<![CDATA[The purpose of this study is to examine how human resources and productive age affect economic growth in NTB from 2017 to 2022. Quantitative research is the methodology employed. The type of data used in this study is secondary data gathered from books, journals, papers, theses and agency documents originating from the Central Statistics Agency (BPS) of NTB Province. The Eviews 12 program is utilized to handle the data, and panel data regression analysis using a Random Approach Effect Model is the data analysis technique employed. The study's findings suggest that the Independent Technology variable has no effect on economic growth on its own, as evidenced by its t-value of 1.5206 and likelihood of a technology variable of 0.138 or higher than α = 0.05 (0.138> 0.05). There is a significant impact of the Human Resources variable on economic growth, as indicated by its t-value of 4.7519 and probability of a Human Resources variable of 0.00 or less than α = 0.05 (0.00> 0.05). On the other hand, the Productive Age variable has a t-value of 7.9570 and probability of an economic growth variable of 0.00 or less than 0.05 (0.00> 0.05), indicating that the productive age variable has a significant impact on economic growth.]]>
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