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Cinta Marito Simbolon
Universitas Negeri Medan
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Analysis of the Effect of the Human Development Index, the Open Unemployment Rate on the Poverty Rate in North Sumatra, 2004 – 2022 Haifa Azalia Pinem; Cinta Marito Simbolon; Uci Aulia Sinaga
Indonesian Journal of Advanced Research Vol. 2 No. 5 (2023): May, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v2i5.4140

Abstract

The purpose of this study was to analyze the effect of the Human Development Index (IPM) and the Open Unemployment Rate (TPT) on the poverty rate in North Sumatra in the long and short term. The data used in this research is secondary data obtained from the Central Bureau of Statistics from 2004-2022. The analysis used is regression analysis with the Error Correction Model (ECM) method. The tests used in the model are Stationarity Test, R-Square Test, F Test and T Test. The results of this study are that in the long run the Human Development Index (IPM) has a negative and significant effect on the Poverty Rate in North Sumatra while the Open Unemployment Rate (TPT) ) has a positive and significant effect on the Poverty Level in North Sumatra. In the short term the Human Development Index (IPM) and the Open Unemployment Rate (TPT) have a negative and significant effect on the Poverty Rate in North Sumatra.
Analysis of the Influence of Poverty, Human Development Index, and Population on Income Inequality in North Sumatra 2018-2022 Cinta Marito Simbolon; Fadila Nisa; Haifa Azalia Pinem; Darwin Eros Sinaga; Roy Kristanto Lumban Tobing; Nasrullah Hidayat
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.
Co-Authors Darwin Eros Sinaga Fadila Nisa Haifa Azalia Pinem Nasrullah Hidayat Roy Kristanto Lumban Tobing Uci Aulia Sinaga