Geographically Weighted Panel Regression with Fixed Effect Model: Spatio-Temporal Modeling of Poverty Rates in Central Java 2020-2023.
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| Title: | Geographically Weighted Panel Regression with Fixed Effect Model: Spatio-Temporal Modeling of Poverty Rates in Central Java 2020-2023. |
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| Authors: | Putra, Robiansyah1 robiansyah@usu.ac.id, Fadhlurrahman, Muhammad Ghani2 mghanif1109@gmail.com, Tyas, Sischa Wahyuning3 sischa_wahyuning.sada@upnjatim.ac.id |
| Source: | IAENG International Journal of Applied Mathematics. Mar2026, Vol. 56 Issue 3, p1006-1019. 14p. |
| Subjects: | Fixed effects model, Spatiotemporal processes, Poverty rate, Indonesians, Provinces |
| Geographic Terms: | Indonesia, Jawa Tengah (Indonesia) |
| Abstract: | Poverty remains a serious issue in Indonesia, particularly in Central Java Province. The poverty rate in Central Java has consistently been above the national average and is the highest in the Java-Bali region after the Special Region of Yogyakarta (DIY). The factors influencing the poverty rate in Central Java over a given period can be analyzed using the Geographically Weighted Panel Regression (GWPR) model. Based on the results, the GWPR model with the fixed exponential weighting method achieved a coefficient of determination of 93.71%, whereas the Fixed Effect Model (FEM) panel data regression, as a global regression model, attained only 49.49%. This indicates that the GWPR model provides a more optimal fit for analyzing poverty rates in Central Java during the 2020-2023 period compared to the FEM panel data regression. Furthermore, the GWPR model reveals that each district has distinct influencing factors due to spatial effects. For instance, in Wonosobo, the factors affecting the poverty rate are X2, X3, X5, X6, and X7, whereas in Pati, only X6 has a significant effect. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191967199 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Geographically Weighted Panel Regression with Fixed Effect Model: Spatio-Temporal Modeling of Poverty Rates in Central Java 2020-2023. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Putra%2C+Robiansyah%22">Putra, Robiansyah</searchLink><relatesTo>1</relatesTo><i> robiansyah@usu.ac.id</i><br /><searchLink fieldCode="AR" term="%22Fadhlurrahman%2C+Muhammad+Ghani%22">Fadhlurrahman, Muhammad Ghani</searchLink><relatesTo>2</relatesTo><i> mghanif1109@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tyas%2C+Sischa+Wahyuning%22">Tyas, Sischa Wahyuning</searchLink><relatesTo>3</relatesTo><i> sischa_wahyuning.sada@upnjatim.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Mar2026, Vol. 56 Issue 3, p1006-1019. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fixed+effects+model%22">Fixed effects model</searchLink><br /><searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br /><searchLink fieldCode="DE" term="%22Poverty+rate%22">Poverty rate</searchLink><br /><searchLink fieldCode="DE" term="%22Indonesians%22">Indonesians</searchLink><br /><searchLink fieldCode="DE" term="%22Provinces%22">Provinces</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indonesia%22">Indonesia</searchLink><br /><searchLink fieldCode="DE" term="%22Jawa+Tengah+%28Indonesia%29%22">Jawa Tengah (Indonesia)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Poverty remains a serious issue in Indonesia, particularly in Central Java Province. The poverty rate in Central Java has consistently been above the national average and is the highest in the Java-Bali region after the Special Region of Yogyakarta (DIY). The factors influencing the poverty rate in Central Java over a given period can be analyzed using the Geographically Weighted Panel Regression (GWPR) model. Based on the results, the GWPR model with the fixed exponential weighting method achieved a coefficient of determination of 93.71%, whereas the Fixed Effect Model (FEM) panel data regression, as a global regression model, attained only 49.49%. This indicates that the GWPR model provides a more optimal fit for analyzing poverty rates in Central Java during the 2020-2023 period compared to the FEM panel data regression. Furthermore, the GWPR model reveals that each district has distinct influencing factors due to spatial effects. For instance, in Wonosobo, the factors affecting the poverty rate are X2, X3, X5, X6, and X7, whereas in Pati, only X6 has a significant effect. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1006 Subjects: – SubjectFull: Fixed effects model Type: general – SubjectFull: Spatiotemporal processes Type: general – SubjectFull: Poverty rate Type: general – SubjectFull: Indonesians Type: general – SubjectFull: Provinces Type: general – SubjectFull: Indonesia Type: general – SubjectFull: Jawa Tengah (Indonesia) Type: general Titles: – TitleFull: Geographically Weighted Panel Regression with Fixed Effect Model: Spatio-Temporal Modeling of Poverty Rates in Central Java 2020-2023. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Putra, Robiansyah – PersonEntity: Name: NameFull: Fadhlurrahman, Muhammad Ghani – PersonEntity: Name: NameFull: Tyas, Sischa Wahyuning IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 3 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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