脱贫户收入来源在脱贫前后的差异性分析——以施秉县为例
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  • 英文篇名:Difference Analysis of Income Sources of Poverty Alleviation Households before and after Poverty Alleviation:Take Shibing County as an Example
  • 作者:陈果
  • 英文作者:CHEN Guo;School of Geography and Environmental Science,Guizhou Normal University;
  • 关键词:施秉县 ; 收入来源 ; 差异性
  • 英文关键词:Shibing County;;source of income;;difference
  • 中文刊名:JZGC
  • 英文刊名:Value Engineering
  • 机构:贵州师范大学地理与环境科学学院;
  • 出版日期:2019-01-14
  • 出版单位:价值工程
  • 年:2019
  • 期:v.38;No.516
  • 语种:中文;
  • 页:JZGC201904018
  • 页数:3
  • CN:04
  • ISSN:13-1085/N
  • 分类号:62-64
摘要
基于施秉县1069户农户的收入来源数据,从不同角度分析建档立卡农户在脱贫前后收入来源的差异性。研究结果如下:(1)从收入来源构成角度来看,农户在脱贫以后的收入来源种类呈现出多样性的特征。(2)从单一的收入来源角度出发,脱贫前后的经营性收入占比在总调查样本中均占较大幅度的比例,脱贫前占总样本量的84%,脱贫后占总样本的86.4%;农户工资性收入和转移性收入在脱贫后有较大幅度的提升,工资性收入从脱贫前的53.8%上升至87.8%,转移性收入从22.7%增加至68.7%。(3)不同乡镇农户的收入来源构成存在明显的差异性。基于此,提出了拓宽农户收入渠道,鼓励农户外出务工等政策建议。
        Based on the income data of 1069 households in Shibing County, the differences in income sources before and after poverty alleviation were analyzed from different angles. The results are as follows:(1)From the perspective of income source composition, the income sources of farmers after poverty alleviation are characterized by diversity.(2) From the perspective of a single source of income, the proportion of operating income before and after poverty alleviation accounts for a large proportion in the total survey sample, accounting for84% of the total sample before poverty alleviation and 86.4% of the total sample after poverty alleviation; The wage income and transfer income of farmers have increased significantly after poverty alleviation. The wage income has increased from 53.8% before poverty alleviation to 87.8%, and the transfer income has increased from 22.7% to 68.7%.(3)There are obvious differences in the income sources of different rural households. Based on this, it puts forward policy recommendations such as broadening the income channels of farmers and encouraging farmers to work outdoors.
引文
[1]胡鞍钢,李春波.新世纪的新贫困:知识贫困[J].中国社会科学,2001(3):70-81.
    [2]汪三贵,郭子豪.论中国的精准扶贫[J].党政视野,2016(7):44.
    [3]刘彦随,周扬,刘继来.中国农村贫困化地域分异特征及其精准扶贫策略[J].中国科学院院刊,2016(3):269-278.
    [4]李裕瑞,曹智,郑小玉,等.我国实施精准扶贫的区域模式与可持续途径[J].中国科学院院刊,2016,31(3):279-288.
    [5]邓维杰.精准扶贫的难点、对策与路径选择[J].农村经济,2014(6):78-81.
    [6]王三运.扶贫开发贵在精准——学习贯彻习近平总书记扶贫开发重要思想[J].求是,2015(19):7-9.
    [7]李文会,林晓娜,孙威.贵州省普定县农户收入的影响因素分析[J].中国科学院大学学报,2017,34(1):69-76.
    [8]张祯,陈潇腾,沈佳慧,等.农民收入来源结构对农户收入差距的影响——来自浙江典型村的实证研究[J].浙江经济,2017(4):62-63.
    [9]管琳,刘淑俊.土地流转后农民收入来源变化的聚类和因子分析[J].中国人口·资源与环境,2015,25(183S2):158-161.
    [10]李金香,夏淑琴,冯利盈.移民搬迁农户收入来源的区位差异研究[J].中国农业资源与区划,2016,37(9):87-94.
    [11]张海霞,庄天慧,杜兴端.自然灾害对农户收入来源变化的影响研究——以西南民族贫困地区650户农户为例[J].四川农业大学学报,2014,32(3):340-345.
    [12]张祯,陈潇腾,沈佳慧,等.农民收入来源结构对农户收入差距的影响——来自浙江典型村的实证研究[J].浙江经济,2017(4):62-63.

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