
• Charnes A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
• Chen, T. Y. (2002). Measuring firm performance with DEA and prior information in Taiwan's banks. Applied Economics Letters, 9(3), 201-204.
• Chortareas, G., Girardone, C., & Ventour, A. (2012). Bank supervision, regulation, and efficiency: Evidence from the European Union. Journal of Financial Stability, 8(4), 292-302.
• Endri, E. (2015). Macroeconomic and Banking Efficiency Variables in Indonesia. SNEMA-2015. Padang: FE UNP.
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
• Fries, S., & Taci, A. (2005). Cost efficiency of bank in transition: Evidence from 289 banks in 15 postcommunist countries. Journal of Banking & Finance, 29(1), 55-81.
• Fioderlisi, F., Molyneux. P, & Marques-Ibanez, D. (2010). Efficiency and risk in European banking (Working Paper No. 1211). European Central Bank. Available at https://ssrn.com/abstract=1618296
• Garza-García, J. G. (2012). Determinant of bank efficiency in Mexico: A two stage analysis. Applied Economics Letters, 19(17), 1679-1982.
• Grigorian, D., & Manole, V. (2002). Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis (Working Paper No. 2850). The World Bank.
• Hadad, M. D., Hall, M. J. B., Kenjegalieva, K. A., Santoso, W., Satria, R., & Simper, R. (2008). Efficiency in Indonesia banking: Recent evidence (Working Paper No. 13). Department of Economics, Loughborough University.
• Halkos, G. E., & Tzeremes, N. G. (2010). The effect of foreign ownership on SMEs performance: An efficiency analysis perspective. Journal of Productivity Analysis, 34(2), 167-180.
• Kamarudin, F., Sufian, F., Nassir, A. Md., Anwar N. A. M., & Hussain, H. I. (2019). Bank efficiency in Malaysia a DEA approach. Journal of Central Banking Theory and Practice, 8(1), 133-162.
• La Plante, A. E., & Paradi, J. C. (2015). Evaluation of bank branch growth potential using data envelopment analysis. Omega, 52, 33-41.
• Mahyudin, R. (2005). Study of the Efficiency Level of Commercial Banks in Indonesia and Several Determining Factors (Unpublished doctoral dissertation). Jakarta : Faculty of Economics and Business, University of Indonesia Jakarta.
• Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298-1322.
• Mongid, A. (2016). Business efficiency of the commercial banks in ASEAN. Investment Management and Financial Innovations, 13(1), 67-76.
• Mosko, A., & Bozdo, A. (2015). Modelling the relationship between bank efficiency, capital and risk in Albanian banking system. Procedia Economics and Finance, 39, 319-327.
• Paradi, J. C., & Zhu, H. (2013). A survey on bank branch efficiency and performance research with data envelopment analysis. Omega, 41(1), 61-79.
• Řepková, I. (2011). Efficiency Determinants in the Czech Banking Sector. Procedia Economics and Finance, 23, 191 - 196.
• Řepková, I. (2015). Banking efficiency determinants in the Czech Banking sector. Procedia Economics and Finance, 23, 191-196.
• Şahin, G., Gökdemir, L., & Öztürk, D. (2016). Global crisis and its effect on Turkish banking sector: A study with data envelopment analysis. Procedia Economics and Finance, 38, 38-48.
• Said, M., & Ali, H. (2016). An analysis on the factors affecting profitability level of Sharia banking in Indonesia. Banks and Bank Systems, 11(3), 28-36.
• Sari, P. Z., & Saraswati, E. (2017). The determinant of banking efficiency in Indonesia (DEA Approach. Journal of Accounting and Business Education, 1(2), 208-229.
• Stewart, C., Matousek, R., & Nguyen, T. N. (2016). Efficiency in the Vietnamese banking system: A DEA double bootstrap approach. Research in International Business and Finance, 36, 96-111.
• Subandi, S., & Ghozali, I. (2014). A Efficiency Determinant of Banking Industry in Indonesia. Research Journal of Finance and Accounting, 5(3), 18-26.
• Sufian, F., & Noor, M. A. N. M. (2009). The determinants of Islamic banks' efficiency changes: Empirical evidence from the MENA and Asian banking sectors. International Journal of Islamic and Middle Eastern Finance and Management, 2(2), 120-138.
• Sufian, F., & Kamarudin, F. (2015). Determinant of revenue efficiency of Islamic Banks: Empirical evidence Asian countries. International Journal of Islamic and Middle Easthern Finance and Management, 8(1), 36-63.
• Titko, J. & Jureviciene, D. (2014). DEA Application at cross-country benchmarking: Latvian vs Lithuanian banking sector. Procedia - Social and Behavioral Sciences, 110, 1124-1135.
• Yildirim, C. (2002). Evolution of banking efficiency within an unstable macroeconomic environment: The case of Turkish commercial banks. Applied Economics, 34, 2289-2301.
• Widiarti, A., Siregar, H., & Andani, T. (2015). The Determinants of Bank's Efficiency in Indonesia. Bulletin of Monetary, Economics and Banking, 18(2), 121-146.

Identyfikatory

DOI

10.5709/ce.1897-9254.308