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Xin, G.X., Yang, C.X., Yang, Q.Y., Li, C.K. and Wei, C.F. (2017) Post-Evaluation of Well-Facilitied Capital Farmland Construction Based on Entropy Weight Method and Improved TOPSIS Model. Transactions of the Chinese Society of Agricultural Engineering, 33, 238-249.

has been cited by the following article:

• TITLE: Analysis of the Influence Factors of Grain Supply-Demand Gap in China

  AUTHORS: Bingjun Li, Weiming Yang

  KEYWORDS: Entropy Method, Grey Correlation Analysis, Demand and Supply Gap, Influence Factors

  JOURNAL NAME: Agricultural Sciences, Vol.9 No.7, July 30, 2018

  ABSTRACT: Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates the correlation degree between the main grain varieties’ supply and demand gap and its influence factors. The results show that sown area and unit yield have the greatest impact on wheat supply and demand gap; per capita disposable income and unit yield have the greatest impact on corn supply and demand gap; per capita disposable income and agricultural mechanization level have the greatest impact on the supply and demand gap of soybean and rice. From the analysis results, we can obtain the difference between the factors affecting the grain supply and demand gap, and provide a certain theoretical basis and new ideas for the balance of grain supply and demand in China.