Estimated participation in U.S. carbon sequestration programs: A study of NIPF landowners in Massachusetts
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DOI: 10.1016/j.jfe.2011.06.002
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- Yu, Jinna & Yao, Shunbo & Zhang, Bisheng, 2014. "Designing afforestation subsidies that account for the benefits of carbon sequestration: A case study using data from China's Loess Plateau," Journal of Forest Economics, Elsevier, vol. 20(1), pages 65-76.
- Kerchner, Charles D. & Keeton, William S., 2015. "California's regulatory forest carbon market: Viability for northeast landowners," Forest Policy and Economics, Elsevier, vol. 50(C), pages 70-81.
- 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.
- Balderas Torres, Arturo & MacMillan, Douglas C. & Skutsch, Margaret & Lovett, Jon C., 2013. "Payments for ecosystem services and rural development: Landowners' preferences and potential participation in western Mexico," Ecosystem Services, Elsevier, vol. 6(C), pages 72-81.
- Khanal, Puskar N. & Grebner, Donald L. & Munn, Ian A. & Grado, Stephen C. & Grala, Robert K. & Henderson, James E., 2017. "Evaluating non-industrial private forest landowner willingness to manage for forest carbon sequestration in the southern United States," Forest Policy and Economics, Elsevier, vol. 75(C), pages 112-119.
- Miller, Kristell A. & Snyder, Stephanie A. & Kilgore, Michael A., 2012. "An assessment of forest landowner interest in selling forest carbon credits in the Lake States, USA," Forest Policy and Economics, Elsevier, vol. 25(C), pages 113-122.
- Baral, Srijana & Lamichhane, Sabhyata & Koirala, Anil, 2025. "Current status of improved forest management carbon offset projects in the US voluntary market," Forest Policy and Economics, Elsevier, vol. 178(C).
- 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.
- 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).
- Huff, Emily S. & Floress, Kristin & Snyder, Stephanie A. & Ma, Zhao & Butler, Sarah, 2019. "Where farm and forest meet: Comparing National Woodland Owner Survey respondents with and without farmland," Land Use Policy, Elsevier, vol. 87(C).
- Josset, Clement & Shanafelt, David W. & Abildtrup, Jens & Stenger, Anne, 2023.
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- Clement Josset & David W. Shanafelt & Jens Abildtrup & Anne Stenger, 2023. "Probabilistic typology of private forest owners: A tool to target the development of new market for ecosystem services," Post-Print hal-04522989, HAL.
- 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.
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Keywords
; ; ; ;JEL classification:
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
- Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
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