Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016

Detalhes bibliográficos
Autor(a) principal: Nugraha,Achmad Tjachja
Data de Publicação: 2022
Outros Autores: Prayitno,Gunawan, Nandhiko,Listio, Nasution,Ahmad Riswan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Economia e Sociologia Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206
Resumo: Abstract: This study aims to analyze how the influence of infrastructure availability, socioeconomic conditions, and the effect of location on poverty levels. The descriptive analysis is used to give a general description of poverty by using thematic charts and maps. The poverty map is analyzed by spatial autocorrelation of poverty levels by using a Moran Scatterplot and the Local Indicators of Spatial Association (LISA) Map. The results of the study indicate the existence of spatial linkages to poverty. The Increasing of other variables outside the model in neighboring regions will increase the level of poverty in a region. The infrastructures of road extension, clean water infrastructure, economic growth, quality of education, and health have a significant influence on the level of poverty, while the percentage of satisfactory sanitation did not demonstrate to affect the significant effect on poverty. The conclusion is that the level of poverty in the provinces of Central Java and Yogyakarta has an irregular distribution and a clustered spatial pattern.
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spelling Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016level of povertyspatial modelspatial regression analysisAbstract: This study aims to analyze how the influence of infrastructure availability, socioeconomic conditions, and the effect of location on poverty levels. The descriptive analysis is used to give a general description of poverty by using thematic charts and maps. The poverty map is analyzed by spatial autocorrelation of poverty levels by using a Moran Scatterplot and the Local Indicators of Spatial Association (LISA) Map. The results of the study indicate the existence of spatial linkages to poverty. The Increasing of other variables outside the model in neighboring regions will increase the level of poverty in a region. The infrastructures of road extension, clean water infrastructure, economic growth, quality of education, and health have a significant influence on the level of poverty, while the percentage of satisfactory sanitation did not demonstrate to affect the significant effect on poverty. The conclusion is that the level of poverty in the provinces of Central Java and Yogyakarta has an irregular distribution and a clustered spatial pattern.Sociedade Brasileira de Economia e Sociologia Rural2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206Revista de Economia e Sociologia Rural v.60 n.1 2022reponame:Revista de Economia e Sociologia Ruralinstname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)instacron:SBESR10.1590/1806-9479.2021.233206info:eu-repo/semantics/openAccessNugraha,Achmad TjachjaPrayitno,GunawanNandhiko,ListioNasution,Ahmad Riswaneng2021-06-11T00:00:00Zoai:scielo:S0103-20032022000100206Revistahttps://www.revistasober.org/ONGhttps://old.scielo.br/oai/scielo-oai.phpsober@sober.org.br||resr@revistasober.org1806-94790103-2003opendoar:2021-06-11T00:00Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)false
dc.title.none.fl_str_mv Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
title Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
spellingShingle Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
Nugraha,Achmad Tjachja
level of poverty
spatial model
spatial regression analysis
title_short Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
title_full Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
title_fullStr Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
title_full_unstemmed Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
title_sort Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
author Nugraha,Achmad Tjachja
author_facet Nugraha,Achmad Tjachja
Prayitno,Gunawan
Nandhiko,Listio
Nasution,Ahmad Riswan
author_role author
author2 Prayitno,Gunawan
Nandhiko,Listio
Nasution,Ahmad Riswan
author2_role author
author
author
dc.contributor.author.fl_str_mv Nugraha,Achmad Tjachja
Prayitno,Gunawan
Nandhiko,Listio
Nasution,Ahmad Riswan
dc.subject.por.fl_str_mv level of poverty
spatial model
spatial regression analysis
topic level of poverty
spatial model
spatial regression analysis
description Abstract: This study aims to analyze how the influence of infrastructure availability, socioeconomic conditions, and the effect of location on poverty levels. The descriptive analysis is used to give a general description of poverty by using thematic charts and maps. The poverty map is analyzed by spatial autocorrelation of poverty levels by using a Moran Scatterplot and the Local Indicators of Spatial Association (LISA) Map. The results of the study indicate the existence of spatial linkages to poverty. The Increasing of other variables outside the model in neighboring regions will increase the level of poverty in a region. The infrastructures of road extension, clean water infrastructure, economic growth, quality of education, and health have a significant influence on the level of poverty, while the percentage of satisfactory sanitation did not demonstrate to affect the significant effect on poverty. The conclusion is that the level of poverty in the provinces of Central Java and Yogyakarta has an irregular distribution and a clustered spatial pattern.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9479.2021.233206
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Economia e Sociologia Rural
publisher.none.fl_str_mv Sociedade Brasileira de Economia e Sociologia Rural
dc.source.none.fl_str_mv Revista de Economia e Sociologia Rural v.60 n.1 2022
reponame:Revista de Economia e Sociologia Rural
instname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
instacron:SBESR
instname_str Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
instacron_str SBESR
institution SBESR
reponame_str Revista de Economia e Sociologia Rural
collection Revista de Economia e Sociologia Rural
repository.name.fl_str_mv Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)
repository.mail.fl_str_mv sober@sober.org.br||resr@revistasober.org
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