关键词: 食物安全, 食物当量, 食物需求, 空间相关性

Abstract:

In order to explore the distributional difference of China's food demands in provincial scale and their inner connection, research was made in this article upon the difference of per capita demands in grain ration, grain-consuming animal and grass-consuming animal, and the spatial econometrics method was adopted to assist in the analysis of relation of per capita food demand volume in each province in 2012. The research results showed that:the per capita consuming volume of grain ration maintained a continuous declination and the per capita consuming volume of grain-consuming animal by-products and grass-consuming animal by-products maintained a continuous increase from 1998 to 2013; the per capita consuming volume of grain ration took on an obvious staircase distribution, increasing step-by-step from Northeast China to Southwest China; the per capita consuming volume of grain-consuming animal followed the rule of being small in Central China and being large in North and West China; the per capita consuming volume of grass-consuming animal followed the rule of being more in Western China than in Mid-East China where it's small in Central region and large in North and West regions; the correlation analysis showed that:the per capita consuming volume of grain ration and the per capita consuming volume of grain-consuming animal were of negative correlation, and the per capita consuming volume of grain ration and the per capita consuming volume of grass-consuming animal were of positive correlation; and the spatial correlation analysis showed that:the per capita consuming volumes of such thee food were of prominent negative spatial correlation. It was thus clear that the food demands of each Chinese province were of remarkable difference and regional features. Thereby, to choose different food safety strategy for different regions was an important basis upon which China's food safety is guaranteed and economic development was stabilized.

Key words: Food security, Food equivalent unit, Food demand, Spatial correlation