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Identifying spatial correlation and factors influencing regional economic growth in Southern Sumatra

Jurnal Perspektif Pembiayaan dan Pembangunan Daerah · Vol. 9 No. 3 (2021) · hlm. 245–256

DOI
10.22437/ppd.v9i3.13422
ISSN
2355-8520, 2338-4603
Terbit
2021-08-31
Penerbit
Program Magister Ilmu Ekonomi Pascasarjana Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

This study analyzes the spatial autocorrelation of economic growth and labor and the factors that influence economic growth between districts/cities in the Southern Sumatra region. The data used is secondary data sourced from the Bureau of Central Statistics. The method used is a quantitative approach by applying the Moran Index, LISA, and multiple regression models. This study shows that the spatial autocorrelation of economic growth did not occur in the Southern Sumatra region. Meanwhile, the spatial autocorrelation of labor occurs in this region so that it affects each other. This study’s finding that jointly the variables of potential market indicator, fixed capital investment, human capital, and labor force participation rate have a significant effect on GRDP. Likewise, partially the potential market indicators, capital fixed asset investment, human resources, and labor force participation rates have a positive and significant effect on GRDP.

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33 penulis · 68 tautan kepenulisan bersama · 14 lintas organisasi

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  • IPB University
  • Universitas Iqra Buru
  • Lampung University
  • Badan Pusat Statistik
  • Bank Indonesia
  • National Research and Innovation Agency
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Rita NurmalinaIPB University2
Bambang JuandaIPB University2
Pamuji Gesang RaharjoIPB University2
Adler Haymans ManurungIPB University2
Tubagus Nur Ahmad MaulanaIPB University2
Noer Azam AchsaniIPB University2
Hermanto SiregarIPB University2
Muhammad FirdausIPB University2
Sri Utami LestariIPB University2
Kepas Antoni Adrianus ManurungIPB University1
Idqan FahmiIPB University1
Eka Intan Kumala PutriIPB University1
Husen BahasoanUniversitas Iqra Buru1
Muhammad Mehran IqbalAfiliasi tidak diketahui1
Akhmad FauziIPB University1
Dedy YuliawanLampung University1
Muhamad Ferdian SaputraBadan Pusat Statistik1
Toni BakhtiarIPB University1
Ferry SyarifuddinBank Indonesia1
Dila VindayaniIPB University1
Alla AsmaraIPB University1
Faizal IrvansyahIPB University1
Mangara TambunanIPB University1
Yusman SyaukatIPB University1
Pantjar SimatupangAfiliasi tidak diketahui1
Sri MurtiyantiIPB University1
Widyastutik WidyastutikIPB University1
Adawiya TaufaniIPB University1
Komalawati KomalawatiNational Research and Innovation Agency1
Ratna Winandi AsmarantakaIPB University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/JES/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Identifying spatial correlation and factors influencing  regional economic growth in Southern Sumatra</dc:title>
	<dc:creator xml:lang="en">Dewi, Nengsi Puspita</dc:creator>
	<dc:creator xml:lang="en">Novianti, Tanti</dc:creator>
	<dc:creator xml:lang="en">Hakim, Dedi Budiman</dc:creator>
	<dc:subject xml:lang="en">Local Indicator</dc:subject>
	<dc:subject xml:lang="en">Morans’I index</dc:subject>
	<dc:subject xml:lang="en">Spatial Autocorrelation</dc:subject>
	<dc:subject xml:lang="en">Spatial Panel</dc:subject>
	<dc:description xml:lang="en">This study analyzes the spatial autocorrelation of economic growth and labor and the factors that influence economic growth between districts/cities in the Southern Sumatra region. The data used is secondary data sourced from the Bureau of Central Statistics. The method used is a quantitative approach by applying the Moran Index, LISA, and multiple regression models. This study shows that the spatial autocorrelation of economic growth did not occur in the Southern Sumatra region. Meanwhile, the spatial autocorrelation of labor occurs in this region so that it affects each other. This study’s finding that jointly the variables of potential market indicator, fixed capital investment, human capital, and labor force participation rate have a significant effect on GRDP. Likewise, partially the potential market indicators, capital fixed asset investment, human resources, and labor force participation rates have a positive and significant effect on GRDP.</dc:description>
	<dc:publisher xml:lang="en">Program Magister Ilmu Ekonomi  Pascasarjana Universitas Jambi</dc:publisher>
	<dc:date>2021-08-31</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/JES/article/view/13422</dc:identifier>
	<dc:identifier>10.22437/ppd.v9i3.13422</dc:identifier>
	<dc:source xml:lang="en">Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; Vol. 9 No. 3 (2021): Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; 245 - 256</dc:source>
	<dc:source>2355-8520</dc:source>
	<dc:source>2338-4603</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JES/article/view/13422/13337</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 Nengsi Puspita Dewi, Tanti Novianti, Dedi Budiman Hakim</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>