摘要
本文运用CLDS2014个体数据,应用现代非参数方法以个人年均总收入为基准,将农村居民划为三个收入阶层.以人力资本为视角,采用多元Logit模型研究发现,教育是决定农村收入阶层的重要因素.不同受教育程度对不同阶层的影响各有侧重,工作经验和健康状况均有助于农民进入较高收入阶层,专业技术培训对农民低收入阶层有显著正影响.
In this paper, using the individual data of CLDS2014 and the modern non parametric method, the rural residents are divided into three income classes according to the average annual income of the individual. The empirical study, fi'om the perspective of human capital, based on the multiple Logit model, shows that education is an important factor in detemlining the income class of rural areas. The impact of different levels of education on dif- ferent classes has its own focus, Work experience and health status help farmers to enter higher income groups. Professional technical training has a significant positive impact on low-income groups. Working experience and health can help farmers to enter higher income class, and professional and technical training has a significant posi-tive effect on farmers of lower income.
作者
张曼
孔庆洋
ZHANG Man;KONG Qing-yang(School of Economics and Management,Anhui Normal University,Wuhu 241003,China)
出处
《洛阳师范学院学报》
2018年第8期49-54,共6页
Journal of Luoyang Normal University
基金
安徽师范大学研究生科研创新与实践项目(2018kycx065)
教育部人文社会科学一般项目(13YJA790040)