Analysis of the Influence of Population, Education Level and Unemployment on Poverty Levels in West Nusa Tenggara Province 2017 – 2023

This study was conducted to analyze the influence of population, education level, and unemployment rate partially and simultaneously on poverty levels in all districts and cities in West Nusa Tenggara Province. The West Nusa Tenggara Central Statistics Agency provided the secondary data used in this investigation. The data analyzed is in the form of panel data, covering the period 2017 to 2023 according to Regency/City in West Nusa Tenggara Province. To analyze the relationship between independent variables and dependent variables, this study uses the panel data regression method. The study's findings indicate that population and education levels have a strong detrimental impact on poverty. This means that an increase in population and higher education levels tend to reduce poverty levels. Meanwhile, the unemployment rate also has a negative effect on poverty, but the effect is not significant, which means that the increase in unemployment does not directly have a major impact on poverty levels in the areas studied.

Authors

Institutions

Publication Details

Journal
Formosa Journal of Multidisciplinary Research
Published
2025-04-24
DOI
https://doi.org/10.55927/fjmr.v4i4.127
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Influence of Population, Education Level and Unemployment on Poverty Levels in West Nusa Tenggara Province 2017 – 2023

Emi Salmah, Ahmad Zaenal Wafik, Baiq Zaka An Nisaa'
Formosa Journal of Multidisciplinary Research
Economic Growth and Fiscal Policies
article

Analysis of the Influence of Population, Education Level and Unemployment on Poverty Levels in West Nusa Tenggara Province 2017 – 2023

Emi Salmah, Ahmad Zaenal Wafik, Baiq Zaka An Nisaa'
article en

Abstract

This study was conducted to analyze the influence of population, education level, and unemployment rate partially and simultaneously on poverty levels in all districts and cities in West Nusa Tenggara Province. The West Nusa Tenggara Central Statistics Agency provided the secondary data used in this investigation. The data analyzed is in the form of panel data, covering the period 2017 to 2023 according to Regency/City in West Nusa Tenggara Province. To analyze the relationship between independent variables and dependent variables, this study uses the panel data regression method. The study's findings indicate that population and education levels have a strong detrimental impact on poverty. This means that an increase in population and higher education levels tend to reduce poverty levels. Meanwhile, the unemployment rate also has a negative effect on poverty, but the effect is not significant, which means that the increase in unemployment does not directly have a major impact on poverty levels in the areas studied.

Formosa Journal of Multidisciplinary ResearchVol. 4(4)
University of Mataram (ID)
Openalex Percentile: Top 86%
Economic Growth and Fiscal Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.