ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN TERBUKA DI JAWA TIMUR 2012-2022

East Java Province has the second population density after West Java Province. This number of population can certainly be an advantage with abundant human resources or problems related to employment. This research is to find out and analyze the effect of minimum wages, population, HDI, PMTB, economic growth, and the agricultural sector has an open response rate in 38 districts/cities of East Java Province in 2012-2022. This study uses quantitative research with panel data models. The results of the research show that the data is free from classical assumption problems with the minimum wage variable having a significant positive influence, the population variable and the agriculture, forestry and fisheries variables having an insignificant and positive influence, the HDI and PMTB variables having a significant negative influence, the economic growth variable having the influence is insignificant and negative.

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Publication Details

Journal
Journal of Development Economic and Social Studies.
Published
2024-10-12
DOI
https://doi.org/10.21776/jdess.2024.03.4.17
Primary Topic
Economic Growth and Fiscal Policies
Type
article
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article

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN TERBUKA DI JAWA TIMUR 2012-2022

Kerina Della Puspita, Moh. Athoillah
Journal of Development Economic and Social Studies.
Economic Growth and Fiscal Policies
article

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN TERBUKA DI JAWA TIMUR 2012-2022

Kerina Della Puspita, Moh. Athoillah
article en

Abstract

East Java Province has the second population density after West Java Province. This number of population can certainly be an advantage with abundant human resources or problems related to employment. This research is to find out and analyze the effect of minimum wages, population, HDI, PMTB, economic growth, and the agricultural sector has an open response rate in 38 districts/cities of East Java Province in 2012-2022. This study uses quantitative research with panel data models. The results of the research show that the data is free from classical assumption problems with the minimum wage variable having a significant positive influence, the population variable and the agriculture, forestry and fisheries variables having an insignificant and positive influence, the HDI and PMTB variables having a significant negative influence, the economic growth variable having the influence is insignificant and negative.

Journal of Development Economic and Social Studies.Vol. 3(4)
University of Brawijaya (ID)
Decent work and economic growth
Openalex Percentile: Top 77%
Economic Growth and Fiscal Policies
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