Comparative Analysis of Bank Efficiency in Indonesia, United States, and China Data Envelope Analysis Approach
DOI:
https://doi.org/10.55927/eajmr.v3i12.12489Keywords:
DEA, Banking Efficiency, Indonesia, United States, ChinaAbstract
The rapid advancement of technology has significantly influenced the financial sector, driving the digitalization of banking, especially post-COVID-19. This study analyzes banking efficiency in Indonesia, the United States (US), and China from 2019–2023 using the Data Envelopment Analysis (DEA) method. Results reveal that US banks maintain the highest and most stable efficiency (average 0.99), followed by China with a positive trend (average 0.98), and Indonesia with stable but slightly lower efficiency (average 0.97). Key findings highlight US efficiency stability, China’s upward trend, and Indonesia’s credit risk management challenges. Recommendations include enhancing risk management in Indonesia, sustaining efficiency in the US, and improving cost efficiency in China.
References
Afifah, F. D. N., Fitriani, F., & Aliya, H. (2022). Kebijakan Bank Sentral untuk Mengatasi Masalah Ekonomi pada Masa Pandemi Covid-19 di Indonesia. Journal of Economics and Social Sciences (JESS), 2(2), 80–88. https://doi.org/10.59525/jess.v2i2.303
Agustina, M., Majid, M. S. A., Faisal, F., & Musnadi, S. (2023). Does Islamic Banking Sector Matter for Income Disparity Reduction? Empirical Evidence from Indonesia. International Journal of Professional Business Review, 8(5), e01475. https://doi.org/10.26668/businessreview/2023.v8i5.1475
Antunes, J., Hadi-Vencheh, A., Jamshidi, A., Tan, Y., & Wanke, P. (2022). Bank efficiency estimation in China: DEA-RENNA approach. Annals of Operations Research, 315(2), 1373–1398. https://doi.org/10.1007/s10479-021-04111-2
Chen, K., Ren, J., & Zha, T. (2018). The Nexus of Monetary Policy and Shadow Banking in China. American Economic Review, 108(12), 3891–3936. https://doi.org/10.1257/aer.20170133
Christianti, A. (2021). EFFICIENT COMPARISON OF THE TOP 10 LARGEST COMMERCIAL BANKS IN INDONESIA: DEA (DATA ENVELOPMENT ANALYSIS). MIX: JURNAL ILMIAH MANAJEMEN, 11(3), 427. https://doi.org/10.22441/mix.2021.v11i3%9
Ding, N., Fung, H., & Jia, J. (2017). Comparison of Bank Profitability in China and the USA. China & World Economy, 25(1), 90–108. https://doi.org/10.1111/cwe.12188
Doan, A.-T., Lin, K.-L., & Doong, S.-C. (2018). What drives bank efficiency? The interaction of bank income diversification and ownership. International Review of Economics & Finance, 55, 203–219. https://doi.org/10.1016/j.iref.2017.07.019
Fan, X. (2016). Efficiency Research of Chinese Commercial Banks Based on Super-Efficiency DEA Method. American Journal of Industrial and Business Management, 06(04), 526–534. https://doi.org/10.4236/ajibm.2016.64048
Ferrara, G., & Kounetas, K. E. (2024). US banks efficiency after global financial crisis: Transient and persistent decomposition. North American Journal of Economics and Finance, 72(September 2022), 102115. https://doi.org/10.1016/j.najef.2024.102115
Ferreira-Silva, J., Oliveira, C. M., & Neto, J. S. (2024). Portuguese Banks Efficiency: A Data Envelopment Analysis. Procedia Computer Science, 237(2021), 277–288. https://doi.org/10.1016/j.procs.2024.05.106
Ghosh, A. (2018). Real sector consequences of bank diversification: evidence across US industries and states. Journal of Financial Economic Policy, 10(3), 322–341. https://doi.org/10.1108/JFEP-07-2017-0067
Grigorian, D. A., & Manole, V. (2006). Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis. Comparative Economic Studies, 48(3), 497–522. https://doi.org/10.1057/palgrave.ces.8100129
Hadad, M. D., Santoso, W., Ilyas, D., & Mardanugraha, E. (2003). Analisis efisiensi industri perbankan Indonesia: Penggunaan metode nonparametrik data envelopment analysis (DEA). Research Paper, 7(5), 1–28.
Hardiyanti, S. E., & Haryanto, Y. (2022). Analysis of Foreign Bank Presence Factor on the Factor of Economic growth Indonesia using Confirmatory Factor Analysis (CFA). Management Science Research Journal, 1(1), 44–51. https://doi.org/10.56548/msr.v1i1.7
Haryanto, S. (2018). Determinan Efisiensi Bank: Analisis Bank Di Indonesia. AFRE (Accounting and Financial Review), 1(1). https://doi.org/10.26905/afr.v1i1.2230
Ibrahim, M. A., Eprianti, N., & Yusup, A. (2020). Selection of Priority Needs for Employee Recruitment in Islamic Banking. Proceedings of the 2nd Social and Humaniora Research Symposium (SoRes 2019). https://doi.org/10.2991/assehr.k.200225.076
Ilyas, F. A., & Setyorini, C. T. (2023). The Assessment of State-Owned Bank Soundness Using RGEC Method Before and During Covid-19 Pandemic. JURNAL AKUNTANSI, 18(2), 96–110. https://doi.org/10.37058/jak.v18i2.7830
Jessica, C., Goh, T. S., & Elidawati, E. (2022). ANALYSIS OF BANKING EFFICIENCY USING THE DEA (DATA ENVELOPMENT ANALYSIS) METHOD AT MESTIKA BANK WHICH IS LISTED ON THE INDONESIA STOCK EXCHANGE. SIMAK, 20(02), 243–255. https://doi.org/10.35129/simak.v20i02.364
Jiang, H., & He, Y. (2018). Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework. Mathematics, 6(10), 184. https://doi.org/10.3390/math6100184
Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International Review of Economics & Finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03%9
LIAO, C. S. (2020). Evaluation and Comparison of Bank Efficiency in Cross-Strait after ECFA. The Journal of Asian Finance, Economics and Business, 7(10), 783–793. https://doi.org/10.13106/jafeb.2020.vol7.no10.783
Mekinjić, B. (2019). THE IMPACT OF INDUSTRY 4.0 ON THE TRANSFORMATION OF THE BANKING SECTOR. JOURNAL OF CONTEMPORARY ECONOMICS, 1(1). https://doi.org/10.7251/JOCE1901006M
Miller, J. W., & Muir, W. A. (2020). A New Perspective on Returns to Scale for Truckload Motor Carriers. Journal of Business Logistics, 41(3), 236–258. https://doi.org/10.1111/jbl.12234
Nayak, B. S., & Xu, J. (2018). Historical Trends and Transitions in Credit Risk Management of Chinese Commercial Banks. International Journal of Business Administration, 9(5), 96. https://doi.org/10.5430/ijba.v9n5p96
Onyeka Chrisanctus Ofodile, Olubusola Odeyemi, Chinwe Chinazo Okoye, Wihelmina Afua Addy, Adedoyin Tolulope Oyewole, Omotoya Bukola Adeoye, & Yinka James Ololade. (2024). DIGITAL BANKING REGULATIONS: A COMPARATIVE REVIEW BETWEEN NIGERIA AND THE USA. Finance & Accounting Research Journal, 6(3), 347–371. https://doi.org/10.51594/farj.v6i3.897
Pasha, T. (2023). The Effects of Selected Determinants on The Performance of Banks: Evidence from Developed Market Economies from 1984 to 2018. Qalaai Zanist Scientific Journal, 8(2). https://doi.org/10.25212/lfu.qzj.8.2.44
Radojicic, M., Savic, G., & Jeremic, V. (2018). MEASURING THE EFFICIENCY OF BANKS: THE BOOTSTRAPPED I-DISTANCE GAR DEA APPROACH. Technological and Economic Development of Economy, 24(4), 1581–1605. https://doi.org/10.3846/tede.2018.3699
Rusydiana, A. S. (2016). ANALISIS PROBLEM PENGEMBANGAN PERBANKAN SYARIAH DI INDONESIA: APLIKASI METODE ANALYTIC NETWORK PROCESS. ESENSI, 6(2). https://doi.org/10.15408/ess.v6i2.3573
Samad, A. (2019). Determinants of Commercial Bank Efficiency? Evidence from Bangladesh. Journal of Business Diversity, 19(3). https://doi.org/10.33423/jbd.v19i3.2218
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. https://doi.org/10.3390/su141710995
Sasea, E. M., & Sakmaf, M. S. (2023). DIGITAL BANK LEGAL CHALLENGES: SECURITY PROTECTION AND LEAKAGE OF CUSTOMER PERSONAL DATA. Awang Long Law Review, 6(1), 245–250. https://doi.org/10.56301/awl.v6i1.989
Siregar, K. H., Qarib, A., & Ruslan, D. (2019). Analysis of Islamic Banking Market Structure in Indonesia with Panzar-Rosse Model Approach. Budapest International Research and Critics Institute (BIRCI-Journal) : Humanities and Social Sciences, 2(2), 122–133. https://doi.org/10.33258/birci.v2i2.243
Wang, H., Wang, Y., Zhao, S., Wang, L., & An, H. (2018). The transnational comparative study on the potential risks and efficiency of commercial banks based on the weight-limited DEA model. China Finance Review International, 8(4), 441–452. https://doi.org/10.1108/CFRI-06-2017-0126
Zafrizal, M., Yakob, R., & Low, S. W. (2021). The influence of liquidity risk on efficiency in rural banks: the moderating role of interbank borrowing fund. Asian Academy of Management Journal of Accounting and Finance, 17(2), 63–79. https://doi.org/10.21315/aamjaf2021.17.2.3
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