连片特困地区致贫原因与帮扶策略研究
|
摘要
基于连片特困地区调研数据,运用Logistic回归模型和三支决策模型,针对连片特困地区的贫困治理问题,对致贫原因和帮扶策略的选择进行研究,构建更加准确、有效率的脱贫机制。主要得出以下结论:第一,连片特困地区的致贫原因是由家庭、经济、政策、自然环境等多种因素综合影响的结果;第二,针对贫困家庭和片区各自的脱贫制约,采用对应的帮扶策略更有效率;第三,三支决策模型为帮扶策略的选择提供更好的参考和支撑,为脱贫长效机制的构建提供新思路。
Based on the data gained by surveying several poverty-stricken areas,using logistic regression and three-way decisions models,this paper studies the factors that cause poverty and the choice of supportive measures in order to build a more accurate and efficient mechanism for poverty alleviation. The paper concludes:poverty in contiguous poverty-stricken areas is the result of several influencing factors including family,economy,policy,and natural environment;it is more efficient to adopt corresponding strategies according to different constraints in poverty alleviation for poor families and areas;the three-way decisions model provides a better reference and support for the choice of strategies and a new approach to establishing a long-term mechanism of poverty alleviation efforts.
Based on the data gained by surveying several poverty-stricken areas,using logistic regression and three-way decisions models,this paper studies the factors that cause poverty and the choice of supportive measures in order to build a more accurate and efficient mechanism for poverty alleviation. The paper concludes:poverty in contiguous poverty-stricken areas is the result of several influencing factors including family,economy,policy,and natural environment;it is more efficient to adopt corresponding strategies according to different constraints in poverty alleviation for poor families and areas;the three-way decisions model provides a better reference and support for the choice of strategies and a new approach to establishing a long-term mechanism of poverty alleviation efforts.
引文
[1]刘一明,胡卓玮,赵文吉,王志恒.基于BP神经网络的区域贫困空间特征研究——以武陵山连片特困区为例[J].地球信息科学学报,2015(1).
[2]郑瑞强,徐元刚,施国庆.连片特困区政府减贫行为供需对接障碍与机制优化[J].青海社会科学,2015(3).
[3]中国人民银行郑州中心支行课题组.农村致贫机理与金融扶贫政策研究——基于河南省集中连片特困地区和54个贫困县的调查[J].金融理论与实践,2014(3).
[4]郑瑞强.新型城乡关系益贫机理与连片特困区精准扶贫机制优化研究[J].现代经济探讨,2018(5):100-109.
[5]李民,贾先文.扶贫攻坚背景下连片特困地区农业协同发展路径——以武陵山片区为例[J].经济地理,2016(12).
[6] JALAN J,RAVALLION M. Geographic Poverty Traps:A Micro Econometric Model of Consumption Growth in Rural China[J].Journal of Applied Econometrics,2002(08):329-346.
[7] SEN A. Commodities and Capacities[M]. Amsterdam:North Holland,1985.
[8] SEN A. Development as Freedom[M].New York:Alfred A.Knopf,2000.
[9]曾勇,徐长乐.基于灰色关联的贵州连片特困地区贫困影响因素分析[J].世界地理研究,2017(1).
[10]苏静.空间关联视角下连片特困地区农民收入增长的影响因素分析——基于武陵山区66个县域数据和空间杜宾模型的实证[J].财经理论与实践,2017(06).
[11]贾林瑞,刘彦随,刘继来,等.中国集中连片特困地区贫困户致贫原因诊断及其帮扶需求分析[J].人文地理,2018(1).
[12]钱力,李剑芳,倪修凤.连片特困地区精准扶贫面临的问题及路径优化[J].区域经济评论,2018(4).
[13]张庆红.基于能力贫困理论的新疆连片特困地区主要民族多维贫困分析[J].中国农业资源与区划,2017(12).
[14]徐孝勇,封莎.中国14个集中连片特困地区自我发展能力测算及时空演变分析[J].经济地理,2017(11).
[15]周常春,翟羽佳,车震宇.连片特困区农户多维贫困测度及能力建设研究[J].中国人口·资源与环境,2017(11).
[16]郑长德,单德朋.集中连片特困地区多维贫困测度与时空演进[J].南开学报(哲学社会科学版),2016(3).
[17]孙鲁云,谭斌.自我发展能力剥夺视角下贫困地区多维贫困的测度与分析——以新疆和田地区为例[J].干旱区资源与环境,2018(2).
[18]荣莉.西南连片特困区的农村扶贫模式创新与思考[J].中国农业资源与区划,2015(5).
[19]万君,张琦.区域发展视角下我国连片特困地区精准扶贫及脱贫的思考[J].中国农业大学学报(社会科学版),2016(5).
[20]康江江,宁越敏,魏也华,等.中国集中连片特困地区农民收入的时空演变及影响因素[J].中国人口·资源与环境,2017(11).
[21]王美英.凉山连片特困地区弱势群体的精准脱贫现实困境与对策研究[J].西南民族大学学报(人文社科版),2017(11).
[22]孔令英,郑涛,刘追.集中连片民族特困地区精准扶贫项目实践困境与原因阐释——基于南疆地区S县W村的项目案例[J].农业经济问题,2017(10).
[23] YAO Y. Three-Way Decision:An Interpretation of Rules in Rough Set Theory[M]. Rough Sets and Knowledge Technology. Berlin:Springer-Verlag,2009.
[24] YAO Y. Three-Way Decisions with Probabilistic Rough Sets[J]. Information Sciences,2010,180(3).
[2]郑瑞强,徐元刚,施国庆.连片特困区政府减贫行为供需对接障碍与机制优化[J].青海社会科学,2015(3).
[3]中国人民银行郑州中心支行课题组.农村致贫机理与金融扶贫政策研究——基于河南省集中连片特困地区和54个贫困县的调查[J].金融理论与实践,2014(3).
[4]郑瑞强.新型城乡关系益贫机理与连片特困区精准扶贫机制优化研究[J].现代经济探讨,2018(5):100-109.
[5]李民,贾先文.扶贫攻坚背景下连片特困地区农业协同发展路径——以武陵山片区为例[J].经济地理,2016(12).
[6] JALAN J,RAVALLION M. Geographic Poverty Traps:A Micro Econometric Model of Consumption Growth in Rural China[J].Journal of Applied Econometrics,2002(08):329-346.
[7] SEN A. Commodities and Capacities[M]. Amsterdam:North Holland,1985.
[8] SEN A. Development as Freedom[M].New York:Alfred A.Knopf,2000.
[9]曾勇,徐长乐.基于灰色关联的贵州连片特困地区贫困影响因素分析[J].世界地理研究,2017(1).
[10]苏静.空间关联视角下连片特困地区农民收入增长的影响因素分析——基于武陵山区66个县域数据和空间杜宾模型的实证[J].财经理论与实践,2017(06).
[11]贾林瑞,刘彦随,刘继来,等.中国集中连片特困地区贫困户致贫原因诊断及其帮扶需求分析[J].人文地理,2018(1).
[12]钱力,李剑芳,倪修凤.连片特困地区精准扶贫面临的问题及路径优化[J].区域经济评论,2018(4).
[13]张庆红.基于能力贫困理论的新疆连片特困地区主要民族多维贫困分析[J].中国农业资源与区划,2017(12).
[14]徐孝勇,封莎.中国14个集中连片特困地区自我发展能力测算及时空演变分析[J].经济地理,2017(11).
[15]周常春,翟羽佳,车震宇.连片特困区农户多维贫困测度及能力建设研究[J].中国人口·资源与环境,2017(11).
[16]郑长德,单德朋.集中连片特困地区多维贫困测度与时空演进[J].南开学报(哲学社会科学版),2016(3).
[17]孙鲁云,谭斌.自我发展能力剥夺视角下贫困地区多维贫困的测度与分析——以新疆和田地区为例[J].干旱区资源与环境,2018(2).
[18]荣莉.西南连片特困区的农村扶贫模式创新与思考[J].中国农业资源与区划,2015(5).
[19]万君,张琦.区域发展视角下我国连片特困地区精准扶贫及脱贫的思考[J].中国农业大学学报(社会科学版),2016(5).
[20]康江江,宁越敏,魏也华,等.中国集中连片特困地区农民收入的时空演变及影响因素[J].中国人口·资源与环境,2017(11).
[21]王美英.凉山连片特困地区弱势群体的精准脱贫现实困境与对策研究[J].西南民族大学学报(人文社科版),2017(11).
[22]孔令英,郑涛,刘追.集中连片民族特困地区精准扶贫项目实践困境与原因阐释——基于南疆地区S县W村的项目案例[J].农业经济问题,2017(10).
[23] YAO Y. Three-Way Decision:An Interpretation of Rules in Rough Set Theory[M]. Rough Sets and Knowledge Technology. Berlin:Springer-Verlag,2009.
[24] YAO Y. Three-Way Decisions with Probabilistic Rough Sets[J]. Information Sciences,2010,180(3).