文献类型：期刊文献

中文题名：Study on the Distribution of Migrant Workers＇ Employment Destinations A Case Study of Henan Province, China

英文题名：Study on the Distribution of Migrant Workers＇ Employment Destinations A Case Study of Henan Province, China

作者：Gao Genghe[1,2];Luo Qing[1];Hai Beibei[1];Xu Jiawei[1];Li Erling[3]

第一作者：Gao Genghe

机构：[1]School of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China;[2]Henan Collaborative Innovation Center for Coordinating Industrialization, Urbanization and Agriculture Modernization inCentral Economic Zone, Zhengzhou 450046, China;[3]School of Environment and Planning, Henan University, Kaifeng 475004, China

第一机构：河南财经政法大学资源与环境学院

年份：2015

卷号：5

期号：1

起止页码：66-75

中文期刊名：地球科学与工程：英文版

外文期刊名：Journal of Earth Science and Engineering

语种：英文

中文关键词：就业去向;农民工;目的地;河南省;经济发展水平;外来务工人员;中国;分层抽样

外文关键词：Employment destination, migrant workers, distribution, Henan Province.

摘要：The choice of employment destination is the basis of migrant workers＇ spatial flow, the study on the choice of employment destination is helpful to understand the spatial law of migrant workers＇ flow from a micro perspective. Through the case study on 11 sample villages generated by the random stratified sampling in Henan Province, authors of this paper find that the distribution of destinations is dispersed in a large area while concentrated in certain places. Most of the destinations are in counties and outside Henan Province. Migrant workers are mainly concentrated in the economically more developed eastern provinces. The central, though a big source of migrant workers, has not formed a core employment area for migrant workers. The main factors influencing migrant workers＇ choice of employment distances include age, family size, per capita arable land, the village＇s economic development level, the village terrain, transportation, its distance from the nearest city, and workers＇ relationship networks. From the perspective of employment destinations, on a provincial scale, the employment attraction coefficient based on the destination＇s level of economic development and the employment distance, efficiently explains farmers＇ choice of destinations, that is, destinations with a more developed economy and a shorter employment distance are the top choice for migrant workers.