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Price Elasticity of Water Demand in a Small College Town: An Inclusion of System Dynamics Approach for Water Demand Forecast

机译:大学小镇的用水需求价格弹性:系统动力学方法的用水需求预测

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The relationship between water demand and pricing using the price elasticity of water demand in the City of Pullman, Washington, between 2000 and 2006 shows that the current amount of water depletion is not sustainable. Three different economic scenarios were developed by altering variables in regression equations to investigate the influence of individual variables on estimating the final price elasticity of water demand. Single-family households, total residential households, and total population water use of the City of Pullman, Washington were the three different economic scenarios developed for calculating the price elasticity of water demand. The regression results show that the price elasticity of marginal price is inelastic. The exponents for median household income, fixed price, and precipitation had the expected signs in all applied scenarios. An economic model based on the regression equation of price elasticity was developed using a systems dynamic approach. The economic model projected a decline in water demand when the independent variables were assumed to grow linearly over the coming 25 years. When the household size with higher elasticity values was excluded from the regression equation, the developed economic model was able to forecast reasonable water demand. The time series data with exact service connections are recommended to reduce the uncertainty in the computation of the price elasticity of water demand. Further sensitivity analysis is recommended to understand interrelationship of water demand and pricing from the developed economic model using system dynamics approach.
机译:利用2000年至2006年间在华盛顿州铂尔曼市的用水需求价格弹性得出的用水需求与定价之间的关系表明,目前的耗水量是不可持续的。通过改变回归方程中的变量来研究三种不同的经济情景,以研究各个变量对估计最终需求水价弹性的影响。华盛顿普尔曼市的单户家庭,总住户家庭和总人口用水是计算水需求价格弹性的三种不同的经济情景。回归结果表明,边际价格的价格弹性是无弹性的。在所有适用的情况下,家庭收入中位数,固定价格和降水量的指数均具有预期的迹象。利用系统动力学方法,建立了基于价格弹性回归方程的经济模型。当假设自变量在未来25年内呈线性增长时,经济模型预计需水量将下降。当将具有较高弹性值的家庭规模从回归方程中排除时,发达的经济模型能够预测合理的需水量。建议使用具有精确服务连接的时间序列数据,以减少水需求价格弹性计算中的不确定性。建议使用系统动力学方法进行进一步的敏感性分析,以从发达的经济模型中了解水需求和价格之间的相互关系。

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