IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-204-0_10.html

Analysis of Factors Affecting the Number of Poor People in Central Java in 2017–2021

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

Author

Listed:
  • Annisa Fadhila Zahra Nizar

    (Universitas Muhammadiyah Surakarta, Faculty of Economics and Business)

  • Maulidyah Indira Hasmarini

    (Universitas Muhammadiyah Surakarta, Faculty of Economics and Business)

Abstract

The purpose of this research is to examine the direction and amount of the impact of the open unemployment rate, district/city minimum wage, population density, economic growth, and domestic investment on the number of poor people in Central Java between 2017 and 2021. The research data used in this study is secondary data obtained from the Central Statistics Agency (BPS). Panel data regression analysis was used in this work, which included time series data from 2017 to 2021 as well as cross-section data from 35 regencies/cities in Central Java. The data is analyzed with Eviews10, and the resulting equation is the Fixed Effect Model (FEM). The findings revealed that three of the five independent factors had a substantial or genuine influence on the dependent variable, namely the number of poor people. These independent variables include the level of open unemployment which has a positive and real effect, the district/city minimum wage has a negative and real effect and domestic investment has a positive and real effect on the number of poor people. Meanwhile, the variables of population density and economic growth have no effect on the number of poor people. In the research conducted, it was discovered that the coefficient of determination (R2) was 0.9956, meaning that 99.56% of the number's fluctuation of poor people could be explained by variable variations in the open unemployment rate, district/city minimum wage, population density, economic growth and domestic investment and the remaining 0.44% variations in factors excluded from the study explained.

Suggested Citation

  • Annisa Fadhila Zahra Nizar & Maulidyah Indira Hasmarini, 2024. "Analysis of Factors Affecting the Number of Poor People in Central Java in 2017–2021," Advances in Economics, Business and Management Research, in: Huda Maulana & Muhammad Sholahuddin & Muhammad Anas & Zulfikar Zulfikar (ed.), Proceedings of the International Conference on Economics and Business Studies (ICOEBS-22-2), pages 111-124, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-204-0_10
    DOI: 10.2991/978-94-6463-204-0_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-204-0_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.