论文部分内容阅读
文章采用中国家庭收入调查(CHIP)数据,根据准实验研究设计原理将初次外出的新农民工按其拥有的社会关系与信息网络差异分为7个不同情境的处理组与对照组,运用熵均衡处理方法估算组间收入差异,以分析社会网络对初次外出新农民工收入的影响。研究结果表明,亲戚关系对新农民工的收入效应强于熟人关系,但老乡信息网络比血缘信息网络更利于新农民工找到收入更高的工作;既有亲戚关系又有老乡信息网络的新农民工的平均收入比其他新农民工高50%以上。新农民工在初次务工城市通过强关系的人情资源与老乡网络的信息渠道实现就业是成本低、效率高、效果好的路径。基于这些结论,文章建议构建以政府为主导、以企业为基石、以社区为纽带的多元社会网络支持体系,打破新农民工传统闭塞的人际交流圈,重构其在务工城市的新型社会网络。
According to the quasi-experimental research design principle, the paper divides the new migrant workers who go out for the first time into seven treatment and control groups in different situations according to the differences of their social relations and information networks. Using entropy equalization Approach To estimate differences in income among groups to analyze the impact of social networks on the income of new migrant workers who go out for the first time. The results show that the relationship between relatives on the new migrant workers income stronger than acquaintances, but the rural information network than the blood information network is more conducive to new migrant workers to find a higher income job; both relatives and the old farmers information network of new farmers The average income of workers is over 50% higher than that of other new migrant workers. New migrant workers in the city of first-time workers through the strong relationship between human resources and information channels fox network to achieve employment is low cost, high efficiency, effective way. Based on these conclusions, the article proposes to construct a multi-dimensional social network support system based on the government, taking the enterprise as the cornerstone and the community as the link, and to break the traditional social blockade of new migrant workers and reconstruct their new social networks in migrant workers.