Comprehensive Poverty Evaluation of Rural Communities in the Philippines: Empirical Evidence from Community-Based Monitoring System (CBMS) and Econometric Modeling

The purpose of this paper is to look into the critical aspects of employment, health, and housing conditions in the context of poverty among households in San Jose, Camarines Sur, Philippines. The information was derived from the 2016 Community-Based Monitoring System (CBMS), which included 29 barangays. Although poverty levels vary by location, a significant proportion of households live below the total assets, income, and food thresholds. San Jose has 57.1% of its residents living in poverty. The variables of employment, health, and housing conditions, which differ by household and have an impact on poverty outcomes in San Jose, were then classified. Logistic regression models were estimated in aggregated and disaggregated configurations to confirm whether the aforementioned variables predict poverty outcomes. The findings claim to be statistically significant overall, and that there are variables that influence poverty as measured by assets, income, and food thresholds. According to the findings, employment is not a predictor of poverty outcomes in San Jose. Furthermore, researchers proposed policies in the Municipality of San Jose to alleviate poverty and promote economic development.