摘要
2017年进行的第三次全国农业普查内容涵盖了农业农村经济社会发展的方方面面,普查指标有700多个,复杂程度之高和工作难度之大可以想象.针对于此,本文运用多种多元统计分析的方法,以湘西自治州为例,建立一个不仅能有效、有针对性地反映当地"三农"信息,并且得到简化,能有效减小调查工作量的农业普查评价指标体系.
The third national agricultural census was carried out in 2017,which covered all aspects of agricultural,rural economic and social development.The census involves more than 700 census indicators,thus the complexity and high degree of difficulty can be imagined.In view of this,this article uses a variety of multivariate statistical analysis methods to take the Wuling Mountain Area as an example to establish an agricultural census evaluation index system,which is effective,simplified,and targeted reflection of local information relating to agriculture,rural areas,and rural people,thus can effectively reduce the workload of the investigation.
作者
陈望学
李皓宸
刘雨田
尹丽娜
CHEN Wangxue;LI Haochen;LIU Yutian;YIN Lina(College of Mathematics and Statistics,Jishou University,Jishou 416000,China)
出处
《湖北民族学院学报(自然科学版)》
CAS
2019年第1期59-63,共5页
Journal of Hubei Minzu University(Natural Science Edition)
基金
湖南省大学生研究性学习和创新性实验项目(湘教通[2017]205号)
吉首大学教改项目(2017JSUJGB43)
关键词
多元统计分析
评价指标体系
精准扶贫
multivariate statistical analysis
evaluation index system
targeted poverty alleviation