Spatial regression model of poverty in the province of North Sumatera on 2017

The research is done to determine the model of poverty in the Province of North Sumatera with spatial regression, to analyze the factors that affect it and to definite the effective spatial regression in analyzing it. Spatial regression used is Spatial Autoregressive Model (SAR). The data used is se...

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Veröffentlicht in:Journal of physics. Conference series 2023-01, Vol.2421 (1), p.12003
Hauptverfasser: Darnius, Open, Tambunan, Yohana
Format: Artikel
Sprache:eng
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Zusammenfassung:The research is done to determine the model of poverty in the Province of North Sumatera with spatial regression, to analyze the factors that affect it and to definite the effective spatial regression in analyzing it. Spatial regression used is Spatial Autoregressive Model (SAR). The data used is secondary data from Statistics Indonesia of Province of North Sumatra. The result shows that predictor variables which affect the response variable are The Index of Human Development ( X 3 ) and The Percentage of Population Destiny ( X 4 ). The value of ( R 2 ) is 72,78%.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2421/1/012003