基于灰色关联度的农机作业水平影响因素分析

Analysis of factors affected the farming level of agricultural mechanization based on the grey correlation degree

运用系统分析方法,选择影响农机作业水平因素的人口和劳动力、耕地状况、人均社会总产值、农机具配套比等4类因素进行分析。同时,依据某地区2000—2004年的相关统计数据,运用灰色关联分析原理和方法,对影响农机作业水平的因素进行了关联分析研究。结果表明,目前影响农机化作业水平的因素依次为人均社会总产值、农机具配套比、耕地状况、人口和劳动力。

In order to improve the fanning level of agricultural machinery, four kinds of factors included the population and the work force, conditions of arable land, gross social production value per capital, matching rate of agricultural implement were used to analyze the factors affected the fanning level of agricultural machinery with the method of systematic analysis. Meanwhile, relative analysis of factors affected fanning level of agricultural machinery was studied with the theory and method of gray correlation degree, according to the relative statistic data of the years 2000 to 2004 in a region. The result indicated that the order of the importance of factors affected fanning level of agricultural machinery was gross social production value per capital, matching rate of agricultural implement, conditions of arable land and the population and the work force.