机构地区: 中国农业科学院农业信息研究所,北京100081
出 处: 《中国食物与营养》 2017年第8期20-24,共5页
摘 要: 基于2015年陕西、云南、贵州3省6县农户实地调查数据,采用期望贫困的脆弱性(VEP)研究方法,运用FGLS估计方法测算农户的食物安全脆弱性,并用Probit模型分析影响农户食物安全脆弱性的因素。经计算,样本户中具有高度脆弱性的有23户、占样本数的1.7%,其中食物不安全户16户、食物安全户7户。比较不同脆弱性与不同食物安全水平农户特征发现,高脆弱性且食物不安全农户各项情况均最差,进而通过影响因素分析得出,户主婚姻状况、家庭人口数、生病数、财富分组和食物消费得分对农户高脆弱性有显著影响。据此提出提高社会保障水平、增加卫生医疗机构、提高农户收入、改善食物消费结构等建议。 Based on field survey data of 6 counties in Shaanxi,Yunnan,Guizhou provinces in 2015,using VEP,FGLS and probit method,the paper measured the food security vulnerability of households,and identified who had high vulnerability and why they had high vulnerability. The results showed that there were 23 households have high vulnerability,accounting for 1. 7% of sample farmers,among which 16 were food insecure households,7 were food secure households. By comparing the characteristic of households in different groups,we found that the characteristic of households in high vulnerability and food insecure group were the worst. Then using probit model we found marital,household size, ill number, wealth group and food security score had significant effect on households ' high vulnerability. Accordingly we put forward suggestions including improving the ability of social security,increasing farmers' income and improving their food consumption structure.