Author
Listed:
- Yu Ren
(School of Management, Dalian Polytechnic University, Dalian 116034, China)
- Weihua Yang
(School of Management, Dalian Polytechnic University, Dalian 116034, China)
- Wan Li
(School of Management, Dalian Polytechnic University, Dalian 116034, China)
Abstract
Against the backdrop of global aging, whether the diverse content of elderly care policies can be systematically analyzed and interpreted through a unified theoretical framework remains an open question in gerontology. This study analyzes 2508 elderly care policy documents issued in China from 2000 to 2025 to assess the alignment degree between elderly care policies and the Integrated Theory of Social Gerontology, utilizing Latent Dirichlet Allocation (LDA) topic modeling and a text content alignment degree model constructed based on a normalized co-occurrence algorithm. The findings reveal that all 11 topics extracted from Chinese elderly care policies correspond to the six dimensions of the Integrated Theory of Social Gerontology, with an overall alignment coefficient of 0.689, indicating moderate alignment. This threshold is defined based on domain-specific benchmarks: alignment coefficients ≥0.75 are classified as ‘high alignment’, 0.5–0.74 as ‘moderate alignment’, and <0.5 as ‘low alignment’, consistent with quantitative standards for policy-theory alignment research in gerontology. Four dimensions (public support systems, individual physical/psychological health, economic security, family-cultural traditions) show high alignment, while two (social stratification, historical context) exhibit low alignment, reflecting significant policy coverage asymmetries. Methodologically, this study develops a replicable policy theory alignment model, filling gaps in integrated gerontology policy analytical tools. Empirically, it provides the first large-scale longitudinal analysis of Chinese elderly care policies, illuminating policy design’s theoretical foundations and gaps in structural/historical dimension coverage.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:4:p:2017-:d:1866140. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.