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

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Determinants of Indonesia’s Long-Term Economic Structure Panel Data Approach Using Logistic Multinomial Regression

Authors
Barika Barika1, *, Ketut Sukiyono1, RetnoAgustina Ekaputri1, Bambang Agoes Hermanto1
1Faculty of Economics and Business, Universitas Bengkulu, Bengkulu, Indonesia
*Corresponding author. Email: barika@unib.ac.id
Corresponding Author
Barika Barika
Available Online 21 December 2023.
DOI
10.2991/978-94-6463-328-3_17How to use a DOI?
Keywords
Economic Growth; Poverty rate; Unemployment; investment; Multinomial Logistic Regrression
Abstract

The pattern and structure of the economy in Indonesia are experiencing a contraction in line with economic development. This study aims to analyze changes in economic structure and causative factors. The analysis was conducted in panel data on 33 provinces from 2007–2021. Using Multinomial Logistic Regression to analyze the determinants of the economic position of provinces in Indonesia. The results showed that economic growth, poverty rate, unemployment rate, and investment had a significant effect on increasing the tendency of provinces that are in the classification of underdeveloped areas to become fast-growing regions. The expansion of employment opportunities coupled with inclusive economic growth is an effort to achieve a better economy.

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_17
ISSN
2352-5428
DOI
10.2991/978-94-6463-328-3_17How 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

risenwbib
TY  - CONF
AU  - Barika Barika
AU  - Ketut Sukiyono
AU  - RetnoAgustina Ekaputri
AU  - Bambang Agoes Hermanto
PY  - 2023
DA  - 2023/12/21
TI  - Determinants of Indonesia’s Long-Term Economic Structure Panel Data Approach Using Logistic Multinomial Regression
BT  - Proceedings of the 1ST Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023)
PB  - Atlantis Press
SP  - 140
EP  - 147
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-328-3_17
DO  - 10.2991/978-94-6463-328-3_17
ID  - Barika2023
ER  -