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吉林省农业机械总动力发展研究—基于主成分分析

崔红艳

农机化研究2016,Vol.38Issue(6):93-97,5.
农机化研究2016,Vol.38Issue(6):93-97,5.

吉林省农业机械总动力发展研究—基于主成分分析

Study on the Development of Total Power of Agricultural Machinery in Jilin Province—Based on Principal Component Analysis

崔红艳1

作者信息

  • 1. 白城师范学院地理科学学院,吉林白城 137000
  • 折叠

摘要

Abstract

As the food great province , it is very crucial to the development of agricultural mechanization in Jilin Province.This paper analyzes the total power of agricultural machinery and the influence factors by principal component analysis method using the relevant data of Jilin Province during 1994-2013 .The multi linear regression model is estab-lished for variable ZY and independent variables by ZX1-ZX9 .In the model , only the rural Engel coefficient and the to-tal power of agricultural machinery is negatively correlated , the rest of the independent variables are positively correlated . The coefficient of per unit area yield of grain is 0.207, and the coefficient of farmers'education level is 0.276, relatively low.And the coefficients of the other independent variables have little difference between 0.34~0.37.Finally, it put forward to strengthen the elements of macro capital support , micro production and technology input in the future in Jilin Province .In addition , it need to strengthen the cultivation of new peasants occupation , to meet the demand for talent and technology of agricultural development in the new period .

关键词

农业机械总动力/主成分分析/回归分析/吉林省

Key words

total power of agricultural machinery/principal component analysis/regression analysis/Jilin Province

分类

农业科技

引用本文复制引用

崔红艳..吉林省农业机械总动力发展研究—基于主成分分析[J].农机化研究,2016,38(6):93-97,5.

基金项目

吉林省教育厅"十二五"社会科学研究重点项目(吉教科文合字[2013]第335 号) (吉教科文合字[2013]第335 号)

农机化研究

OA北大核心

1003-188X

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