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The hybridization of policy learning in multilevel regimes

A case study of the long-term care insurance in China

Dados Bibliográficos

ID12911145
AutoresYihuan Wang (0000-0002-8425-9145, Renmin University of China), Liang Ma (0000-0002-3013-4726, Renmin University of China, autor correspondente), Tom Christensen (0000-0003-1441-9243, Renmin University of China)
Ano2022
Páginas1-25
Data de publicação2022-07-22
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Asian Public Policy (JOURNAL)
Identificadores do periódicoISSN: 1751-6242 • E-ISSN: 1751-6234
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17516234.2022.2103392
OpenAlexW4286697933
IdiomaEN
Citações recebidas8
Referências citadas36

We use the case of the long-term care insurance (LTCI) in China to examine the mechanisms of transnational policy learning in a complicated multi-level regime. The 15 pilot cities learned from either German or Japan model, and they also learned from each other. We reveal the first-, second-, and third-order learning processes, which suggest a hybridization of international best practices, pioneering lessons, and local conditions. Local governments have both symbolic and substantive motivations in adopting LTCI, and both the rational-instrumental and instructional-cultural perspectives are relevant for the diversified policy learning processes

Business · China · Geography · German · Order (exchange · Policy learning · Political science · Term (time · Computer Science · Policy Transfer and Learning · Public Policy and Administration Research · Social Policy and Reform Studies

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Obras citantes distintas8
Citações por ano2
Intervalo de citações2022 - 2026 (5)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 8
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