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Analysis of Factors Affecting Poverty in the North Sumatra Province

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

DOI
10.15294/edaj.v10i2.44164
ISSN
2252-6560
Published
2021-06-05
Publisher
Economics Development Department, Universitas Negeri Semarang, Indonesia
Language
eng

Abstract

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.

Collaboration network of the authors

40 authors · 81 co-authorship links · 6 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Universitas Negeri Surabaya
  • Universitas Ahmad Dahlan
  • Universitas Sulawesi Tenggara
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
HERMAN HERMANUniversitas Ahmad Dahlan2
Yuliani YulianiUniversitas Negeri Surabaya2
Muhammad SyafiiAffiliation unknown2
Edi WinarkoUniversitas Gadjah Mada1
Khabis MustofaAffiliation unknown1
Hamdi MayuluAffiliation unknown1
Roosena YusufAffiliation unknown1
Ramli RamliUniversitas Sulawesi Tenggara1
Muhammad ArifUniversitas Halu Oleo1
Ahmad Albar TanjungAffiliation unknown1
Suryanti SuryantiUniversitas Negeri Surabaya1
Max Rudolf MuskananfolaAffiliation unknown1
Rainuy Saninzita AfwaAffiliation unknown1
Aninditia SabdaningsihAffiliation unknown1
Roas IrsyadaAffiliation unknown1
Yoyo YoyoAffiliation unknown1
Mohamad HussinAffiliation unknown1
Abdul Razif ZainiAffiliation unknown1
Sutipyo RAffiliation unknown1
Ahmad ZainiAffiliation unknown1
Hajani HajaniAffiliation unknown1
Rendi HaerudinAffiliation unknown1
Ahmad Jamaludin JambunandaAffiliation unknown1
Jamaluddin JamaluddinAffiliation unknown1
Khoirul AnwarAffiliation unknown1
Ahmad SanusiAffiliation unknown1
Yusuf SomawinataAffiliation unknown1
Muhammad RaisAffiliation unknown1
Mansari MansariAffiliation unknown1
Elidar SariAffiliation unknown1
Irwansyah IrwansyahAffiliation unknown1
Aep kusnawanAffiliation unknown1
Encep DulwahabAffiliation unknown1
Dede LukmanAffiliation unknown1
Abdul MujibAffiliation unknown1
Sugandi MiharjaAffiliation unknown1
Sintani NahariniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edaj/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (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>
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	<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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