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Would County Residents Vote for an Increase in Their Taxes to Conserve Native Habitat and Ecosystem Services? Funding Conservation in Palm Beach County, Florida

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  • Pienaar, Elizabeth F.
  • Soto, José R.
  • Lai, John H.
  • Adams, Damian C.

Abstract

In the 1990s, residents of Palm Beach County, Florida, voted in favor of two bonds to finance the acquisition and restoration of lands of environmental concern. In total, 31,445 acres of native habitat were conserved to create the Natural Areas Program. These lands protect both biodiversity and ecosystem services, including open space amenities, outdoor recreation, and flood protection in urban and peri-urban areas. In 2015, county staff determined that a dedicated source of funding (~$6.4 million per year) is required to maintain these natural areas. These funds would pay for continued revegetation of natural areas, removal of invasive plants, maintenance of recreation infrastructure, parking lots, fences, and signs, the provision of educational materials for visitors, and the monitoring of habitat, plants and animals to maintain ecosystem health. Palm Beach County's Department of Environmental Resources Management asked us to determine what value residents place on the Natural Areas Program and ecosystem services it provides. In 2017, we administered a stated preference choice experiment to residential property owners in Palm Beach County. Taking preference heterogeneity into account, we determined that allowing the natural areas to become degraded would likely reduce the welfare of 82% of respondents. Respondents were heterogeneous in terms of the value they placed on habitat conservation and ecosystem services. Our results suggest that Palm Beach County should hold a referendum on continued financing of the Natural Areas Program.

Suggested Citation

  • Pienaar, Elizabeth F. & Soto, José R. & Lai, John H. & Adams, Damian C., 2019. "Would County Residents Vote for an Increase in Their Taxes to Conserve Native Habitat and Ecosystem Services? Funding Conservation in Palm Beach County, Florida," Ecological Economics, Elsevier, vol. 159(C), pages 24-34.
    • Handle: RePEc:eee:ecolec:v:159:y:2019:i:c:p:24-34
    DOI: 10.1016/j.ecolecon.2019.01.011
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    Cited by:

    1. Deely, John & Hynes, Stephen, 2020. "Preferences for Blue-Green or Grey Infrastructure to Reduce Flood Risk: A Choice Experiment," Working Papers 309506, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    2. Takahiro Tsuge & Yasushi Shoji & Koichi Kuriyama & Ayumi Onuma, 2022. "Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    3. Legg, Peter & Hatton MacDonald, Darla & Bark, Rosalind H. & Tocock, Mark & Tinch, Dugald & Rose, John M., 2020. "Cultural Values, Deep Mining Operations and the Use of Surplus Groundwater for Towns, Landscapes and Jobs," Ecological Economics, Elsevier, vol. 178(C).
    4. Evan Elderbrock & Chris Enright & Kathryn A. Lynch & Alexandra R. Rempel, 2020. "A Guide to Public Green Space Planning for Urban Ecosystem Services," Land, MDPI, vol. 9(10), pages 1-23, October.
    5. Melts, Indrek & Ivask, Mari & Geetha, Mohan & Takeuchi, Kazuhiko & Heinsoo, Katrin, 2019. "Combining bioenergy and nature conservation: An example in wetlands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 293-302.
    6. Zhang, Junze & Yin, Nan & Li, Yan & Yu, Jianping & Zhao, Wenwu & Liu, Yanxu & Fu, Bojie & Wang, Shuai, 2020. "Socioeconomic impacts of a protected area in China: An assessment from rural communities of Qianjiangyuan National Park Pilot," Land Use Policy, Elsevier, vol. 99(C).
    7. G Andrew Stainback & John H Lai & Elizabeth F Pienaar & Damian C Adam & Ruscena Wiederholt & Chloe’ Vorseth, 2020. "Public preferences for ecological indicators used in Everglades restoration," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-23, June.

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    More about this item

    Keywords

    Stated preference choice experiments; Random parameters logit; Latent class analysis; Ecosystem services; Recreation; Habitat; Flood risk;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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