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ANALYSIS OF THE INFLUENCE OF POVERTY, HUMAN DEVELOPMENT INDEX, AND POPULATION ON INCOME INEQUALITY IN NORTH SUMATRA 2018-2022 Simbolon, Cinta Marito; Nisa, Fadila; Pinem, Haifa Azalia; Sinaga, Darwin; Tobing, Kristanto Lumban; Hidayat, Nasrullah
Quantitative Economics Journal Vol 12, No 2 (2023): OKTOBER 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i2.52639

Abstract

This study seeks to investigate the extent to which income inequality in North Sumatra for the 2018-2022 period is impacted by poverty, the human development index (HDI), and population. It employs quantitative methods along with descriptive analysis. The data used for this research is derived from the North Sumatra Central Statistics Agency (BPS) and covers a four-year span from 2018 to 2022. The data analysis approach incorporates Fixed Effects, determined through the Chow test and Hausman test. The findings of this investigation reveal the following: (1) The independent variables, specifically poverty, HDI, and population, exert a significant influence on income inequality in the North Sumatra province. (2) Poverty has a negative impact on income inequality in North Sumatra, but not to a statistically significant extent. (3) The HDI variable shows a negative and statistically significant impact on income inequality in North Sumatra. (4) The Population variable shows a positive and statistically significant impact on income inequality in North Sumatra.
Analysis of the Influence of Poverty, Human Development Index, and Population on Income Inequality in North Sumatra 2018-2022 Simbolon, Cinta Marito; Nisa, Fadila; Pinem, Haifa Azalia; Sinaga, Darwin Eros; Tobing, Roy Kristanto Lumban; Hidayat, Nasrullah
Indonesian Journal of Advanced Research Vol. 2 No. 10 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v2i10.6334

Abstract

This research aims to find out how much influence poverty, the human development index, and population have on income inequality in North Sumatra for the 2018-2022 period. This research uses quantitative methods with descriptive analysis. The data used in this research is secondary data sourced from the North Sumatra Central Statistics Agency (BPS) for 4 years from 2018-2022. The data analysis technique uses Fixed Effects based on the results of the Chow test and Hausman test. The results of this research show that (1) the independent variables, namely poverty, HDI, and population have a significant effect on inequality in North Sumatra province, (2) poverty has a negative effect but does not have a significant effect on income inequality in North Sumatra province. North Sumatra, (3) the HDI variable has a negative and significant effect on income inequality in North Sumatra. and (4) the Population variable has a positive and significant effect on income inequality in North Sumatra.
ANALYSIS OF THE INFLUENCE OF POVERTY, HUMAN DEVELOPMENT INDEX, AND POPULATION ON INCOME INEQUALITY IN NORTH SUMATRA 2018-2022 Simbolon, Cinta Marito; Nisa, Fadila; Pinem, Haifa Azalia; Sinaga, Darwin; Tobing, Kristanto Lumban; Hidayat, Nasrullah
Quantitative Economics Journal Vol. 12 No. 2 (2023): OKTOBER 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i2.52639

Abstract

This study seeks to investigate the extent to which income inequality in North Sumatra for the 2018-2022 period is impacted by poverty, the human development index (HDI), and population. It employs quantitative methods along with descriptive analysis. The data used for this research is derived from the North Sumatra Central Statistics Agency (BPS) and covers a four-year span from 2018 to 2022. The data analysis approach incorporates Fixed Effects, determined through the Chow test and Hausman test. The findings of this investigation reveal the following: (1) The independent variables, specifically poverty, HDI, and population, exert a significant influence on income inequality in the North Sumatra province. (2) Poverty has a negative impact on income inequality in North Sumatra, but not to a statistically significant extent. (3) The HDI variable shows a negative and statistically significant impact on income inequality in North Sumatra. (4) The Population variable shows a positive and statistically significant impact on income inequality in North Sumatra.