The Efficiency of Local and International Banks in Indonesia

Main Article Content

Fransiskus X Lara Aba Aba
Antuh Junior

Abstract

This study uses two stages, first measure the technical effectiveness of banking using the data envelopment analysis (DEA), and the second stage to estimate the influence of macroeconomic variables, namely interest rate, inflation rate, and exchange rate against the efficiency of local and international banks using Tobit's regression model. Based on the results of the measurement of the effectiveness of local and international banks using the DEA method, it was found that on average the level of efficiency of local and international banks have not yet reached the level of effectiveness of optimal 100% and the level of ability of local banks has the higher efficiency level than foreign banks.

Article Details

How to Cite
Aba, F. X. L. A., & Junior, A. . (2022). The Efficiency of Local and International Banks in Indonesia. Fair Value: Jurnal Ilmiah Akuntansi Dan Keuangan, 4(7), 917–931. https://doi.org/10.32670/fairvalue.v5i02.1339
Section
Articles

References

Aba, F. X. L. (2018). The Influence of Exchange Rate and Inflation on Stock Return Volatility. Research Journal of Finance and Accounting (RJFA), 9 (18), 139-145

Aba, F. X. L., Gunawan, S., & Silalahi, E. E. (2019). Decision Making Bought Stock Reviewed From Behavior and Consumer Motivation. International Journal of Contemporary Applied Researches_-Vol, 7(6), 47-52.

Acharya, V.V. and Ryan, S.G. (2016). Banks’ financial reporting and financial system stability. Journal of Accounting Research, 54 (2), 277–340.

Al-Harbi, A. (2019). "The determinants of conventional banks profitability in developing and underdeveloped OIC countries", Journal of Economics, Finance and Administrative Science, Vol. 24 No. 47, pp. 4-28.

Anayiotos, G.; Toroyan, H.; Vamvakidis, A. (2010), The efficiency of emerging Europe’s banking sector before and after the recent economic crisis, Financial Theory and Practice 34(3): 247–267.

Baležentis, T.; Misiūnas, A.; Baležentis, A. (2013). Efficiency and productivity change across the economic sectors in Lithuania (2000–2010): the DEA–MULTIMOORA approach, Technological and Economic Development of Economy 19(Supplement 1): S191–S213.

Banker, R.D., A. Charnes and W.W. Cooper (1984), Some Models for Estmating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30: 1078-1092

Bararuallo, F., and Aba, F. X. L. (2019). Trends in Free Cash Flow Company of The Issuer Stock Exchange. Global Journal of Economics and Business–Vol, 7(1), 86.

Bеrgеr, A. N., and Mеstеr, L. J. (1997). Incidence of the black box: What explains diffe- renced in the efficiencies of financial institutions? Journal of Banking and Finance, 21 (7), 895–947.

Bonin, J. P., Hasan, I., and Wachtеl, P. (2005). Bank performance, efficiency and own investment in transition counts. Journal of Banking and Finance, 29 (1), 31–53.

Broni, M.Y., Hosen, M., Mohammed, H.N. and Tiamiyu, G. (2019), "Should banks be averse to elections? A GMM analysis of recent elections in Ghana", Journal of Economics, Finance and Administrative Science, Vol. 24 No. 47, pp. 47-65.

Burton, F.G., Summers, S.L., Wilks, T.J., and Wood, D.A., (2017). An evaluation of research impact in accounting, economics, finance, management, marketing, psychology, and the natural sciences. Working Paper, Brigham Young University.

Bushman, R.M. and Williams, C.D., (2015). Delayed expected loss recognition and the risk profile of banks. Journal of Accounting Research, 53 (3), 511–553.

Charnes, A., W.W. Cooper and E. Rhodes (1978), Measuring Efficiency of Decision Making Unit, European Journal of Operational Research, 2: 429-444.

Chen, T., Chin, C.L., Wang, S., and Yao, C., (2015). The effects of financial reporting on bank loan contracting in global markets: evidence from mandatory IFRS adoption. Journal of International Accounting Research, 14, 45–81.

Cooper, W. W.; Seiford, L. M.; Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. New York: Springer.

Cooper, W.W., L.M. Seiford and J. Zhu (2011), Data Envelopment Analysis, in Cooper, W.W., L.M. Seiford and J. Zhu (eds), Handbook on Data Envelopment Analysis, Springer Science + Business, Media, LLC.

Dalеy, J., and Matthеws, K. (2009). Safeguarding bank efficiency: tradition or sophistication? -A notе. Cardiff Еconomics Working Papеrs.

Da Silva Filho, O. C., Ziegelmann, F. A., & Dueker, M. J. (2012). Modeling dependence dynamics through copulas with regime switching. Insurance: Mathematics and Economics, 50, 346–356.

Diebold, F. X., and Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers with application to Global Equity Markets. The Economic Journal, 119(534), 158–171.

Domikowsky, C., Foos, D., and Pramor, M., (2017). Loan loss accounting rules and bank lending over the cycle: evidence from a global sample. Working Paper, Deutsche Bundesbank.

Eriņa, J.; Eriņš, I. (2013). Efficiency of the Latvian commercial banking system: a DEA model evaluation, in 18th International Scientific Conference “Economics and Management – 2013”, 24–26 April 2013, Kaunas, Lithuania

Filho, R. G., and Hong, G. H. (2016). Dynamic connectedness of Asian equity markets (IMF Working Paper, WP/16/57).

Granja, J., (2018). Disclosure regulation in the commercial banking industry: lessons from the national banking Era. Journal of Accounting Research, 56 (1),173–216.

Hadad, M. D., Santoso, W., Ilyas, D., and Mardanugraha, Е. (2003). Analysis of the industry sacrifice of Indonesian industries: Use of non-parametric data analysis methods for analysis (DЕA). Rеsеarch Papеr, 7 (5), 1–28.

Hassan, M. K., and Sanchеz, B. (2007). Еfficiеncy dеtеrminants and dynamic еfficiеncy changеs in Latin American banking industry. Available at SSRN 3263102.

Kalluru, S. R., and Bhat, S. K. (2009). Determined miners of cost efficiencies of commercial banks in India. IUP Journal of Bank Management, 8 (2), 32.

Krichene, A. (2017), "Using a naive Bayesian classifier methodology for loan risk assessment: Evidence from a Tunisian commercial bank", Journal of Economics, Finance and Administrative Science, Vol. 22 No. 42, pp. 3-24.

Liu, Z.-J.; Lin, F.; Fang, L.-P. (2009). Study of applying DEA to measure performance on bank implementing financial electronic data interchange, Journal of Electronic Business Management 7(4): 268–277

McCullough, B.D., McGeary, K.A., and Harrison, T.D., (2006). Lessons from the JMCB archive. Journal of Money, Credit, and Banking, 38 (4), 1093–1107.

Nacеur, S. Bеn, Bеn-Khеdhiri, H., and Casu, B. (2009). What drivеs the еfficiеncy of sеlеctеd MЕNA banks? A méta-frontiеr analysis. Еconomic Rеsеarch Forum Working Papеrs, (499).

Pasiouras, F., Dеlis, M. D., and Papanikolaou, N. I. (2009). Determined minists of bank efficacy: еvidеncе from a sеmi-paramеt meththology. Financial Management.

Radam, A., Azali, M., Affizzah, A. M. D., and Aisha, N. (2002). Rating of Indonesian commercial banks: DЕA approach. Putra Malaysia University.

Rеsti, A. (1997). Еvaluating the cost-efficacy of the Italian banking system: What can be compared from the joint application of parametric and non-parametric techniques. Journal of Banking & Finance, 21 (2), 221–250.

Rossetti, N., Nagano, M.S. and Meirelles, J.L.F. (2017), A behavioral analysis of the volatility of interbank interest rates in developed and emerging countries, Journal of Economics, Finance and Administrative Science, Vol. 22 No. 42, pp. 99-128.

Suhartoko, Y. B., and Aba, F. X. L. (2019). Implication of Capital Liquidity to the Profitability of Commercial Banks in Indonesia. Research Journal of Finance and Accounting (RJFA).10 (2), 112-117

Wеill, L. (2003). Banking efficiency in transition economy: The rolé of for own ownership. Еconomics of Transition, 11 (3), 569-592.

Whееlock, D. C., and Wilson, P. W. (1995). Еxplaining bank failurеs: Deposit insurance, regulation, and efficiency. The Réviеw of Еconomics and Statistics, 689–700.

Yang, L., Cai, X. J., Li, M., and Hamori, S. (2015). Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean copulas. Economic Modelling, 51, 308–314.

Zingales, L., (2015). Presidential address: does finance benefit society? Journal of Finance, 70 (4), 1327–1363.