scholarly journals VALIDATION OF THE 2025 SOCIAL SECURITY REFORM MODEL BASED ON USER RETIOS FOR LONG-TERM CARE INSURANCE FACILITIES IN 2010 AND THE POSSIBILITY OF APPLYING THE MODEL'S QUANTITATIVE INDICES FOR ESTABLISHMENT OF FACILITIES

2016 ◽  
Vol 81 (721) ◽  
pp. 559-567
Author(s):  
Tatsuya NISHINO
2019 ◽  
Vol 21 (2) ◽  
pp. 100-118
Author(s):  
Paul Schoukens ◽  
Greta Gorissen

This article depicts the internal coordination of social security schemes, covered by EU Regulation no. 883/2004 in the federal state of Belgium. Since the first state reform in 1970, Belgium gradually evolved from a unitary into a federal state. Next to the federal level, there are two additional levels, the Communities and the Regions. Family allowances and long-term care insurance are, for instance, within the competence of the Communities. The article outlines the extent of federalism and decentralisation, the adjudication of competence between the federated entities and the financial arrangements between the federal state and the federated entities as well as the financial arrangements between the federated entities.


2021 ◽  
Vol 13 (6) ◽  
pp. 3233
Author(s):  
Jian Zhang ◽  
Xiao Yu ◽  
Yanzhe Zhang

This paper explores the initiation process of the long-term care insurance (LTCI) policy in China’s social security sector, and focuses on policy-oriented learning activities to develop initiatives from German lessons. It presents a case from the LTCI pilot program, which serves as a new policy product that provides care to the elderly and disabled and upgrades the social security sector’s performance. This study implements policy-oriented learning to construct an analytical framework and applies it to China’s social security system. This research suggests that policy-oriented learning is a rational tool used to manufacture policy products that enable intellectual development and can provide roadmaps for administrative reform. The findings contribute to the current knowledge on policy-oriented learning by offering new insights from China’s experience with LTCI, thus helping to fill the gaps that are created when policy-oriented learning is applied to different systems and contexts, with unique cultural, traditional, and political characteristics.


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