An analysis of area and production growth rate along with price forecasting of major pulses in Bangladesh

Md. Mahfuzul Hasan, Nazia Tabassum, Mohammod Kamruj Jaman Bhuiyan, Md Akhtarul Alam, Abu Hayat Md. Saiful Islam, Md. Asraf Mahmud Hasif
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Abstract

Pulses are the most significant crops in the world, as well as in Bangladesh, for their commer-cial and nutritional importance. The study was carried out to determine the rate of expansion in area and production for several types of pulses such as Mosur, Mung, Mashkalai, Gram, and Khesari in Bangladesh, as well as to anticipate wholesale prices for those pulses. Secondary data from the Bangladesh Bureau of Statistics (BBS) and the Department of Agricultural Marketing were used in this study. Following a diagnostic check, such as R2, Adjusted R2, RMSE, AIC, BIC, MAE, and MAPPE, it was discovered that the Cubic growth model was the best for specified pulses. The data over the entire time revealed that total output in the area rose in the case of all pulses. Mosur and Mung had positive average production growth rates of 2.02 and 6.919 percent, respectively. Mashkalai, Gram, and Khesari experienced negative growth rates of -0.541, -8.894, and -0.854 percent, respectively. After computing the average percentage change for Area growth rate Mosur, Mung, and Mashkalai showed positive growth rates of 1.229, 4.631, and 1.152 percent, respectively. In contrast, Gram and Khesari both had negative average values of -7.719 and -1.987 percent. This study applied the ARIMA (0,1,0) (1,0,1) model for Mosur, ARIMA (0,1,2) model for Mung, ARIMA (2,1,2) model for Mashkalai, ARIMA (2,1,4) model for Gram, and ARIMA (0,1,0) model for Khesari since those models passed the diagnostic test. Forecasting findings revealed that Mosur, Gram, and Khesari wholesale prices would be marginally modified, while Mung and Mashkalai wholesale prices would be raised in 2025. Thus, analyzing the growth rates of area and output of key pulses may help farmers allocate their land more wisely and price forecasts will help farmers in identifying the best crops for their production, which will improve the output of these crops in Bangladesh.
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孟加拉国主要豆类的面积和产量增长率分析及价格预测
豆类是世界上最重要的作物,在孟加拉国也是如此,具有重要的商业和营养价值。本研究旨在确定孟加拉国 Mosur、Mung、Mashkalai、Gram 和 Khesari 等几种豆类的面积和产量扩张速度,并预测这些豆类的批发价格。本研究使用了孟加拉国统计局和农业市场部提供的二手数据。经过 R2、调整后 R2、RMSE、AIC、BIC、MAE 和 MAPPE 等诊断检查,发现立方增长模型最适合特定豆类。整个期间的数据显示,该地区所有豆类的总产量都有所上升。莫苏尔豆和绿豆的平均产量增长率分别为 2.02% 和 6.919%。Mashkalai、Gram 和 Khesari 的增长率分别为-0.541%、-8.894%和-0.854%。在计算地区增长率的平均百分比变化后,莫苏尔、蒙和马什卡莱的增长率分别为 1.229%、4.631% 和 1.152%。相比之下,Gram 和 Khesari 的平均值均为负值,分别为-7.719%和-1.987%。本研究对莫苏尔采用了 ARIMA (0,1,0) (1,0,1) 模型,对蒙采用了 ARIMA (0,1,2) 模型,对马什卡莱采用了 ARIMA (2,1,2)模型,对格拉姆采用了 ARIMA (2,1,4)模型,对克萨里采用了 ARIMA (0,1,0)模型,因为这些模型都通过了诊断测试。预测结果显示,2025 年莫苏尔、格拉姆和克沙里的批发价格将略有调整,而蒙和马什卡莱的批发价格将有所提高。因此,分析主要豆类的面积和产量增长率有助于农民更合理地分配土地,而价格预测则有助于农民确定最适合其生产的作物,从而提高孟加拉国这些作物的产量。
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