Analisis Potensi Sektor Unggulan dan Pemetaan Kemiskinan Masyarakat di Wilayah Maminasata Sulawesi Selatan

Citra Ayni Kamaruddin(1*), Syamsu Alam(2),

(1) Public Administration Department, Universitas Negeri Makassar
(2) 
(*) Corresponding Author




DOI: https://doi.org/10.26858/ja.v5i2.7886

Abstract


The purpose of this study is to map sectoral superior potential and changes in regional poverty levels in the Mamminasata region. The method used in this study is qualitative descriptive, using quantitative analysis tools, leading sector analysis tools such as Location Quotient (LQ), Growth Ratio Model (MRP), Overlay Analysis, and Klassen Typology. The results of the study show that there is still a high level of disparity in leading sectors in the Mamminasata region. The results of the analysis show that Makassar City has 12 leading sectors, Kab. Gowa, 7 leading sectors, Maros District 4 leading sector, and Takalar District 3 superior sector. While the results of the Klassen Typology analysis show that only Makassar City consistently shows 12 superior sectors in quadrant I (advanced and fast-growing sectors). While other regencies are only 3 sectors which are in quadrant I, other economic sectors are growing but depressed, there are also potential ones. In fact, Maros Regency and District. Takalar has 11 sectors that are still lagging behind. Based on the poverty mapping of districts / cities in the Mamminasata area, it shows that Makassar City and District. Gowa has an average number of poor people lower than South Sulawesi Province. Takalar Regency tends to be the same as South Sulawesi province, and there are paradoxical symptoms between GDP and poverty. Whereas Kab. Maros is above the poverty average of Prov. South Sulawesi. In aggregate poverty in the Mamminasata area declined during the study period. Makassar City, Kab. Gowa, Kab. Maros, even though the rate of growth declined, the number of poor people also declined. Whereas Takalar Regency has increased GDP but its poverty has also increased.

Keywords


Leading Sector, Mapping Poverty, Poverty

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