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Sharia Banking Dynamics and the Macroeconomic Responses: Evidence from Indonesia

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  • Mansur, Alfan

    (Radius Prawiro Building 6th Floor Jl. Dr. Wahidin 1 Jakarta - Indonesia)

Abstract

Sharia banking industry in Indonesia has been established since early 1990s and growing remarkably after 1998. How the industry contributed to the Indonesian economy and what shocks drove the sharia banks’ credit in Indonesia were investigated in this paper using a Structural Vector Auto-regression (SVAR) model with recursive short run restrictions as its identification strategy. The results showed that GDP growth, core inflation, and business activity responded to increase in sharia banks’ financing positively, but with lags. Expanding sharia financing by 1 percent boosted up GDP growth by 0.06 percent. In the short-run, the contribution of sharia banks’ financing to the macroeconomic variables was limited, but it then escalated in the long run with the main channel of transmission through its ability to drive people’s purchasing power. Another result showed that sharia banks’ financing had a negative relationship with the central bank’s monetary policy. In order to improve the performance of sharia banking in Indonesia, the demands of domestic sharia financing have to be strengthened with regards to the large number of Moslems in Indonesia. At the same time, Islamic banks have to improve their business processes. Rather than capping their profit margins or murabahah-based financing, they should promote more profit sharing mudharabah-based financing with prioritizing principle of mutual help among Moslems.

Suggested Citation

  • Mansur, Alfan, 2019. "Sharia Banking Dynamics and the Macroeconomic Responses: Evidence from Indonesia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(2), pages 139-152.
  • Handle: RePEc:ukm:jlekon:v:53:y:2019:i:2:p:139-152
    DOI: http://dx.doi.org/10.17576/JEM-2019-5302-10
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    More about this item

    Keywords

    Sharia banks’ financing; Shock; Structural Vector Auto-regression (SVAR); macroeconomic variables;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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