Research on motivation of the regional talent flow in China -based on regression analysis of 2002~2012 panel data

Ai Jun Hou; Yu Xiao Du; En Jun Xia

Research on motivation of the regional talent flow in China -based on regression analysis of 2002~2012 panel data

Ai Jun Hou
, Yu Xiao Du
, En Jun Xia

Beijing Institute of Technology
China Center of Information Industry Development

Research output: Contribution to journal › Article › peer-review

Abstract

Based on the existing theory foundation, the index system was set up for influencing talent mobility. The mixed regression model, individual fixed effects regression model and individual random effects regression model were used to test the impact factors for region talent flowing. Through F test and Hausman test, the proper empirical function was chosen. The results show that the region economic development, income level, industrial structure, science research environment are the most significant factors on the flow of talent, and different regions have their own characteristics.

Original language	English
Pages (from-to)	175-177
Number of pages	3
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	34
Publication status	Published - 1 Oct 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Motivation
Regional talent flow
Regression analysis

Cite this

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title = "Research on motivation of the regional talent flow in China -based on regression analysis of 2002\textasciitilde{}2012 panel data",

abstract = "Based on the existing theory foundation, the index system was set up for influencing talent mobility. The mixed regression model, individual fixed effects regression model and individual random effects regression model were used to test the impact factors for region talent flowing. Through F test and Hausman test, the proper empirical function was chosen. The results show that the region economic development, income level, industrial structure, science research environment are the most significant factors on the flow of talent, and different regions have their own characteristics.",

keywords = "Motivation, Regional talent flow, Regression analysis",

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AU - Hou, Ai Jun

AU - Du, Yu Xiao

AU - Xia, En Jun

PY - 2014/10/1

Y1 - 2014/10/1

N2 - Based on the existing theory foundation, the index system was set up for influencing talent mobility. The mixed regression model, individual fixed effects regression model and individual random effects regression model were used to test the impact factors for region talent flowing. Through F test and Hausman test, the proper empirical function was chosen. The results show that the region economic development, income level, industrial structure, science research environment are the most significant factors on the flow of talent, and different regions have their own characteristics.

AB - Based on the existing theory foundation, the index system was set up for influencing talent mobility. The mixed regression model, individual fixed effects regression model and individual random effects regression model were used to test the impact factors for region talent flowing. Through F test and Hausman test, the proper empirical function was chosen. The results show that the region economic development, income level, industrial structure, science research environment are the most significant factors on the flow of talent, and different regions have their own characteristics.

KW - Motivation

KW - Regional talent flow

KW - Regression analysis

UR - https://www.scopus.com/pages/publications/84922620300

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AN - SCOPUS:84922620300

SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

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ER -

Research on motivation of the regional talent flow in China -based on regression analysis of 2002~2012 panel data

Abstract

UN SDGs

Keywords

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