摘要
目前农作物区域产量保险风险区划相关研究中,大多是选取几个主导指标,然后使用聚类分析进行划分。若指标更全面、数量更多且类别丰富,则不适宜直接进行聚类。本文以湖北水稻为例,选取气候、灾害、地形、水利、产量等6类共12个指标,联合运用因子分析和聚类分析,划分湖北中稻县域产量保险风险区划,效果较好。实证结果表明,鄂西北风险较高,鄂东南和鄂西南风险中等,其他地区风险较低。
Most of current research on risk zoning of county yield crop insurance is carried out through selecting several main indices and then classifying them by fuzzy clustering method. Actually, the fuzzy clustering method is not suitable if there are many and various indices. With rice production in Hubei Province as the example, the article selects twelve indices, which are classified into six categories, such as climate, agricultural disasters, topography and water resources facilities and output. It makes risk zoning of county yield mid-season rice insurance of Hubei Province by factor analysis method and fuzzy clustering method. The empirical result suggests that yield risk of mid-season rice production in western and northern Hubei Province is high, that in southeastern and southwestern Hubei Province is intermediate, and that in rest districts of Hubei Province is low.
出处
《生态经济》
CSSCI
北大核心
2013年第11期113-115,共3页
Ecological Economy
基金
教育部人文社会科学青年基金(10YJC790147)
关键词
农业保险
区域产量保险
风险区划
agricultural insurance
area yield crop insurance
risk zoning
