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

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

Author

Listed:
  • Barika Barika

    (Universitas Bengkulu, Faculty of Economics and Business)

  • Ketut Sukiyono

    (Universitas Bengkulu, Faculty of Economics and Business)

  • RetnoAgustina Ekaputri

    (Universitas Bengkulu, Faculty of Economics and Business)

  • Bambang Agoes Hermanto

    (Universitas Bengkulu, Faculty of Economics and Business)

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.

Suggested Citation

  • Barika Barika & Ketut Sukiyono & RetnoAgustina Ekaputri & Bambang Agoes Hermanto, 2023. "Determinants of Indonesia’s Long-Term Economic Structure Panel Data Approach Using Logistic Multinomial Regression," Advances in Economics, Business and Management Research, in: Roosemarina Anggraini Rambe & Lizar Alfansi & Robinson Robinson & Dewi Rahmayanti & Agustina Suparya (ed.), Proceedings of the 1st Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023), pages 140-147, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-328-3_17
    DOI: 10.2991/978-94-6463-328-3_17
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