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Monetary Incentives And Eco-Friendly Residential Landscape Preferences For Florida Friendly Landscaping

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  • Zhang, Xumin
  • Khachatryan, Hayk

Abstract

To mitigate potential impacts from the increasing maintained residential landscapes to the environment, state and local governments and water management organizations are interested in policies that promote resource-efficient landscaping practices by individual homeowners. Incentives including rebates, tax returns, and low rate financing, are common monetary instruments used to promote the adoption of eco-friendly equipment or practices (e.g., water-saving appliances). However, the effects of monetary incentives on homeowners’ preferences for alternative landscapes are less understood. Using discrete choice experimentation, this study investigated homeowners’ preferences for rebate incentive programs and willingness to pay (WTP) for alternative landscape attributes. The results reveal that homeowners are willing to pay a premium for rebate programs, and that the environmental benefit information improves homeowners’ preference and WTP for alternative landscape attributes. Also, we clustered homeowners into low, medium, and high rebate preference groups, which allowed investigating the difference in WTP estimates for alternative landscape attributes. Results estimated by mixed logit in WTP space model revealed that homeowners in high rebate preference group assign higher weights to economic attributes, such as rebate and maintenance, while homeowners in the low rebate preference group give more importance to environmental friendly attributes such as smart irrigation or pollinator friendly habitat. The results offer implications for policy makers as they develop water conservation programs.

Suggested Citation

  • Zhang, Xumin & Khachatryan, Hayk, 2018. "Monetary Incentives And Eco-Friendly Residential Landscape Preferences For Florida Friendly Landscaping," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266684, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea18:266684
    DOI: 10.22004/ag.econ.266684
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    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    2. Hayk Khachatryan & Dong Hee Suh & Guzhen Zhou & Michael Dukes, 2017. "Sustainable Urban Landscaping: Consumer Preferences and Willingness to Pay for Turfgrass Fertilizers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 65(3), pages 385-407, September.
    3. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. David F. Suárez & Youngmi Lee, 2011. "Participation and Policy," Public Management Review, Taylor & Francis Journals, vol. 13(8), pages 1117-1138, November.
    6. Johannes Dahlin & Verena Halbherr & Peter Kurz & Michael Nelles & Carsten Herbes, 2016. "Marketing Green Fertilizers: Insights into Consumer Preferences," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    7. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    8. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
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    Keywords

    Environmental Economics and Policy; Institutional and Behavioral Economics;

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