Quantitative analysis reveals the effects of per capita income and labor force on economic growth in Bengkulu City, suggesting policy implications.
This study aims to analyze the influence of urbanization, per capita income, and labor force participation rate on economic growth in Bengkulu City. This study uses a quantitative approach with a multiple linear regression method which is used to measure the relationship between independent variables, namely urbanization, per capita income, and the level of labor force participation to the dependent variable, namely economic growth. The data was obtained by the Central Statistics Agency (BPS) of Bengkulu City. The results showed that the variables of per capita income and labor force participation rate had a significant influence on economic growth, respectively in the direction of negative relationships. Meanwhile, urbanization has a positive but not significant influence. The determination coefficient (R-squared) of 85.1% shows that this regression model is able to explain most of the economic growth variables in Bengkulu City. This research is expected to provide insight for policymakers in formulating a more effective local economic development strategy in Bengkulu City.
No takes yet. Share an insight, caveat, or question.
Ramadhan et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: