M&A Efficiency Islamic Bank Pre-Merger Analysis: Does Control Covid-19 Matter?

Sri Yayu Ninglasari, Nisful Laila, M. Fikri Himmawan

Abstract


Analysis of pre-mergers is important to do as an effort for Islamic banks to increase competitiveness. This study aims to analyze the determinants of the efficiency of pre-merger Islamic banking in Indonesia. This study uses a quantitative research design through the two-stage banking data envelopment analysis (DEA) model. The input variables for the first stage are third party funds (DPK), operational costs (BIOP), total financing (TFIN), and the output variables are operating income (PENDOP), total assets (TASSET). Then in the second stage with multivariate tobit regression, using the dependent variable the efficiency score obtained through the results of the first stage and in the first model the independent variables are total assets, bank size, ROA, NPF, CAR and then measurements are made on additional Covid-19 controls for the second model. The results showed that total assets, bank size, ROA, and CAR significantly affected efficiency scores. NPF has no significant effect. The second model with the Covid-19 control variable produced a more substantial empirical model influence than non-control Covid-19. Overall, the performance of Islamic commercial banks increased until the fourth quarter of 2020, seen from the improving quality of financing, which was also marked by the decline in NPF and quite good intermediation. Limitations of this study include the limited update of the Covid-19 control data.

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Abbas, Q., Hunjra, A. I., Saeed, R., Hassan, E. U., & Ijaz, M. S. (2014). Analysis of Pre and Post Merger and Acquisition Financial Performance of Banks in Pakistan. Information Management and Business Review, 6(4), 177–190. https://doi.org/10.22610/imbr.v6i4.1113

Abidin, Z., Prabantarikso, R. M., Wardhani, R. A., & Endri, E. (2021). Analysis of Bank Efficiency Between Conventional Banks and Regional Development Banks in Indonesia. Journal of Asian Finance, Economics and Business, 8(1), 741–750. https://doi.org/10.13106/jafeb.2021.vol8.no1.741

Ahn, H., & Le, M. H. (2014). An insight into the specification of the input-output set for DEA-based bank efficiency measurement. In Journal fur Betriebswirtschaft (Vol. 64, Issue 1). https://doi.org/10.1007/s11301-013-0098-9

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078

Bellini, T. (2019). Prepayments, Competing Risks and EAD Modelling. In IFRS 9 and CECL Credit Risk Modelling and Validation. Elsevier. https://doi.org/10.1016/b978-0-12-814940-9.00013-x

Boďa, M., & Zimková, E. (2021). A DEA model for measuring financial intermediation. In Economic Change and Restructuring (Vol. 54, Issue 2). Springer US. https://doi.org/10.1007/s10644-020-09281-w

Boulanouar, Z., Alqahtani, F., & Hamdi, B. (2021). Bank ownership, institutional quality and financial stability: evidence from the GCC region. Pacific Basin Finance Journal, 66(December 2020), 101510. https://doi.org/10.1016/j.pacfin.2021.101510

Chaluvadi, S., Raut, R., & Gardas, B. B. (2018). Measuring the performance efficiency of banks in a developing economy: The case study of Indian public sector vs private sector. Benchmarking, 25(2), 575–606. https://doi.org/10.1108/BIJ-10-2016-0157

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8

Coelli, T. J., Rao, D.S.P., & Battese, G. E. (2005). An Introduction to Efficiency Analysis. http://dl.icdst.org/pdfs/files/3a67240be4e2274e4c95655ec16931de.pdf

Coelli, T., Rao, D. S. P., & Battese, G. E. (1998). An Introduction to Efficiency and Productivity Analysis. In An Introduction to Efficiency and Productivity Analysis. Springer US. https://doi.org/10.1007/978-1-4615-5493-6_2

Durmuş, V. (2021). Is the country-level income an important factor to consider for COVID-19 control? An analysis of selected 100 countries. International Journal of Health Governance, 26(2), 100–113. https://doi.org/10.1108/IJHG-10-2020-0121

Dutta, P., Jain, A., & Gupta, A. (2020). Performance analysis of non-banking finance companies using two-stage data envelopment analysis. Annals of Operations Research, 295(1), 91–116. https://doi.org/10.1007/s10479-020-03705-6

Firdaus, M. faza, & Hosen, M. N. (2014). Efisiensi Bank Umum Syariah Menggunakan Pendekatan Two-Stage Data Envelopment Analysis. Buletin Ekonomi Moneter Dan Perbankan, 16(2), 167–188. https://doi.org/10.21098/bemp.v16i2.31

Gujarati and Porter. (2009). Dasar-Dasar Ekonometrika. Salemba Empat.

Gujarati, D. N. (2004). Basic Econometrics. Tata McGraw-Hill Education.

Hafsal, K., Suvvari, A., & Durai, S. R. S. (2020). Efficiency of Indian banks with non-performing assets: evidence from two-stage network DEA. Future Business Journal, 6(1). https://doi.org/10.1186/s43093-020-00030-z

He, H., Tang, W., Kelly, T., Li, S., & He, J. (2020). Statistical tests for latent class in censored data due to detection limit. Statistical Methods in Medical Research, 29(8), 2179–2197. https://doi.org/10.1177/0962280219885985

Henriques, I. C., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2020). Two-stage DEA in banks: Terminological controversies and future directions. Expert Systems with Applications, 161, 113632. https://doi.org/10.1016/j.eswa.2020.113632

Himmawan, M. F., & Firdausi, N. A. (2021). Projection of Indonesian Islamic commercial banks efficiency and stability in the Covid-19 period using DEA and panel ARDL. Jurnal Ekonomi & Keuangan Islam, 7(1), 17–30. https://doi.org/10.20885/jeki.vol7.iss1.art2

ICD. (2020). Islamic Finance Development Report 2020: Progressing Through Development. 1–54.

Jeryana, I. P., Kencana, I. P. E. N., & Gandhadi, G. K. (2014). MODEL REGRESI TOBIT KONSUMSI SUSU CAIR PABRIK (Studi Kasus Rumah Tangga di Provinsi Bali). E-Jurnal Matematika, 3(2), 75. https://doi.org/10.24843/mtk.2014.v03.i02.p068

Khalifaturofi’ah, S. O. (2018). Cost Efficiency, Total Assets, and Profitability: Evidence from Islamic Bank. Jurnal Keuangan Dan Perbankan, 22(4), 769–778. https://doi.org/10.26905/jkdp.v22i4.2218

Komite Nasional Keuangan Syariah. (2018). Masterplan Ekonomi Syariah Indonesia 2019-2024. In Kementerian Perencanaan Pembangunan Nasional/ Badan Perencanaan Pembangunan Nasional. https://knks.go.id/storage/upload/1573459280-Masterplan Eksyar_Preview.pdf

Min, H., Lee, C. C., & Joo, S. J. (2021). Assessing the efficiency of the Covid-19 control measures and public health policy in OECD countries from cultural perspectives. Benchmarking, 80. https://doi.org/10.1108/BIJ-05-2021-0241

Muljawan, D., Hafidz, J., Astuti, R. I., & Oktapiani, R. (2014). Faktor-Faktor Penentu Efisiensi Perbankan Indonesia serta Dampaknya terhadap Perhitungan Suku Bunga Kredit. Working Paper Bank Indonesia, WP/2/2014, 1–77.

Mursyid, M., Kusuma, H., Tohirin, A., & Sriyana, J. (2021). Performance Analysis of Islamic Banks in Indonesia: The Maqashid Shariah Approach. Journal of Asian Finance, Economics and Business, 8(3), 307–318. https://doi.org/10.13106/jafeb.2021.vol8.no3.0307

OJK. (2020). Laporan Profil Industri Perbankan Triwulan IV 2020.

OJK. (2021a). Roadmap Pengembangan Perbankan Syariah.

OJK. (2021b). Statistik Perbankan Syariah.

Pantas, P. (2021). Islamic Banking Efficiency in Indonesia and Malaysia: Two Stages Data Envelopment Window Analysis Cointegration of Stock Market and Exchange Rate in Indonesia View project. Al-Uqud: Journal of Islamic Economics, 5(2), 234–249. https://doi.org/10.26740/al-uqud.v5n2.p234-249

Prahutama, A., Rusgiyono, A., Sudarno, Mukid, M. A., & Widiharih, T. (2019). Analysis of Household Expenditures on Education in Semarang City, Indonesia Using Tobit Regression Model. E3S Web of Conferences, 125(201 9), 7–10. https://doi.org/10.1051/e3sconf/201912509016

Prima Sakti, M. R., & Mohamad, A. (2018). Efficiency, stability and asset quality of Islamic vis-à-vis conventional banks: Evidence from Indonesia. Journal of Islamic Accounting and Business Research, 9(3), 378–400. https://doi.org/10.1108/JIABR-07-2015-0031

Saif-Alyousfi, A. Y. H., & Saha, A. (2021). Determinants of banks’ risk-taking behavior, stability and profitability: evidence from GCC countries. In International Journal of Islamic and Middle Eastern Finance and Management: Vol. ahead-of-p (Issue ahead-of-print). https://doi.org/10.1108/imefm-03-2019-0129

Setiawan, C., Hasan, T., Hassan, K., & Mohamad, S. (2017). Non-performing loans and bank efficiency of conventional and Islamic banks in the Organization of Islamic Cooperation (OIC) countries. Journal of Islamic Economics, Banking and Finance, 13(4), 19–44. https://doi.org/10.12816/0051000

Sinha, P., & Gupta, S. (2011). Mergers and Acquisitions: A pre-post analysis for the Indian financial services sector. Munich Personal RePEc Archive, 74203, 37.

State of the Global Islamic Economy Report. (2020). State of the Global Islamic Economy Report 2019/20. In Dubai International Financial Centre. https://cdn.salaamgateway.com/special-coverage/sgie19-20/full-report.pdf

Sufian, F., & Abd. Majid, M.-Z. (2007). Bank Mergers Performance and the Determinants of Singaporean Banks’ Efficiency: An Application of Two-Stage Banking Models. Gadjah Mada International Journal of Business, 9(1), 19. https://doi.org/10.22146/gamaijb.5602

Veall, M. R., & Zimmermann, K. F. (1996). Pseudo-R2 measures for some common limited dependent variable models. Journal of Economic Surveys, 10(3), 241–259. https://doi.org/10.1111/j.1467-6419.1996.tb00013.x

Wasiaturrahma, Sukmana, R., Ajija, S. R., Salama, S. C. U., & Hudaifah, A. (2020). Financial performance of rural banks in Indonesia: A two-stage DEA approach. Heliyon, 6(7), e04390. https://doi.org/10.1016/j.heliyon.2020.e04390

Xu, G., & Zhou, Z. (2021). Assessing the efficiency of financial supply chain for Chinese commercial banks: a two-stage AR-DEA model. Industrial Management and Data Systems, 121(4), 894–920. https://doi.org/10.1108/IMDS-01-2020-0022

Yu, W., & Ramanathan, R. (2008). An assessment of operational efficiencies in the UK retail sector. International Journal of Retail & Distribution Management, 36(11), 861–882. https://doi.org/10.1108/09590550810911656




DOI: http://dx.doi.org/10.29040/jiei.v9i1.8165

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