Abstract
The Grey Relational Analysis of food production has been established based on the data of grain production in Mingshan County, Sichuan province, collected from 2003 to 2008. According to the Relational Grade, factors that affect the County’s input on grain production and the degree of their influence have been analyzed. The conclusion is that unit grain yield, sown area of grain, and rural labor force is important factors affecting the county’s food production. Thus many advices were proposed, like giving priority to food security, strictly implementing farmland protection system, increasing grain yield through the improvement of per capita output, and improving preferential policies relating to grain production.
Highlights
Food is the most important stuff, and food price is the basis of any price
China’s 2001 white paper on food issue clearly stated that China can supply itself with sufficient food, which is the basic principle for the government to resolve the issue of food security
Attaching great importance to the improvement of comprehensive ability of food production, establishing stable commodity grain bases, setting up food security system according to our situation and the request of socialist market economy, and ensuring the balance of food supply and demand; all these are the basic guidance of solving food security problem, and the overall goal of food security
Summary
Food is the most important stuff, and food price is the basis of any price. Food is taken as a strategic commodity as it largely concerns people’s livelihood. Xiao-song Song and Kai-luo Leng selected food-production-related data of four major grain-producing provinces in China since the reform and opening-up, did regression analysis for the major factors affecting each province’s grain production with econometric software, and drew their conclusions Chang-liang Shi, Zhong-ping wang and Hao Zhou, using the grey correlation and Production function, analyzed the data of grain production in Xinjiang from 1980 to 2009, and figured out the influencing factors and their contribution rate Yu-meng Wang analyzed factors that affect the food production of Hubei province, and used the grey prediction model to conduct trend forecast and correlation analysis of the factors. The author uses the grey relational analysis method to analyze the data of Mingshan county’s food production from 2003 to 2008 and its affecting factors of food production, so as to raise attention to food security and the establishment of food security system. This paper is strived to provide some suggestion to the building of food security system of MingShan County, and set an example for all counties of Ya’an to consider
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