Spatial modeling on the influence of social network and infrastructure accessibility on the number of poverty alleviation program recipients in Budaya Pampang Village

Abstract

Abstract The poverty rate in Samarinda has not decreased significantly from 2014 until 2019 even though 15 poverty alleviation programs have been implemented by the Government. The insignificant decrease in poverty can be caused by the wrong identification of the causes of poverty. Infrastructure accessibility, social network, and spatial factors are the factors that are rarely identified in the formulation of poverty alleviation strategies. Budaya Pampang has the highest percentage of the population in terms of recipients of poverty alleviation assistance funds, namely 58.9% of the total population in the Village. Therefore, this study was conducted to determine the effect of social network and infrastructure on the number of poverty alleviation assistance funds in Budaya Pampang Village and its surrounding using the spatial regression analysis. Based on the analysis results, it is found that a model stating that 94.7% of poverty in Budaya Pampang Village and its surroundings is influenced by indicators on aspects of the social network and infrastructure accessibility. The relation between the level of social network and poverty is that the higher the level of social network, the lower the level of poverty will be. Meanwhile, the farther a person in accessing infrastructure services, the higher the poverty rate will be.