摘要
基于多维度测度框架,利用8 468份调查问卷数据对黑龙江8个省级贫困县的脱贫质量进行评价。结果表明:(1)脱贫质量包括区域脱贫质量和人口脱贫质量,主要受减贫程度、经济状况、配套设施、收入水平和政策入户等5个方面因素的制约。(2) 8个县的脱贫质量总体情况较好,均达中等及以上水平。整体脱贫质量由高到低依次为巴彦、杜蒙、绥棱、依安、克山、勃利、木兰和孙吴县。(3)区域脱贫质量比人口脱贫质量相对滞后,配套设施、收入水平、政策入户和减贫程度方面发展较好,经济状况方面则相对不够理想。(4)当前制约脱贫质量的主要问题包括:县域经济发展较为落后,村集体收入增长乏力、债务较高,公共服务设施不完善等。
Based on the multi-dimensional measurement framework, using 8 468 surveys data to evaluate the poverty alleviation quality of 8 provincial poor counties in Heilongjiang Province. The results show that:1) The quality of poverty alleviation includes the quality of regional poverty alleviation and population poverty alleviation, which is mainly restricted by the five factors: poverty reduction, economic conditions, supporting facilities, income levels and policy households. 2) The overall quality of poverty alleviation in the 8 counties was good, all of which reached medium and above. The overall quality of poverty alleviation in the eight counties was Bayan, Dumeng, Suiling, Yi’an, Keshan, Boli, Mulan and Sunwu counties in descending order.3) The quality of regional poverty alleviation is relatively lagging behind that of the population. The supporting facilities, income level, policy households, and degree of poverty reduction have developed well, but the economic situation is relatively unsatisfactory. 4) The main problems currently restricting the quality of poverty alleviation include the following aspects: Backward economic development in the county area, weak growth of village collective income, high debt, and inadequate public service facilities.
作者
杜国明
刘美
薛濡壕
Du Guoming;Liu Mei;Xue Ruhao(College of Public Administration and Law,Northeast Agricultural University,Harbin 150030,Heilongjiang,China;College of Economics and Management,Northeast Agricultural University,Harbin 150030,Heilongjiang,China)
出处
《地理科学》
CSSCI
CSCD
北大核心
2021年第7期1227-1236,共10页
Scientia Geographica Sinica
基金
国家社会科学基金重点项目(18AJY016)
黑龙江省博士后科研启动金项目(LBH-Q17018)资助。
关键词
多维测度框架
区域脱贫
人口脱贫
脱贫质量
贫困县
multi-dimensional measurement framework
poverty alleviation of regional
poverty alleviation of population
poverty alleviation quantity
poor county