Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best–worst choice modeling in Florida USA
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DOI: 10.1016/j.forpol.2015.12.004
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Citations
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- Carriazo, Fernando & Labarta, Ricardo & Escobedo, Francisco J., 2020. "Incentivizing sustainable rangeland practices and policies in Colombia’s Orinoco region," Land Use Policy, Elsevier, vol. 95(C).
- Soto, José R. & Escobedo, Francisco J. & Khachatryan, Hayk & Adams, Damian C., 2018. "Consumer demand for urban forest ecosystem services and disservices: Examining trade-offs using choice experiments and best-worst scaling," Ecosystem Services, Elsevier, vol. 29(PA), pages 31-39.
- Mishra, Bijesh, 2022.
"Economics and human dimension of active management of forest-grassland ecotone in South-central USA under changing climate,"
MPRA Paper
116200, University Library of Munich, Germany, revised 30 Jul 2022.
- Bijesh Mishra, 2023. "Economics and human dimension of active managment of forest grassland ecotone in south-central USA under changing climate," Papers 2302.11675, arXiv.org.
- Ivan Sever & Miroslav Verbič & Eva Klaric Sever, 2020. "Estimating Attribute-Specific Willingness-to-Pay Values from a Health Care Contingent Valuation Study: A Best–Worst Choice Approach," Applied Health Economics and Health Policy, Springer, vol. 18(1), pages 97-107, February.
- Sydney Oluoch & Pankaj Lal & Andres Susaeta & Meghann Smith & Bernabas Wolde, 2024. "Consumer Preferences for Wood-Pellet-Based Green Pricing Programs in the Eastern United States," Energies, MDPI, vol. 17(8), pages 1-16, April.
- Aizaki, Hideo & Fogarty, James, 2019. "An R package and tutorial for case 2 best–worst scaling," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
- Yang, Yi & Zhu, Yu & Zhao, Yiwen, 2024. "Improving farmers’ livelihoods through the eco-compensation of forest carbon sinks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
- Alisa E White & David A Lutz & Richard B Howarth & José R Soto, 2018. "Small-scale forestry and carbon offset markets: An empirical study of Vermont Current Use forest landowner willingness to accept carbon credit programs," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-24, August.
- Rubino, Elena C. & Pienaar, Elizabeth F. & Soto, José R., 2018. "Structuring Legal Trade in Rhino Horn to Incentivize the Participation of South African Private Landowners," Ecological Economics, Elsevier, vol. 154(C), pages 306-316.
- 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.
- Kreye, Melissa M. & Adams, Damian C. & Escobedo, Francisco J. & Soto, José R., 2016. "Does policy process influence public values for forest-water resource protection in Florida?," Ecological Economics, Elsevier, vol. 129(C), pages 122-131.
- Behnoosh Abbasnezhad & Jesse B. Abrams & Seth J. Wenger, 2024. "The Impact of Projected Land Use Changes on the Availability of Ecosystem Services in the Upper Flint River Watershed, USA," Land, MDPI, vol. 13(6), pages 1-18, June.
- repec:ags:aaea22:335876 is not listed on IDEAS
- Graves, Rose A. & Nielsen-Pincus, Max & Haugo, Ryan D. & Holz, Andrés, 2022. "Forest carbon incentive programs for non-industrial private forests in Oregon (USA): Impacts of program design on willingness to enroll and landscape-scale program outcomes," Forest Policy and Economics, Elsevier, vol. 141(C).
- Khanal, Puskar N. & Grebner, Donald L. & Straka, Thomas J. & Adams, Damian C., 2019. "Obstacles to participation in carbon sequestration for nonindustrial private forest landowners in the southern United States: A diffusion of innovations perspective," Forest Policy and Economics, Elsevier, vol. 100(C), pages 95-101.
- Susaeta, Andres & Adams, Damian C. & Gonzalez-Benecke, Carlos, 2017. "Economic vulnerability of southern US slash pine forests to climate change," Journal of Forest Economics, Elsevier, vol. 28(C), pages 18-32.
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Keywords
Choice modeling; Best–worst scaling; Carbon offsets; Discrete choice; Non-industrial private forest; Willingness to accept;All these keywords.
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