Analysis of Income Disparity of Coastal and Non-Coastal Communities in Banten Province, Indonesia

Abstract

This study aims to analyze the large income disparity in coastal and non-coastal areas in Banten Province and to analyze whether the fisheries sub-sector has become the economic base in Banten Province in 2015 – 2019. January until May 2021. The method is carried out by survey method then analyzed quantitatively and presented descriptively. The data of this study were sourced from secondary data and primary data. Data were obtained from BPS Banten Province, BPS West Java Province, Marine and Fisheries Service Banten Province, Marine and Fisheries Service West Java Province and through questionnaires from coastal and non-coastal communities. Data analysis includes analysis of Williamson index, Gini coefficient and Location Quotient (LQ). based on the results of research conducted, it can be concluded that the income disparity in the coastal areas of Banten Province is greater than in the non-coastal areas. The Gini ratio analysis shows that the value of the Gini ratio has decreased from year to year, which means that income distribution is more evenly distributed until in 2019 it reaches 0. The fisheries sector in Banten Province is included in the non-base sector because it has a value of 0.5671. Production of catch commodities that get superior commodities: small pelagic fish group (mean LQ=1.81) and demersal fish group (mean LQ=0.84). The fisheries sector in Banten Province is included in the non-base sector because it has a value of 0.5671. Production of catch commodities that get superior commodities: small pelagic fish group (mean LQ=1.81) and demersal fish group (mean LQ=0.84). The fisheries sector in Banten Province is included in the non-base sector because it has a value of 0.5671. Production of catch commodities that get superior commodities: small pelagic fish group (mean LQ=1.81) and demersal fish group (mean LQ=0.84).