Humanities and Social Sciences
Volume 6, Issue 3, May 2018, Pages: 97-102
Received: May 27, 2018;
Accepted: Jun. 19, 2018;
Published: Jul. 11, 2018
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Lan Ma, Jiangsu Provincial Academy of Social Sciences, Nanjing, P. R. China; School of Social and Behavior Science, Nanjing University, Nanjing, P. R. China
The basic endowment insurance system for enterprise employees has already covered migrant workers in China. However, a number of migrant workers have withdrawn from insurance system in economically developed regions in recent years. And the number is on the rise. The root cause for it lies in the institutional barrier of trans-regional migration. Besides, it also closely linked to the internal contradictoriness in the endowment insurance system. This paper aims at discussing how to break the trans-regional migration obstacles of endowment insurance system and promote the current pooling account from provincial level to national level. Based on the analysis on China's basic endowment insurance system, four main problems has been found. They are county-based system and low level of pension pooling, trade-off in local governments caused by fiscal backstop, restrictions from the existing fiscal system, and implement of policies relies heavily on execution of basic-level governments. In order to solve these problems of existing endowment insurance system, establishing an integrated endowment insurance system which covers the whole Chinese citizens is further proposed. In addition, confronted with the current fact that we have a big gap of social security treatment between urban and rural areas, among different regions and among various groups, the feasible solution is to complete transformation from differential universal-type social welfare system to fair universal-type social welfare system. To promote the current pooling account from provincial level to national level, it needs to be carried forward systematically and stage by stage.
Investigation of Key Problems and Future Development of China's Endowment, Humanities and Social Sciences.
Vol. 6, No. 3,
2018, pp. 97-102.
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