摘要
数字农业高质量发展的水平决定我国农业农村现代化的状况,也是实现乡村振兴战略的重要举措。为了研究数字农业的发展水平,从数字农业的信息基础、发展环境、人才资源、技术支持、产业效益、绿色发展六个方面构建了指标体系,对2019年31个省的数字农业发展水平运用因子分析与聚类分析进行实证分析。最终从24个指标中提取了四个公因子,将31个省分成五类。结果表明:广东、江苏、山东数字农业发展水平较高,与其他省份存在显著差异,西部地区相对落后。
The level of high-quality development of digital agriculture determines the status of China's agricultural and rural modernization,and is also an important initiative to realize the rural revitalization strategy.In order to study the development level of digital agriculture,an index system was constructed from six aspects of digital agriculture:development environment,information foundation,human resources,technical support,green development,and industrial efficiency,and the development level of digital agriculture in 31 provinces in 2019 was analyzed empirically using factor analysis and cluster analysis.Finally,four common factors were extracted from 24 indicators,and 31 provinces were divided into five categories.The results show that Guangdong,Jiangsu and Shandong have a high level of digital agriculture development,which is significantly different from other provinces,and the western region is relatively backward.
作者
董晓芳
徐金良
DONG Xiaofang;XU Jinliang(School Of Mathematics And Statistics,Hebei University of Economics and Business Shijiazhuang,Hebei 050061)
出处
《现代农业研究》
2022年第11期11-15,共5页
Modern Agriculture Research
基金
河北省高等学校科学技术研究重点项目(项目编号:ZD2022062)
河北省统计科学研究计划项目(项目编号:2021HY12)。
关键词
数字农业
高质量发展
因子分析
聚类分析
digital agriculture
high-quality development
factor analysis
cluster analysis