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Assessing the Impact of Resource Allocation Strategies on the Performance of Iran’s Banking System: An Islamic Banking Perspective | ||
| Iranian Journal of Economic Studies | ||
| مقاله 8، دوره 13، شماره 1 - شماره پیاپی 25، 2024، صفحه 159-178 اصل مقاله (465.18 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/ijes.2025.52865.2028 | ||
| نویسنده | ||
| AbdolMohammad Kashian* | ||
| Faculty of Economics, Management and Administration Sciences , Semnan university. Semnan, Iran. | ||
| چکیده | ||
| This study investigates the impact of allocation of banking resources based on exchange contracts and partnership contracts on the performance of Islamic banks. Given the distinct nature of the Islamic contracts, resource allocation Strategies play a pivotal role in shaping bank profitability. This research aims to assess how these allocation strategies influence the performance of Islamic banking systems. Using annual data from the Iranian banking system (1986–2023), this study employs an ARDL model to analyze the relationships between resource allocation policies and bank performance in short and long-run. Empirical findings reveal that a one-unit increase in the ratio of exchange to partnership contracts is associated with a 2.9-unit improvement in banking performance. This suggests that reallocating financial resources toward exchange contracts contributes positively to the efficiency of banks. The underlying rationale may lie in the predetermined and fixed return structure of exchange contracts, which typically entail lower risk compared to partnership-based contracts governed by the profit-and-loss sharing framework and are more vulnerable to fluctuations in macroeconomic conditions. This result is further corroborated by the observed inverse relationship between economic growth and banking performance in long run. Additionally, the analysis indicates that inflation exerts a detrimental effect on banking performance, whereas an increase in the exchange rate appears to improve it. Consequently, the results show that an increase in the ratio of exchange to partnership contracts can improve the overall performance of banks, highlighting the practical advantages of more stable, return-predictable financing instruments under certain economic conditions. | ||
| کلیدواژهها | ||
| Islamic banking؛ Islamic Finance؛ Partnership Contracts؛ Exchange contracts؛ Islamic economy | ||
| مراجع | ||
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Abedifar, P., Molyneux, P., & Tarazi, A. (2013). Risk in Islamic Banking. . Review of Finance, 17(6), 2035-2096. Alam, N., & Rizvi, S. A. R. (2017). Empirical research in Islamic banking: Past, Present, and Future (Vol. 1-13): Springer. Asadian, M. and Kashian, A. (2024). Transition Policy and Banking Stability: A New Approach to Policy Making in Islamic Banking. Iranian Economic Review, 28(2), 416-434. Doi: 10.22059/ier.2024.338861.1007387 Avani, M., Kashian, A., & Erfani, a. (2021). An Empirical Analysis of Banking Stability in Islamic and Conventional Banking Systems. Islamic Economic Study, 13(2), 247-287. doi:10.30497/ies.2021.75621 Beck, T., Demirgüç-Kunt, A., & Merrouche, O. (2013). Islamic vs. conventional banking: Business model, efficiency and stability. Journal of Banking & Finance, 37(2), 433-447. Doi: HTTPs://doi.org/10.1016/j.jbankfin.2012.09.016 Butt, M. A., Ayub, H., Latif, B., Asif, F., Shabbir, M. S., & Raja, A. A. (2022). Financial risks and performance of conventional and Islamic banks: do reputational risk matters? Journal of Islamic Accounting and Business Research, 13(4), 581-595. doi:10.1108/JIABR-10-2020-0336 Insani, D. S., & Muflih, M. (2019). Determinants of Islamic Bank Performance: Evidence from Indonesian Islamic Banking Industry. IOP Conference Series: Materials Science and Engineering, 662(7), 072001. doi:10.1088/1757-899X/662/7/072001 Johnes, J., Izzeldin, M., & Pappas, V. (2014). A comparison of performance of Islamic and conventional banks 2004-2009. Journal of Economic Behavior & Organization, 103, 93-107. Kashian, A .M, (2024), The Transition from Exchange Contracts to Participation in Islamic Banking and Its Effects on Economic Inequality in Iran, Ma`rifat-e Eghtesad-e Islami, 15 (28), 111-127. Kashian, AbdolMohammad.(2025) The Transition from Exchange Contracts to Participation in Islamic Banking and Its Effects on Economic Inequality in Iran. Ma`rifat-e Eghtesad-e Islami, 14(2), 111-127. Lyimo, J. B. (2022). Impact of macroeconomic variables on performance of banks: A case of commercial banks in Tanzania [ResearchGate thesis, ResearchGate]. Mbaluka, M. N., Mwaura, F. W., & Nyakundi, J. N. (2023). Effects of macroeconomic variables on performance of listed firms at Dar es Salaam Stock Exchange, Tanzania. Journal of African Financial and Economic Studies (JAFES), 12(1), 1-18. Meysami, H., & Mousavian, S. A. (2019). Islamic banking (Vol. 1, 6th ed.): Theoretical foundations and practical experiences [In Persian]. Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran. Mousavian, S. (2012). Interest-free banking from theory to practice. Tehran, Iran: Danesh va Andisheh Moaser. Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modelling approach to cointegration analysis. UK: Department of Applied Economics, University of Cambridge, Cambridge. Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. Shahabadi, Abolfazl. Samari, Hanieh (2013). The Effect of Economic Freedom on Bank Performance. Iranian Journal of Economic Studies, 2(1), 123-142. Doi: 10.22099/ijes.2013.2035 Shrestha, M. B., & Bhatta, G. R. (2018). Selecting appropriate methodological framework for time series data analysis. The Journal of Finance and Data Science, 4(2), 71-89. Doi: HTTPs://doi.org/10.1016/j.jfds.2017.11.001 Taheri Haftasiabi, R. , Piri, P. , Naderi, A. and Esmaily, N. (2023). Forecasting The Financial Crisis in Iran According to The Slope of The Yield Curve and The Bank Credit Index: A Machine Learning Approach. Iranian Journal of Economic Studies, 12(1), 217-248. Doi: 10.22099/ijes.2024.51275.1973 | ||
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