详细信息
深度贫困区多维贫困测度及影响因素研究——以甘肃省岷县东部山区为例 被引量:5
Multidimensional Poverty Measurement and Influencing Factors Analysis in Deep Poverty Area:A Case Study on Mountain Area of Min County in Gansu Province,China
文献类型:期刊文献
中文题名:深度贫困区多维贫困测度及影响因素研究——以甘肃省岷县东部山区为例
英文题名:Multidimensional Poverty Measurement and Influencing Factors Analysis in Deep Poverty Area:A Case Study on Mountain Area of Min County in Gansu Province,China
作者:王小鹏[1];何启明[1];曹娟玲[1];林长伟[1]
第一作者:王小鹏
机构:[1]甘肃中医药大学定西校区理科教学部,甘肃定西743000
第一机构:甘肃中医药大学定西校区
年份:2019
卷号:37
期号:5
起止页码:768
中文期刊名:山地学报
外文期刊名:Mountain Research
收录:CSTPCD;;北大核心:【北大核心2017】;CSCD:【CSCD2019_2020】;
基金:甘肃省哲学社会科学规划项目(YB077);甘肃省高等学校创新能力提升项目(2019A-196);甘肃中医药大学定西校区校级项目(2019XJZD07)。
语种:中文
中文关键词:多维贫困;山区农户;深度贫困区;甘肃岷县;致贫因素
外文关键词:multidimensional poverty;mountain peasant;deep poverty area;Min country of Gansu Province;poverty contributing factors
摘要:科学揭示深度贫困区的贫困发生机制、贫困特征及致贫因素,对于目前脱贫攻坚返贫预警机制构建和2020年后相对贫困阶段扶贫开发政策的制定具有重要意义.本文采用A-F方法,构建农村家庭收入、健康、生活质量、教育4个维度11个指标的多维贫困指标体系,基于参与式农村评估(PRA)方法,访谈调查甘肃省岷县东部山区119户农村家庭,从农村家庭户主个体特征、农村家庭特征及村庄地理位置3个因素选取9个变量,定量分析了农村家庭多维贫困特征及致贫因素.研究结果表明:(1)深度贫困区农村家庭普遍呈现出多维贫困特征,多维贫困发生率H、多维贫困指数MPI随剥夺贫困值增加呈现下降态势;(2)研究区农村家庭的主要致贫因素为学历、疾病、收入来源和人均收入;(3)户主个体特征、农村家庭特征及村庄地理位置各变量均对农村家庭的多维贫困产生影响,尤其是户主年龄、常年生病病人数与多维贫困状况呈现显著正相关,户主文化程度、人均耕地面积呈现显著负相关.
Revealing scientifically the mechanism of poverty,analyzing of poverty characteristics and poverty contributing factors is great significant to the construction of the early warning mechanism for poverty returning.At the same time,it is of great significance for the formulation of poverty alleviation and development policies in the relatively poor stage after 2020.Based on A-F method,this paper constructed a multi-dimensional poverty index system with 11 indicators in 4 dimensions of rural household income,health,quality of life and education.Using participatory rural assessment(PRA)method,the project team interviewed 119 rural families in the eastern mountainous area of Min County in Gansu Province.It quantitatively analyzed the multidimensional poverty characteristics of rural families,and revealed poverty contributing factors from the individual characteristics of rural household heads,the characteristics of rural households and the geographical location of villages.The results are shown as follows:(1)Rural families in deep poverty areas generally showed multidimensional poverty characteristics.The incidence of multidimensional poverty H and multidimensional poverty index MPI showed a decline trend with the increase of poverty deprivation.(2)The main poverty contributing factors of rural families in the study area were education background,disease,source of income and per capita income.(3)Individual characteristics of household’s heads,characteristics of rural families and village geographic location all had impacted on multidimensional poverty of rural families.The age of household’s head and the number of sick were positively correlated with multidimensional poverty.The educational level of household’s head and the per cultivated area were negatively correlated with multidimensional poverty.In the future,poverty alleviation in the research area needs exerting government functions to coordinating and integrating poverty alleviation resources in medical,educational,health and other departments.In order to ensure the long-term effectiveness and stability of poverty management,the livelihood environment should be improved to promote the efficient combination of family livelihood capital and livelihood output.
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