基于农机化投入影响因素的灰关联分析

Grey correlation analysis on influence factors of agricultural mechanization investment.

阐述了我国农机化的现状、农机化投入对农机化水平的影响,并应用灰色关联法分析了影响农机化投入的因素依次为农民人均收入、农业劳动力比重、耕地规模、农业产值比重和耕收动力水平.结果表明,在当前条件下,只有通过增加农民收入,加快农业劳动力向非农业劳动力转移速度,实施土地规模经营等办法,才能进一步吸引社会资金,增加农机化投入,促进农业机械化健康发展.

Agricultural mechanization plays a key role in the progress of society and economy. The mechanization degree is influenced by multi-factors and simultaneously has influence on agricultural economy in many aspects. The agricultural mechanization actuality of our country was introduced and the influence of agricultural mechanization investment on mechanization degree was described. In the light of grey correlation analysis, it was found that the factors affecting agricultural mechanization investment were farmer＇s per capita income, agricultural labor force proportion, farming scale, gross agricultural production value, and total power for cultivation and harvest. The results indicated that, under the current condition, these methods, such as increasing farmer＇s income, accelerating the transfer speed of agricultural labor force to non-agricultural labor force, and implementing farming scale, would help to attract social fund, increase agricultural mechanization investment and promote the development of agricultural mechanization.