西部民族地区农村劳动力转移培训效应及政策优化研究- - 以云南民族地区为例

项目名称： 西部民族地区农村劳动力转移培训效应及政策优化研究- - 以云南民族地区为例

项目编号： No.71263055

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 李兴绪

作者单位： 云南财经大学

项目金额： 36万元

中文摘要： 西部民族地区是国家反贫困的重点地区，国家在这些地区实施了农村劳动力转移培训政策。其培训政策实施的效应研究，对政府有效利用培训资金，更好地帮助农民转向非农产业和提高农业生产的效率，完善后续的培训政策有着重要的现实意义。本项目重点研究问题为：（1）农民对培训的参与度分析。农民参加培训的积极性不高是政府培训组织方面的原因（如培训内容的设计、培训地点的选择等），还是农民本身的原因（如受教育程度低、没有时间等）。（2）培训对农村家庭的影响分析。研究培训对农村家庭劳动力就业的非农化和农业生产的效率的影响。（3）分层数据条件下培训的收益率的估计方法研究与实证分析。拓展异质性工具变量模型方法，考虑村庄异质性对培训收益率估计的影响，构建多水平异质工具变量模型方法，并进行培训收益率的实证分析。（4）针对培训政策实施过程中存在的问题，提出政策优化建议。

中文关键词： 劳动力培训；异质性；选择性偏差；效应评估；民族地区

英文摘要： Western minority areas are crucial for anti-poverty in China, the government establishes the rural labor force transfer training program for them. It is quite practical and significant for training effects research, training foundation using effectively, rural labor force transferring to nonagricultural sectors more smoothly, increasing efficiency of agricultural production and improving the training policy. What we focus on in this research are: (1) Analyses the effects of the training program. Why the rural labor forces take part in training without high positivity? Is it because the inefficiency of this training program, such as the content of the training program and the training places, or the labor force themselves who are with low education and too busy to take part in training. (2) Analyses the effects of the training household, what is the difference caused by training between the efficiency of the rural labor force for the agricultural production and the nonagricultural production. (3) Researches the estimation method of training return rate and makes empirical analyses with individual-layer data. This research improves the estimation method for heterogeneous dummy variable model, takes the impact of estimation of the training return rate with village heterogeneity into account, sets up multilevel het

英文关键词： labor force training program；heterogeneity；selection bias；training effect estimation；minority nationality areas