Spatial Distribution and Cluster Analysis of Zakat Allocation: Identifying Hotspots and Coldspots
DOI:
https://doi.org/10.15408/sjie.v15i2.50477Keywords:
zakat distribution, spatial mapping, clustering, regional patternsAbstract
Research Originality: This study applies spatial autocorrelation to assess the efficiency of zakat distribution, highlighting hotspot–coldspot patterns and proposing a spatially aligned framework to reduce regional disparities and support inclusive development.
Research Objectives: This study analyzes the spatial patterns of zakat distribution and their implications for distribution efficiency and reducing regional inequality.
Research Methods: Spatial autocorrelation analysis was conducted using Moran's I, Local Indicators of Spatial Association (LISA), and Getis–Ord Gi* to identify spatial linkages among regions.
Empirical Results: The results indicate significant spatial clustering in zakat distribution, with hotspots concentrated in urban and economic centers due to strong institutional capacity, while coldspots are found in remote areas with high poverty and weak institutions, potentially reinforcing spatial inequality.
Implications: These findings emphasize the importance of spatial mapping as the basis for region-based zakat distribution. Overall, zakat has the potential to become a strategic instrument for reducing inequality and driving inclusive economic development if it is integrated into evidence-based regional development policies.
JEL Classification: F21, O16, O53, C23
How to Cite:
Anggraeni, R.R. T., Siregar, H., Juanda, B., & Beik, I. S. (2026). Spatial Distribution and Cluster Analysis of Zakat Allocation: Identifying Hotspots and Coldspots. Signifikan: Jurnal Ilmu Ekonomi, 15(2), 601-614. https://doi.org/10.15408/sjie.v15i2.50477.
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Copyright (c) 2026 R.R. Tini Anggraeni, Hermanto Siregar, Bambang Juanda, Irfan Syauqi Beik
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