摘要
以河北省136个县级区域为研究对象,通过选取对农业发展具有较大影响的8个指标,利用因子分析和ESDA方法,对该136个县市的农业发展水平进行了分析。结果表明,针对原始指标提取的公因子具有较大的贡献率;各个县市的农业发展水平在空间分布上具有较强的相关性;部分县市农业发展水平在空间分布上集聚效应显著,但在省域范围内分布不均衡。
By choosing 8 indicators having great impact on agricultural development of 136 counties in Hebei province, the agricultural development level of 136 counties was analyzed with factor analysis and ESDA methods. The results showed that the common factor extracted from original indicators had a greater contribution rate. The agricultural development level of various counties had a strong correlation in the spatial distribution. The agricultural development level in some counties had significant impact on the combined effect of the spatial distribution, but was unevenly distributed within the provincial regions.
出处
《湖北农业科学》
北大核心
2014年第2期474-477,487,共5页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(70873032
71373067)
国家重大科技专项子课题(06220136)
关键词
县域
因子分析
农业发展水平
空间差异
ESDA
河北省
county
factor analysis
agricultural development level
spatial difference
ESDA
Hebei province
