Determination Analysis of Poverty Level in Five Districts of Central Java 2017–2021

Yeni Yesica Herwanti and Eni Setyowati ()
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Yeni Yesica Herwanti: Universitas Muhammadiyah Surakarta, Faculty of Economics and Business
Eni Setyowati: Universitas Muhammadiyah Surakarta, Faculty of Economics and Business

A chapter in Proceedings of the International Conference on Economics and Business Studies (ICOEBS-22-2), 2024, pp 401-412 from Springer

Abstract: Abstract This study examines the impact of the human development index (HDI), the average length of schooling (RLS), the open unemployment rate (TPT), and regional minimum wage (UMR) on poverty levels in five districts of Central Java, including Boyolali. I’m looking into It was decided to designate Klaten, Sukoharjo, Wonogiri, and Karanganyar. The method used in this study is a panel data approach, with a cross-section consisting of five districts including Boyolali, Klaten, Sukoharjo, Wonogiri, and Karanganyar districts, and a panel covering the period from 2017 to 2021. It’s a combination of data. The analysis results of this study show that the HDI variable harms poverty with a coefficient of −57.06927, the RLS variable has a positive impact on poverty with a coefficient of 423.2996, and the TPT variable has a negative impact. About poverty. Gain. A UMR variable with a coefficient of −0.056560 has a positive impact on the poverty variable with a coefficient of 0.088153. The data analysis method used is Evaluations 10 software. The study uses secondary data from the Central Bureau of Statistics (BPS) and the National Journal for the period 2017–2021 as support. This research is expected to provide policy considerations for local governments to overcome poverty levels and develop their economies.

Keywords: Poverty; HDI; RLS; TPT; UMR (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-204-0_34

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