{"id":"https://openalex.org/W4407691873","doi":"https://doi.org/10.1109/dsit61374.2024.10881895","title":"Modeling China's Well-Being through Multivariate Analysis of CGSS Data (2010-2021)","display_name":"Modeling China's Well-Being through Multivariate Analysis of CGSS Data (2010-2021)","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4407691873","doi":"https://doi.org/10.1109/dsit61374.2024.10881895"},"language":"en","primary_location":{"id":"doi:10.1109/dsit61374.2024.10881895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhu Zhentao","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Zhentao","raw_affiliation_strings":["Nanjing Institute of Technology,School of Economics and Management,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Economics and Management,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035318923","display_name":"Ye Shan","orcid":"https://orcid.org/0000-0002-4441-7153"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Shan","raw_affiliation_strings":["Nanjing Institute of Technology,School of Economics and Management,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Economics and Management,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308023","display_name":"Yuan Zi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zi","raw_affiliation_strings":["Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Mingjin","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Mingjin","raw_affiliation_strings":["Nanjing Institute of Technology,School of Economics and Management,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Economics and Management,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054283594","display_name":"Zhang Ya-han","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yahan","raw_affiliation_strings":["Nanjing Institute of Technology,School of Economics and Management,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Economics and Management,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116309232","display_name":"Ge Linlin","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Linlin","raw_affiliation_strings":["Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116309233","display_name":"Xia Xinyang","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Xinyang","raw_affiliation_strings":["Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Electric Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2799736854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3199325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.5627999901771545,"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/T14051","display_name":"Regional Economic and Spatial Analysis","score":0.5627999901771545,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.5913957953453064},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5313487648963928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.484625905752182},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.45701342821121216},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3512710928916931},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304199278354645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18669137358665466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11099055409431458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08394354581832886}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5913957953453064},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5313487648963928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.484625905752182},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.45701342821121216},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3512710928916931},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304199278354645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18669137358665466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11099055409431458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08394354581832886},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit61374.2024.10881895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324885","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1574046972","https://openalex.org/W1990253788","https://openalex.org/W1991833410","https://openalex.org/W1999483254","https://openalex.org/W2004271510","https://openalex.org/W2029628916","https://openalex.org/W2055655677","https://openalex.org/W2074657137","https://openalex.org/W2090246763","https://openalex.org/W2134742852","https://openalex.org/W2153621036","https://openalex.org/W2156994525","https://openalex.org/W2343922150","https://openalex.org/W3092931527","https://openalex.org/W4236741213"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4243682621","https://openalex.org/W2036849593"],"abstract_inverted_index":{"This":[0],"study":[1],"examines":[2],"the":[3,32,64,74],"dynamics":[4],"of":[5,28,80],"national":[6,69],"well-being":[7,70],"in":[8,60,116],"China":[9,33],"from":[10,31],"2010":[11],"to":[12,58,98,109],"2021,":[13],"leveraging":[14],"multivariate":[15],"analysis,":[16],"including":[17],"Ordered":[18],"Logistic":[19],"Regression":[20],"(Ologit)":[21],"and":[22,66,85,91,120],"Ordinary":[23],"Least":[24],"Squares":[25],"(OLS)":[26],"models,":[27],"longitudinal":[29],"data":[30,47],"General":[34],"Social":[35],"Survey":[36],"(CGSS).":[37],"By":[38],"applying":[39],"multiple":[40],"imputation":[41],"via":[42],"chained":[43],"equations":[44],"(MICE),":[45],"missing":[46],"are":[48],"addressed,":[49],"ensuring":[50],"robust":[51],"statistical":[52],"inferences.":[53],"Results":[54],"indicate":[55],"that,":[56],"contrary":[57],"trends":[59],"developed":[61],"countries":[62],"like":[63],"U.S.":[65],"Germany,":[67],"China's":[68],"has":[71],"improved":[72],"during":[73],"decade":[75],"studied.":[76],"Specifically,":[77],"higher":[78],"perceptions":[79],"social":[81,121],"equity,":[82],"better":[83],"physical":[84],"mental":[86],"health,":[87,117],"stable":[88],"family":[89],"conditions,":[90],"enhanced":[92],"environmental":[93,118],"protection":[94],"efforts":[95],"significantly":[96],"contribute":[97],"increased":[99],"well-being.":[100],"These":[101],"findings":[102],"provide":[103],"valuable":[104],"insights":[105],"for":[106],"policymakers":[107],"aiming":[108],"improve":[110],"societal":[111],"welfare":[112],"through":[113],"targeted":[114],"interventions":[115],"policy,":[119],"equity.":[122]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
