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Impacts of Climate Variables on Residential Water Consumption in the Czech Republic

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Listed:
  • Lenka Slavíková
  • Vítězslav Malý
  • Michael Rost
  • Lubomír Petružela
  • Ondřej Vojáček

Abstract

The paper investigates whether there is a statistically significant impact of short-term climate variables (specifically air temperature and rainfall) on residential water consumption at two selected case sites in the Czech Republic. The analysis is based on a unique time series of daily data from 2004–2009. The statistical methods used are CART methodology and a decomposition of these time series based on a locally weighted regression method. Apart from the data analysis results, the investigation raises several methodological questions regarding the use of daily data and the scope of analysis based on such data sets. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Lenka Slavíková & Vítězslav Malý & Michael Rost & Lubomír Petružela & Ondřej Vojáček, 2013. "Impacts of Climate Variables on Residential Water Consumption in the Czech Republic," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 365-379, January.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:2:p:365-379
    DOI: 10.1007/s11269-012-0191-1
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    References listed on IDEAS

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    1. Junying Chu & Can Wang & Jining Chen & Hao Wang, 2009. "Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3267-3295, December.
    2. Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
    3. Thomas Berger & Regina Birner & Nancy Mccarthy & JosÉ DíAz & Heidi Wittmer, 2007. "Capturing the complexity of water uses and water users within a multi-agent framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 129-148, January.
    4. Michael L. Nieswiadomy & David J. Molina, 1989. "Comparing Residential Water Demand Estimates under Decreasing and Increasing Block Rates Using Household Data," Land Economics, University of Wisconsin Press, vol. 65(3), pages 280-289.
    5. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    6. Renwick, Mary E. & Green, Richard D., 2000. "Do Residential Water Demand Side Management Policies Measure Up? An Analysis of Eight California Water Agencies," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 37-55, July.
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    Cited by:

    1. Md Haque & Ataur Rahman & Dharma Hagare & Golam Kibria, 2014. "Probabilistic Water Demand Forecasting Using Projected Climatic Data for Blue Mountains Water Supply System in Australia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1959-1971, May.
    2. Diana Fiorillo & Zoran Kapelan & Maria Xenochristou & Francesco De Paola & Maurizio Giugni, 2021. "Assessing the Impact of Climate Change on Future Water Demand using Weather Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1449-1462, March.

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