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author:

Chen, Shengming (Chen, Shengming.) [1] | Zhang, Yabin (Zhang, Yabin.) [2] | Ye, Azhong (Ye, Azhong.) [3] (Scholars:叶阿忠)

Indexed by:

EI Scopus

Abstract:

In this article, the authors research on the effect of international mobility of talent impact on Chinese economic development based on nonlinear relationship. From the perspective of the heterogeneity of human capital, this article introduces brain drain into a production function and analyzes the relationship between brain drain and economic development of the home country, and this paper draws an conclusion that moderate brain drain enhance the economic development of home country, but the unlimited brain drain will weaken the home country's production capacity. On the contrary, it will cause the loss of economic of the home country. On the other hand, this article use Chinese Provincial Panel Data during 1997-2014 to construct the indicators of brain drain, and then use dynamic semi-parametric spatial lag model to empirical test the above inference. And find that there is indeed optimal level of brain drain in our country, but the level of the eastern coastal provinces is too high which inhibit the economic development of this region. Therefore, develop differentiated brain drain policies for coastal and inland, be a reasonable guide to the transnational flow of talent is important to increase China's economic. © 2016 SERSC.

Keyword:

Economic and social effects Economics

Community:

  • [ 1 ] [Chen, Shengming]School of Economics and Trade, Hunan University, Changsha; 410079, China
  • [ 2 ] [Zhang, Yabin]School of Economics and Trade, Hunan University, Changsha; 410079, China
  • [ 3 ] [Ye, Azhong]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 陈生明

    [chen, shengming]school of economics and trade, hunan university, changsha; 410079, china

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Source :

International Journal of Security and its Applications

ISSN: 1738-9976

Year: 2016

Issue: 10

Volume: 10

Page: 249-260

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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