ANALISIS KETIMPANGAN PEMBANGUNAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN DI PROVINSI KALIMANTAN SELATAN (STUDI KASUS KOTA BANJARMASIN DAN KABUPATEN TANAH BUMBU)

Abstract

Abstract - This study aims to find out how the level of economic development inequality and the inequality of income distribution in Banjarmasin City and Tanah Bumbu Regency, and how the comparison of the economic development inequality and the inequality of income distribution in that two regions. This study uses secondary data from the period of 2013-2017. The data is obtained from BPS. The analysis of inequality level of economic development using Williamson index, and analyzing the inequality of income distribution using the index gini ratio. The comparison results of Williamson index and the gini ratio index during 2013-2017 found that each analysis tool had different results. So that, it can be explained that the inequality level of regional economic development in the Tanah Bumbu Regency area with an average of 0.171 occurred due to the economy which relies on natural resources (mining and excavation), the mobility of goods and services is not smooth (distribution of goods and migration). However, the level of inequality in income distribution is low with an average of 0.312. It is because the depreciation of people's work is not much different, so that the income distribution is more evenly distributed. The inequality of economic development in Banjarmasin city is low with an average of 0.021. It occurs because the Banjarmasin city is the center of economy activities in the Province of South Kalimantan (the provincial capital). Banjarmasin city has the better infrastructure availability than other regions. In contrary, the inequality level of income distribution is in high level with an average of 0.354. It occurs because of the differences in types of work and skills of people in Banjarmasin. In addition, it also occurs becauce Banjarmasin City has a small area so that there is an inequality in income distribution.   Keywords: Williamson Index, and Gini Ratio Index.