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Longitudinal census data from 2000–2020 and municipal socioeconomic records support three findings: Rust Belt aging and empty-nesting rise faster than national averages; urban rates persistently exceed rural, with peripheralized spatial clustering and higher solitary households in resource-depleted cities; outmigration and state-led urbanization erode family support capacities, with one-child policy legacies intensifying household atomization. Results reframe empty-nesting as a systemic institutional outcome.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/family-fractures-a-multilevel-analysis-of-institutional-drivers-behind-elderly-empty-nesting-in-chinas-rust-belt-abstract/427488/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/family-fractures-a-multilevel-analysis-of-institutional-drivers-behind-elderly-empty-nesting-in-chinas-rust-belt-abstract/427488.png","ImageObject",300,407,{"name":92,"@type":93},"Riley","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-14","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What data sources are used to analyze elderly empty-nesting in China’s Rust Belt?","Question",{"text":112,"@type":113},"The study uses longitudinal population census data from 2000–2020 and municipal socioeconomic records.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do the Rust Belt patterns differ from national averages?",{"text":117,"@type":113},"The Rust Belt shows a uniquely severe trajectory of aging and elderly empty-nesting compared with national averages, with solitary living growing faster than couple-only households.",{"name":119,"@type":110,"acceptedAnswer":120},"Which mechanisms are identified as hierarchical drivers of institutional failure?",{"text":121,"@type":113},"Mass outmigration and state-led urbanization policies structurally erode family support capacities, collapsing multigenerational cohabitation norms and intensifying household atomization.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427488,1790790794,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},1374391975076,"https://ap-avatar.wpscdn.com/avatar/14000253ca4ec9f6853?x-image-process=image/resize,m_fixed,w_180,h_180&k=1783305029341752051","834 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.2828  \nFAMILY FRACTURES: A MULTILEVEL ANALYSIS OF INSTITUTIONAL DRIVERS BEHIND ELDERLY  \nEMPTY-NESTING IN CHINA’S RUST BELT  \nXiaoxuan Liang, Gong Chen, and Bo Liang, Peking University, Beijing, Beijing, China (People’s Republic)  \nThis study employs a multilevel institutional analysis to investigate the structural disintegration of intergenerational support systems and the rising prevalence of elderly empty-nesting in China’s Rust Belt (Northeast provinces), utilizing longitudinal population census data (2000–2020) and municipal socioeconomic records. Three critical findings emerge: (1) Accelerated  \nFamily Fractures: The Rust Belt exhibits a uniquely severe trajectory of aging and empty-nesting compared to national averages. While couple-only households dominate elderly empty-nesting (reflecting weakened intergenerational cohabitation norms), the surge in solitary living arrangements—a 23% faster growth rate than couple-only cases—signals deepening familial fragmentation. (2) Spatial Inequality as Institutional Legacy: Urban empty-nesting rates persistently surpass rural levels, yet resource-depleted cities face disproportionately high rates of solitary elderly households. Geospatial clustering reveals a “peripheralization”pattern: border zones of Heilongjiang-Jilin and industrial hubs in Liaoning exhibit peak empty-nesting, mirroring the region’s post-industrial decline and youth exodus. (3) Hierarchical Drivers of Institutional Failure: Mass outmigration (demographic driver) and state-led urbanization policies (economic driver) structurally erode family support capacities. The collapse of multigenerational cohabitation norms, amplified by decades of one-child policy legacies, accelerates household atomization. Solitary living correlates strongly with localized industrial collapse (e.g., mining towns), whereas couple-only households are primarily shaped by cultural inertia and demographic constraints. These findings challenge conventional narratives of filial piety decline, instead framing empty-nesting as a systemic outcome of China’s Rust Belt’s institutional trilemma: depopulation pressures, fragmented welfare systems, and unaddressed cultural-institutional voids.","cbCait6B7Z5OX1J7","https://ap.wps.com/l/cbCait6B7Z5OX1J7","pdf",747452,"English","# Abstract\n## Institutional drivers of empty-nesting\n## Spatial inequality and clustering\n## Hierarchical mechanisms of institutional failure","[{\"question\":\"What data sources are used to analyze elderly empty-nesting in China’s Rust Belt?\",\"answer\":\"The study uses longitudinal population census data from 2000–2020 and municipal socioeconomic records.\"},{\"question\":\"How do the Rust Belt patterns differ from national averages?\",\"answer\":\"The Rust Belt shows a uniquely severe trajectory of aging and elderly empty-nesting compared with national averages, with solitary living growing faster than couple-only households.\"},{\"question\":\"Which mechanisms are identified as hierarchical drivers of institutional failure?\",\"answer\":\"Mass outmigration and state-led urbanization policies structurally erode family support capacities, collapsing multigenerational cohabitation norms and intensifying household atomization.\"}]","FAMILY FRACTURES: A MULTILEVEL ANALYSIS OF INSTITUTIONAL DRIVERS BEHIND ELDERLY EMPTY-NESTING IN CHINA’S RUST BELT - Abstract | PDF",1790644005]