摘要
种植业是农业的基石,优化种植业生产对我国尤为重要。弄清影响种植业收入的因素,能为优化种植业生产提供参考。运用1995—2014年安徽省种植业统计数据,通过建立多元回归模型来探究部分种植业生产因素对种植业收入的影响。研究结果表明,种植业收入与农业机械总动力呈正相关,与农业播种面积呈负相关,与农用化肥施用折纯量存在较弱的负相关性,而与有效灌溉面积则相关性很弱。
Planting industry is the cornerstone of agriculture, and optimization of planting production is particularly important to our country. To find out the factors affecting the income of planting industry can provide reference for optimizing the production of planting industry. Based on the statistical data of planting industry in Anhui province from 1995 to 2014, this paper establishes a multiple regression model to explore the influence of some factors on the income of planting industry. The results show that there is a positive correlation between planting income and the total power of agricultural machinery, a negative correlation between planting income and the area of agricultural sowing, a weak negative correlation between planting income and the amount of pure fertilizer application, and a weak correlation between planting income and the area of effective irrigation.
作者
林胜
LIN Sheng(Hefei Technology College, Chaohu 238000, Chin)
出处
《辽宁工业大学学报(自然科学版)》
2018年第2期136-140,共5页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
2015年度安徽高校自然科学研究项目(SKJ2015b02)
关键词
种植业收入
相关性
多元回归
planting income
relevance
multiple regression