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农业机械总动力变化影响因素的灰色关联分析
引用本文:郑文钟,应霞芳.农业机械总动力变化影响因素的灰色关联分析[J].农机化研究,2007(12):9-11.
作者姓名:郑文钟  应霞芳
作者单位:浙江大学,生物系统工程系,杭州,310029
摘    要:农机总动力是反映和评价农业机械化水平的一个重要指标.为此,从系统的观点出发,选择农业劳均粮食播种面积、粮食单位面积产量、农业劳均产值和农民年纯收入等4个指标作为影响农机总动力变化的因素,并依据浙江省1981~2003年有关统计数据,利用灰色关联法对影响农机总动力变化的因素进行关联分析.结果表明,粮食单位面积产量和农业劳均粮食播种面积是影响农机总动力变化的最直接因素.

关 键 词:农业工程  农机总动力  关联分析  灰色理论  农业  机械化水平  农机总动力  化影响因素  灰色关联分析  Influencing  Factors  Power  Agricultural  Machinery  Analysis  直接因素  结果  灰色关联法  利用  统计数据  浙江省  变化  纯收入  农民  单位面积产量  粮食播种面积
文章编号:1003-188X(2007)12-0009-03
收稿时间:2007-03-26
修稿时间:2007-03-26

Correlative Degree Analysis between Agricultural Machinery Gross Power and Influencing Factors
ZHENG Wen-zhong,YING Xia-fang.Correlative Degree Analysis between Agricultural Machinery Gross Power and Influencing Factors[J].Journal of Agricultural Mechanization Research,2007(12):9-11.
Authors:ZHENG Wen-zhong  YING Xia-fang
Institution:Dept. of Biosystems Engineering , Zhejiang University, Hangzhou 310029, China
Abstract:Agricultural mechanical total power is an important index for evaluating the level of agricultural mechanization. Four indexes, which include grain planting area per labor, grain output per area, production value per labor and net income per person were chosen as the influencing factors for agricultural mechanical gross power based on systemic analysis. The correlative between the four indexes and the agricultural mechanical gross power was analyzed by gray correlative degree by means of statistics of Zhejiang province from 1981-2003 It can be concluded that grain output per area and grain planting area per labor were the two most important factors.
Keywords:agricultural engineering  agricultural machinery gross power  correlative degree analysis  greytheory
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