|Table of Contents|

Empirical analysis on risk assessment and prevention mechanism construction of farmer households lifted out of poverty returning to poverty(PDF)

《长安大学学报(社科版)》[ISSN:1671-6248/CN:61-1391/C]

Issue:
2023年02期
Page:
103-116
Research Field:
社会学
Publishing date:

Info

Title:
Empirical analysis on risk assessment and prevention mechanism construction of farmer households lifted out of poverty returning to poverty
Author(s):
CAI Jie1 MA Shuyue1 XIA Xianli2
(1. School of Humanities, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Economics and Management, Northwest University of Agriculture and Forestry Science and Technology, Yangling 712100, Shaanxi, China)
Keywords:
farmer households lifted out of poverty prevention of the risk of returning to poverty matter-element scalable model southern Shaanxi region endogenous power information risk
PACS:
F323.8
DOI:
-
Abstract:
Identifying the risk of farmer households lifted out of poverty returning to poverty and formulating effective governance strategies are the key to enabling the effective connection between poverty alleviation and rural revitalization at this stage, and they are also the essential task of realizing the common prosperity of farmers and rural areas. In terms of the problem of farmer households lifted out of poverty potentially returning to poverty due to unstable living standards, and based on the field survey data of farmer households lifted out of poverty in southern Shaanxi, this paper constructs a risk index evaluation system of returning to poverty and uses the matter-element model to evaluate their risk of returning to poverty, analyzes the influencing factors of the risk of returning to poverty in depth, and establishes a mechanism to prevent the farmer households lifted out of poverty from returning to poverty. The research shows that most of the farmer households lifted out of poverty in southern Shaanxi are at a general risk level with low discrepancy; the health status of members of farmer households lifted out of poverty, the risk of natural disasters, the risk of environmental pollution affecting the quality of agricultural products and the social network are important factors that may lead to their return to poverty. This indicates that the policy system, natural environment, and resource endowment of areas that have shaken off poverty, and the individual abilities of the farmer households lifted out of poverty are the influencing factors for the farmer households lifted out of poverty in southern Shaanxi to potentially return to poverty. The proposed solutions include: establish a whole-process risk early warning mechanism based on pre-defense, in-process processing, and post-event tracking system, strengthen the ideological education of the farmer households lifted out of poverty, pay attention to the improvement of endogenous power, improve the adaptability of farmer households lifted out of poverty to external environmental changes, create advantageous industries that can produce economic benefits, promote the development of ecological agriculture, agricultural tourism industry, and cultural industry, improve and upgrade rural education and medical care, improve infrastructure construction such as road water conservancy, information network, natural gas energy, promote the accumulation of social capital of farmer households lifted out of poverty, and improve the level of sustainable livelihood and social participation capability.

References:

[1] 刘毅,高云才,顾仲阳,等.脱贫摘帽不是终点,而是新起点[N].人民日报,2020-03-11(3).
[2]中共中央国务院关于做好二〇二三年全面推进乡村振兴重点工作的意见[N].人民日报,2023-02-14(1).
[3]YUSUF S A,W M ASHAGIDIGBI,D P BWALA.Poverty and risk attitude of farmers in North-Central,Nigeria[J].Journal of environmental and agricultural sciences,2015,3(3):1-7.
[4]章文光,吴义熔,宫钰.建档立卡贫困户的返贫风险预测及返贫原因分析——基于2019年25省(区、市)建档立卡实地监测调研数据[J].改革,2020(12):110-120.
[5]黄国庆,刘钇,时朋飞.民族地区脱贫农户返贫风险评估与预警机制构建[J].华中农业大学学报(社会科学版),2021(4):79-88.
[6]吴本健,肖时花,马雨莲.人口较少民族脱贫脱贫农户的返贫风险:测量方法、影响因素与政策取向[J].西北民族研究,2021(2):119-135.
[7]耿新.民族地区返贫风险与返贫人口的影响因素分析[J].云南民族大学学报(哲学社会科学版),2020,37(5):68-75.
[8]汪磊,汪霞.基于风险分析的西南喀斯特山地省区农村返贫问题研究——以贵州为例[J].贵州大学学报(社会科学版),2013,31(3):27-30.
[9]杨龙,李萌,卢海阳.深度贫困地区农户多维贫困脆弱性与风险管理[J].华南师范大学学报(社会科学版),2019(6):12-18.
[10]袁方,史清华.创业能减少农村返贫吗?——基于全国农村固定观察点数据的实证[J].农村经济,2019(10):62-69.
[11]张学敏,史玲燕,薛艳,等.乡村振兴视阈下返贫预警评价指标体系构建与实证[J].统计与决策,2021,37(13):58-62.
[12]段小力.返贫的特征、成因及阻断[J].人民论坛,2020(3):90-91.
[13]王媛.后扶贫时代规模性返贫风险的诱致因素、生成机理与防范路径[J].科学社会主义,2021(5):102-108.
[14]潘文轩.贫困地区返贫与新增贫困的现状、成因及对策——基于扶贫对象动态管理数据的统计分析[J].云南民族大学学报(哲学社会科学版),2020,37(6):72-81.
[15]蔡洁,马红玉,夏显力.集中连片特困区农地转出户生计策略选择研究——基于六盘山的微观实证分析[J].资源科学,2017(11):69-79.
[16]廖冰,邝晓燕,邹佳敏.后扶贫时代“三类户”返贫风险识别与测度研究[J].干旱区资源与环境,2022,36(10):25-33.
[17]汪三贵,黄奕杰,马兰.西部地区脱贫人口内生动力的特征变化、治理实践与巩固拓展路径[J].华南师范大学学报(社会科学版),2022(3):5-15.
[18]周迪,陈明成,邱铭坚.脱贫群体的内生动力与返贫风险——来自广东省相对贫困村的微观证据[J].财经研究,2022,48(8):48-62.
[19]O'BRIEN K L,WOLF J.A values-based approach to vulnerability and adaptation to climate change[J].Wiley interdisciplinary reviews:climate change,2010,1(2):232-242.
[20]尚海洋,宋妮妮.返贫风险、生计抵御力与规避策略实践——祁连山国家级自然保护区内8县的调查与分析[J].干旱区地理,2021,44(6):1784-1795.
[21]叶文丽,王银,闵典,等.生态脆弱区农户生计恢复力与多维贫困脱钩关系时空演变规律——以陕西省佳县为例[J].干旱区资源与环境,2021,35(10):7-15.
[22]胡世文,曹亚雄.脱贫人口返贫风险监测:机制设置、维度聚焦与实现路径[J].西北农林科技大学学报(社会科学版),2021,21(1):29-38.
[23]包乌兰托亚,马龙波,吴琼.林业生态扶贫效率评价研究——基于中国22个省份的实证分析[J].林业经济,2022,44(5):77-96.
[24]郑瑞强,曹国庆.脱贫人口返贫:影响因素、作用机制与风险控制[J].农林经济管理学报,2016,15(6):619-624.
[25]胡原,曾维忠.深度贫困地区何以稳定脱贫?——基于可持续生计分析框架的现实思考[J].当代经济管理,2019,41(12):7-12.
[26]李金叶,陈艳.深度贫困地区农户多维返贫测度与分解研究[J].干旱区资源与环境,2020,34(9):60-65.
[27]杨斌,王占岐,胡学东.基于改进可拓物元模型的土地整治项目绩效评价及影响因素分析[J].中国土地科学,2018,32(7):66-73.
[28]马慧敏,贾丽平.新发展格局下中非农业合作风险评价与合作对策研究[J].世界农业,2022(9):40-52.
[29]舒畅,刘凯,刘士磊.基于多级可拓PPP模式综合管廊融资风险综合评价[J].土木工程与管理学报,2020,37(5):115-121.
[30]马维海,曾繁慧.基于F-AHP和物元模型的水利PPP项目风险研究[J].数学的实践与认识,2019,49(19):80-90.
[31]孙威,韦善阳,田筱,等.贵州少数民族村寨火灾风险综合评价[J].中国安全科学学报,2020,30(10):126-133.
[32]高远东,李华龙,马辰威.农户防范返贫:应该更关注人力资本还是社会资本?[J].西北农林科技大学学报(社会科学版),2022,22(4):135-143.
[33]李天芳.我国贫困地区循环经济发展的现实困境与创新策略——以陕南为例[J].生态经济,2020,36(10):78-84.

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Last Update: 2023-05-20