摘要
粮食消费预测是安排粮食生产、调整粮食种植结构、制定粮食安全和农业可持续发展战略的重要理论依据。利用粮食消费量与时间之间的相关关系 ,采用SPSS程序包进行筛选 ,建立我国食用粮食消费总量的时序预测模型。研究结果表明 ,所建立的三个时序预测模型的拟合度等统计指标高度显著 ,运用所建模型对所获资料进行的内推预测比较准确 ,但外推预测结果因影响因素多 。
Forecasting of grain consumption is important theoretical foundation for arranging grain production,adjusting grain plant structure,making strategy of grain security and agricultural sustainable development.Time series forecasting models of total food-grain consumption in China were selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time. Research results and statistical indexes indicated that the construction of forecasting models are successful, and the forecasting within the data obtained is relatively precise ;however,much depends on the influence of many external factors such as growth rate of population,grain output, per capita consumption etc, as well as test of the time and reality.
出处
《山西农业大学学报（社会科学版）》
2004年第4期317-320,共4页
Journal of Shanxi Agricultural University:Social Science Edition
关键词
粮食消费总量
时序预测
对数时序模型
二次时序模型
幂函数时序模型
Total grain consumption
Time series forecasting
Logarithmic time-series model
Quadratic time-series model
Power time-series model
