Proceedings of the 1ST Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023)

Poverty Determinant Models: Interregional Study in Indonesia

Authors
Eka Dewi Anggraini1, *, Barika Barika2, Benardin Benardin3
1Faculty of Economics and Business, Universitas Bengkulu, Bengkulu, Indonesia
2Faculty of Economics and Business, Universitas Bengkulu, Bengkulu, Indonesia
3Faculty of Economics and Business, Universitas Bengkulu, Bengkulu, Indonesia
*Corresponding author. Email: ekadewia@yahoo.co.id
Corresponding Author
Eka Dewi Anggraini
Available Online 21 December 2023.
DOI
10.2991/978-94-6463-328-3_27How to use a DOI?
Keywords
Poverty; Regional Expansion; Economic Growth; Government Spending; Special Allocation Funds
ABSTRACT

This research aims to analyze nine models of poverty determinants in seven regions in Indonesia. The formation of the model is based on model 1, namely the poverty trap, economic growth, DAK, and spending on government functions which consists of spending on education, health, economic functions, social protection, as well as housing and public facilities. The next model was formed by combining the economic growth variables and DAK with GDP per capita and real GDP, as well as DAK with DAK for 1 year and DAK for the previous 2 years, while the poverty trap and government function spending remained the same and were not combined. In this way, nine poverty determinant models were obtained which were applied to seven regions in Indonesia, namely Sumatra, Java and Bali, Kalimantan, Sulawesi, Nusa Tenggara, Maluku and Papua. This research uses secondary data from BPK and BPS. The data used is panel data from 509 districts/cities (cross section) in 2014–2020 (time series). The method used is panel data regression analysis. This research produces a model of the determinants of poverty in each region. The determinant model for the Sumatra region is model 1, Java and Bali are models 6 and 9, Kalimantan is models 2 and 3, Sulawesi is models 4 and 7, Maluku is models 1 and 2, and Nusa Tenggara and Papua are models 2 and 3. The poverty trap variable is significantly has a positive direction in all regions, which means that the worse the poverty level was in the past year, the current poverty level will increase. Therefore, to overcome poverty levels in the coming year, the significant variables produced in this research model can be used as a reference.

Copyright
© 2023 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 1ST Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
21 December 2023
ISBN
10.2991/978-94-6463-328-3_27
ISSN
2352-5428
DOI
10.2991/978-94-6463-328-3_27How to use a DOI?
Copyright
© 2023 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

TY  - CONF
AU  - Eka Dewi Anggraini
AU  - Barika Barika
AU  - Benardin Benardin
PY  - 2023
DA  - 2023/12/21
TI  - Poverty Determinant Models: Interregional Study in Indonesia
BT  - Proceedings of the 1ST Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023)
PB  - Atlantis Press
SP  - 219
EP  - 227
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-328-3_27
DO  - 10.2991/978-94-6463-328-3_27
ID  - Anggraini2023
ER  -