DECOMPOSING MULTIDIMENSIONAL POVERTY INDEX IN AGRICULTURAL HOUSEHOLDS OF SOUTH KALIMANTAN, INDONESIA

Abstract

Poverty is a complex and multidimensional problem, so an approach is needed to complement the unidimensional monetary measurement currently used, especially in agricultural households which have always been associated with poverty. The measurement is intended to see the condition of agricultural household poverty in South Kalimantan in various non-monetary dimensions, in multidimensional poverty. The formation of a Multidimensional Poverty Index (MPI) is carried out using the Alkire-Foster method on the Susenas 2021 data, using 3 dimensions: health, education, and living standards, with 10 indicators. Meanwhile, to analyze the socio-demographic trend towards the incidence of multidimensional poverty in agricultural households, binary logistic regression was used. From the analysis, it is found that the biggest contributor to the multidimensional poverty level is the health dimension, followed by the standard of living and education dimensions. Then from the results of testing socio-demographic factors, it was found that there were five independent variables (regional classification, age of household head, education of household head, number of household members, and business fields of household head) which significantly affected the multidimensional poverty status of agricultural households in South Kalimantan.

Keywords

• agricultural households
• multidimensional poverty
• alkire foster
• binary logistics regression