Author
Listed:
- Julia Naime
(NMBU - Norwegian University of Life Sciences)
- Arild Angelsen
(NMBU - Norwegian University of Life Sciences)
- Adriana Molina-Garzón
(CIFOR - Center for International Forestry Research - CGIAR - Consultative Group on International Agricultural Research [CGIAR])
- Cauê Carrilho
(USP - Universidade de São Paulo = University of São Paulo)
- Vivi Selviana
- Gabriela Demarchi
(CIFOR - Center for International Forestry Research - CGIAR - Consultative Group on International Agricultural Research [CGIAR], CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)
- Amy Duchelle
(CIFOR - Center for International Forestry Research - CGIAR - Consultative Group on International Agricultural Research [CGIAR])
- Christopher Martius
(CIFOR - Center for International Forestry Research - CGIAR - Consultative Group on International Agricultural Research [CGIAR])
Abstract
Collective Payments for Ecosystem Services (PES), where forest users receive compensation conditional on group rather than individual performance, are an increasingly used policy instrument to reduce tropical deforestation. However, implementing effective, (cost) efficient and equitable (3E) collective PES is challenging because individuals have an incentive to free ride on others' conservation actions. Few comparative studies exist on how different enforcement strategies can improve collective PES performance. We conducted a framed field experiment in Brazil, Indonesia and Peru to evaluate how three different strategies to contain the local free-rider problem perform in terms of the 3Es: (i) Public monitoring of individual deforestation, (ii) internal, peer-to-peer sanctions (Community enforcement) and (iii) external sanctions (Government enforcement). We also examined how inequality in wealth, framed as differences in deforestation capacity, affects policy performance. We find that introducing individual level sanctions can improve the effectiveness, efficiency and equity of collective PES, but there is no silver bullet that consistently improves all 3Es across country sites. Public monitoring reduced deforestation and improved the equity of the program in sites with stronger history of collective action. External sanctions provided the strongest and most robust improvement in the 3Es. While internal, peer enforcement can significantly reduce free riding, it does not improve the program's efficiency, and thus participants' earnings. The sanctioning mechanisms failed to systematically improve the equitable distribution of benefits due to the ineffectiveness of punishments to target the largest free-riders. Inequality in wealth increased group deforestation and reduced the efficiency of Community enforcement in Indonesia but had no effect in the other two country sites. Factors explaining differences across country sites include the history of collective action and land tenure systems.
Suggested Citation
Julia Naime & Arild Angelsen & Adriana Molina-Garzón & Cauê Carrilho & Vivi Selviana & Gabriela Demarchi & Amy Duchelle & Christopher Martius, 2022.
"Enforcement and inequality in collective PES to reduce tropical deforestation: Effectiveness, efficiency and equity implications,"
Post-Print
hal-03664172, HAL.
Handle:
RePEc:hal:journl:hal-03664172
DOI: 10.1016/j.gloenvcha.2022.102520
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Citations
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Cited by:
- Nyanghura, Qambemeda M. & Biber-Freudenberger, Lisa & Börner, Jan, 2024.
"Incentives for biodiversity conservation under asymmetric land ownership,"
Ecological Economics, Elsevier, vol. 219(C).
- Ding, Qian & Lu, Qiaoling & Wu, Jing & Zhou, Ting & Deng, Jinsong & Kong, Lingqiao & Yang, Wu, 2022.
"Integrated assessment of a payment for ecosystem services program in China from the effectiveness, efficiency and equity perspective,"
Ecosystem Services, Elsevier, vol. 56(C).
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