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This study aims to analyze the development of GRDP in the Agricultural Sector, Agricultural Land Area, and Human Development Index on Labor Absorption in the Agricultural Sector and the contribution of the agricultural sector to total GRDP, and to analyze the effect of each of these variables on Labor Absorption in the Agricultural Sector for the period 2018-2022. The method used in this study is descriptive and quantitative analysis. The analytical tool used is panel data regression analysis, namely secondary data sourced from the Jambi Province Central Statistics Agency for the period 2018-2022 using the EViews 12 software tool. The best model in this study is the Fixed Effect Model (FEM). The results of this study indicate that the variables GRDP in the Agricultural Sector, Agricultural Land Area and Human Development Index together have a significant effect on Labor Absorption in the Agricultural Sector for the period 2018-2022. While the results of partial testing indicate that the GRDP variable in the Agricultural Sector has a negative and significant effect on Labor Absorption in the Agricultural Sector. While the variable Agricultural Land Area has no effect on Labor Absorption in the Agricultural Sector. The HDI variable has a positive and significant effect on labor absorption in the agricultural sector
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Rahayu et al. (2025) studied this question.
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