摘要
基于中国健康与养老追踪调查(CHARLS)数据,借助SPSS19.0软件,从个体特征、社会保障、劳工、土地权益4个方面对中国农村土地流转的现状及影响因素进行了多元有序Logistic回归,并进行回归中不同进入方法之间的对比。结果表明,目前中国农村土地流转率仍偏低,农村65岁以上人数比例、农村非农户数比例、是否参与养老保险、是否发放失业补助、土地是否确权、土地允许流转年限5个变量对农村土地流转率均存在显著影响,最后针对回归结果提出建议。
Based on the survey data of community in China health and retirement longitudinal study, and with the help of SPSS19.0 software, the current situation and influence factors of rural land circulation in China were analyzed by ordered Logistic regression from four aspects of individual characteristics, social security, labor and land rights, and different entry methods in regression were contrasted. Results of the significance test showed that, the present rate of rural land circulation in China was still low. And five variables including the proportion of population over 65 years of age, the rural old-age insurance, unemployment benefits, right or not, and allowable years of ownership circulation had adverse impact on the rate of rural land circulation, in which the old-age insurance had the largest influence. Finally, according to the regression results some suggestions were put forward.
出处
《湖北农业科学》
2017年第4期779-782,共4页
Hubei Agricultural Sciences
基金
国家社科基金重大项目(13&ZD172)
关键词
土地流转
影响因素
有序回归
CHARLS
land circulation
influence factors
ordinal regression
China health and retirement longitudinal survey