IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v133y2017icp99-110.html
   My bibliography  Save this article

Growing into Water Conservation? Decomposing the Drivers of Reduced Water Consumption in Las Vegas, NV

Author

Listed:
  • Brelsford, Christa
  • Abbott, Joshua K.

Abstract

Increasing population and drought have lead to growing concerns about water scarcity across the US despite a long decline in per-capita consumption. To what extent is this decline the result of water policy vs. other exogenous changes? Many municipalities implement multiple water-focused policies simultaneously – while still subject to other exogenous drivers – so it is important to pair policy evaluations with approaches that examine multiple drivers of water use. The importance of water policy, infrastructure change, and broader technological and demographic trends in influencing water demand has not been measured. We demonstrate a novel method for decomposing multiple drivers of consumption using a dataset of neighborhood water consumption, home infrastructure characteristics, and vegetation in Las Vegas. The largest measureable factor driving conservation for Las Vegas as a whole is lower consumption from new homes, while in established neighborhoods it is declining vegetation area. However, factors we measure directly account for only half of the observed consumption decline. This provides indirect evidence that consumption declines coincident with a drought alert, increased water waste enforcement, and other policy responses also played an important role in conservation. An array of approaches directed at both infrastructure and behavior can effectively reduce consumption.

Suggested Citation

  • Brelsford, Christa & Abbott, Joshua K., 2017. "Growing into Water Conservation? Decomposing the Drivers of Reduced Water Consumption in Las Vegas, NV," Ecological Economics, Elsevier, vol. 133(C), pages 99-110.
  • Handle: RePEc:eee:ecolec:v:133:y:2017:i:c:p:99-110
    DOI: 10.1016/j.ecolecon.2016.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800916300180
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2016.10.012?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. Jonah B. Gelbach, 2016. "When Do Covariates Matter? And Which Ones, and How Much?," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 509-543.
    2. Heather E. Campbell & Ryan M. Johnson & Elizabeth Hunt Larson, 2004. "Prices, Devices, People, or Rules: The Relative Effectiveness of Policy Instruments in Water Conservation1," Review of Policy Research, Policy Studies Organization, vol. 21(5), pages 637-662, September.
    3. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    4. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    5. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    6. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Elizabeth Wentz & Patricia Gober, 2007. "Determinants of Small-Area Water Consumption for the City of Phoenix, Arizona," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1849-1863, November.
    9. Castledine, A. & Moeltner, K. & Price, M.K. & Stoddard, S., 2014. "Free to choose: Promoting conservation by relaxing outdoor watering restrictions," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 324-343.
    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. Brelsford, Christa & Abbott, Joshua K., 2021. "How smart are ‘Water Smart Landscapes’?," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    2. 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.
    3. Christa Brelsford & Caterina Bacco, 2018. "Are ‘Water Smart Landscapes’ Contagious? An Epidemic Approach on Networks to Study Peer Effects," Networks and Spatial Economics, Springer, vol. 18(3), pages 577-613, September.
    4. Christa Brelsford & Joshua K. Abbott, 2018. "How Smart Are `Water Smart Landscapes'?," Papers 1803.04593, arXiv.org.
    5. Yuan Lei & Chen Guoping & Wang Jiasheng & Zhao Junsan & Yang Kun, 2022. "A quantitative analysis method for the degree of coupling coordination between drinking water carrying capacity and population spatial aggregation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11392-11423, September.
    6. Christa Brelsford & Caterina De Bacco, 2018. "Are `Water Smart Landscapes' Contagious? An epidemic approach on networks to study peer effects," Papers 1801.10516, arXiv.org.

    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. Arestis, Philip & Gonzalez-Martinez, Ana Rosa, 2016. "Revisiting the accelerator principle in a world of uncertainty: Some empirical evidence," Economic Modelling, Elsevier, vol. 56(C), pages 35-42.
    2. Kai Daniel Schmid & Michael Schmidt, 2012. "EMU and the Renaissance of Sovereign Credit Risk Perception," IAW Discussion Papers 87, Institut für Angewandte Wirtschaftsforschung (IAW).
    3. Miles Parker, 2018. "The Impact of Disasters on Inflation," Economics of Disasters and Climate Change, Springer, vol. 2(1), pages 21-48, April.
    4. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    5. Opoku, Eric Evans Osei & Dogah, Kingsley E. & Aluko, Olufemi Adewale, 2022. "The contribution of human development towards environmental sustainability," Energy Economics, Elsevier, vol. 106(C).
    6. Aykut Lenger, 2016. "The inter-industry employment effects of technological change," Journal of Productivity Analysis, Springer, vol. 46(2), pages 235-248, December.
    7. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
    8. Phetkeo Poumanyvong & Shinji Kaneko & Shobhakar Dhakal, 2012. "Impacts of urbanization on national residential energy use and CO2 emissions: Evidence from low-, middle- and high-income countries," IDEC DP2 Series 2-5, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    9. Jan Kluge & Robert Lehmann, 2013. "Marshall or Jacobs? New insights from an interaction model," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(2), pages 107-133, October.
    10. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
    11. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
    12. Chen, Jong-Rong & Chu, Yun-Peng & Ou, Yi-Pey & Yang, Chih-Hai, 2015. "R&D specialization and manufacturing productivity growth: A cross-country study," Japan and the World Economy, Elsevier, vol. 34, pages 33-43.
    13. Ekonomou, George & Halkos, George, 2023. "Is tourism growth a power of environmental‘de -degradation’? An empirical analysis for Eurozone economic space," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1016-1029.
    14. Zhang, Chuanguo & Zhou, Xiangxue, 2016. "Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 943-951.
    15. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    16. George Halkos & George Ekonomou, 2023. "Can Business and Leisure Tourism Spending Lead to Lower Environmental Degradation Levels? Research on the Eurozone Economic Space," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    17. Kassi, Diby François & Sun, Gang & Ding, Ning & Rathnayake, Dilesha Nawadali & Assamoi, Guy Roland, 2019. "Asymmetry in exchange rate pass-through to consumer prices: Evidence from emerging and developing Asian countries," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 357-372.
    18. Chiroleu-Assouline, Mireille & Fodha, Mouez & Kirat, Yassine, 2020. "Carbon curse in developed countries," Energy Economics, Elsevier, vol. 90(C).
    19. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    20. Albert MILLOGO & Ines TROJETTE & Nicolas PÉRIDY, 2021. "Are government policies efficient to regulate immigration? Evidence from France," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 53, pages 23-49.

    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:eee:ecolec:v:133:y:2017:i:c:p:99-110. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    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.