湖北农业科学 ›› 2021, Vol. 60 ›› Issue (4): 116-121.doi: 10.14088/j.cnki.issn0439-8114.2021.04.024

• 扶贫减贫 • 上一篇    下一篇

就业扶贫对减贫脱贫的效应及影响因素分析——基于南疆拜城县深度贫困村的调查

祖拜旦木·吐拉甫, 祖力菲娅·买买提, 赵艳梅, 马红卓   

  1. 新疆农业大学管理学院,乌鲁木齐 830052
  • 收稿日期:2020-05-24 出版日期:2021-02-25 发布日期:2021-03-07
  • 通讯作者: 祖力菲娅·买买提(1965-),女(维吾尔族),新疆乌鲁木齐人,副教授,博士,主要从事公共政策的研究;赵艳梅(1989-),女,内蒙古巴彦淖尔人,讲师,硕士,主要从事公共管理研究。
  • 作者简介:祖拜旦木·吐拉甫(1992-),女(维吾尔族),新疆阿克苏人,硕士,研究方向为行政管理、扶贫,(电话)13609971706(电子信息)1540834002@qq.com。
  • 基金资助:
    全国教育科学规划课题(EMA190469)

An analysis employment poverty alleviation effect on poverty alleviation and its influence factors:Based on the survey date of poverty villages in Baicheng county,southern Xinjiang

TULAFU Zubaidanmu, MAIMAITI Zulifeiya, ZHAO Yan-mei, MA Hong-zhuo   

  1. School of Management, Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2020-05-24 Online:2021-02-25 Published:2021-03-07

摘要: 基于新疆贫困检测调查数据和南疆四地州中的拜城县深度贫困村的调查数据,分析就业扶贫对减贫脱贫效应及影响因素。运用Logistic二元回归方法,从个体、家庭和村庄对影响转移就业的因素进行实证分析。结果表明,男性、受教育程度、健康状况良好、劳动力数量对劳动力转移就业有正显著影响;而年龄、户主文化程度、家庭耕地面积对劳动力转移就业有负向影响。最后,根据实证分析结果提出相关的建议。

关键词: 贫困劳动力, 转移就业扶贫, 减贫脱贫效应, Logistic模型

Abstract: Based on the survey data of poverty detection in Xinjiang and the survey data of deep poverty villages in Baicheng county of four prefectures in southern Xinjiang, the effects of employment poverty alleviation on poverty alleviation and its influencing factors are analyzed. Using the logistic binary regression method, the factors affecting the transfer of employment from individuals, families and villages are made an empirical analysis. Male, educational level, good health and the number of labor force have a positive and significant impact on labor force transfer and employment, while age, education level of household heads and family cultivated land area have a negative impact. Finally, some suggestions are put forward according to the results of empirical analysis.

Key words: poverty-stricken labor force, transfer of employment and poverty alleviation, poverty alleviation and poverty alleviation effect, Logistic model

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