Government Intervention Strategy in Poverty Reduction
Poverty remains a significant challenge in Indonesia, with a national rate of around 9.36% in 2023 and 16 provinces exceeding this poverty level. This study aims to analyze poverty patterns across districts and cities by using K-Means Clustering and examine the effectiveness of government intervent...
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Bina Praja Press
2024-12-01
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Online Access: | https://jurnal.kemendagri.go.id/index.php/jbp/article/view/2331 |
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author | Aln Pujo Priambodo Mohammad Ahlis Djirimu |
author_facet | Aln Pujo Priambodo Mohammad Ahlis Djirimu |
author_sort | Aln Pujo Priambodo |
collection | DOAJ |
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Poverty remains a significant challenge in Indonesia, with a national rate of around 9.36% in 2023 and 16 provinces exceeding this poverty level. This study aims to analyze poverty patterns across districts and cities by using K-Means Clustering and examine the effectiveness of government interventions in poverty reduction through panel data regression with the Fixed Effect Model (FEM). Results indicate that higher-poverty areas benefit most from social assistance, village funds, credit schemes, and GRDP, while capital spending exacerbates poverty. On the other hand, lower-poverty areas achieve reductions through capital spending, village funds, and GRDP, with minimal impact from social assistance and credit schemes. Also, these results emphasize the need for targeted interventions, such as optimizing social assistance and credit access programs in higher-poverty areas and implementing growth-focused strategies, including physical infrastructure development, in lower-poverty regions.
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format | Article |
id | doaj-art-7df9154283564eb8a168f186da06d7b5 |
institution | Kabale University |
issn | 2085-4323 2503-3360 |
language | English |
publishDate | 2024-12-01 |
publisher | Bina Praja Press |
record_format | Article |
series | Jurnal Bina Praja |
spelling | doaj-art-7df9154283564eb8a168f186da06d7b52025-01-29T02:33:41ZengBina Praja PressJurnal Bina Praja2085-43232503-33602024-12-0116310.21787/jbp.16.2024.489-508Government Intervention Strategy in Poverty ReductionAln Pujo Priambodo0Mohammad Ahlis Djirimu1Regional Office of the Directorate General of Treasury of Central Sulawesi Province, Palu City, IndonesiaUniversitas Tadulako, Palu City, Indonesia Poverty remains a significant challenge in Indonesia, with a national rate of around 9.36% in 2023 and 16 provinces exceeding this poverty level. This study aims to analyze poverty patterns across districts and cities by using K-Means Clustering and examine the effectiveness of government interventions in poverty reduction through panel data regression with the Fixed Effect Model (FEM). Results indicate that higher-poverty areas benefit most from social assistance, village funds, credit schemes, and GRDP, while capital spending exacerbates poverty. On the other hand, lower-poverty areas achieve reductions through capital spending, village funds, and GRDP, with minimal impact from social assistance and credit schemes. Also, these results emphasize the need for targeted interventions, such as optimizing social assistance and credit access programs in higher-poverty areas and implementing growth-focused strategies, including physical infrastructure development, in lower-poverty regions. https://jurnal.kemendagri.go.id/index.php/jbp/article/view/2331Poverty ReductionK-Means ClusteringLocal Government ExpenditureGovernment Credit Program |
spellingShingle | Aln Pujo Priambodo Mohammad Ahlis Djirimu Government Intervention Strategy in Poverty Reduction Jurnal Bina Praja Poverty Reduction K-Means Clustering Local Government Expenditure Government Credit Program |
title | Government Intervention Strategy in Poverty Reduction |
title_full | Government Intervention Strategy in Poverty Reduction |
title_fullStr | Government Intervention Strategy in Poverty Reduction |
title_full_unstemmed | Government Intervention Strategy in Poverty Reduction |
title_short | Government Intervention Strategy in Poverty Reduction |
title_sort | government intervention strategy in poverty reduction |
topic | Poverty Reduction K-Means Clustering Local Government Expenditure Government Credit Program |
url | https://jurnal.kemendagri.go.id/index.php/jbp/article/view/2331 |
work_keys_str_mv | AT alnpujopriambodo governmentinterventionstrategyinpovertyreduction AT mohammadahlisdjirimu governmentinterventionstrategyinpovertyreduction |