Abstract：Based on a nationwide (except Beijing, Shanghai, Hong Kong, Macao and Taiwan) survey of female migrants, this study tries to understand the spatial working behavior of female migrants and explore its factors. Firstly, we put forward working activity of female migrants as a new concept and decompose it into four active factors:the working distance, the working time, the number of workplaces and the working frequency. The study uses analytic hierarchy process to analyze the weight of each factor and calculate the activity of each province. Then, to explore the correlation between working activity and economic factors of each province, we employ regression analysis after introducing per capita net income of rural household. The geographical spatial distribution of four active factors is analyzed, the patterns of which are different from each other, but they share the same core-periphery structure. To further explore the geographical spatial distribution characteristics of working activity in combination with per capita net income of rural household, this study uses clustering analysis and divides the whole country into seven regions. The main features of geographical spatial distribution can be concluded as follows:(1) Working activity of female migrants of interior provinces is higher than that of coastal provinces which is mainly affected by the lager income disparity of the former. (2) Among interior provinces, the working activity of female migrants of southern provinces is higher than that of northern provinces because of less per capita cultivated land of southern provinces. (3) Xinjiang and Tibet show distinct characters in working activity of female migrants due to closed and remote terrain with special religions and cultures.
李武斌, 邱婴芝, 薛亮, 黄为芊, 陈裕. 中国女性农民工务工活跃度研究——基于全国29省份调查数据与陕西省实证研究[J]. 人文地理, 2015, 30(4): 52-58.
LI Wu-bin, QIU Ying-zhi, XUE Liang, HUANG Wei-qian, CHEN Yu. RESEARCH ON WORKING ACTIVITY OF CHINESE FEMALE MIGRANTS: BASED ON A SURVEY OF 29 PROVINCES AND AN EMPIRICAL RESEARCH OF SHAANXI PROVINCE. HUMAN GEOGRAPHY, 2015, 30(4): 52-58.
