{"id":"https://openalex.org/W4409429388","doi":"https://doi.org/10.31603/biseb.111","title":"Spatial regression of poverty in East Java Province with distance weighting matrix","display_name":"Spatial regression of poverty in East Java Province with distance weighting matrix","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4409429388","doi":"https://doi.org/10.31603/biseb.111"},"language":"en","primary_location":{"id":"doi:10.31603/biseb.111","doi":"https://doi.org/10.31603/biseb.111","is_oa":true,"landing_page_url":"https://doi.org/10.31603/biseb.111","pdf_url":"https://unimma.press/conference/index.php/biseb/article/download/111/101","source":{"id":"https://openalex.org/S5407049930","display_name":"BIS Economics and Business","issn_l":"3089-6991","issn":["3089-6991"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315053","host_organization_name":"Muhammadiyah University of Magelang","host_organization_lineage":["https://openalex.org/P4310315053"],"host_organization_lineage_names":["Muhammadiyah University of Magelang"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIS Economics and Business","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://unimma.press/conference/index.php/biseb/article/download/111/101","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"S Yulianto","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4392021140","display_name":"Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang","ror":"https://ror.org/04cx0dm67","country_code":null,"type":"education","lineage":["https://openalex.org/I4392021140"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"S Yulianto","raw_affiliation_strings":["Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia","institution_ids":["https://openalex.org/I4392021140"]}]},{"author_position":"middle","author":{"id":null,"display_name":"M M Pangestu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4392021140","display_name":"Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang","ror":"https://ror.org/04cx0dm67","country_code":null,"type":"education","lineage":["https://openalex.org/I4392021140"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"M M Pangestu","raw_affiliation_strings":["Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia","institution_ids":["https://openalex.org/I4392021140"]}]},{"author_position":"last","author":{"id":null,"display_name":"A N Ambarwati","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4392021140","display_name":"Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang","ror":"https://ror.org/04cx0dm67","country_code":null,"type":"education","lineage":["https://openalex.org/I4392021140"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"A N Ambarwati","raw_affiliation_strings":["Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang, Semarang, Indonesia","institution_ids":["https://openalex.org/I4392021140"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4392021140"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31339326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"V124011","last_page":"V124011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12446","display_name":"Economic Growth and Fiscal Policies","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/poverty","display_name":"poverty","score":0.9700000286102295},{"id":"https://openalex.org/keywords/spatial-regression","display_name":"spatial regression","score":0.8629999756813049},{"id":"https://openalex.org/keywords/spatial-error-model","display_name":"spatial error model","score":0.8980000019073486},{"id":"https://openalex.org/keywords/euclidean-distance-weighting","display_name":"Euclidean distance weighting","score":0.8230000138282776},{"id":"https://openalex.org/keywords/east-java","display_name":"East Java","score":0.703000009059906},{"id":"https://openalex.org/keywords/years-of-schooling","display_name":"years of schooling","score":0.703000009059906},{"id":"https://openalex.org/keywords/unemployment-rate","display_name":"unemployment rate","score":0.8479999899864197},{"id":"https://openalex.org/keywords/minimum-wage","display_name":"minimum wage","score":0.9649999737739563},{"id":"https://openalex.org/keywords/population","display_name":"population","score":0.3799999952316284},{"id":"https://openalex.org/keywords/urban-poverty","display_name":"urban poverty","score":0.5699999928474426},{"id":"https://openalex.org/keywords/spillover-effects","display_name":"spillover effects","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.6949091553688049},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6301527619361877},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.5968003869056702},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5543535947799683},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4387657046318054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26973044872283936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18936115503311157},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1337927281856537},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.13001486659049988},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.31603/biseb.111","doi":"https://doi.org/10.31603/biseb.111","is_oa":true,"landing_page_url":"https://doi.org/10.31603/biseb.111","pdf_url":"https://unimma.press/conference/index.php/biseb/article/download/111/101","source":{"id":"https://openalex.org/S5407049930","display_name":"BIS Economics and Business","issn_l":"3089-6991","issn":["3089-6991"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315053","host_organization_name":"Muhammadiyah University of Magelang","host_organization_lineage":["https://openalex.org/P4310315053"],"host_organization_lineage_names":["Muhammadiyah University of Magelang"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIS Economics and Business","raw_type":"journal-article"},{"id":"pmh:oai:ojs2.unimma.press:article/111","doi":null,"is_oa":true,"landing_page_url":"https://unimma.press/conference/index.php/biseb/article/view/111","pdf_url":null,"source":{"id":"https://openalex.org/S5407049930","display_name":"BIS Economics and Business","issn_l":"3089-6991","issn":["3089-6991"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315053","host_organization_name":"Muhammadiyah University of Magelang","host_organization_lineage":["https://openalex.org/P4310315053"],"host_organization_lineage_names":["Muhammadiyah University of Magelang"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3089-6991","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.31603/biseb.111","doi":"https://doi.org/10.31603/biseb.111","is_oa":true,"landing_page_url":"https://doi.org/10.31603/biseb.111","pdf_url":"https://unimma.press/conference/index.php/biseb/article/download/111/101","source":{"id":"https://openalex.org/S5407049930","display_name":"BIS Economics and Business","issn_l":"3089-6991","issn":["3089-6991"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315053","host_organization_name":"Muhammadiyah University of Magelang","host_organization_lineage":["https://openalex.org/P4310315053"],"host_organization_lineage_names":["Muhammadiyah University of Magelang"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIS Economics and Business","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8928999900817871,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"},{"score":0.7578999996185303,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409429388.pdf","grobid_xml":"https://content.openalex.org/works/W4409429388.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213"],"abstract_inverted_index":{"Poverty":[0,75],"has":[1],"emerged":[2],"as":[3,11],"a":[4,16,35,77],"pressing":[5],"issue":[6],"in":[7,43,45,54,63,76,83,88,122,175],"developing":[8],"nations,":[9],"such":[10],"Indonesia.":[12,64],"It":[13],"refers":[14],"to":[15,22,60],"state":[17],"where":[18],"individuals":[19,41],"are":[20,208],"unable":[21],"meet":[23],"their":[24],"fundamental":[25],"necessities.":[26],"Between":[27],"September":[28],"2020":[29],"and":[30,149,202,214],"March":[31],"2021,":[32],"there":[33],"was":[34,50],"notable":[36],"rise":[37],"of":[38,126,136,211],"20.09":[39],"thousand":[40],"living":[42],"poverty":[44,66,82,89,120,207],"urban":[46],"regions.":[47],"This":[48],"increase":[49],"the":[51,84,115,119,123,158,165,189,197,203],"most":[52],"significant":[53],"East":[55],"Java":[56,127],"Province":[57,128],"when":[58],"compared":[59],"other":[61],"provinces":[62],"Analyze":[65],"cases":[67],"using":[68,196],"spatial":[69,93,103,108,179],"analysis":[70],"with":[71,101,130],"distance":[72,166],"weighting":[73,154,167],"matrix.":[74],"region":[78,125],"is":[79,110,118,157,188],"influenced":[80],"by":[81],"surrounding":[85],"areas,":[86],"resulting":[87],"data":[90,100],"that":[91,205],"includes":[92],"effects":[94,104],"or":[95,105],"regional":[96,106],"aspects.":[97],"To":[98],"analyze":[99],"these":[102],"aspects":[107],"regression":[109,180],"employed.":[111],"In":[112],"this":[113,176],"research,":[114],"variable":[116],"used":[117,174,187],"level":[121],"Eastern":[124],"(Y),":[129],"four":[131],"X":[132],"variables,":[133],"average":[134,209],"years":[135,210],"schooling":[137,212],"(X1),":[138],"minimum":[139],"wage":[140],"per":[141],"regency":[142],"city":[143],"(X2),":[144],"open":[145,215],"unemployment":[146,216],"rate":[147,217],"(X3),":[148],"total":[150],"population":[151],"(X4).":[152],"The":[153,172,182],"matrix":[155,168],"utilized":[156],"Euclidean":[159],"Distance":[160],"Weighting":[161],"Matrix,":[162],"which":[163],"calculated":[164],"between":[169],"different":[170],"areas.":[171],"method":[173],"study":[177],"uses":[178],"model.":[181],"best":[183],"Spatial":[184,190,198],"Regression":[185],"Model":[186,192,200],"Error":[191,199],"(SEM).":[193],"Modeling":[194],"results":[195],"(SEM)":[201],"factors":[204],"influence":[206],"(X1)":[213],"(X3).":[218]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}
