{"id":"https://openalex.org/W4386013651","doi":"https://doi.org/10.1145/3611450.3611466","title":"Evaluating and Alleviating Multidimensional Poverty among Older People in Rural China Based on Big Data","display_name":"Evaluating and Alleviating Multidimensional Poverty among Older People in Rural China Based on Big Data","publication_year":2023,"publication_date":"2023-07-21","ids":{"openalex":"https://openalex.org/W4386013651","doi":"https://doi.org/10.1145/3611450.3611466"},"language":"en","primary_location":{"id":"doi:10.1145/3611450.3611466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611450.3611466","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611450.3611466","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3611450.3611466","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103147029","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-0244-437X"},"institutions":[{"id":"https://openalex.org/I4210106134","display_name":"Guangzhou Vocational College of Science and Technology","ror":"https://ror.org/01dan7p53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["School of Management, Guangzhou College of Technology and Business, China"],"raw_orcid":"https://orcid.org/0000-0003-0244-437X","affiliations":[{"raw_affiliation_string":"School of Management, Guangzhou College of Technology and Business, China","institution_ids":["https://openalex.org/I4210106134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102904898","display_name":"Wen Fan","orcid":"https://orcid.org/0000-0003-4597-7723"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Fan","raw_affiliation_strings":["School of Public Administration, Nanjing University of Finance and Economics, China"],"raw_orcid":"https://orcid.org/0000-0003-4597-7723","affiliations":[{"raw_affiliation_string":"School of Public Administration, Nanjing University of Finance and Economics, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102750506","display_name":"Siyu Pan","orcid":"https://orcid.org/0009-0008-4955-2320"},"institutions":[{"id":"https://openalex.org/I4210106134","display_name":"Guangzhou Vocational College of Science and Technology","ror":"https://ror.org/01dan7p53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Pan","raw_affiliation_strings":["School of Management, Guangzhou College of Technology and Business, China"],"raw_orcid":"https://orcid.org/0009-0008-4955-2320","affiliations":[{"raw_affiliation_string":"School of Management, Guangzhou College of Technology and Business, China","institution_ids":["https://openalex.org/I4210106134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15783149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11556","display_name":"Poverty, Education, and Child Welfare","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.8970478773117065},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.664564311504364},{"id":"https://openalex.org/keywords/loneliness","display_name":"Loneliness","score":0.6021456718444824},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4910755157470703},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4733310341835022},{"id":"https://openalex.org/keywords/rural-area","display_name":"Rural area","score":0.4701649844646454},{"id":"https://openalex.org/keywords/socioeconomics","display_name":"Socioeconomics","score":0.4641813635826111},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4172297418117523},{"id":"https://openalex.org/keywords/development-economics","display_name":"Development economics","score":0.35902607440948486},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.35587412118911743},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.2881651818752289},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2673397958278656},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.23743709921836853},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.21748939156532288},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18773385882377625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1038159430027008}],"concepts":[{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.8970478773117065},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.664564311504364},{"id":"https://openalex.org/C2779998236","wikidata":"https://www.wikidata.org/wiki/Q223270","display_name":"Loneliness","level":2,"score":0.6021456718444824},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4910755157470703},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4733310341835022},{"id":"https://openalex.org/C129047720","wikidata":"https://www.wikidata.org/wiki/Q175185","display_name":"Rural area","level":2,"score":0.4701649844646454},{"id":"https://openalex.org/C45355965","wikidata":"https://www.wikidata.org/wiki/Q1643441","display_name":"Socioeconomics","level":1,"score":0.4641813635826111},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4172297418117523},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.35902607440948486},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.35587412118911743},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.2881651818752289},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2673397958278656},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.23743709921836853},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.21748939156532288},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18773385882377625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1038159430027008},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3611450.3611466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611450.3611466","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611450.3611466","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3611450.3611466","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611450.3611466","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611450.3611466","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307855","display_name":"World Bank Group","ror":"https://ror.org/00ae7jd04"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386013651.pdf","grobid_xml":"https://content.openalex.org/works/W4386013651.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W633487266","https://openalex.org/W1512804669","https://openalex.org/W1582570101","https://openalex.org/W1730080708","https://openalex.org/W1889307254","https://openalex.org/W1933048711","https://openalex.org/W1995539628","https://openalex.org/W2086392338","https://openalex.org/W2088480756","https://openalex.org/W2106211443","https://openalex.org/W2115037332","https://openalex.org/W2120150971","https://openalex.org/W2163701865","https://openalex.org/W2168217815","https://openalex.org/W2265200802","https://openalex.org/W2293061931","https://openalex.org/W2501832151","https://openalex.org/W2597483380","https://openalex.org/W2620928426","https://openalex.org/W2755896406","https://openalex.org/W2776824632","https://openalex.org/W2898436490","https://openalex.org/W2911581326","https://openalex.org/W2999978413","https://openalex.org/W3023788652","https://openalex.org/W3121689684","https://openalex.org/W3124062417"],"related_works":["https://openalex.org/W2146826310","https://openalex.org/W2116091144","https://openalex.org/W4230812784","https://openalex.org/W2036833122","https://openalex.org/W1883234320","https://openalex.org/W3124507921","https://openalex.org/W2466642357","https://openalex.org/W2363054974","https://openalex.org/W2152254235","https://openalex.org/W4385785607"],"abstract_inverted_index":{"China":[0],"has":[1],"made":[2],"great":[3],"progress":[4],"in":[5,8,73,87,91,111,122],"poverty":[6,42,60,71,96,100,112,115,140,143],"alleviation":[7,61],"past":[9],"40":[10],"years.":[11],"However,":[12],"older":[13,47],"Chinese":[14,45],"rural":[15,46],"residents,":[16],"who":[17],"have":[18],"been":[19],"identified":[20],"as":[21],"a":[22,88,106],"doubly":[23],"vulnerable":[24],"group,":[25],"still":[26],"experience":[27],"much":[28],"different":[29],"kinds":[30],"of":[31,76,93],"deprivations.":[32],"This":[33],"study":[34,137],"firstly":[35],"evaluated":[36],"the":[37,50,59,79,94,99,114,123,139,148,151],"multiple":[38],"deprivations":[39],"and":[40,52,98,127,142,150],"multidimensional":[41,70],"experienced":[43],"by":[44],"people":[48],"with":[49],"Alkire":[51],"Foster":[53],"(AF)":[54],"measure.":[55],"It":[56,66],"then":[57],"discusses":[58],"based":[62],"on":[63,133],"big":[64,134],"data.":[65],"finds":[67],"that":[68],"integrated":[69],"declined":[72],"four":[74],"components":[75],"deprivation":[77],"among":[78],"aged":[80],"population,":[81],"but":[82],"this":[83,136],"trend":[84],"was":[85,105],"limited":[86],"broad":[89],"sense":[90],"terms":[92],"mean":[95],"intensity":[97,116],"severity":[101],"index.":[102],"Although":[103],"there":[104],"6.2":[107],"percentage":[108,119],"point":[109],"decrease":[110],"incidence,":[113],"increased":[117],"0.7":[118],"points.":[120],"Deprivations":[121],"financial":[124],"insecurity,":[125],"health":[126],"loneliness":[128],"dimensions":[129],"also":[130],"increased.":[131],"Based":[132],"data,":[135],"gives":[138],"monitoring":[141],"reduction":[144],"path":[145],"based.":[146],"Also,":[147],"principles":[149],"data":[152],"collection":[153],"paths":[154],"will":[155],"be":[156],"discussed.":[157]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}