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p-Index From 2020 - 2025
0.444
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All Journal Outline Journal of Economic Studies
Angela Anggraini
Unknown Affiliation
Economics, Econometrics & Finance Social Sciences

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The Effect of Population Growth and Income Inequality on Poverty: Indonesian Case Study in the Development Context Siburian, Rowinna; Angela Anggraini; Kioko Tamba; Anju Christina; Adi Susanto Hasibuan
Outline Journal of Economic Studies Vol. 3 No. 2: June - September 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/ojes.v3i2.216

Abstract

This research aims to determine the relationship between population growth, income inequality and poverty in Indonesia. The research method used is a quantitative approach with panel data regression analysis. This data was obtained through the Central Statistics Agency (BPS) and processed using the EViews 12 application. The results of the analysis show that population growth has a significant negative influence on poverty, with a coefficient of -0.195 and a prob of 0.04). On the other hand, income inequality shows a significant positive effect on poverty with a coefficient of 18.558 and a probability of 0.001. Simultaneous hypothesis testing shows that the overall regression model is significant, with an F-statistic value of 11.879 (p = 0.000015). However, only 12.4% of the variation in poverty levels can be explained by population growth and income inequality, while 87.6% is explained by other factors not included in this study.
Analysis Analysis of Leading Sectors in Binjai City Using the Location Quotient (LQ) And Shift Share Method Siburian, Rowinna; Angela Anggraini; Muammar Rinaldi
Outline Journal of Economic Studies Vol. 4 No. 1: October - March 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/8n6b6a32

Abstract

This article analyzes the leading sectors of Binjai City using the Location Quotient (LQ) method based on Gross Regional Domestic Product (GRDP) data from 2019 to 2023. Secondary data was collected from the Central Statistics Agency (BPS) using a quantitative approach. The results of the analysis show that sectors with an LQ value above 1 have the potential to become the basis of the economy, especially the Mining and Quarrying sector which will reach an LQ of 2.45 in 2023. A focus on development on leading sectors such as Mining, Education Services and Accommodation Provision is needed to encourage sustainable economic growth . The analysis also indicates a positive contribution from specialized sectors with a stable National Growth Component (KPN) value of 0.31, where the agriculture, forestry, fisheries and wholesale and retail trade sectors show significant growth.
Co-Authors Adi Susanto Hasibuan Anju Christina Kioko Tamba Muammar Rinaldi Siburian, Rowinna