IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v21y2007i3p573-589.html
   My bibliography  Save this article

A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal

Author

Listed:
  • M. Babel
  • A. Gupta
  • P. Pradhan

Abstract

Domestic water use/demand is a complex function of socio-economic characteristics, climatic factors and public water policies and strategies. This study therefore develops a model based on the multivariate econometric approach which considers these parameters to forecast and manage the domestic water use/demand. The model applies statistical tools to select suitable demand function and most relevant explanatory variables that have strong relationship with water use/demand. The model applicability is demonstrated with an example of domestic water use in Kathmandu Valley, Nepal. The results indicate that the number of connections, water pricing, public education level, and average annual rainfall are significant variables of domestic water use/demand. The paper further analyzes the effect of length of data series on accuracy of model results. The developed model is used to forecast the water use/demand in the future in the study area. Copyright Springer Science + Business Media, Inc. 2007

Suggested Citation

  • M. Babel & A. Gupta & P. Pradhan, 2007. "A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(3), pages 573-589, March.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:3:p:573-589
    DOI: 10.1007/s11269-006-9030-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-006-9030-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-006-9030-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Graeme Dandy & Tin Nguyen & Carolyn Davies, 1997. "Estimating Residential Water Demand in the Presence of Free Allowances," Land Economics, University of Wisconsin Press, vol. 73(1), pages 125-139.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sara Fontdecaba & Pere Grima & Lluís Marco & Lourdes Rodero & José Sánchez-Espigares & Ignasi Solé & Xavier Tort-Martorell & Dominique Demessence & Victor Martínez De Pablo & Jordi Zubelzu, 2012. "A Methodology to Model Water Demand based on the Identification of Homogenous Client Segments. Application to the City of Barcelona," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(2), pages 499-516, January.
    2. Henrique Monteiro, 2010. "Residential Water Demand in Portugal: checking for efficiency-based justifications for increasing block tariffs," Working Papers Series 1 ercwp0110, ISCTE-IUL, Business Research Unit (BRU-IUL).
    3. N. Graveline & B. Aunay & J. Fusillier & J. Rinaudo, 2014. "Coping with Urban & Agriculture Water Demand Uncertainty in Water Management Plan Design: the Interest of Participatory Scenario Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3075-3093, August.
    4. Dinusha Dharmaratna & Edwyna Harris, 2012. "Estimating Residential Water Demand Using the Stone-Geary Functional Form: The Case of Sri Lanka," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2283-2299, June.
    5. Mohamed Mohamed & Aysha Al-Mualla, 2010. "Water Demand Forecasting in Umm Al-Quwain (UAE) Using the IWR-MAIN Specify Forecasting Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4093-4120, November.
    6. Liangfeng Zou & Yuanyuan Zha & Yuqing Diao & Chi Tang & Wenquan Gu & Dongguo Shao, 2023. "Coupling the Causal Inference and Informer Networks for Short-term Forecasting in Irrigation Water Usage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 427-449, January.
    7. Wang Xiao-jun & Zhang Jian-yun & Shahid Shamsuddin & He Rui-min & Xia Xing-hui & Mou Xin-li, 2015. "Potential impact of climate change on future water demand in Yulin city, Northwest China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(1), pages 1-19, January.
    8. Mahmut Firat & Mehmet Yurdusev & Mustafa Turan, 2009. "Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 617-632, March.
    9. Muhammad Al-Zahrani & Amin Abo-Monasar, 2015. "Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3651-3662, August.
    10. Mukand Babel & Victor Shinde, 2011. "Identifying Prominent Explanatory Variables for Water Demand Prediction Using Artificial Neural Networks: A Case Study of Bangkok," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1653-1676, April.
    11. Subhash Andey & Prakash Kelkar, 2009. "Influence of Intermittent and Continuous Modes of Water Supply on Domestic Water Consumption," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2555-2566, September.
    12. Xiao-Chen Yuan & Yi-Ming Wei & Su-Yan Pan & Ju-Liang Jin, 2014. "Urban Household Water Demand in Beijing by 2020: An Agent-Based Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2967-2980, August.
    13. 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.
    14. Ruwan Danuka Edirisinghe & Shakila Pathirana, 2021. "Reduction potential of potable water consumption at urban households: a case study in Sri Lanka," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13689-13706, September.
    15. Aminou Arouna & Stephan Dabbert, 2010. "Determinants of Domestic Water Use by Rural Households Without Access to Private Improved Water Sources in Benin: A Seemingly Unrelated Tobit Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1381-1398, May.
    16. Negin Ashoori & David A. Dzombak & Mitchell J. Small, 2016. "Modeling the Effects of Conservation, Demographics, Price, and Climate on Urban Water Demand in Los Angeles, California," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5247-5262, November.
    17. Xiao-jun Wang & Jian-yun Zhang & Shamsuddin Shahid & En-hong Guan & Yong-xiang Wu & Juan Gao & Rui-min He, 2016. "Adaptation to climate change impacts on water demand," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(1), pages 81-99, January.
    18. Sholpan Saimova & Gulsim Makenova & Aizhan Skakova & Aitolkyn Moldagaliyeva & Ardak Beisembinova & Zhamilya Berdiyarova & Bagdagul Imanbekova, 2020. "Towards a Low-carbon Economic Sustainable Development: Scenarios and Policies for Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 638-646.
    19. Xiao-Jun Wang & Jian-Yun Zhang & Shamsuddin Shahid & Wei Xie & Chao-Yang Du & Xiao-Chuan Shang & Xu Zhang, 2018. "Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 911-924, April.
    20. Saeed Ghavidelfar & Asaad Y. Shamseldin & Bruce W. Melville, 2017. "A Multi-Scale Analysis of Single-Unit Housing Water Demand Through Integration of Water Consumption, Land Use and Demographic Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2173-2186, May.
    21. Md Mahmudul Haque & Amaury Souza & Ataur Rahman, 2017. "Water Demand Modelling Using Independent Component Regression Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 299-312, January.
    22. Xiao-jun Wang & Jian-yun Zhang & Shahid Shamsuddin & Ru-lin Oyang & Tie-sheng Guan & Jian-guo Xue & Xu Zhang, 2017. "Impacts of climate variability and changes on domestic water use in the Yellow River Basin of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 595-608, April.
    23. Se-Ju Ku & Seung-Hoon Yoo, 2012. "Economic Value of Water in the Korean Manufacturing Industry," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 81-88, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianshi Zhao & Zhongjing Wang & Daoxi Wang & Dangxian Wang, 2009. "Evaluation of Economic and Hydrologic Impacts of Unified Water Flow Regulation in the Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(7), pages 1387-1401, May.
    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. Michael O'Donnell & Robert P. Berrens, 2018. "Understanding Falling Municipal Water Demand in a Small City Dependent on the Declining Ogallala Aquifer: Case Study of Clovis, New Mexico," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-40, October.
    4. Younes Ben Zaied & Marie Estelle Binet, 2015. "Modelling seasonality in residential water demand: the case of Tunisia," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1983-1996, April.
    5. Mark Hoffman & Andrew Worthington & Helen Higgs, 2005. "Modelling residential water demand with fixed volumetric charging in a large urban municipality: The case of Brisbane, Australia," School of Economics and Finance Discussion Papers and Working Papers Series 196, School of Economics and Finance, Queensland University of Technology.
    6. Katrin Millock & Céline Nauges, 2010. "Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors, Environmental Attitudes and Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(4), pages 539-565, August.
    7. Arbues, Fernando & Villanu´a, Inmaculada & Barberán Ortí, Ramón, 2010. "Household size and residential water demand: an empirical approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 1-20.
    8. Fercovic, Juan & Foster, William & Melo, Oscar, 2015. "Residential Water Consumption in Chile: Economic Development and Climate Change," 2015 Conference, August 9-14, 2015, Milan, Italy 211631, International Association of Agricultural Economists.
    9. Younes Ben Zaied & Nidhaleddine Ben Cheikh & Pascal Nguyen, 2017. "Modeling nonlinear water demand : The case of Tunisia," Economics Bulletin, AccessEcon, vol. 37(2), pages 637-644.
    10. Mark Hoffmann & Andrew Worthington & Helen Higgs, 2006. "Urban water demand with fixed volumetric charging in a large municipality: the case of Brisbane, Australia ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(3), pages 347-359, September.
    11. Henrique Monteiro, 2010. "Residential Water Demand in Portugal: checking for efficiency-based justifications for increasing block tariffs," Working Papers Series 1 ercwp0110, ISCTE-IUL, Business Research Unit (BRU-IUL).
    12. Antonio Musolesi & Mario Nosvelli, 2011. "Long-run water demand estimation: habits, adjustment dynamics and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2111-2127.
    13. Roberto Martínez-Espiñeira, 2007. "An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 161-184, May.
    14. Fernando Arbues & Inmaculada Villanua, 2006. "Potential for Pricing Policies in Water Resource Management: Estimation of Urban Residential Water Demand in Zaragoza, Spain," Urban Studies, Urban Studies Journal Limited, vol. 43(13), pages 2421-2442, December.
    15. Shyama Ratnasiri & Clevo Wilson & Wasantha Athukorala & Maria A. Garcia-Valiñas & Benno Torgler & Robert Gifford, 2018. "Effectiveness of two pricing structures on urban water use and conservation: a quasi-experimental investigation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 547-560, July.
    16. Sean Lyons & Joe O’Doherty & Richard Tol, 2010. "Determinants of Water Connection Type and Ownership of Water-Using Appliances in Ireland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 2853-2867, September.
    17. Maria de los Angeles Garcia Valinas, 2006. "Analysing rationing policies: drought and its effects on urban users' welfare (Analysing rationing policies during drought)," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 955-965.
    18. Darío F. Jiménez & Sergio A. Orrego & Felipe A. Vásquez & Roberto D. Ponce, 2017. "Estimating water demand for urban residential use using a discrete-continuous model and disaggregated data at the household level: the case of the city of Manizales, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 153-178, Enero - J.
    19. Andrew C. Worthington & Mark Hoffman, 2008. "An Empirical Survey Of Residential Water Demand Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 842-871, December.
    20. R. Martinez-Espiñeira, 2002. "Residential Water Demand in the Northwest of Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(2), pages 161-187, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:21:y:2007:i:3:p:573-589. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.