An Analysis of The Migrants’ Wage Distribution and Its Influence Factors in and among Beijing-Tianjin-Hebei Region ——Based on Data of China Migrants Dynamic Survey in 2015
An Analysis of The Migrants’ Wage Distribution and Its Influence Factors in and among Beijing-Tianjin-Hebei Region ——Based on Data of China Migrants Dynamic Survey in 2015
YUAN Qing-chuan1, YI Ding-hong2
1.School of Economics, Hebei University, Baoding 071002, China; 2.School of Labor Relations and Human Resource, Renmin University, Beijing 100872, China
Abstract Based on the data of China Migrants Dynamic Survey in 2015, by employing the least square estimation of Recentered Influence Function in combination with the decomposition of the Blinder-Oaxaca,this paper systematically studies the wage distribution of migrants in Beijing-Tianjin-Hebei region and its influencing factors. The results show that the current migrants in Beijing-Tianjin-Hebei are mainly the transfer of peasant-workers in the process of urbanization, population flow aimed at improving the quality of job matching has not yet taken shape. It is also found that among the migrants in Beijing-Tianjin-Hebei, productivity endowments of the migrants in Beijing get the highest labor reward, but the agricultural household registration gives them the most obvious wage disadvantage, and the inter-provincial migrants empowered by industry advantage wages in Beijing-Tianjin-Hebei have improved the employment structure. Thus, to realize the orderly flow of population in Beijing-Tianjin-Hebei for the employment matching, related governments should remove administrative barriers for population flow in Beijing-Tianjin-Hebei, attenuate the association between additional benefits and household registration, and improve the mechanism of labor market returns on productivity endowment.
YUAN Qing-chuan,YI Ding-hong. An Analysis of The Migrants’ Wage Distribution and Its Influence Factors in and among Beijing-Tianjin-Hebei Region ——Based on Data of China Migrants Dynamic Survey in 2015. Economic Survey, 2019, 36(6): 09.
2019, Vol. 36 
