开展精准扶贫第三方评估的最优化抽样  

On Optimal Sampling of the Third-Party Assessment Work for Targeted Poverty Alleviation

作　　者：时仅 李涛[2] Shi Jin;Li Tao(School of Business and Information,Yunnan Land and Resources Vocational College,Kunming 652501,China;School of Geographical Sciences,Southwest University,Chongqing 400715,China)

机构地区：[1]云南国土资源职业学院工商与信息学院,昆明652501 [2]西南大学地理科学学院,重庆400715

出　　处：《大理大学学报》2018年第11期24-28,共5页Journal of Dali University

基　　金：中央高校基本科研业务费专项资金项目"基于宏观表现和微观特性区域农村贫困时空演进与形成机理研究"(XDJK2017C007)

摘　　要：精准扶贫是"十三五"规划中国家和地方各级政府扶贫工作的重点,将"第三方评估"机制引入精准扶贫是检验脱贫实效的重要手段,有利于统筹脱贫全局,以评促改,科学脱贫。基于精准扶贫第三方评估工作的实践,发现调研中往往缺乏对调查方式及样本量选取的描述,进而造成不必要的人力、物力、财力的浪费。因此,从抽样设计、样本量计算和样本量调整三个方面来探讨最优化抽样,能为今后开展相关评估抽样工作提供可行性借鉴和参考。Targeted poverty Alleviation is the emphasis of state and local governments＂ poverty-relief work of ＂The thirteenth Five- Year Plan＂. Taking ＂Third-Party Assessment＂ into targeted poverty alleviation is an important method to test the actual effect of alleviating poverty. It is helpful to the overall planning of poverty alleviation, to promote reform and alleviate poverty scientifically. Basing on the practice of the third-party assessment work, we find the lack of description of the methods and the amount of samples is not uncommon. It causes much unnecessary waste of human, material and financial resources. Therefore, front sample design, sample size calculation and sample size adjustment to explore optimal sampling can provide reference of feasibility for the future study.

关 键 词：精准扶贫 第三方评估 抽样调查 样本量 

分 类 号：C811[社会学—统计学]