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从典型相关分析洞悉我国粮食综合生产能力
引用本文:谢琼,王雅鹏.从典型相关分析洞悉我国粮食综合生产能力[J].数理统计与管理,2009,28(6).
作者姓名:谢琼  王雅鹏
作者单位:华中农业大学经济管理学院,湖北,武汉,430070
摘    要:在全球粮食危机的背景下,笔者试图对我国粮食综合生产能力进行解剖洞悉。将粮食综合生产能力分解为土地产出能力、劳动产出能力和资本产出能力3项形成"产出组",同时围绕土地、劳动、资本、技术、制度五大要素,利用可以直接量化和间接量化的13项指标形成"影响因素组",利用13个粮食主产区2000-2006年的数据,采取典型相关分析方法对两组指标进行分析,结果显示土地产出能力和劳动产出能力相对比较突出,而资本产出能力却有待发掘;对粮食综合生产能力最具影响力的因素是人均耕地、劳动力受教育情况,最不具影响力的因素是金融资源支持度。

关 键 词:粮食综合生产能力  主产区  典型相关分析

China's Comprehensive Grain Production Capacity Discernment Based on Canonical Correlation Analysis
XIE Qiong,WANG Ya-peng.China's Comprehensive Grain Production Capacity Discernment Based on Canonical Correlation Analysis[J].Application of Statistics and Management,2009,28(6).
Authors:XIE Qiong  WANG Ya-peng
Abstract:In the background of the global food crisis,the authors tried to discern China's comprehensive grain production capacity(CGPC).The CGPC was disassembled into land production capacity,labor production capacity and capital production capacity.The three capacities formed "output group".At the same time,the authors used 13 indexes to form "factors group",which based on land,labor,capital,technology,and institution.Using the data of 13 major grain-producing areas from 2000 to 2006,the authors processed the two groups with the canonical correlation analysis method.The results showed that the land and labor output capacities were relatively conspicuous,but the capital output capability need further exploitation.The most influential factors of "factors group" were the per capita arable land and labor education,the worst influential factor was the support of financial resources.
Keywords:comprehensive grain production capability (CGPC)  major grain-producing areas  canonical correlation analysis
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