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。
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.
出处
《农机化研究》
北大核心
2007年第12期9-11,共3页
Journal of Agricultural Mechanization Research
基金
浙江省教育厅资助项目(20061337)
关键词
农业工程
农机总动力
关联分析
灰色理论
agricultural engineering
agricultural machinery gross power
correlative degree analysis
greytheory
作者简介
郑文钟（1967-），男，江西玉山人，副教授。（E-mail）wzzheng@zju．edu．cn。
