印度普通稻谷价格预测

A. Darekar, A. Reddy
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引用次数: 18

摘要

水稻是印度重要的粮食作物,也是世界第二大粮食作物。每年约有35%的净种植面积为稻田,约有50%的农民种植水稻。农民对水稻种植面积的决策取决于未来收获期要实现的价格。因此,本文提出了一种预测收获期价格的方法,并将该方法应用于2017-18年丰收期的预测。使用AGMARK收集的2006年1月- 2016年12月水稻月平均价格时间序列数据。采用Box-Jenkins模型对未来水稻价格进行预测。使用R编程软件估计模型参数。通过计算各种拟合优度指标即AIC、BIC和MAPE来检验拟合模型的性能。ARIMA模型是全印度最具代表性的水稻价格预测模型。在丰收季节,稻谷在9月至11月收获。预测显示,在2017-18年收获季节,稻谷的市场价格将在每公制1600 - 2200卢比之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting of Common Paddy Prices in India
Paddy is an important food crop in India and second most in the world. About 35% of net cropped area under paddy and about 50% of the farmers cultivate paddy every year. Farmer’s decision making on acreage under paddy depends on the future prices to be realized during harvest period. Hence this paper presents a methodology to forecast prices during harvest period and applied the method to forecast for the kharif 2017-18. The time series data on monthly average prices of paddy from January, 2006 to December, 2016 collected from AGMARK was used. ARIMA (Box-Jenkins) model was employed to predict the future prices of paddy. Model parameters were estimated using the R programming software. The performance of fitted model was examined by computing various measures of goodness of fit viz., AIC, BIC and MAPE. The ARIMA model was the most representative model for the price forecast of paddy in overall India. In kharif season the paddy is harvested during September – November. The forecast shows that market prices of paddy, would be ruling in the range of Rs. 1,600 – 2,200 per quintal in kharif harvesting season, 2017-18.
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