摩尔多瓦共和国甜菜产量预测

A. Machidon
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引用次数: 0

摘要

在过去的十年里,摩尔多瓦共和国(RM)的甜菜产量大幅下降。世界和摩尔多瓦的糖消费量正在增加,因此使甜菜成为糖生产的重要作物。甜菜生产作为主要工业作物之一,在收入中占有很大份额,对该国的制造业产生影响。基于作物意义,本研究的范围为甜菜产量预测。计算了该地区5年的甜菜产量(Yt)。这项研究是在国家统计局提供的数据的帮助下进行的。通过运行6个时间序列模型来寻找Yt预测的最佳解。其中三个模型被认为是最合适的。这三种方法分别是:指数函数法、二次函数法和霍尔特法。AIC(赤池信息准则)、SBC(施瓦茨贝叶斯准则)和R2(决定系数)解释了Holt方法中77.5%的数据对Yt预测是最优的。因此,预测是基于霍尔特的时间序列趋势方法。因此,发现到2022年,Yt将减少约1.5万吨。然而,由于数据是基于过去的假设,甜菜产量仍有希望增加。平均产量也是如此,目前该国的平均产量比欧盟国家低两倍。
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The Sugar Beet Production Forecast in the Republic of Moldova
Abstract The production of the sugar beet in the Republic of Moldova (RM) in the last ten years decreased considerably. The world and Moldovan sugar consumption is increasing, therefore making sugar beet an important crop for sugar production. Sugar beet production, as one of the main industrial crops with a significant share in earnings, has an impact on the manufacturing sector of the country. Based on the crop significance, the scope of this research is to forecast the sugar beet production. Five years of forecast were computed for sugar beet production (Yt) in the RM. The research was conducted by the help of data provided by the National Bureau of Statistics. Six time series models were run to find the best solution for Yt forecast. Three of the models were considered the most appropriate. These are: Exponential function trend, Quadratic function trend and Holt’s method. The AIC (Akaike Information Criterion), SBC (Schwarz Bayesian Criterion) and R2 (coefficient of determination) explained that 77,5% of data showed to be optimal for Yt forecast in Holt’s method. As a result, the forecast was based on Holt’s methodology for time series with trend. Consequently, it was found that Yt will decrease by approximately 15 thousand tonnes by 2022. However, as the data is based on past assumptions, there still exists hope that the production of sugar beet will increase. The same is considered for the average yield, which at the moment is twice lower than in the European Union countries.
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