Muhammad Athaya Kailashandy
Universitas Sultan Ageng Tirtayasa

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ANALISIS PENGARUH KEMISKINAN TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI SUMATERA SELATAN TAHUN 2012-2021 Muhammad Rafi Zain; Umar Hariyadi; Muhammad Athaya Kailashandy; Isvan Aditya Nugraha; Firdaus Aulia Fauzi; Deris Desmawan
Journal Of Business, Finance, and Economics (JBFE) Vol 4, No 1 (2023): Journal Of Business, Finance, and Economics (JBFE)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbfe.v4i1.3671

Abstract

Poverty and economic growth in South Sumatra Province need attention from the government of South Sumatra, if there is a correlation between the examined variables. The variable being tested is the independent variable, namely poverty and the dependent variable, namely economic growth. This examination utilizes the quantitative approach and relies on secondary data sources in the form of information from the Central Bureau of Statistics. The results obtained after being tested multiple linear regression analysis, namely poverty, found no relevant effect on economic growth. If the poverty rate increases, then it cannot be determined that the economic growth rate will decrease in South Sumatra Province.
ANALISIS PENGARUH KEMISKINAN TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI SUMATERA SELATAN TAHUN 2012-2021 Muhammad Rafi Zain; Umar Hariyadi; Muhammad Athaya Kailashandy; Isvan Aditya Nugraha; Firdaus Aulia Fauzi; Deris Desmawan
Journal Of Business, Finance, and Economics (JBFE) Vol 4 No 1 (2023): Journal Of Business, Finance, and Economics (JBFE)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbfe.v4i1.3671

Abstract

Poverty and economic growth in South Sumatra Province need attention from the government of South Sumatra, if there is a correlation between the examined variables. The variable being tested is the independent variable, namely poverty and the dependent variable, namely economic growth. This examination utilizes the quantitative approach and relies on secondary data sources in the form of information from the Central Bureau of Statistics. The results obtained after being tested multiple linear regression analysis, namely poverty, found no relevant effect on economic growth. If the poverty rate increases, then it cannot be determined that the economic growth rate will decrease in South Sumatra Province.