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Analysis of Factors Affecting Poverty in the North Sumatra Province

Economics Development Analysis Journal · Vol. 10 No. 2 (2021) · hlm. 174–183

DOI
10.15294/edaj.v10i2.44164
ISSN
2252-6560
Terbit
2021-06-05
Penerbit
Economics Development Department, Universitas Negeri Semarang, Indonesia
Bahasa
eng

Abstrak

North Sumatra is the province with the largest number of poor people in 2019 with the fifth highest poverty percentage on the island of Sumatra. This province has a good potential for accelerating economic growth and improving the quality of life if all levels of society are empowered with all their capabilities in carrying out productive business activities, and can access to socio-economic resources. This study aimed to determine and analyze the effect of the real GDP per capita variable, the open unemployment rate, and the average length of schooling simultaneously and partially on the poverty rate in 33 cities and regencies of North Sumatra Province in 2017-2019. It used secondary data using the Eviews program, while analysis technique used was panel data regression. Based on the research results, it was found that the real GDP per capita, the open unemployment rate, and the average length of schooling simultaneously had a significant effect on the poverty level. Per capita real GRDP and average length of schooling partially had a negative and significant effect on poverty rate. Meanwhile, the open unemployment rate had no significant effect on poverty. The variable that has the most dominant influence on the level of poverty was real GDP per capita.

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  • Sunan Gunung Djati State Islamic University Bandung
  • Universitas Halu Oleo
  • Universitas Islam Negeri Sultan Maulana Hasanuddin Banten
  • Universitas Sumatera Utara
  • Hasanuddin University
  • Muhammadiyah University of Surakarta
  • State University of Semarang
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Samsul Alam FykaUniversitas Halu Oleo2
Muhammad Aswar LimiUniversitas Halu Oleo2
Herman HermanSunan Gunung Djati State Islamic University Bandung2
Muhammad SyafiiAfiliasi tidak diketahui2
Bahtiar BahtiarUniversitas Halu Oleo1
Oheo Kaimuddin HarisUniversitas Halu Oleo1
Muhammad ArifMuhammadiyah University of Surakarta1
Ahmad Albar TanjungUniversitas Sumatera Utara1
Ramli RamliUniversitas Sumatera Utara1
Jamaluddin JamaluddinSekolah Tinggi Teknologi Migas1
Khoirul AnwarState University of Semarang1
Ahmad SanusiUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Yusuf SomawinataUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Aep KusnawanSunan Gunung Djati State Islamic University Bandung1
Encep DulwahabSunan Gunung Djati State Islamic University Bandung1
Dede LukmanSunan Gunung Djati State Islamic University Bandung1
Yuyun YuningsihSunan Gunung Djati State Islamic University Bandung1
Nisha Azzahra SetiovaniSunan Gunung Djati State Islamic University Bandung1
Nurhayati NurhayatiUniversitas Halu Oleo1
Asep Iwan SetiawanSunan Gunung Djati State Islamic University Bandung1
Ratna KamilaSunan Gunung Djati State Islamic University Bandung1
Ahmad ZainiUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Ida MursidahUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Sholahuddin Al AyubiHasanuddin University1
Entol Zaenal MuttaqinHasanuddin University1
Nita AnggraeniHasanuddin University1
Ade Fakih KurniawanUniversitas Islam Negeri Sultan Maulana Hasanuddin Banten1
Mukhsin AchmadIslamic University of Indonesia1
Fahmi Rizki FahrojiAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edaj/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Analysis of Factors Affecting Poverty in the North Sumatra Province</dc:title>
	<dc:creator>Rahman, Arif</dc:creator>
	<dc:creator>Syafii, M</dc:creator>
	<dc:creator>Hakim, Sukma Hayati</dc:creator>
	<dc:description xml:lang="en-US">North Sumatra is the province with the largest number of poor people in 2019 with the fifth highest poverty percentage on the island of Sumatra. This province has a good potential for accelerating economic growth and improving the quality of life if all levels of society are empowered with all their capabilities in carrying out productive business activities, and can access to socio-economic resources. This study aimed to determine and analyze the effect of the real GDP per capita variable, the open unemployment rate, and the average length of schooling simultaneously and partially on the poverty rate in 33 cities and regencies of North Sumatra Province in 2017-2019. It used secondary data using the Eviews program, while analysis technique used was panel data regression. Based on the research results, it was found that the real GDP per capita, the open unemployment rate, and the average length of schooling simultaneously had a significant effect on the poverty level. Per capita real GRDP and average length of schooling partially had a negative and significant effect on poverty rate. Meanwhile, the open unemployment rate had no significant effect on poverty. The variable that has the most dominant influence on the level of poverty was real GDP per capita.</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2021-06-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edaj/article/view/44164</dc:identifier>
	<dc:identifier>10.15294/edaj.v10i2.44164</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 10 No 2 (2021): Economics Development Analysis Journal; 174-183</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/44164/19040</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Economics Development Analysis Journal</dc:rights>
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