Analisis Pengaruh Tingkat Pengangguran dan IPM Terhadap Tingkat Kemiskinan di Provinsi Papua

The purpose of this study is to analyze the effect of unemployment rate and Human Development Index (HDI) on poverty rate in Papua Province in 2017-2022. The indicator used to measure unemployment is the Open Unemployment Rate (TPT), the indicator of the Human Development Index (HDI) is the HDI figure and the indicator of poverty rate is the percentage of poor people. The TPT and HDI are independent variables, while the poverty rate is an independent variable. The analysis method uses multiple linear regression analysis which results in a regression equation Yt = 61.944 - 0.525X1 - 0.550X2. From the t-test results, it can be seen that the TPT and HDI variables partially have a negative and significant effect on poverty rate in Papua Province. From the results of the F test, simultaneously, the TPT and HDI affect poverty rate in Papua Province. Those two independent variables are able to explain the movement of poverty rate by 59.5 percent.

Authors

Publication Details

Journal
VISA Journal of Vision and Ideas
Published
2024-08-21
DOI
https://doi.org/10.47467/visa.v4i3.3347
Primary Topic
Economic Growth and Fiscal Policies
Type
article
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article

Analisis Pengaruh Tingkat Pengangguran dan IPM Terhadap Tingkat Kemiskinan di Provinsi Papua

Grace Salindeho, Intan Selfina N. Sinaga
VISA Journal of Vision and Ideas
Economic Growth and Fiscal Policies
article

Analisis Pengaruh Tingkat Pengangguran dan IPM Terhadap Tingkat Kemiskinan di Provinsi Papua

Grace Salindeho, Intan Selfina N. Sinaga
article en

Abstract

The purpose of this study is to analyze the effect of unemployment rate and Human Development Index (HDI) on poverty rate in Papua Province in 2017-2022. The indicator used to measure unemployment is the Open Unemployment Rate (TPT), the indicator of the Human Development Index (HDI) is the HDI figure and the indicator of poverty rate is the percentage of poor people. The TPT and HDI are independent variables, while the poverty rate is an independent variable. The analysis method uses multiple linear regression analysis which results in a regression equation Yt = 61.944 - 0.525X1 - 0.550X2. From the t-test results, it can be seen that the TPT and HDI variables partially have a negative and significant effect on poverty rate in Papua Province. From the results of the F test, simultaneously, the TPT and HDI affect poverty rate in Papua Province. Those two independent variables are able to explain the movement of poverty rate by 59.5 percent.

VISA Journal of Vision and IdeasVol. 4(3)
No poverty
Openalex Percentile: Top 83%
Economic Growth and Fiscal Policies
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