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Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies

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  • Khachatryan, Hayk
  • Suh, Dong Hee
  • Xu, Wan
  • Useche, Pilar
  • Dukes, Michael D.

Abstract

Urbanization trends, leading to growing irrigated residential landscapes continue to escalate concerns on surface, ground, and drinking water quantity and quality among environmental groups and regulatory agencies. While automated lawn irrigation systems established in urban areas are critical factors affecting water quantity and quality, homeowners’ water use may vary with their preferences for lawn irrigation systems. The choice of an irrigation system is not determined only by local restrictions or policies but also by homeowners’ preferences. Further, individuals’ preferences can be influenced by the availability of product-specific attributes such as evapotranspiration or soil-moisture based controllers (known as smart irrigation controllers). With a focus on single-family home residents in California, Florida, and Texas, the present study uses the discrete choice analysis framework to link smart irrigation attributes (e.g., sensor types, wireless operation, remote control, alert notification) and monetary incentives (e.g., annual water bill savings, rebates) to preferences and willingness-to-pay. Results indicate that homeowners prefer smart irrigation controllers to conventional automated systems, and that savings on annual water bills could be one of the most important features determining adoption of smart irrigation controllers. Controller features such as the type of operation (i.e., wireless/on-site weather station) and system malfunction alert/notification also impacted homeowners’ preferences. The findings provide practical insights into the promotion of smart irrigation controllers that can be integrated with educational campaigns, or advertisements highlighting benefits of smart irrigation technologies. Clearer understanding about homeowners’ preferences could serve as a feedback loop for policy makers and improve water policies at state and local levels.

Suggested Citation

  • Khachatryan, Hayk & Suh, Dong Hee & Xu, Wan & Useche, Pilar & Dukes, Michael D., 2019. "Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies," Land Use Policy, Elsevier, vol. 85(C), pages 33-41.
  • Handle: RePEc:eee:lauspo:v:85:y:2019:i:c:p:33-41
    DOI: 10.1016/j.landusepol.2019.03.014
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    References listed on IDEAS

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    1. McCready, M.S. & Dukes, M.D., 2011. "Landscape irrigation scheduling efficiency and adequacy by various control technologies," Agricultural Water Management, Elsevier, vol. 98(4), pages 697-704, February.
    2. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244.
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    6. Kenneth E. Train & Terry Atherton, 1995. "Rebates, Loans, and Customers' Choice of Appliance Efficiency Level: Combining Stated- and Revealed-Preference Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-70.
    7. Kar H. Lim & Wuyang Hu & Leigh J. Maynard & Ellen Goddard, 2013. "U.S. Consumers’ Preference and Willingness to Pay for Country-of-Origin-Labeled Beef Steak and Food Safety Enhancements," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(1), pages 93-118, March.
    8. McCready, M.S. & Dukes, M.D. & Miller, G.L., 2009. "Water conservation potential of smart irrigation controllers on St. Augustinegrass," Agricultural Water Management, Elsevier, vol. 96(11), pages 1623-1632, November.
    9. François Des Rosiers & Marius Thériault & Yan Kestens & Paul Villeneuve, 2002. "Landscaping and House Values: An Empirical Investigation," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 139-162.
    10. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    11. Anna Alberini, Silvia Banfi, and Celine Ramseier, 2013. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    12. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    13. Nickerson, Cynthia & Ebel, Robert & Borchers, Allison & Carriazo, Fernando, 2011. "Major Uses of Land in the United States, 2007," Economic Information Bulletin 291937, United States Department of Agriculture, Economic Research Service.
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    1. Ortiz, Cristhian A. & Avila-Santamaría, Jorge J. & Martinez-Cruz, Adan L., 2023. "Dairy farmers’ willingness to adopt cleaner production practices for water conservation: A discrete choice experiment in Mejia, Ecuador," Agricultural Water Management, Elsevier, vol. 278(C).
    2. Lim, Chun Hsion & Lim, Steven & How, Bing Shen & Ng, Wendy Pei Qin & Ngan, Sue Lin & Leong, Wei Dong & Lam, Hon Loong, 2021. "A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Linjing Ren & Xiaojun Yang, 2023. "Adoption and shift of water-saving strategies to policy shock: based on social-ecological system analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4015-4037, August.
    4. Khachatryan, Hayk & Rihn, Alicia & Hansen, Gail & Clem, Taylor, 2020. "Landscape Aesthetics and Maintenance Perceptions: Assessing the Relationship between Homeowners’ Visual Attention and Landscape Care Knowledge," Land Use Policy, Elsevier, vol. 95(C).
    5. 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.
    6. Sara Komenda & Martha C. Monroe, 2023. "Clues in the Data: The Role of Education in Adopting Technology That Enhances Sustainable Lifestyle Choices," Sustainability, MDPI, vol. 15(11), pages 1-15, May.

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