Citation:

Danik Lurisdjati, Yulmardi, Asmadi Sa’ad. "Determinants of Multidimensional Poor Vulnerable Households in Jambi Province in 2024" International Research Journal of Economics and Management Studies, Vol. 4, No. 5, pp. 335-341, 2025.

Abstract:

Poverty is still an issue in various countries, both developed and developing countries. In Indonesia, many programs have been rolled out by the government in order to reduce poverty. However, precise and accurate data id needed so that poverty reduction does not become a futile step. So far, poverty reduction programs have only touched the level of the poor, while the near-poor/vulnerable poor have not been a policy priority. In fact, the population in this group is very vulnerable to falling into the category if they get a little shock, both social and economic. Some experts reveal that poverty is not only an economic/monetary problem, but other sides experience deficiencies, namely in the dimensions of education, health, and other social variables. This study aims to determine what variables affect vulnerable poor households in Jambi Province. The data used is the 2024 Susenas data produced by BPS with the binary logistic regression analysis method. From the processing results, it is concluded that the status of the region of residence, education of the household, gender of the head of household, and age of the head of household have a significant effect on multidimensionally poor vulnerable households in Jambi Province.

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Keywords:

Multidimensional Poverty, Binary Logistic Regression, Jambi Province.