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基于多元回归和灰色关联的粮食种植面积影响因素分析
Influencing Factors Analysis of Grain Planting Area Based on Multiple Regression and Grey Correlation
【摘要】 本文选取影响粮食种植面积的农业劳动力人口、粮食进出口贸易、农民受教育程度、城乡收入差距、家庭负担等多项指标,运用多元回归分析方法,构建了陕西省小麦、玉米种植面积的数学模型,得到了种植面积与各指标的线性关系。然后,使用灰色关联度分析方法计算各指标对种植面积的影响程度,根据关联度的大小,得到各指标重要性排序,该结果与种植面积模型反应的各因素的相关关系相同,说明本文建立的指标体系具有合理性。
【Abstract】 This paper selects some variables to build mathematical models about planting area of wheat and corn in Shaanxi province by using multiple regression method. The result from this model shows that there is a linear relationship between planting area and chosen variables. And those selected variables are: the agricultural labor that have influence on the cereal planting area, the food import and export trade, the education background of farmers, the income gap between urban and rural area and family burden. Then, influence degree of those variables to planting area will be calculated by means of gray correlation analyzing method. The result from this model is the same as its from multiple regression model and also demonstrates it is able to beranked. That is, those variables are proper and reasonable to be selected and analyzed in the paper.
【Key words】 multiple regression analysis; grey relational grade analysis; planting area;
- 【文献出处】 科技促进发展 ,Science & Technology for Development , 编辑部邮箱 ,2019年03期
- 【分类号】F326.11
- 【被引频次】4
- 【下载频次】442