Claim Missing Document
Check
Articles

Found 3 Documents
Search

Pengukuran Sektor Ekonomi Unggulan Kabupaten Sambas: Tipologi Klassen Dan Analisis Shift-Share Alabshar, Nufi; Liantin, Nugra
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 2 (2024): Vol. 8 No. 2, November 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i2.492

Abstract

Abstract. Economic growth refers to the development of an area's economy. The Sambas district, located in Kalimantan Barat Province and home to two cross-border posts, requires careful planning for its development programs in this strategically important area. This study aims to identify the economic sectors with the highest priority in Sambas Regency, which can be the focus of local economic development. Using Gross Regional Domestic Product data and quadrant analysis of Klassen typology and shift-share analysis, the results indicate that the Agriculture, Forestry, and Fishing sector is a priority sector for development without neglecting other sectors. This study significantly enhances the understanding of regional economic sectors and contributes meaningfully to the development of the local economy, particularly in Sambas Regency. Keyword: dynamic location quotient, economic growth, klassen typology, sambas regency, shift-share analysis.
Disability and Extreme Poverty in Indonesia: Analysis of National Socio-Economic Survey Data in 2020 Alabshar, Nufi; Pujiwati, Lina Agustina; Munawaroh, Titik; Fatoni, Zainal
Jurnal Kawistara Vol 14, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.83519

Abstract

Extreme poverty has become a global issue,and several studies indicate its relationship with disability. So far, there has been limited studies related to extreme poverty in Indonesia. Moreover, spesific segments, such as extreme poverty in persons with disabilities, are increasingly challenging to find. This study examines the effect of disability and other control variables on extreme poverty in Indonesia. The data is derived from the 2020 National Socio-Economic Survey (Susenas), which surveyed 1,258,328 individuals. The data was processed using STATA 17 software. The method used in this study is logistic regression by observing disability as the primary independent variable and other socio-demographic variables as control variables. Our analysis show that disability has a positive and significant relationship with extreme poverty. Control variables such as residence area, age group, sex, education, number of household members, marital status, and employment sector also play a role in influencing extreme individual poverty. These findings are expected to be able to enrich literature relatedto disability and extreme poverty in Indonesia as well as to provide input for the government in efforts to eradicate extreme poverty by paying attention to vulnerable groups,especially persons with disabilities.
Disability and Extreme Poverty in Indonesia: Analysis of National Socio-Economic Survey Data in 2020 Alabshar, Nufi; Pujiwati, Lina Agustina; Munawaroh, Titik; Fatoni, Zainal
Jurnal Kawistara Vol 14, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.83519

Abstract

Extreme poverty has become a global issue,and several studies indicate its relationship with disability. So far, there has been limited studies related to extreme poverty in Indonesia. Moreover, spesific segments, such as extreme poverty in persons with disabilities, are increasingly challenging to find. This study examines the effect of disability and other control variables on extreme poverty in Indonesia. The data is derived from the 2020 National Socio-Economic Survey (Susenas), which surveyed 1,258,328 individuals. The data was processed using STATA 17 software. The method used in this study is logistic regression by observing disability as the primary independent variable and other socio-demographic variables as control variables. Our analysis show that disability has a positive and significant relationship with extreme poverty. Control variables such as residence area, age group, sex, education, number of household members, marital status, and employment sector also play a role in influencing extreme individual poverty. These findings are expected to be able to enrich literature relatedto disability and extreme poverty in Indonesia as well as to provide input for the government in efforts to eradicate extreme poverty by paying attention to vulnerable groups,especially persons with disabilities.