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首页> 外文期刊>British Journal of Mathematics & Computer Science >Price Dynamics of Maize in Ghana: An Application of Continuous a€“Time Delay Differential Equations
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Price Dynamics of Maize in Ghana: An Application of Continuous a€“Time Delay Differential Equations

机译:加纳玉米价格动态:连续时滞微分方程的应用

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This paper seeks to study the price dynamics of maize in Ghana, in the context of mathematical modelling using continuous-time cobweb models derived from linear and nonlinear delay differential equations. The stability conditions of two cobweb models: continuous-time linear and nonlinear models are discussed. The data is obtained from the Ministry of Food and Agriculture, Statistical Directorate Kumasi-Ghana, from 1994 to 2013. The models performed on the assumptions that, maize has no equal substitutes and there are no exogenous shocks needed to generate price fluctuations so that market price would be determined by only the available supply in a single market. From the results of the analysis performed on the real economic price and production data using numerical approach, the nonlinear delay differential model (formulated from linear demand and quadratic supply functions) showed oscillations between and around two equilibrium points and would neither converge. This result seems realistic as it appears to reflect real market conditions since an equilibrium price would not be compatible with the prevailing situation of high inflation, food insufficiency and/or producers’ sensitivity towards price. The linear model (formulated from linear demand and linear supply functions) on the other hand showed little oscillations and then converged towards an equilibrium point (zero equilibrium price). However, this seems quite unrealistic. Effects of delay parameter on oscillations are also discussed. It is observed that oscillations (price fluctuations) are suppressed for ≤0.5, using the nonlinear delay equation. This is an indication that price fluctuations are reduced, if and only if, factors affected by time lag, such as the time necessary for increasing supply, buying new inputs, hiring workers or transporting commodities to market centres, building warehouse and reducing effects of natural constraints on crop yields are improved. On the contrary, the linear delay differential equation, for >0.5 or ≤0.5, would still be in stable equilibrium. We draw inferences from this study that researchers should rather use nonlinear models instead of linear models in solving most real-life economic problems to avoid misleading conclusions.
机译:本文力图使用从线性和非线性延迟微分方程导出的连续时间蜘蛛网模型进行数学建模,研究加纳玉米的价格动态。讨论了两种蛛网模型的稳定性条件:连续时间线性模型和非线性模型。该数据是从1994年至2013年从粮食和农业部库马西加纳统计局获得的。这些模型的假设是,玉米没有同等的替代品,也没有产生价格波动的外部冲击,因此市场价格将仅取决于单个市场中的可用供应量。从使用数值方法对实际经济价格和生产数据进行的分析结果来看,非线性延迟差分模型(由线性需求和二次供给函数构成)显示出两个平衡点之间和附近的振荡,并且都不会收敛。该结果似乎很现实,因为它似乎反映了真实的市场状况,因为均衡价格与高通货膨胀,食物不足和/或生产者对价格的敏感性的普遍情况不相容。另一方面,线性模型(由线性需求和线性供给函数构成)几乎没有波动,然后收敛到平衡点(零平衡价格)。但是,这似乎是不现实的。还讨论了延迟参数对振荡的影响。使用非线性延迟方程,可以观察到振荡(价格波动)被抑制为≤0.5。这表明,只有当受时间滞后影响的因素(如增加供应,购买新投入品,雇用工人或将商品运送到市场中心,建造仓库并减少自然影响)所需的时间时,价格波动才会减少。作物产量的限制得到改善。相反,> 0.5或≤0.5的线性延迟微分方程仍将处于稳定平衡状态。我们从这项研究中得出的结论是,在解决大多数现实生活中的经济问题时,研究人员应该使用非线性模型而不是线性模型来避免产生误导性的结论。

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