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Abstract
This research was conducted to (1) Analyze the influence of finance, unemployment, and poverty partially on income inequality from 2010 to 2017. (2) Analyze the effect of economic, unemployment, and poverty simultaneously on income inequality. (3) Analyzing the variables that are most dominant affecting income inequality. This research is quantitative. The data used in the study are secondary data obtained through the Central Statistics Agency from districts/cities in South Kalimantan. The data analysis technique used is a quantitative analysis using panel data regression analysis with the Fixed Effect Model. This study's results are based on panel data regression analysis, which states the economy has no significant effect, significant unemployment, and poverty significantly affect income inequality in 13 districts/cities in South Kalimantan.
Highlights
This study's results are based on panel data regression analysis, which states the economy has no significant effect, significant unemployment, and poverty significantly affect income inequality in 13 districts/cities in South Kalimantan
Kepada peneliti selanjutnya di harapkan untuk dapat mengetahui penyebab ketimpangan dari variabel lainnya seperti Inflasi, Pertumbuhan Penduduk, dan Indeks Pembangunan Manusia
Summary
Gini Ratio 2013 2014 0,27 0,24 0,33 0,35 0,33 0,35 0,33 0,34 0,28 0,26 0,26 0,27 0,30 0,28 0,26 0,27 0,33 0,30 0,33 0,29 0,30 0,25. Dengan adanya peningkatan Gini Ratio di Kabupaten/Kota Di Provinsi Kalimantan mengindikasikan terjadi peningkatan pula terhadap aktivitas ekonomi. Contohnya seperti lapangan pekerjaan ketika lapangan itu terbuka luas maka akan banyak tenaga kerja yang terserap, ketika tenaga kerja terserap maka akan mengurangi Ketimpangan karena masyarakat akan memperoleh pendapatan dari adanya lapangan pekerjaan tersebut
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