湖北农业科学 ›› 2024, Vol. 63 ›› Issue (6): 249-257.doi: 10.14088/j.cnki.issn0439-8114.2024.06.041

• 乡村振兴 • 上一篇    

脱贫户返贫风险的动态识别——基于南疆地区脱贫农户的微观调查

陈丽, 贾秋嫒, 苏洋, 丁宇   

  1. 新疆农业大学经济管理学院,乌鲁木齐 830052
  • 收稿日期:2023-09-11 出版日期:2024-06-25 发布日期:2024-06-26
  • 通讯作者: 丁 宇(1971-),男,甘肃兰州人,副教授,博士,主要从事农林经济研究,(电话)13999102296(电子信箱)396670030@qq.com。
  • 作者简介:陈 丽(1982-),女,甘肃酒泉人,讲师,硕士,主要从事农林经济研究,(电话)13999130995(电子信箱)506561444@qq.com。
  • 基金资助:
    新疆维吾尔自治区高校基本科研业务费科研项目(XJEDU2022J004)

Dynamic identification of the risk of returning to poverty:Based on the micro-survey of poverty alleviation households in southern Xinjiang

CHEN Li, JIA Qiu-ai, SU Yang, DING Yu   

  1. College of Economics & Management, Xinjiang Agricultural University,Urumqi 830052, China
  • Received:2023-09-11 Published:2024-06-25 Online:2024-06-26

摘要: 基于可持续生计理论视角,将脱贫户脱贫风险的动态识别指标进行整合,并从识别规模和识别精准度两个方面考察其识别绩效,并选取脱贫攻坚中成果突出的村庄展开微观调查,运用案例研究方法进行实证分析。结果表明,可持续生计水平越低,则脱贫户返贫风险越高,反之则越低;脱贫户路径依赖性越强,则脱贫户返贫风险越高,反之则越低;利用可持续生计和返贫风险两维度指标,返贫风险越大,则脱贫户纳入识别绩效(程度、规模)越大,反之则越低。根据结论进行监测机制设计,进一步完善返贫风险监测预警指标体系,从而提升“主动式”识别与动态监测能力。

关键词: 脱贫户, 可持续生计, 返贫风险, 动态识别, 南疆地区

Abstract: Based on the perspective of sustainable livelihood theory, the dynamic identification indicators of poverty alleviation risks of poverty alleviation households were integrated, and their identification performance was investigated from the two aspects of identification scale and identification accuracy. Villages with outstanding achievements in poverty alleviation were selected to carry out micro investigation, and case study methods were used for empirical analysis. The results showed that the lower the level of sustainable livelihood, the higher the risk of returning to poverty of poverty alleviation households, and vice versa; the stronger the path dependence of poverty alleviation households, the higher the risk of returning to poverty of poverty alleviation households, and vice versa; using the two-dimensional indicators of sustainable livelihood and the risk of returning to poverty, the greater the risk of returning to poverty, the greater the identification performance (degree, scale) of poverty alleviation households, and vice versa. According to the conclusion, the monitoring mechanism was designed to further improve the monitoring and early warning index system of the risk of returning to poverty, so as to improve the “active” identification and dynamic monitoring ability.

Key words: poverty alleviation households, sustainable livelihood, the risk of returning to poverty, dynamic identification, southern Xinjiang

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