Proceedings of the Fourth International Conference on Administrative Science (ICAS 2022)

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Multidimensional Poverty in Indonesia Period 2015–2018

Authors
Putri Wulandari Atur Rejeki1, *, Rosita Novi Andari2
1Polytechnics of Graduate School of Public Administration of the National Institute of Public Administration, Bandung, Indonesia
2Research Center for Social Welfare, Village and Connectivity, The National Agency of Research and Innovation, Jakarta, Indonesia
*Corresponding author. Email: putri.wulandari@lan.go.id
Corresponding Author
Putri Wulandari Atur Rejeki
Available Online 29 September 2023.
DOI
10.2991/978-2-38476-104-3_42How to use a DOI?
Keywords
Multidimensional Poverty; Poverty Dynamics; Poverty Factors
Abstract

Poverty remains a severe problem in many countries around the world. Poverty is not only seen from the economic dimension but can be seen in a multidimensional manner, such as education, health, and living standards. This study aims to analyze the dynamics of multidimensional poverty in all provinces in Indonesia, the reduction policies, and the factors that influence it. The data used is panel data from 34 provinces in Indonesia in the 2015–2018 period. The quantitative research method used to examine the factors affecting multidimensional poverty uses multiple regression analysis. The analysis results show that simultaneously (F-statistical probability), the economic growth rate, unemployment rate, and per capita income significantly affect the multidimensional poverty rate in Indonesia. It can be seen from the R-squared value of 0.954953, which means that 95.49% of the variation of the multidimensional poverty rate in Indonesia is influenced by the three independent variables used, while other factors influence the rest. When viewed partially (t-Statistic probability), economic growth has a positive but insignificant influence on Indonesia’s multidimensional poverty rate. The unemployment rate has a positive and significant impact on the multidimensional poverty rate in Indonesia. Meanwhile, per capita Income has a significant negative influence on the multidimensional poverty rate in Indonesia.

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 Fourth International Conference on Administrative Science (ICAS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 September 2023
ISBN
978-2-38476-104-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-104-3_42How 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  - Putri Wulandari Atur Rejeki
AU  - Rosita Novi Andari
PY  - 2023
DA  - 2023/09/29
TI  - Multidimensional Poverty in Indonesia Period 2015–2018
BT  - Proceedings of the  Fourth International Conference on Administrative Science (ICAS 2022)
PB  - Atlantis Press
SP  - 439
EP  - 449
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-104-3_42
DO  - 10.2991/978-2-38476-104-3_42
ID  - Rejeki2023
ER  -