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Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation

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Listed:
  • Thales A. P. West
  • Sven Wunder
  • Erin O. Sills
  • Jan Borner
  • Sami W. Rifai
  • Alexandra N. Neidermeier
  • Andreas Kontoleon

Abstract

Carbon offsets from voluntarily avoided deforestation projects are generated based on performance vis-\`a-vis ex-ante deforestation baselines. We examined the impacts of 27 forest conservation projects in six countries on three continents using synthetic control methods for causal inference. We compare the project baselines with ex-post counterfactuals based on observed deforestation in control sites. Our findings show that most projects have not reduced deforestation. For projects that did, reductions were substantially lower than claimed. Methodologies for constructing deforestation baselines for carbon-offset interventions thus need urgent revisions in order to correctly attribute reduced deforestation to the conservation interventions, thus maintaining both incentives for forest conservation and the integrity of global carbon accounting.

Suggested Citation

  • Thales A. P. West & Sven Wunder & Erin O. Sills & Jan Borner & Sami W. Rifai & Alexandra N. Neidermeier & Andreas Kontoleon, 2023. "Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation," Papers 2301.03354, arXiv.org.
  • Handle: RePEc:arx:papers:2301.03354
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    References listed on IDEAS

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    1. Calel, Raphael & Colmer, Jonathan & Dechezlepretre, Antoine & Glachant, Matthieu, 2021. "Do carbon offsets offset carbon?," LSE Research Online Documents on Economics 113849, London School of Economics and Political Science, LSE Library.
    2. D. J. Weiss & A. Nelson & H. S. Gibson & W. Temperley & S. Peedell & A. Lieber & M. Hancher & E. Poyart & S. Belchior & N. Fullman & B. Mappin & U. Dalrymple & J. Rozier & T. C. D. Lucas & R. E. Howes, 2018. "A global map of travel time to cities to assess inequalities in accessibility in 2015," Nature, Nature, vol. 553(7688), pages 333-336, January.
    3. Becker, Martin & Klößner, Stefan, 2018. "Fast and reliable computation of generalized synthetic controls," Econometrics and Statistics, Elsevier, vol. 5(C), pages 1-19.
    4. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    5. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
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    Cited by:

    1. Ottmar Edenhofer & Max Franks & Matthias Kalkuhl & Artur Runge-Metzger, 2023. "On the Governance of Carbon Dioxide Removal – A Public Economics Perspective," CESifo Working Paper Series 10370, CESifo.
    2. Ellie-Anne Jones & Lisa Paige & Albany Smith & Annabelle Worth & Lois Betts & Richard Stafford, 2024. "Potential for Carbon Credits from Conservation Management: Price and Potential for Multi-Habitat Nature-Based Carbon Sequestration in Dorset, UK," Sustainability, MDPI, vol. 16(3), pages 1-12, February.
    3. Andreas A. Haupt & Nicole Immorlica & Brendan Lucier, 2023. "Certification Design for a Competitive Market," Papers 2301.13449, arXiv.org.

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