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Public and Private Preferences for Urban Forest Ecosystem Services

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  • Soto, José
  • Escobedo, Francisco
  • Adams, Damian

Abstract

Ecosystem services are important for Floridians as they are directly related to water quality, clean air, property values and overall quality of life. A few studies have valued the economic benefits of these services from forests and Floridian’s willingness to pay for ornamental attributes and control of invasives. This study collected survey data from 1,052 Florida homeowners to elicit consumer preferences for key urban forest attributes and their ecosystem services and disservices. We use existing plot field data, conjoint analysis, best-worst scaling surveys, and econometric modeling to identify attributes and tradeoffs between urban forest structure and ecosystem service/disservice. The integration of these approaches is novel and can better assess the value of ecosystem services of Florida’s urban forests. This method can also be used to identify the preferences of public policy-makers and private homeowners. From the attributes considered in this study, our findings indicate that Property Value has the highest impact on urban forest preferences, followed by Tree Condition and Tree Shade. To increase participation in efforts that generate urban forest ecosystem services, at the public or private level, policymakers may need to design programs that cost less than $7.00 per month, while maintaining good condition trees that provide high shade.

Suggested Citation

  • Soto, José & Escobedo, Francisco & Adams, Damian, 2016. "Public and Private Preferences for Urban Forest Ecosystem Services," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236232, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:236232
    DOI: 10.22004/ag.econ.236232
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    References listed on IDEAS

    as
    1. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    2. Jayson L. Lusk & Brian C. Briggeman, 2009. "Food Values," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 184-196.
    3. Soto, José R. & Adams, Damian C. & Escobedo, Francisco J., 2016. "Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best–worst choice modeling in Florida USA," Forest Policy and Economics, Elsevier, vol. 63(C), pages 35-42.
    4. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    5. Lusk, Jayson L. & Parker, Natalie, 2009. "Consumer Preferences for Amount and Type of Fat in Ground Beef," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-16, April.
    6. Lusk, Jayson L. & Briggeman, Brian C., 2008. "AJAE appendix for “Food Values”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(1), pages 1-12, February.
    7. Adams, Damian C. & Bwenge, Anafrida N. & Lee, Donna J. & Larkin, Sherry L. & Alavalapati, Janaki R.R., 2011. "Public preferences for controlling upland invasive plants in state parks: Application of a choice model," Forest Policy and Economics, Elsevier, vol. 13(6), pages 465-472, July.
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