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Analysis of Development Inequality Between Regions in java and bali : Economic Spatial Approach Fadjri Ramadhan; Muhammad Hidayat; Neng Murialti
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 3 No. 11 (2024): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v3i11.1240

Abstract

Economic activities often experience disparities (inequalities) in regional development, this is due to differences in natural resources and geographical conditions in each área area. This study aims to find out which regions experience development inequality. This research uses reference data on Gross Regional Domestic Product and Number of Population in Java and Bali, with a range of 2011 – 2022. The method of measuring development disparity using the Theil One Stage and Two Stage Index. The results of this study show that inequality in Java and Bali occurs mostly in East Java and Bali. With a tendency to increase trend (convergen). So the theory of Neo-classical Hypothesis is in line with this research. And inequality in the region (Whitin Region) has a high inequality value of 210% - 146% from 2019 - 2022, while from the second stage 47% - 46%. The conclusion of this study shows that Java and Bali experience high development inequality, with economic interactions between regions reinforcing the inequality.  
Analysis of Declining Birth Rates in South Korea Wendi Defandri; Neng Murialti; Muhammad Hidayat
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 3 No. 11 (2024): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v3i11.1246

Abstract

The decline in the total fertility rate in South Korea has reached the lowest position worldwide, in 2022 the total fertility rate is 0.78 children per woman. This study aims to see the effect of the number of marriages, the number of elderly population, divorce rates, and house prices on the total fertility rate in South Korea. By taking several samples of areas namely the metropolitan cities (???) of Kwangju, Deajon, and Ulsan. Special self-governing city (?????) of Sejong, Gangwon Province (???), North Jeolla Province (????), and Special Self-Government Province (?????) of Jeju. This study used Korean Statistics data (KOSIS ??????) with a panel data test tool (Data pool). The results of this study show that the factors of the decline in the total fertility rate in South Korea are reduced marriage rates and soaring elderly population.