Abstract:

In its study Determination of Poverty in the Province of Jambi, second-hand data is given in the form of the 2000-2019 yearly data/series collected from BPS RI, BPS Jambi and Bappeda Province. The tool utilizes the model and Pearson correlation for multiple regression models with software views 8.0 and 21.0 for PLCS. This was demonstrated by the outcomes 1). Economic growth (EG) and human development index (HDI) have partially negative and substantial effects on poverty reduction in the Province of Jambi, while the Productive People (PP) have an impact on the increase of poverty in the Province of Jambi in 2000-2019. Meanwhile, per capita spending and labor expenditure in the Jambi Province did not affect considerably the rise or decrease in poverty between 2000 and 2019. But, at the same time, economic growth, per capita spending, population, human development and labor forces have a substantial impact on the fluctuation of poverty at an R-square of 87.00 percent in the Jambi province. 2). In the Province of Jambi as a whole, the link between economic growth, per capita spending, population, human development index and the labor force is quite high with a correlation coefficient of 92,3 per cent. In the province of Jambi, government expenditure (PP), the productivity population (JP) number and the labor force (AK) have "a very strong link." For the period 2000-2019, Jambi Province has a very significant association with poverty for economic growth (GE) and human development index (HDI).

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