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Calculating Price Elasticity of Water Demand Using Gene Expression Programming Based on Economic, Social and Meteorological Variables

机译:基于经济,社会和气象变量的基因表达程序计算需水价格弹性

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摘要

Determining the changing rate of water consumption through altering parameters such as water tariffs can help water companies select appropriate water policies. This paper is intended to find the proper relation between the water price elasticity of demand and some social, economic and climatic variables that are released annually by international organizations like the United Nations Development Program and the World Bank. By using genetic algorithm, different combinations of water price elasticity of demand and variables like gross domestic product, per capita gross domestic product, gross national income, precipitation, human development index, average temperature and household size have been analyzed. It was found that the absolute price elasticity of water demand has positive relationships with precipitation and price of water. It has also been found that the gross national income, average percent of consumers who have secondary education and human development index have a negative relation with the absolute price elasticity of water demand.
机译:通过更改水费等参数来确定用水量的变化率,可以帮助自来水公司选择适当的水政策。本文旨在寻找需求的水价弹性与联合国开发计划署和世界银行等国际组织每年发布的一些社会,经济和气候变量之间的适当关系。通过使用遗传算法,分析了需求的水价弹性与诸如国内生产总值,人均国内生产总值,国民总收入,降水量,人类发展指数,平均温度和家庭规模等变量的不同组合。研究发现,需求的绝对价格弹性与降水量和水价成正比关系。还发现,国民总收入,受过中等教育的消费者的平均百分比和人类发展指数与需水的绝对价格弹性负相关。

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