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ANALISIS DETERMINAN PERTUMBUHAN EKONOMI SUMATERA SELATAN Nazipawati Nazipawati; Novegya Ratih Primanda; Novie Al Muhariah; Ali Akbar
EKONOMI KEUANGAN DAN BISNIS Vol 8, No 1 (2023): Ekombis Sains: Jurnal Ekonomi, Keuangan, dan Bisnis
Publisher : Universitas Sang Bumi Ruwa Jurai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24967/ekombis.v8i1.1953

Abstract

The purpose of this study was to ascertain how South Sumatra Province's economic growth would be impacted by labor availability and road infrastructure between 2002 and 2020. This study used multiple linear regression analysis as a quantitative research technique. The study's data sources came from the Central Statistics Agency (BPS) and the Public Works Service, and the data used were secondary data (time series) for a period of 19 years (2002-2020). (Bina Marga). According to the study's findings, the number of workers and the state of the roads had a major impact on economic growth in the province of South Sumatera between 2002 and 2020. The number of workers and the state of the roads are the independent factors in this study, whereas economic growth is the dependent variable. This research can be used as guidance for the regional government of South Sumatra Province to increase new employment opportunities to help absorb labor and also support central government policies in an effort to absorb labor, for example, the acquisition of pre-employment card programs and the implementation of pre-employment card programs.
Analisis Pola Spasial dan Determinan Kemiskinan di Provinsi Sumatera Selatan Nazipawati Nazipawati; Tri Mulyaningsih
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 1 (2024): Januari
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i1.4846

Abstract

The purpose of this study was to determine the spatial pattern of the poverty rate and to determine the factors that may have a spatial influence on the poverty rate in South Sumatra Province. The factors that are suspected to influence and have a spatial (regional) dependency effect on the poverty rate are economic growth, population, length of roads in good condition, number of households that have access to decent drinking water, number of villages that can receive internet signals and Gross Regional Domestic Product per capita 2021 year in 15 districts/cities. The data used in this study were sourced from the South Sumatra Central Bureau of Statistics and spatial identity data sourced from https://gadm.org/download_country_v3.html. The analysis method used is spatial regression analysis using the Stata 17 application. The results of this study show that based on the map there are groupings or clusters of poverty rates. However, there is no spatial dependency effect on the poverty rate in South Sumatra Province. Economic growth has a negative but insignificant effect on the poverty rate, population has a negative and significant effect on the poverty rate, the length of highways in good condition has a positive but insignificant effect on the poverty rate, the number of households with access to safe drinking water has a negative but insignificant effect on the poverty rate, the number of villages that can receive internet signals has a positive and significant effect on the poverty rate, and GRDP per capita has a positive and significant effect on the poverty rate in South Sumatra Province.