摘要
利用2013年中国综合社会调查数据,运用Logistic计量模型研究了农民工的就业分化及其影响因素。研究发现:近60%的农民工从事雇员类工作;暂时性失业或返农农民工的比例达15.53%;自我雇佣类农民工占比为25.06%;男性农民工处于较高层级工作岗位的概率更大;受教育水平能够显著提升农民工进入高层级工作岗位的概率,是农民工职业层晋级的重要决定因素;家庭经济状况较好、居住在城市中心区域的农民工进入较高层级工作岗位的可能性更大;农民工的年龄与其职业层之间呈倒"U"型关系;影响农民工职业层晋级的因素会因代际、收入水平以及居住区域不同而存在差异。
Based on the comprehensive social survey data of China in 2013, this paper uses logistic mod-el to study migrant workers＇ employment differentiation and its influential factors. The study finds that,nearly 60% migrant workers are employees; The proportion of migrant workers who are temporarily un-employed or carry out farming accounts for 15.53%; the percentage of self-employed migrant workers is25.06%; male migrant workers are more likely to take higher level jobs; education level can significantlyincrease the probability for migrant workers to take high-level jobs, and it＇s an important factor in up-grading migrant workers＇ occupation level; migrant workers, with better economic conditions, or living inurban centers have a greater probability of engaging in higher-level jobs; the age of migrant workers andtheir occupation level present an inverted＂U＂shape relationship; factors affecting the upgrading of mi-grant workers＇ occupation level are different in groups of inter-generations, income levels, and living ar-eas.
作者
欧阳博强
张广胜
OUYANG Bo-qiang;ZHANG Guang-sheng(College of Economic and Management, Shenyang Agricultural University,Shenyang 110866,China;Business School, Liaoning University,Shenyang 110136,China)
出处
《华南农业大学学报（社会科学版）》
CSSCI
北大核心
2018年第3期48-61,共14页
Journal of South China Agricultural University(Social Science Edition)
基金
国家自然科学基金面上项目(71273179)
辽宁省高等学校创新团队支持计划(WT2015009)
辽宁省特聘教授支持计划(2013-49)
关键词
农民工
就业分化
职业层分级
非农就业
migrant workers
employment differentiation
occupational level classification
non-agricul-tural employment
作者简介
欧阳博强（1989-），男，湖南郴州人，沈阳农业大学经济管理学院博士研究生，主要研究方向为农业经济理论与政策。E—mail：344194903@qq.com
