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机构地区:[1]中南大学商学院,长沙410083
出 处:《统计与决策》2017年第11期111-115,共5页Statistics & Decision
基 金:国家社会科学基金重大项目(13&ZD169)
摘 要:文章基于ARIMA模型对非平稳时间序列良好的短期预测特性,采用该方法对"十三五"期间中国铁矿石消费量与对外依存度进行了模型构建和预测分析,所建模型的拟合效果和预测精度较佳。预测结果表明,"十三五"期间中国铁矿石消费量将趋向于缓慢上升至零增长率的顶点,对外依存度则将在经过高位平台后拐入下降趋势。This paper adopts the ARIMA model, which has a good short-term prediction of non-stationary time series, to make a model and prediction analysis of China' s iron ore consumption and foreign-trade dependence during "the 13th Five-Year Plan" period. The established model has relatively better imitative effect and forecast accuracy. The prediction results show that during "the 13th Five-Year Plan" period, China' s iron ore consumption will slowly rise to the peak with zero growth rate, and that China's iron ore foreign-trade dependence will turn to downtrend after passing a high level platform.
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