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THE IMPACT OF COVID-19 PANDEMIC ON POVERTY IN JAMBI PROVINCE

Journal of Business Studies and Management Review · Vol. 6 No. 1 (2023) · hlm. 90–95

DOI
10.22437/jbsmr.v6i1.19705
ISSN
2597-6265, 2597-369X
Terbit
2023-02-08
Penerbit
Management Department, Faculty of Economics and Business, Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

This study examined the impact of the COVID-19 pandemic on poverty in Jambi Province. The independent variables were the human development index, unemployment rate, population, GDRP, and Covid19. This paper used panel data from the Central Bureau of Statistics Republic of Indonesia, as the cross-section data are all regencies in Jambi Province for 2017 and 2020. The first step was an appropriate model selection and analyzed by F-test, t-test, and determinant coefficient. Results from the analysis show that the best model is the random effect. The F-test stated that all of the independent variables affect the poverty percentage simultaneously. Meanwhile, the t-test found that only the human development index variable has a significant effect.

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/jbsmr/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">THE  IMPACT OF COVID-19 PANDEMIC ON POVERTY IN JAMBI PROVINCE</dc:title>
	<dc:creator xml:lang="en">Herlina, Vivi</dc:creator>
	<dc:creator xml:lang="en">Sestriyenti, Enny  </dc:creator>
	<dc:subject xml:lang="en">Human Development Index</dc:subject>
	<dc:subject xml:lang="en">Population</dc:subject>
	<dc:subject xml:lang="en">Gross Domestic Regional Product</dc:subject>
	<dc:subject xml:lang="en">Poverty percentage</dc:subject>
	<dc:subject xml:lang="en">Unemployment rate</dc:subject>
	<dc:description xml:lang="en">This study examined the impact of the COVID-19 pandemic on poverty in Jambi Province. The independent variables were the human development index, unemployment rate, population, GDRP, and Covid19. This paper used panel data from the Central Bureau of Statistics Republic of Indonesia, as the cross-section data are all regencies in Jambi Province for 2017 and 2020. The first step was an appropriate model selection and analyzed by F-test, t-test, and determinant coefficient. Results from the analysis show that the best model is the random effect. The F-test stated that all of the independent variables affect the poverty percentage simultaneously. Meanwhile, the t-test found that only the human development index variable has a significant effect.

</dc:description>
	<dc:publisher xml:lang="en">Management Department, Faculty of Economics and Business, Universitas Jambi</dc:publisher>
	<dc:date>2023-02-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/jbsmr/article/view/19705</dc:identifier>
	<dc:identifier>10.22437/jbsmr.v6i1.19705</dc:identifier>
	<dc:source xml:lang="en">Journal of Business Studies and Management Review; Vol. 6 No. 1 (2022): JBSMR, Vol. 6 No.1, December 2022; 90-95</dc:source>
	<dc:source>2597-6265</dc:source>
	<dc:source>2597-369X</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/jbsmr/article/view/19705/14836</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Vivi Herlina, Enny  Sestriyenti</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>