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Journal : Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce

Kontribusi Partisipasi Kerja Berbasis Gender dan Kepadatan Penduduk terhadap Petumbuhan Ekonomi di Sulawesi Selatan Dedi Mardianto
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 4 No. 1 (2025): Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v4i1.3891

Abstract

Economic growth is a description of the economic activities of a region in a continuous manner towards better economic activities in a certain period, so this discussion aims to analyze the influence of gender-based work pertypi and population density on economic growth in South Sulawesi by using time series and cross section data sourced from the Central Statistics Agency from 2018 to 2022. The method used in this discussion is using a quantitative method with a panel data regression analysis approach. The results of the study show that the gender-based work participation variable has a significant positive effect on economic growth in South Sulawesi and the variable of seat density has a significant negative effect on economic growth in South Sulawesi. Meanwhile, simultaneously gender-based work participation variables and population density have a significant impact on economic growth in South Sulawesi. So this result shows that the government must continue to encourage work participation for both men and women through the provision of jobs.
Determinan Tingkat Kemiskinan di Indonesia Afriliya Tri Putri; Dedi Mardianto
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 4 No. 1 (2025): Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v4i1.3894

Abstract

This discussion aims to analyze the influence of HDI, unemployment rates, and inflation on poverty in 5 provinces that are categorized as having high poverty rates by using cross section data and time series data for 2012-2023 sourced from the Central Statistics Agency (BPS). The method used is quantitative with a panel data regression analysis approach. The results of this discussion show that percially (t-test) the HDI variable has a significant negative effect while the unemployment rate and inflation variables have no significant effect on poverty in 5 provinces in the highest poverty category. However, simultaneously (test F) the HDI variables, unemployment rate and inflation together have a significant effect on poverty in the 5 provinces that have the highest poverty rate. Therefore, the increase in HDI reduces poverty, so policies must focus on education, health, and welfare. Unemployment and inflation need to be controlled with a comprehensive approach to the effectiveness of poverty alleviation.