摘要
通过分析明确影响粮食产量的主要因素,使用2011-2013年河南省各地区相关数据的均值,通过主成分分析法求出分析影响河南省粮食产量的主成分,达到降低影响因素数量的目的。通过线性回归找到分析粮食产量和主成分之间的量化关系,进一步求出各影响因素对粮食产量的边际影响,以分析现在河南粮食生产的投入状况和经济效益,并提出改进农业生产的政策建议。
This article analyzes the main factors influencing the comprehensive productivity of grain by means of principal component analysis( PCA) to spot the principal components,using the data in various areas of Henan Province from 2011 to 2013 so as to achieve the purpose of reducing the number of influence factors. In this paper,the quantitative relationship between grain yield and principal components is found based on linear regression to find out the marginal impact of various influence factors on grain productivity so that analysis can be conducted of the current input status and economic benefits of grain production in Henan Province. Meanwhile,relevant policy is put forward.
出处
《河南工业大学学报(社会科学版)》
2016年第1期1-6,共6页
Journal of Henan University of Technology:Social Science Edition
基金
2014年河南省高等学校哲学社会科学研究"三重"重大项目(专项)(2014-SZZD-03)
关键词
河南省
粮食综合生产能力
主成分分析法
回归分析
Henan Province
the comprehensive productivity of grain
principal component analysis
regression analysis