Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan Kabupaten dan Kota Provinsi Sulawesi Selatan

Abstract

The purpose of this study is to analyze the factors that influence the poverty rates in the Regencies and Cities of South Sulawesi Province. This type of research is applied research with secondary quantitative data. The data used in this study are secondary data obtained by the Central Statistics Agency (BPS) including population data; PDRB per capita; AMH, AHH, and the poverty rates of Regencies and Cities in South Sulawesi in 2019. Based on the results of the study it can be concluded that the population, per capita GRDP, AMH and AHH simultaneously affect the poverty rates of Regencies and Cities in South Sulawesi. Whereas, partially per capita GRDP variable and AMH variable significantly influence the poverty rates of Regencies and Cities in South Sulawesi. With the coefficient of determination each variable has a contribution to the poverty rate of 57.7% and the remaining 42.3% is influenced by other indicators not yet examined. The suggestions for the improvement and development of subsequent research is by adding other variables that can affect poverty rates. With the hope that there will be efforts from all parties, especially the local government, to present superior programs, for example the UMKM development program that can reduce poverty and have an impact on people's welfare.

Analysis of Factors Affecting the Demand for Money in Indonesia

“…Real assets have higher risks than monetary assets, especially in conditions of economic and political uncertainty. Monetary assets have higher liquidity than real assets, so they can be easily is in line with research conducted by (Ahmad Ridha et al, 2021;Arwin et al, 2019;Folarin & Asongu, 2023;Hayati, 2015;Nurmetri & Adnan, 2022;Nursiba, 2015;Polontalo et al, 2018;Setiadi, 2013;Wang et al, 2014;Widodo A, 2015;Yulimar, 2015) One of the factors influencing M2 money demand is interest rates. Interest rates have a negative correlation with M2 money demand due to two effects: the substitution effect and the income effect.…”

Typology analysis and correlation between poverty, health, and education in central kalimantan

“…Study (Harianja et al, 2018) use The Average Length of Schooling is a representation of the level of education showed that negatively affects on poverty, but Life Expectancy has no effect on poverty in Papua. Result (Suryati & Syukri, 2019) partially Life Expectancy has no effect on the poverty rate in South Sulawesi.…”

Strategi Percepatan Pengentasan Kemiskinan di Kabupaten Tuban melalui Sinergitas Program dan Kolaborasi Multi Stakeholder

“…Terdapat beberapa paramater dalam SNA untuk mengukur sentralitas aktor dalam hubungannya pada suatu jaringan kelompok antara lain melalui degree centrality, closeness centrality, dan betweenness centrality [11]. Dalam analisis jaringan sosial (SNA), input data yang direpresentasikan adalah Faktor Kunci Pengentasan Kemiskinan -Pertumbuhan penduduk yang tinggi [1] Penyediaan basis data terpadu kemiskinan -Terbentuknya kelas-kelas ekonomi dalam Masyarakat [17] -Perubahan demografis [18] -Rendahnya pendapatan dan aset untuk memenuhi kebutuhan dasar [19] Pengurangan beban pengeluaran masyarakat -Kualitas sumber daya manusia dan penguasaan teknologi yang rendah [17][20] -Ratarata lama sekolah [20] -Upah Minimum Regional [20] -Kurangnya lapangan kerja, ketiadaan kesempatan [1] [18] Peningkatan pendapatan masyarakat -Kualitas angkatan kerja yang rendah, keterbatasan akses permodalan [1] [17] -Perubahan pasar tenaga kerja [18] -Terkucilkan, akses yang terbatas, dan keterbatasan sumber daya alam [1] [17] Penurunan kantong-kantong kemiskinan -Adanya disparitas karena munculnya pemusatan perkembangan di perkotaan [17] -Ketimpangan sosial [20] -Rentan Terhadap Guncangan Ekonomi Stabilisasi Harga -Inflasi akan meningkatkan biaya produksi yang menimbulkan kenaikan harga barang dan jasa, menyebabkan daya beli masyarakat menurun [10] [18] -Tingkat inflasi [20] dalam bentuk matriks. Hubungan antar aktor dalam matriks digambarkan dengan nilai 1 dan 0, angka 1 melambangkan adanya relasi sedangkan angka 0 melambangkan tidak adanya relasi di dalam jaringan.…”