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Empirical Analysis on the Influencing Factors of Grain Production in China based on Principal Component Analysis

摘要


With the great attention of the central government and local governments at all levels, China's grain output achieved "eighteen consecutive harvests" in 2021. Based on the existing research, this paper selects 9 variables from 1991 to 2020 to conduct principal component analysis on the influencing factors of China's grain production. According to the general standard that the cumulative variance contribution rate reaches more than 85%, two principal components are extracted from SPSS: the first principal component is the influence factor of technology and power, the second principal component is the factor of natural conditions and human input, and the cumulative contribution rate reaches 94.776%. The score of national grain production capacity calculated by principal component shows that China's grain production capacity has decreased in recent three years. Finally, this paper puts forward some countermeasures and suggestions to promote the stable growth of China's grain output.

參考文獻


Announcement of the National Bureau of statistics on grain production data in 2021 [N]. China Information Daily, 2021-12-07 (001).
Li Linfeng, Li Menggang. Analysis on the main factors affecting China's grain production [J]. China's circulation economy, 2012, 26 (04): 109-115.
Xiao Haifeng, Wang Jiao. Analysis on influencing factors of comprehensive grain production capacity in China [J]. Agricultural technology and economy, 2004 (06): 45-49.
Li Jing. Study on Influencing Factors of grain production in Heilongjiang Province [D]. Northeast Agricultural University, 2014.
Guo Shumin, Ma Shuai, Chen Yinjun. Study on influencing factors of grain production in main grain producing areas in China [J]. Agricultural modernization research, 2007.01-87.

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