湖北省粮食产量影响因素分析─基于主成分回归  

Analysis of Factors Influencing Grain Yield in Hubei Province─Based on Principal Component Regression

作　　者：舒服华[1] SHU Fuhua(Wuhan University of Technology,Wuhan Hubei 430070)

机构地区：[1]武汉理工大学,湖北武汉430070

出　　处：《陕西国防职教研究》2024年第3期15-19,共5页Shaanxi Guofang Vocational Education Research

摘　　要：由于湖北省粮食播种面积、高标准农田数量、耕地有效灌溉面积、农业生产机械化率数据之间存在多重共线性,分析其对湖北省粮食产量影响时,运用最小二乘法估计参数容易失真而缺乏解释性。因此,利用能够解决多重共线性问题的主成分回归来分析粮食播种面积、高标准农田数量、耕地有效灌溉面积、农业生产机械化率对湖北省粮食产量影响。回归的参数客观可靠,真实有效,通过对解释变量的释读,结果发现与湖北省粮食生产的实现情况基本吻合。Due to the multidisciplinary between the data of grain sown area,the quantity of high-standard farmland,the effective irrigated area of cultivated land and the mechanization rate of agricultural production in Hubei Province,when analyzing the impact of the data on grain output in Hubei Province,the least squares method is used to estimate the parameters and lacks interoperability.Therefore,the principal component regression that can solve the problem of multiple collinearity is used to analyze the sown area of grain,the number of high-standard farmland,the effective irrigation area of cultivated land and the mechanization rate of agricultural production on the grain yield in Hubei Province.The parameters of the regression are objective and reliable,true and effective.Through the interpretation of the explanatory variables,the results are found to be basically consistent with the realization of grain production in Hubei Province.

关 键 词：湖北 粮食产量 影响因素 共线性 主成分回归 

分 类 号：F327[经济管理—产业经济]