文章摘要
Research on the difference of influence factors of grain production in China based on grey combination model
  
DOI:10.16768/j.issn.1004-874X.2018.09.024
Author NameAffiliation
杨卫明,李炳军 河南农业大学信息与管理科学学院河南 郑州 450002 
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Abstract:
      The paper simulates the grain yield from 2009 to 2016 to eliminate the fluctuation by GM(1,1) model, and then calculates and analyzes the grey correlation of the grain production and its influence factors of the main grain production area. It can be seen that the top three influence factors of grain production in Heilongjiang Jilin and Liaoning provinces are total agricultural machinery power, sown area of grain and the yield per unit area; The top three influence factors of grain productionin the Huang-Huai-Hai region and the middle and lower reaches of the Yangtze River are grain sown area, yield per unit area, and agricultural and rural labor force ;The top three influencing factors in grain production in Sichuan province are the yield per unit area, agricultural and rural labor force, and grain sown area;The top three influence factors in Inner Mongolia are total agricultural machinery power, disaster area and total value of agricultural production. From the results of the grey relational analysis, we can see the difference of the influencce factors brought by the regional differences and the similarity of similar geographical regions, which provide a theoretical basis for the formulation of relevant policies in various regions.
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