Abstract

Given the importance of the very bad impact of poverty on the economy, it requires efforts to overcome poverty problems in all districts/cities. Thus, further research is needed on the causes that can affect the level of poverty in the district/city to be used as a basis in determining policies for each district/city to overcome poverty. This quantitative research uses secondary data in panel data from the Central Statistics Agency of South Kalimantan for 2014-2019, namely data on poverty levels, economic growth, education, health, and per capita income. After fulfilling the requirements of the classical assumption test, data analysis and hypothesis testing were taken from multiple linear regression equations using: the coefficient of determination test, simultaneous effect test, and t-test. The results showed that simultaneously economic growth, education, health, and per capita income affected South Kalimantan poverty levels. Partially the health variable had a negative and significant effect on the poverty level in South Kalimantan in 2014-2019, so improving health can reduce poverty levels. The variables of economic growth, education, and per capita income did not significantly affect South Kalimantan's poverty rate in 2014-2019.

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