摘要
本文利用陕西省的调查数据,运用多元Logistic模型实证分析了返乡农民工再就业状态选择及其影响因素。结果表明:自身特征、就业能力、就业环境和就业保障对其再就业状态选择影响显著,且存在差异。其中,性别、年龄对待业状态有显著负向影响,学历和农村低保户对待业状态有显著正向影响;特色产业状况、中介服务及职业咨询等对就近务工状态有显著正向影响;贷款融资优惠、再就业补助金等对创业状态有显著正向影响;机会识别及人际交往能力对兼业状态有显著正向影响;经济发展水平对待业状态有显著负向影响,对其他三种状态有显著正向影响。
In view of survey data got from Shaanxi Province, this study empirically analyzes the different re-employment states of the returned peasant-workers and its influencing factors by means of multiple Logical model. The results show the re-employment states of returned peasant-workers are strikingly affected by their own characteristics, employability, employment environment and security in different degrees. In more detail, gender and age have an excessive negative impact on unemployment, but educational degree and low-income family have an excessive positive impact on that. Meanwhile, working age, special industry, intermediary services and career counseling have significant impact on local employment, and the influencing factors like concessions to loan and financing together with re-employment subsidy are all positive influencing factors to entrepreneurship. What's more, the opportunity identification and interpersonal skirls also havegreat positive impact on multiple occupations, and the effect on the local employment, entrepreneurship and on the unemployment. level of economical development has positive multiple occupations, but has negative effect
出处
《人口与经济》
CSSCI
北大核心
2013年第4期89-95,109,共8页
Population & Economics
基金
国家社会科学基金项目"西部返乡农民工创业环境评估研究"(10XGL0002)
陕西省软科学项目"陕西省返乡农民工再就业研究"(2012KRM87)
关键词
返乡农民工
再就业状态
影响因素
多元logistic模型
returned peasant-workers
re-employment states
influencing factor
multiple regression model Logistic