用Box-Jenkins方法预测加纳精米产量

Nasiru Suleman, S. Sarpong
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引用次数: 25

摘要

加纳对大米日益增长的需求一直是政府和其他利益相关者关注的主要问题。非洲水稻发展联盟(CARD)最近对撒哈拉以南非洲国家在10年内将水稻产量翻一番的担忧,引发了政府实施提高水稻产量的战略。为了满足这一要求,有必要监测和预测该国大米生产的趋势。本研究采用Box-Jenkins方法,利用1960年至2010年的时间序列数据对精米生产进行建模。分析表明,ARIMA(2,1,0)是预测精米产量的最佳模型。尽管使用该模型进行的十年预测显示产量呈上升趋势,但2015年的预测值(28316万吨)不足以与西非稻米主要生产国尼日利亚目前的产量(27万吨)相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Milled Rice Production in Ghana Using Box-Jenkins Approach
The increasing demand for rice in Ghana has been a major concern to the government and other stakeholders. Recent concerns by the coalition for African Rice Development (CARD) to double rice production within ten years in Sub-Saharan countries have triggered the to implement strategies to boost rice production in the government. To fulfill this requirement, there is a need to monitor and forecast trends of rice production in the country. This study employs the Box-Jenkins approach to model milled rice production using time series data from 1960 to 2010. The analysis revealed that ARIMA (2, 1, 0) was the best model for forecasting milled rice production. Although, a ten years forecast with the model shows an increasing trend in production, the forecast value at 2015 (283.16 thousand metric tons) was not good enough to compare with the current production of Nigeria (2700 thousand metric tons), the leading producer of rice of rice in West Africa.
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