Village funds and poverty reduction in South Sumatra: A geographically weighted regression analysis
DOI:
https://doi.org/10.12928/optimum.v16i2.17004Keywords:
Village Funds, Poverty Levels, Spatial Autocorrelation, GWRAbstract
Poverty alleviation is the main agenda of development programs in Indonesia. Most of the implemented programs are non-spatial in nature and thus not yet optimal. This study looks into spatial patterns and area-based approaches to reducing poverty in South Sumatra Province. The geographically weighted regression (GWR) method using poverty data from 2022-2024 was employed in this study. The study finds an assembled spatial poverty pattern where areas (sub-districts) with high poverty levels are surrounded by regions with high poverty levels. Therefore, the poverty alleviation strategy of each region is aligned with each influencing factor.
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