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METHOD FOR FORECASTING PRICES AND OTHER ATTRIBUTES OF AGRICULTURAL COMMODITIES

机译:农业商品价格及其他属性的预测方法

摘要

The method and system of the present invention enables the forecasting of agricultural commodity prices and amounts of consumption, production and trade flows across regions, under a variety of supply and demand, trade and domestic policy scenarios and over an at least annual time period. The method employs a multi-component spatial equilibrium function (220) approximating an inter-regional market in agricultural commodities, such as dairy commodities, and enables the setting of trade and domestic policy instruments to enable forecasting under a variety of forecast scenarios. The function (220) further enables the incorporation of intermediate commodities, in addition to primary and processed commodities, to account for the effects of reconstitution technologies on said forecasted values. The method generally comprises creating an inputs database (190) comprising a definition of the regions and forecast scenarios, and a plurality of dairy sector data spanning a number of recent years including commodity prices and amounts of consumption, production and trade flow in the regions; refining the function (250); solving the refined function by maximizing a consumer and a producer surplus net of all transaction costs (300), to generate the forecasts; and, outputting the forecasts to a results database (390). The method may further solve for an optimal amount of intermediate commodities consumed in the making of the final processed commodities by region under an assumption of optimal use to further refine the forecasts (350). The system outputs (370) in the forms of graphs, spreadsheets, maps, or other formats can be delivered electronically through various media.
机译:本发明的方法和系统使得能够在各种供需,贸易和国内政策情况下并且至少在每年的时间段内预测跨区域的农产品价格和消费量,生产和贸易流量。该方法采用近似于农产品(例如乳制品)的区域间市场的多分量空间平衡函数(220),并且使得能够设置贸易和国内政策工具以使得能够在各种预测情形下进行预测。功能(220)还使得除了初级商品和加工商品之外,还可以包括中间商品,以说明重构技术对所述预测值的影响。该方法通常包括创建输入数据库(190),该输入数据库(190)包括区域的定义和预测情景,以及跨越多个近年来的多个乳业部门数据,包括该区域的商品价格以及消费,生产和贸易流量;以及完善功能(250);通过使所有交易成本中的消费者和生产者剩余净额最大化来解决细化的功能,以生成预测;并将预测输出到结果数据库(390)。该方法可以在最佳使用的假设下进一步求解在按区域划分的最终加工商品的制造中消耗的中间商品的最佳量(350)。图表,电子表格,地图或其他格式形式的系统输出(370)可以通过各种媒体以电子方式传递。

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