新疆粮食产量主要影响因子的灰关联熵分析

Gray Correlative Entropy analysis of Main Influencing Factors in Xinjiang Grain Output

为了克服以往粮食产量影响因素灰关联分析存在的局部关联倾向和个性信息损失的缺点,文章提出用灰关联熵分析模型来考察粮食生产的主要影响因子。模型在新疆粮食产量主要影响因子中的分析结果表明:基于灰关联熵的粮食生产主要影响因子分析方法是可行的,分析结果更为合理精确。结果显示:影响新疆粮食产量的前四位因素依次是有效灌溉面积、耕地面积、单产和第一产业劳动力;现阶段影响新疆粮食总产量的主要因素仍然集中在可控资源条件领域,科技因素对新疆粮食增产的作用尚未得到充分发挥。

In order to overcome sectional correlative inclination and individual information loss present with the gray correlative analysis affected by previous grain yield, the thesis advances that gray correlative entropy analysis module is adopted to examine the main influencing factors of grain production. The model analysis of main influencing factors from Xinjiang grain output shows that it is feasible to adopt an analytical method affected by grain production based on gray correlative entropy, with more rational and accurate findings. The result indicates that the top four factors, influencing Xinjiang grain output cover efficient irrigated area, tilled-land area, per-unit yield and primary industrial labor force; main factors of Xinjiang gross grain output at current stage remain focused on controllable resource fields and yet scientific factors fail to make a full play in Xinjiang grain output increase.