Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016
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 s...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Economia e Sociologia Rural
2021-06-01
|
| Series: | Revista de Economia e Sociologia Rural |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206&tlng=en |
| _version_ | 1798021797093834752 |
|---|---|
| author | Achmad Tjachja Nugraha Gunawan Prayitno Listio Nandhiko Ahmad Riswan Nasution |
| author_facet | Achmad Tjachja Nugraha Gunawan Prayitno Listio Nandhiko Ahmad Riswan Nasution |
| author_sort | Achmad Tjachja Nugraha |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T17:19:19Z |
| format | Article |
| id | doaj.art-af4225375d684dafa06cbb9814ffe768 |
| institution | Directory Open Access Journal |
| issn | 1806-9479 |
| language | English |
| last_indexed | 2024-04-11T17:19:19Z |
| publishDate | 2021-06-01 |
| publisher | Sociedade Brasileira de Economia e Sociologia Rural |
| record_format | Article |
| series | Revista de Economia e Sociologia Rural |
| spelling | doaj.art-af4225375d684dafa06cbb9814ffe7682022-12-22T04:12:32ZengSociedade Brasileira de Economia e Sociologia RuralRevista de Economia e Sociologia Rural1806-94792021-06-0160110.1590/1806-9479.2021.233206Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016Achmad Tjachja Nugrahahttps://orcid.org/0000-0001-9184-7773Gunawan Prayitnohttps://orcid.org/0000-0003-4534-9524Listio Nandhikohttps://orcid.org/0000-0002-0827-5418Ahmad Riswan Nasutionhttps://orcid.org/0000-0002-8028-7683Abstract: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206&tlng=enlevel of povertyspatial modelspatial regression analysis |
| spellingShingle | Achmad Tjachja Nugraha Gunawan Prayitno Listio Nandhiko Ahmad Riswan Nasution Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016 Revista de Economia e Sociologia Rural level of poverty spatial model spatial regression analysis |
| title | 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_short | 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 |
| topic | level of poverty spatial model spatial regression analysis |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100206&tlng=en |
| work_keys_str_mv | AT achmadtjachjanugraha socioeconomicconditionsonpovertylevelsacasestudycentraljavaprovinceandyogyakartain2016 AT gunawanprayitno socioeconomicconditionsonpovertylevelsacasestudycentraljavaprovinceandyogyakartain2016 AT listionandhiko socioeconomicconditionsonpovertylevelsacasestudycentraljavaprovinceandyogyakartain2016 AT ahmadriswannasution socioeconomicconditionsonpovertylevelsacasestudycentraljavaprovinceandyogyakartain2016 |