Jurnal Tataloka
Vol 21, No 4 (2019): Volume 21 No 4, November 2019

ANALISIS SPASIAL KEMISKINAN DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED REGRESSION: STUDI KASUS KABUPATEN PANDEGLANG DAN LEBAK

S Sukanto (Program Studi Ekonomi Pembangunan Fakultas Ekonomi, Universitas Sriwijaya)
Bambang Juanda (Program Studi Ilmu Perencanaan Pembangunan Wilayah dan Perdesaan, Institut Pertanian Bogor)
Akhmad Fauzi (Program Studi Ilmu Perencanaan Pembangunan Wilayah dan Perdesaan, Institut Pertanian Bogor)
Sri Mulatsih (Program Studi Ilmu Perencanaan Pembangunan Wilayah dan Perdesaan, Institut Pertanian Bogor)



Article Info

Publish Date
29 Nov 2019

Abstract

Poverty is the main problem both at the national and regional development.  Existing poverty alleviation programs have not paid attention to the spatial aspect. Thus the policies are often poorly targeted. This study aims to find spatial patterns of poverty in Pandeglang and Lebak districts. Geographically weighted regression (GWR) is used to analyze the poverty data in 2016. Based on the analysis, positive spatial autocorrelation is found and clustered in 25 sub-districts. Net enrollment rates tend to reduce poverty in all sub-districts. Meanwhile, village funds, electricity, and roads tend to reduce poverty rates in more than 80% of sub-districts. Independent variables have a different response in each sub-district. Therefore, the poverty alleviation program of each sub-district is adjusting to its influencing factor.

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Journal Info

Abbrev

tataloka

Publisher

Subject

Civil Engineering, Building, Construction & Architecture

Description

Jurnal Tataloka is a peer reviewed journal publishing scientific articles, focusing mainly on research and studies in the field of urban and regional planning. TATALOKA Journal is published quarterly by Biro Penerbit Planologi (Planologi Publishing), Diponegoro University every February, May, ...