Comparison of Productivity and Efficiency Between Sharia and Conventional Banks Owned Government Period 2011-2018

Authors

  • Farid Ahmad Hamidi Tazkia Islamic University College
  • Aam Slamet Rusydiana Tazkia Islamic University College

DOI:

https://doi.org/10.58968/eii.v1i1.4

Keywords:

Efficiency, Productivity, MPI, DEA, Window analysis, Indonesia

Abstract

The purpose of this study is to analyze the comparison of the level of efficiency between time and the productivity of state commercial banks in Indonesia. State commercial banks in this case are grouped into 4 major groups including BUS, BUK, BPD, UUS. Measurement of the value of efficiency in this study uses the method of Data Envelopment Analysis (DEA). The use of the DEA method can measure the efficiency of banking by using many inputs and outputs. The continued application of the use of DEA is to use DEA Window Analysis, the result is the BUS has the best efficiency stability value with an average of 0.03 LDY then BUK with an average of 0.04, BPD with an average of 0.05 and UUS with an average an average of 0.09. Also this study wants to see the extent of the productivity of the country's commercial banks, the results using the Malmquist Index obtained BUS with the highest level of productivity with an average value of 1.008 then BPD with a value of 1.004, continued BUK 0.986 and UUS 0.964. Malmquist Index can also be used to identify where the source of the productivity value of an entity is obtained whether it comes from efficiency change or technological change so that by knowing these productivity factors it is expected that each bank can make corrections to the management of each company to increase their productivity

Downloads

Download data is not yet available.

References

Abbas, M., Azid, T. and Hj Besar, M.H.A. (2016). Efficiency, Effectiveness and Performance Profile of Islamic and Conventional Banks in Pakistan. Humanomics, 32(1), 2-18.

Ali, M Mahbubi. (2010). Analisis Efisiensi Baitul Maal wat Tamwil Dengan Pendekatan Two Stage Data Envelopment Analysis (Studi Kasus Kantor Cabang BMT MMU dan BMT UGT Sidogiri. Tazkia Islamic Finance & Business Review, 5(2).

Annam, Rahmad. (2015). Etos Kerja Dan Produktivitas Kerja Dalam Upaya Menjawab Permasalahan Ekonomi Islam (Perilaku Mendapatkan Uang/Harta). Al-MASHARIF: Jurnal Ilmu Ekonomi dan KeIslaman, 3(2).

Arjomandi, Amir; Valadkhani, Abbas, and Harvie, Charles. (2011). Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry. Australasian Accounting, Business and Finance Journal, 5(3), 35-56.

Ascarya, Diana Yumanita. (2008). Comparing The Efficiency of Islamic Banks in Malaysia and Indonesia”. Buletin Ekonomi Moneter dan Perbankan, Tim IAEI, 95-119.

Asmild, Paradi, dkk. (2004). Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry. Journal of Productivity Analysis, 21, 67–89. Kluwer Academic Publishers

Asmild, Paradi, dkk. (2004). Data Envelopment Analysis and Data Mining to Efficiency Estimation and Evaluation. Journal of Productivity Analysis, 21, 67–89. Kluwer Academic Publishers.

Atmawardhana, Angga. (2006). Analisis Efisiensi Bank Umum Syariah dan Bank Konvensional yang Memiliki Usaha Syariah di Indonesia Setelah Pemberlakuan Undang-Undang No.10 Tahun 1998 tentang Perbankan (Pendekatan Data Envelopment Analysis). Skripsi Dipublikasikan. Yogyakarta: Fakultas Ekonomi Universitas Islam Indonesia.

Avkiran N. K. (2004). Decomposing Technical Efficiency and Window Analysis. Studies in Economics and Finance, 22 (1), 61-91.

Azad1, Munisamy, Masum, Saona, dan Wanke. (2016). Bank Efficiency in Malaysia, A Use of Malmquist Meta-Frontier Analysis. Eurasia Business and Economics Society.

Bjurek, H. (1996). The Malmquist Total Factor Productivity Index. Scandinavian Journal of Economics, 98(2), 303–313.

Cooper, W.W., et al.. (2011). Data Envelopment Analysis: History, Models, and Interpretations, Dalam Cooper, W.W. et al. (Eds.), Handbook on Data Envelopment Analysis, Edisi Kedua, Springer, New York, 1-40.

Dastgir, Momeni, dkk. (2012). Analyzing Financial Statements by Using Window Data Envelopment Analysis Model (Output Oriented BCC) Evidence from Iran. TextRoad Publication. J. Basic. Appl. Sci. Res., 2(12), 12049-12055.

Sufian, Fadzlan. (2009). The Determinants of Efficiency of Publicly Listed Chinese Banks : Evidence from Two-Stage Banking Models, Macroeconomics and Finance in Emerging Market Economies, 2(1), 93-133.

Sufian, Fadzlan. (2007). Trends in The Efficiency of Singapore's Commercial Banking Groups: A Non-Stochastic Frontier DEA Window Analysis Approach. International Journal of Productivity and Performance Management, 56(2), 99-136.

Farrel, M.J. 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society.Series A (General). 120(3), 253-290.

Fathoni, Ghozali. (2017). Analisis Konsep Produktivitas Kerja Konvensional Dalam Pandangan Islam. Al Tijarah, 3(1).

Fekri Ali Shawtari, Milad Abdelnabi Salem, Izzeldin Bakhit. (2018) Decomposition of Efficiency Using DEA Window Analysis: A Comparative Evidence From Islamic and Conventional Banks. Benchmarking: An International Journal, 25(6), 1681-1705.

Fekri Ali Shawtari, Mohamed Ariff, Shaikh Hamzah Abdul Razak. (2015). Efficiency Assessment of Banking Sector in Yemen Using Data Envelopment Window Analysis. Benchmarking: An International Journal, 22(6), 1115-1140.

Hafinuddin, Didin dan Hendri Tanjung. (2003). Manajemen Syariah dalam Praktik. Jakarta: Gema Insani Press.

Hien Thu Phan, Sajid Anwar & W. Robert J. Alexander. (2018). The determinants of banking efficiency in Hong Kong 2004-2014. Applied Economics Letters.

Hutabarat, Jemsley., dan Huseini, Martani. (2006). Pengantar Manajemen Strategik Kontemporer: Strategik Di Tengah Operasional. Jakarta: PT. Elex Media Koputindo.

Ilias S. Kevork, Jenny Pange, Panayiotis Tzeremes, Nickolaos G. Tzeremes. (2017). Estimating Malmquist Productivity Indexes using Probabilistic Directional Distances: An Application to the European Banking Sector. European Journal of Operational Research.

Jill Johnes, Marwan Izzeldin, Vasileios Pappas, Christos Alexakis. (2018). Performance and Productivity in Islamic and Conventional Banks: Evidence from the Global Financial Crisis.

Kantakji, Dr. Samir Mudzhar. (2003). Fiqh al-Muhasabah al-Islamiyah, Disertasi Doktor pada Fakultas Ekonomi Universitas Aleppo.

Khan, Tariqullah dan Habib Ahmed. (2008). Manajemen Risiko Lembaga Keuangan Syariah, Jakarta: Bumi Aksara.

Kutlar, A. & A. Kabasakal & A. Babakan. (2015). Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012. Sosyoekonomi, 23(24), 71-97.

Machmud, Amir & Rukmana. (2010). Bank Syariah: Teori, Kebijakan, dan Studi Empiris di Indonesia. Jakarta: Erlangga.

Mansyur, Fakhruddin. (2012). Analisis Perbandingan Efisiensi Bank Umum Syariah dan Bank Umum Konvensional di Indonesia Menggunakan Metode Stochastic Frontier Approach (SFA). UIN Sunan Kalijaga.

Marta Degl’Innocenti, Stavros A. Kourtzidis, Zeljko Sevic, Nickolaos G. Tzeremes. (2016). Bank Productivity Growth and Convergence in the European Union during the Financial Crisis. Journal of Banking and Finance.

Muhamad, Shamsher, dkk. (2008). Efficiency of Conventional versus Islamic Banks: International Evidence using the Data Envelopment Analysis (DEA). Journal of Islamic Economics, Banking and Finance, 2365.

Muhammad Abbas Rayan S Hammad Mohamed Fathy Elshahat Toseef Azid. (2015). Efficiency, Productivity and Islamic Banks: an Application of DEA and Malmquist Index. Humanomics, 31(1), 118-131.

Muharam, H., dan Pusvitasari. (2007). Analisis Perbandingan Efisiensi Bank Syariah Di Indonesia Dengan Metode DEA. 2(3).

Muliaman D. Hadad, Maximilian J. B. Hall, Karligash A. Kenjegalieva, Wimboh Santoso & Richard Simper. (2011). Productivity changes and risk management in Indonesian banking: a Malmquist analysis. Applied Financial Economics, 21(12), 847-861.

Munisamy, Masum, Saona, dan Wanke. (2016). Bank efficiency in Malaysia, A Use of Malmquist Meta-Frontier Analysis. Eurasia Business and Economics Society.

Nasution., Arham Hakim. (2006). Management Iindustri. Yogyakarta : Andi Offset.

Oscan, Yazar. (2008). Health Care Benchmarking and Performance Evaluation an Asseement using Data Enveloment Analysis (DEA). Springer, Newton MA.

Pertiwi, Lela Dina. (2007). Efisiensi Pengeluaran Pemerintah Daerah di Propinsi Jawa Tengah. Ekonomi Pembangunan, 12(2), 123-139.

Raéf Bahrini. (2015). Productivity of MENA Islamic banks: a Bootstrapped Malmquist Index Approach. International Journal of Islamic and Middle Eastern Finance and Management, 8(4), 508-528.

Ramanathan, R. (2003). An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement. London: Sage Publications.

Řepková, I. (2014). Efficiency of the Czech banking sector employing the DEA window analysis approach. Procedia Economics and Finance, 12, 587-596.

Robert Webb. (2003). Levels of efficiency in UK retail banks: a DEA Window Analysis, International Journal of the Economics of Business, 10(3), 305-322.

Rusydiana, A. Slamet dan Salman Al-farisi. (2016). The Efficiency of Zakah Institutions using Data Envelopment Analysis. Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah, 8(2), 213-226.

Rusydiana, Aam S., and Irman Firmansyah. (2017). Efficiency versus Maqasid Sharia Index: An Application on Indonesia Islamic Bank. Shirkah Journal of Economics and Business, 2(2), 154.

Rusydiana, A. Slamet dan Rafika Rahmawati. (2018). Intertemporal Efficiency Analysis on Indonesia Islamic Banks: A Window DEA Approach. SMART Indonesia.

Rusydiana, A. Slamet. (2018). Indeks Malmquist Untuk Pengukuran Efisiensi dan Produktivitas Bank Syariah di Indonesia. Jurnal Ekonomi Dan Pembangunan LIPI, 26(1), 47-58.

Sena, V.. (2016). Trademarking Activities and Total Factor Productivity: Some Evidence for British Commercial Banks Using a Metafrontier Approach. Journal of Banking & Finance.

Shawtari, F.A., Ariff, M. and Abdul Razak, S.H. (2018). Efficiency and Bank Margins: A Comparative Analysis of Islamic and Conventional Banks In Yemen. Journal of Islamic Accounting and Business Research, 9(5). forthcoming.

Shawtari, F.A., Saiti, B., Razak, S.H.A. and Ariff, M. (2015b). The impact of Efficiency on Discretionary Loans/Finance Loss Provision: A Comparative Study of Islamic and Conventional Banks. Borsa Istanbul Review, 15(4), 272-282.

Shawtari, F.A., Ariff, M. and Abdul Razak, S.H. (2015a). Efficiency Assessment of Banking Sector in Yemen Using Data Envelopment Window Analysis: A Comparative Analysis of Islamic and Conventional Banks. Benchmarking: An International Journal, 22(6), 1115-1140.

Sufian, Fadzlan. (2007). The Efficiency Of Islamic Banking Industry In Malaysia: Foreign vs Domestic Bank. Humanomics, 23(3), 174-192 : Emerald Group Publishing Limited.

Sufian, F. (2007). Trends in the Efficiency of Singapore’s Commercial Banking Groups: a Non-Stochastic Frontier DEA Window Analysis Approach. International Journal of Productivity and Performance Management, 56(2), 99-136.

Sufian, F. and Majid, M.Z.A. (2009). Bank Efficiency and Share Prices in China : Empirical Evidence from a Three-Stage Banking Model. Int. J. Computational Economics and Econometrics, 1(1), 23-47.

Sufian, Fadzlan. (2007). Benchmarking the Efficiency of the Korean Banking Sector: a DEA Approach. Humanomics, 18(1), 2011: Emerald Group Publishing Limited.

Sufian, F. (2009). Determinants of Bank Efficiency During Unstable Macroeconomic Environment : Empirical Evidence from Malaysia. Research in International Businessand Finance, 23(1), 54-77.

Summanth, D.J. 1984. Productivity Engineering and Management. McGraw – Hill Book Company.

Tanna, Sailesh, Luo, Yun, De Vita, Glauco. 2017. What is the Net Effect of Fnancial Liberalization on Bank Productivity? A Decomposition Analysis of Bank Total Factor Productivity gGrowth. Journal of Financial Stability, 537.

Tesfatsion Sahlu Desta. (2016). Are the Best African Banks Really the Best? A Malmquist Data Envelopment Analysis. Meditari Accountancy Research, 24(4), 588-610.

Thanh Pham Thien Nguyen, Eduardo Roca & Parmendra Sharma. (2014). How Efficient is the Banking System of Asia’s Next Economic Dragon ? Evidence from Rolling DEA Windows. Applied Economics, 46(22), 2665-2684.

Violeta Cvetkoska & Gordana Savić. (2017). Efficiency of Bank Branches : Empirical Evidence from a Two-Phase Research Approach. Economic Research-Ekonomska Istraživanja.

Zeitun, R., Abdulqader, K.S. and Alshare, K.A. (2013) ‘On the relative efficiency of conventional and Islamic banks: a DEA-window approach’, Int. J. Financial Services Management, Vol. 6, No. 3, pp.236–251.

Downloads

Published

2019-12-30

How to Cite

Hamidi, F. A. ., & Rusydiana, A. S. . (2019). Comparison of Productivity and Efficiency Between Sharia and Conventional Banks Owned Government Period 2011-2018. Ekonomi Islam Indonesia, 1(1), 56–79. https://doi.org/10.58968/eii.v1i1.4