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Robust design of multiscale programs to reduce deforestation

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  • CATTANEO, ANDREA

Abstract

A framework is provided for structuring programs aimed at reducing emissions from deforestation and forest degradation (REDD). Crediting reference levels and the coordination among different implementing entities at multiple geographic scales are discussed. A crediting reference level has an error component if it differs from the business-as-usual (BAU) without REDD. Both the BAU emissions and the impact of REDD actions are uncertain, implying that participating in REDD entails stakeholder risk, the distribution of which depends on REDD program design. To categorize REDD architectures we define scale-neutrality whereby, for a given REDD design, crediting relative to the reference level at a given scale is not affected by errors in reference levels at scales below it. Sufficient conditions are derived for scale-neutrality to hold. A Brazilian Amazon example is provided, comparing potential REDD architectures, and highlighting how a cap-and-trade approach may match the environmental outcome obtainable with perfect foresight of the BAU emissions.

Suggested Citation

  • Cattaneo, Andrea, 2011. "Robust design of multiscale programs to reduce deforestation," Environment and Development Economics, Cambridge University Press, vol. 16(4), pages 455-478, August.
    • Handle: RePEc:cup:endeec:v:16:y:2011:i:04:p:455-478_00
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    Cited by:

    1. Jonah Busch & Ruben Lubowski & Fabiano Godoy & Marc Steininger & Arief Anshory Yusuf & Kemen Austin & Jenny Hewson & Daniel Juhn & Muhammad Farid & Frederick Boltz, 2011. "Structuring national and sub-national economic incentives to reduce emissions from deforestation in Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 201105, Department of Economics, Padjadjaran University, revised Jun 2011.
    2. Bottazzi, Patrick & Cattaneo, Andrea & Rocha, David Crespo & Rist, Stephan, 2013. "Assessing sustainable forest management under REDD+: A community-based labour perspective," Ecological Economics, Elsevier, vol. 93(C), pages 94-103.
    3. Nolte, Christoph & Gobbi, Beatriz & le Polain de Waroux, Yann & Piquer-Rodríguez, María & Butsic, Van & Lambin, Eric F., 2017. "Decentralized Land Use Zoning Reduces Large-scale Deforestation in a Major Agricultural Frontier," Ecological Economics, Elsevier, vol. 136(C), pages 30-40.
    4. Betha Lusiana & Meine Noordwijk & Feri Johana & Gamma Galudra & S. Suyanto & Georg Cadisch, 2014. "Implications of uncertainty and scale in carbon emission estimates on locally appropriate designs to reduce emissions from deforestation and degradation (REDD+)," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(6), pages 757-772, August.
    5. Alix-Garcia, Jennifer & Wolff, Hendrik, 2014. "Payment for Ecosystem Services from Forests," IZA Discussion Papers 8179, Institute of Labor Economics (IZA).

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