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Water Conservation and Residential Landscapes: Household Preferences, Household Choices

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  • Hurd, Brian H.

Abstract

Communities throughout the Western United States are challenged by tight water supplies and swelling populations. Information is needed to better develop and target municipal water conservation programs. Significant water savings ranging from 35% to 70% are possible from changes in residential landscaping and improved management of outside watering, which often accounts for more than 50% of total residential water use. This study examines landscape choices of homeowners in three cities in New Mexico in order to identify and measure behavioral factors affecting water conservation. Using survey data, landscape choices are analyzed with a mixed logit model that assesses the effects of landscape and homeowner characteristics on choice probabilities. Model coefficients and implied elasticities indicate that water cost, education, and regional culture are significant determinants of landscape choices. In addition, the results suggest moral suasion can also have a positive influence toward water-conserving landscapes.

Suggested Citation

  • Hurd, Brian H., 2006. "Water Conservation and Residential Landscapes: Household Preferences, Household Choices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-20, August.
  • Handle: RePEc:ags:jlaare:8605
    DOI: 10.22004/ag.econ.8605
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    References listed on IDEAS

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    1. Michael L. Nieswiadomy & David J. Molina, 1991. "A Note on Price Perception in Water Demand Models," Land Economics, University of Wisconsin Press, vol. 67(3), pages 352-359.
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    1. Khan, Md. Tajuddin & Kishore, Avinash & Joshi, Pramod Kumar, 2016. "Gender dimensions on farmers’ preferences for direct-seeded rice with drum seeder in India:," IFPRI discussion papers 1550, International Food Policy Research Institute (IFPRI).
    2. Borisova, Tatiana & Useche, Pilar, 2013. "Exploring the effects of extension workshops on household water use behavior," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143792, Southern Agricultural Economics Association.
    3. Minor, Josh & Campbell, Benjamin & Waltz, Clint & Berning, Joshua, 2018. "Water Savings and Return on Investment of a New Drought Resistant Turfgrass," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266602, Southern Agricultural Economics Association.
    4. Borisova, Tatiana & Useche, Pilar, 2013. "Evaluating the Performance of Non-Price Residential Water Conservation Programs Using Quasi-Experiments," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151223, Agricultural and Applied Economics Association.
    5. Arora, Anchal & Bansal, Sangeeta & Ward, Patrick S., 2015. "Do farmers value rice varieties tolerant to droughts and floods? Evidence from a discrete choice experiment in Odisha, India," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204881, Agricultural and Applied Economics Association.
    6. D. Manouseli & B. Anderson & M. Nagarajan, 2018. "Domestic Water Demand During Droughts in Temperate Climates: Synthesising Evidence for an Integrated Framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 433-447, January.
    7. Fan, Yubing & McCann, Laura E., 2015. "Households' Adoption of Drought Tolerant Plants: An Adaptation to Climate Change?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205544, Agricultural and Applied Economics Association.
    8. Tian Kang, 2022. "Construction and Empirical Analysis of Citizens' Water Literacy Evaluation Index System: A Structural Equation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1393-1411, March.
    9. Lillywhite, Jay M. & Simonsen, J., 2008. "Understanding Factors That Influence Breeders to Sell Bulls at Performance Tests," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(3), pages 1-13, December.
    10. Daniel A. Brent, 2016. "Estimating Water Demand Elasticity at the Intensive and Extensive Margin," Departmental Working Papers 2016-06, Department of Economics, Louisiana State University.
    11. Arora, Anchal & Bansal, Sangeeta & Ward, Patrick S., 2015. "Eliciting farmers’ valuation for abiotic stress-tolerant rice in India:," IFPRI discussion papers 1409, International Food Policy Research Institute (IFPRI).
    12. 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.
    13. Fan, Yubing & McCann, Laura & Qin, Hua, 2017. "Households’ Adoption of Drought Tolerant Plants: An Adaptation to Climate Change?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.

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