IDENTIFIKASI AUTOKORELASI SPASIAL KEMISKINAN, PENGANGGURAN, DAN PERTUMBUHAN EKONOMI DI PULAU KALIMANTAN

MAHARDHIKA, DAFFA and Bashir, Abdul (2023) IDENTIFIKASI AUTOKORELASI SPASIAL KEMISKINAN, PENGANGGURAN, DAN PERTUMBUHAN EKONOMI DI PULAU KALIMANTAN. Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to identify spatial autocorrelations and patterns of distribution of poverty, unemployment, and economic growth in Kalimantan for the 2017 and 2020 periods. The research methods used are Morran's I, Morran Scatterplot, Local Indicator of Spatial Autocorrelation (LISA), and Klassen Typology. The results of the Morran Index on the distribution of unemployment, poverty and economic growth on the island of Kalimantan show that there is a positive spatial autocorrelation with a clustered pattern. The distribution of the unemployment rate, poverty rate, and economic growth rate in Kalimantan Island is quite even with an average of 19 districts/cities including the distribution of the low category, 18 districts/cities including the distribution of the medium category, and 19 districts/cities including the distribution of the high category. The results of the LISA cluster map on the unemployment rate, poverty level, and economic growth in Kalimantan Island show that the regions varied in High-High, High-Low, Low-High, and Low-Low clusters. The results of the Klassen typology between the three variables show that Kalimantan Island is already in the category of advanced and fast, developing fast, but some are still under pressure and some are even left behind due to significant changes in the last 4 years and also as an impact of the Covid-19 pandemic in the 2020 observation period.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Autokorelasi Spasial; Kemiskinan; Pengangguran; Pertumbuhan Ekonomi; Morran’s I; LISA; Tipologi Klassen
Subjects:	H Social Sciences > HB Economic Theory > HB1-3840 Economic theory. Demography
Divisions:	01-Faculty of Economics > 60201-Development Economics (S1)
Depositing User:	M. Daffa Mahardhika
Date Deposited:	16 Mar 2023 07:46
Last Modified:	16 Mar 2023 07:46
URI:	http://repository.unsri.ac.id/id/eprint/91027

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