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Deriving site-specific and time-varying supply curves for forest carbon storage

Author

Listed:
  • Seong-Hoon Cho
  • Amine Ben Ayara
  • Dayton M. Lambert
  • Christopher D. Clark
  • Guangsheng Chen
  • Daniel J. Hayes
  • Bijay P. Sharma

Abstract

We examine whether site-specific and time-varying supply functions for environmental benefits can be used to improve the design of conservation programs. We derive time-varying supply curves for site-specific forest carbon storage at the one-km2 pixel level for three periods for the southern Appalachian region of the United States. We couple a land use model with a carbon simulation model to estimate the opportunity cost of sequestering forest carbon and derive supply curves for forest carbon storage for the three periods. Our study derives a large number of annual supply curves for site-specific forest carbon storage across multiple periods. Our approach signifies the value of identifying cost-effective approaches at a fine enough scale to account for the information asymmetry between private landowner costs and their benefits from potential land uses. The temporal aspect of our findings raise important questions about temporal flexibilities of payment designs with regard to their spatial targeting.

Suggested Citation

  • Seong-Hoon Cho & Amine Ben Ayara & Dayton M. Lambert & Christopher D. Clark & Guangsheng Chen & Daniel J. Hayes & Bijay P. Sharma, 2020. "Deriving site-specific and time-varying supply curves for forest carbon storage," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(12), pages 2144-2162, October.
  • Handle: RePEc:taf:jenpmg:v:63:y:2020:i:12:p:2144-2162
    DOI: 10.1080/09640568.2019.1705771
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    Cited by:

    1. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    2. Sharma, Bijay P. & Cho, Seong-Hoon, 2021. "Analyzing how forest-based amenity values and carbon storage benefits affect spatial targeting for conservation investment," Forest Policy and Economics, Elsevier, vol. 131(C).

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