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ANALISIS DINAMIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN DI PROVINSI SULAWESI SELATAN: PENDEKATAN ERROR CORRECTION MODEL (ECM) Caesar Muslim; Muadsim, Ikrar; Saenong, Zainuddin
Journal Economics Technology And Entrepreneur Vol 4 No 03 (2025): ECOTECHNOPRENEUR : JOURNAL ECONOMICS, TECHNOLOGY AND ENTREPRENEUR
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/ecotechnopreneur.v4i03.1754

Abstract

This study analyzes factors influencing poverty in South Sulawesi Province, focusing on the roles of the Human Development Index (HDI), investment, and the Labor Force Participation Rate (LFPR). A quantitative approach is applied using time-series data on the number of poor residents, HDI, domestic investment, and LFPR over a defined observation period. The analysis employs the Error Correction Model (ECM) to capture both short- and long-term relationships among the variables. The results reveal that, in the long run, HDI has a negative and significant effect on poverty, indicating that improving human development quality sustainably reduces the poor population. In contrast, investment and LFPR show no significant long-term impact on poverty reduction. Likewise, HDI, investment, and LFPR are not significant in the short run. These findings highlight the central role of human development policies as a primary strategy for poverty alleviation in South Sulawesi while underscoring the need to optimize investment and labor force contributions.
IDENTIFIKASI SEKTOR EKONOMI UNGGULAN DI KABUPATEN KOLAKA TIMUR Muslim, Caesar; Saenong, Zainuddin; Hastuti, Hastuti; Muadsim, Ikrar
Jurnal Edukasi Ekonomi Vol 8, No 1 (2024): Februari 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jee.v8i1.76972

Abstract

The purpose of this study was to identify and analyze the leading economic sectors in East Kolaka Regency, Southeast Sulawesi Province. This research uses secondary data obtained from the Central Bureau of Statistics (BPS) of East Kolaka Regency with a time span of 2018 to 2022. The data was analyzed using Location Quotient (LQ) analysis and Klassen typology. The results showed that the Basic Sector consists of four categories: (1) Agriculture, Forestry, and Fisheries; (2) Wholesale and Retail Trade, Rep. Cars and Motorcycles; (3) Adm. Government, Defense, and Compulsory Social Security; and (4) Other Services. In addition, the Klassen Typology Analysis identifies certain economic sectors as advanced. (1) Agriculture, Forestry, and Fisheries Sector; (2) Government Administration, Defense, and Compulsory Social Security; and (3) Other Services.