Spatial modeling of poverty level in Kepulauan Bangka Belitung province

Abstract

Poverty is still the biggest problem in the world, including in Indonesia. Based on BPS-Statistics data, in 2017, there are 10.64 percent or about 27.77 millions of Indonesian people are poor. One of the regions in Indonesia that experienced a significant slowdown in poverty reduction is Kepulauan Bangka Belitung Province. Differences in characteristics between regions in Kepulauan Bangka Belitung allow poverty levels to have different causal factors in each region. This study aims to identify and analyze variables that affect poverty levels in Kepulauan Bangka Belitung Province by considering differences in characteristics between regions. The unit of analysis in this study is the sub-district and analyzed using the Geographically Weighted Regression (GWR) model. This study uses data of 6,523 households from all regencies/cities in Kepulauan Bangka Belitung Province, which collected from the field study by students of Politeknik Statistika STIS in 2017. The results of the analysis show that the effect of education levels, health conditions, unemployment rates, the agricultural sector, and labor productivity on poverty levels varies spatially. These results indicate that handling of the poverty problem should pay attention to differences in characteristics between regions (sub-districts).