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1000 Titel
  • Priorities and Instruments of Local Elderly Care Policies in China: Text Mining and Comparative Analysis
1000 Autor/in
  1. Li, Xiuqi |
  2. Yang, Aoyi |
  3. Yan, Han |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-23
1000 Erschienen in
1000 Quellenangabe
  • 9
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-25
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2021.647670 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342765/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • Health care for the elderly is one of the key issues in the field of public health. In the context of global aging, the government's policy framework for elderly care affects the development of local elderly care. The priorities and instruments of the elderly care policy are important windows for understanding the local development planning system. This paper uses a quantitative text analysis method based on text mining to analyze 3,618 provincial policies in China. Considering the pilot demonstration projects for elderly care selected by the Chinese government in recent years, this paper finds that local elderly care policies have a three-phase evolution, and the priorities in each phase are solving the legacy of transition, expanding private sector participation, and realizing the well-being of the elderly. Moreover, mature regions use more environmental policy instruments, and the most effective are financial services, regulatory systems, and strategic guidance. For immature regions, it is necessary to use more core instruments on the premise of using basic instruments so that public policies can serve local development and realize the well-being of the elderly.
1000 Sacherschließung
lokal Aged [MeSH]
lokal Humans [MeSH]
lokal Policy Making [MeSH]
lokal elderly care
lokal Government [MeSH]
lokal Public Health
lokal policy priority
lokal text mining
lokal Public Policy [MeSH]
lokal policy instrument
lokal Data Mining [MeSH]
lokal public health policy
lokal China [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGksIFhpdXFp|https://frl.publisso.de/adhoc/uri/WWFuZywgQW95aQ==|https://frl.publisso.de/adhoc/uri/WWFuLCBIYW4=
1000 Hinweis
  • DeepGreen-ID: 352751da6c3b4a6aa8d59b8fbb930baf ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2024-04-11T14:29:12.241+0200
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1000 Zuletzt bearbeitet 2024-05-07T16:36:23.914+0200
1000 Objekt bearb. Tue May 07 16:36:23 CEST 2024
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