Proceedings of the International Conference on Economics and Business Studies (ICOEBS-22-2)

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

Authors
Yeni Yesica Herwanti1, Eni Setyowati1, *
1Faculty of Economics and Business, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia
*Corresponding author. Email: es241@ums.ac.id
Corresponding Author
Eni Setyowati
Available Online 4 October 2023.
DOI
10.2991/978-94-6463-204-0_34How to use a DOI?
Keywords
Poverty; HDI; RLS; TPT; UMR
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Economics and Business Studies (ICOEBS-22-2)
Series
Advances in Economics, Business and Management Research
Publication Date
4 October 2023
ISBN
10.2991/978-94-6463-204-0_34
ISSN
2352-5428
DOI
10.2991/978-94-6463-204-0_34How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yeni Yesica Herwanti
AU  - Eni Setyowati
PY  - 2023
DA  - 2023/10/04
TI  - Determination Analysis of Poverty Level in Five Districts of Central Java 2017–2021
BT  - Proceedings of the International Conference on Economics and Business Studies (ICOEBS-22-2)
PB  - Atlantis Press
SP  - 401
EP  - 412
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-204-0_34
DO  - 10.2991/978-94-6463-204-0_34
ID  - Herwanti2023
ER  -