安徽省农村相对贫困的多指标特征测度的模型分析

Analysis on the multi index characteristic measurement model of rural relative poverty in anhui province

以中国家庭追踪调查(CFPS)安徽省农村2018—2020年成人面板数据为样本,从健康、教育以及生活水平3个维度出发,选取10个指标,采用经典probit模型建立了安徽省农村人口相对贫困的动态监测模型。通过模型分析获知,农业人口陷入相对贫困的可能性较大;社会地位、有工作和教育年限对改善相对贫困现状有正向显著影响,而年龄和性别对相对贫困状态转变也有一定的影响。

Taking the panel data of adults in rural areas of Anhui Province from 2018 to 2020 from the China Family Tracking Survey(CFPS)as the sample,and starting from the three dimensions of health,education and living standards,this paper selects 10 indicators and adopts the classic probit model to establish a dynamic monitoring model for the relative poverty of rural population in Anhui Province.Through model analysis,it is known that the population engaged in agriculture is more likely to fall into relative poverty;Social status,employment and years of education have a positive and signif‐icant impact on the improvement of relative poverty,while age and gender also have a certain impact on the transformation of relative poverty.