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

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  • Keivan Karimlou

    (Shahid Beheshti University)

  • Nemat Hassani

    (Shahid Beheshti University)

  • Abdollah Rashidi Mehrabadi

    (Shahid Beheshti University)

  • Mohammad Reza Nazari

    (Shahid Beheshti University)

Abstract

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.

Suggested Citation

  • Keivan Karimlou & Nemat Hassani & Abdollah Rashidi Mehrabadi & Mohammad Reza Nazari, 2019. "Calculating Price Elasticity of Water Demand Using Gene Expression Programming Based on Economic, Social and Meteorological Variables," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4171-4188, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:12:d:10.1007_s11269-019-02353-1
    DOI: 10.1007/s11269-019-02353-1
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    References listed on IDEAS

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    1. Jean-Daniel Rinaudo & Noémie Neverre & Marielle Montginoul, 2012. "Simulating the Impact of Pricing Policies on Residential Water Demand: A Southern France Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 2057-2068, May.
    2. Klaiber, H. Allen & Smith, V. Kerry & Kaminsky, Michael & Strong, Aaron, 2010. "Estimating the Price Elasticity of Demand for Water with Quasi Experimental Methods," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61039, Agricultural and Applied Economics Association.
    3. Alexandros Polycarpou & Theodoros Zachariadis, 2013. "An Econometric Analysis of Residential Water Demand in Cyprus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 309-317, January.
    4. Guy Garrod & Kenneth G. Willis, 1999. "Economic Valuation of the Environment," Books, Edward Elgar Publishing, number 1368.
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    Cited by:

    1. Xiangwen Kong & Chengyan Yue & Eric Watkins & Mike Barnes & Yufeng Lai, 2023. "Investigating the Effectiveness of Irrigation Restriction Length on Water Use Behavior," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 251-268, January.
    2. Hui Wang & Dave Bracciano & Tirusew Asefa, 2020. "Evaluation of Water Saving Potential for Short-Term Water Demand Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3317-3330, August.

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