Gairuzazmi Mat Ghani
International Islamic University Malaysia, Malaysia

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EXPLORATION OF AGENT-BASED SIMULATION: THE MULTIPLIER EFFECT OF ZAKAH ON ECONOMIC GROWTH Diyah Putriani; Gairuzazmi Mat Ghani; Mira Kartiwi
Journal of Islamic Monetary Economics and Finance Vol 6 No 3 (2020)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v6i3.1110

Abstract

Zakat plays an undeniably significant role in social life. The enforcement of zakah in early Islamic history is evidence that it is a powerful tool for fostering economic growth. The economy under the reign of Caliphate Umar Ibn Abdul Azis even achieved a surplus, with no one having the right to receive zakah. Recent studies have attempted to link the role of zakah and economic growth qualitatively by arguing that zakah can contribute to economic development. However, the extent to which it has a multiplier effect on economic growth has not been examined. Considering this research gap, this study examines such an effect on economic growth, as represented by Gross Domestic Product (GDP). To capture the full impact of zakah on aggregate production, two scenarios are conducted, namely the economy with and without zakah. The simulation results show that zakah can promote aggregate production. On the other hand, the economy experiences lower aggregate production when there is no zakah. An agent-based computational model (ABM) simulation is employed to run the simulation. The application of ABM in this study is intended to introduce the use of computational study as an alternative method of developing research in Islamic economics.
MARK-UP VS. INTEREST-BASED FINANCING ON GDP: AN APPLICATION OF AGENT-BASED COMPUTATIONAL MODEL Diyah Putriani; Gairuzazmi Mat Ghani; Mira Kartiwi
Journal of Islamic Monetary Economics and Finance Vol 7 No 1 (2021)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v7i1.1345

Abstract

This study aims to introduce the application of artificial intelligence in the area of Islamic finance by examining the dynamic changes of gross domestic product (GDP) under fully markup-based financing. The application of artificial intelligence using agent-based computational model (ABM) is employed to conduct the simulation. The simulation result shows that the movement of GDP under markup-based financing which represents Islamic financial system has better performance compared to interest-based lending. In this regard, profit shared to depositors has positive impact on GDP which also proofs that Islamic banking system may promote sustainable economic growth and may create wealth for the whole society. This study proofs that Islamic bank essentially more stable than conventional bank and hence may fights against crisis. This study is potentially the initial work to examine the dynamic changes of economic growth under fully Islamic financial system by applying artificial intelligence concept as its methodology. Thus, this study is expected to contribute to the development of Islamic economics and finance research.