Designing REDD Schemes When Forest Users Are Not Forest Landowners: Evidence from a Survey-Based Experiment in Kenya

Posted: 8 Oct 2012 Last revised: 3 May 2015

See all articles by Marcella Veronesi

Marcella Veronesi

University of Verona - Department of Economics; Center for Development and Cooperation (NADEL)

Tim Schloendorn

ETH Zürich - Institute vor Environmental Decisions (IED)

Astrid Zabel

Bern University of Applied Sciences (BFH)

Stefanie Engel

ETH Zürich - Institute vor Environmental Decisions (IED)

Abstract

This study contributes to the debate on Reducing Emissions from Deforestation and Forest Degradation (REDD ) and the relationship between land tenure and forest conservation. We investigate policies that create alternative livelihood options for people around REDD forests who are forest users but not forest landowners by implementing a survey-based experiment in Kenya. We compare the effectiveness of different REDD payment schemes given rising opportunity costs of forest use. This study shows that policies that target the local drivers of deforestation, are conditional on environmental outcomes, and account for changing opportunity costs can significantly improve environmental outcomes compared to conventional policies.

Keywords: REDD; payments for ecosystem services; deforestation; land tenure; Africa

JEL Classification: I38, J22, O13, Q18, Q23, Q28, Q56

Suggested Citation

Veronesi, Marcella and Schloendorn, Tim and Zabel, Astrid and Engel, Stefanie, Designing REDD Schemes When Forest Users Are Not Forest Landowners: Evidence from a Survey-Based Experiment in Kenya. Ecological Economics, Vol. 116, 2015. Available at SSRN: https://ssrn.com/abstract=2046931 or http://dx.doi.org/10.2139/ssrn.2046931

Marcella Veronesi (Contact Author)

University of Verona - Department of Economics ( email )

Via Cantarane 24
Verona, 37129
Italy

Center for Development and Cooperation (NADEL) ( email )

Zürichbergstrasse 18
8092 Zurich, CH-1015
Switzerland

Tim Schloendorn

ETH Zürich - Institute vor Environmental Decisions (IED) ( email )

Weinbergstrasse 35
Zurich, 8092
Switzerland

Astrid Zabel

Bern University of Applied Sciences (BFH) ( email )

Laenggasse 85
Zollikofen, BE 3052
Switzerland

Stefanie Engel

ETH Zürich - Institute vor Environmental Decisions (IED) ( email )

Weinbergstrasse 35
Zurich, 8092
Switzerland

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