Lutter contre la corruption collusoire dans les forêts gérées par la communauté

The document examines how collusive corruption—where officials and private individuals collaborate to violate rules—undermines community-based natural resource management (CBNRM). Using a hypothetical scenario based on timber auction rigging in Nepal, it illustrates how sawmill owners, contractors, local politicians, and forest officials form networks of mutual support and reciprocity to defraud communities. To counter this, the guide proposes behavioral science interventions: addressing 'present bias' by monetizing long-term losses, using 'salience bias' to make illegal logging impacts more emotionally resonant, and challenging the perception that informal payments are not corruption. It recommends cultivating 'champions' among youth and integrity-driven community members, providing incentives for honest law enforcement, and transitioning brokers into certified service providers. The guide concludes with a framework for prevention and persuasion at both individual and institutional levels.

• Collusive corruption is defined as arrangements where officials and private individuals collaborate to violate formal rules and defraud public resources or funds, posing an "existential threat" to the community-based natural resource management (CBNRM) model.
• In a scenario based on research in Nepal, collusive corruption manifests as the rigging of community forest timber auctions involving a network of sawmill owners, contractors (brokers), local political leaders, forest officials, and community forest management groups (CFMGs).
• Corruption in community forests is often sustained by social norms of reciprocity and solidarity, where bribes are not perceived as corruption but as mutual aid between community leaders and contractors.
• Behavioral science can address 'present bias'—the tendency to ignore future costs for immediate gains—by monetizing long-term economic losses caused by overexploitation to make conservation benefits more concrete.
• To trigger action against corruption, the guide suggests using 'salience bias' to make the negative impacts of illegal logging more notable and emotionally resonant, such as linking corruption to the inability to build a local school.
• For private sector actors like sawmill owners, behavioral change is most effective when based on a clear business case, such as obtaining international certifications like the Sustainable Forestry Initiative to access higher-value markets.

APA

Camargo, C. B. (2024). Lutter contre la corruption collusoire dans les forêts gérées par la communauté. WWF International. https://www.worldwildlife.org/documents/296/6acb5gu74r_SNBC_Guide_3_Addressing_collusive_corruption_in_community_French.pdf

Chicago

Camargo, Claudia Baez. Lutter contre la corruption collusoire dans les forêts gérées par la communauté. WWF International, 2024. https://www.worldwildlife.org/documents/296/6acb5gu74r_SNBC_Guide_3_Addressing_collusive_corruption_in_community_French.pdf.

Wikipedia

{{cite report |last1=Camargo |first1=Claudia Baez |title=Lutter contre la corruption collusoire dans les forêts gérées par la communauté |publisher=WWF International |date=April 2024 |url=https://www.worldwildlife.org/documents/296/6acb5gu74r_SNBC_Guide_3_Addressing_collusive_corruption_in_community_French.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{camargo2024lutter, author = {Camargo, Claudia Baez}, title = {{Lutter contre la corruption collusoire dans les forêts gérées par la communauté}}, institution = {WWF International}, year = {2024}, month = apr, url = {https://www.worldwildlife.org/documents/296/6acb5gu74r_SNBC_Guide_3_Addressing_collusive_corruption_in_community_French.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }