Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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Revista de Economia e Sociologia Rural |
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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 |
_version_ |
1752122558565580800 |