article · FLORESTA
An empirical assessment evaluated the real-world effectiveness of 732 forestry and land use carbon projects registered under four voluntary carbon market standards. The analysis revealed broad variability across standards, project types, and regions. Most evaluated initiatives, accounting for 94.4 percent of the sample, fall into an average-scale, moderately effective classification. Statistical modelling demonstrated that older project age and higher volumes of retired carbon credits significantly increase project effectiveness. In contrast, higher volumes of issued credits, registration under the Gold Standard, and REDD+ project types are linked to reduced effectiveness. Predicted effectiveness reached its highest level in afforestation and reforestation activities, whereas REDD+ demonstrated the lowest predicted effectiveness. Overall, forestry and land use projects in the voluntary carbon market demonstrate moderate effectiveness, driven chiefly by project maturity and the actual retirement of credits.
Voluntary carbon markets channel private investment into nature-based climate solutions, yet the genuine impact of forestry interventions varies widely. Demonstrating that project maturity and credit retirement drive success, while certain models such as REDD+ lag behind, provides critical evidence for standard setters and climate financiers seeking to ensure that carbon offsetting delivers measurable environmental outcomes.
The findings offer applied insights for carbon credit buyers, market developers, and rating agencies assessing project viability and integrity. By identifying specific characteristics linked to higher performance, such as project age, credit retirement, and afforestation models, these models can inform risk screening and portfolio selection in the carbon credit sector. The research represents applied, retrospective analytical modelling based on existing registry data rather than a deployable commercial product.
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Forestry and Land Use (FLU) carbon projects are important nature-based solutions to climate change within the Voluntary Carbon Market (VCM). However, large-scale empirical assessments of their real-world effectiveness remain limited. This study assessed the effectiveness of 732 FLU projects certified under four major voluntary carbon market standards: Verra (Verified Carbon Standard, VCS), Gold Standard, American Carbon Registry (ACR), and Climate Action Reserve (CAR). Project-level data were sourced from the harmonized Berkeley Carbon Registry Database. After data transformation, descriptive statistics, cluster analysis, and beta regression modeling were applied to identify structural and contextual drivers of effectiveness. Results showed wide variability in effectiveness by registry, project type, and region. Cluster analysis identified three effectiveness typologies, with the majority (94.4%) categorized as average-scale and moderately effective. The beta regression model (pseudo R² = 0.16) indicated that project age (β = +0.48, p < 0.001) and credits retired (β = +0.59, p < 0.001) significantly enhanced effectiveness, while credits issued (β = −0.57, p < 0.001), Gold Standard (β = −1.31, p = 0.004), and REDD+ projects (β = −0.44, p = 0.036) reduced it. An extended model (pseudo R² = 0.18) revealed positive age interactions for Improved Forest Management (β = +0.43) and Avoided Grassland Conversion (β = +0.90). Predicted effectiveness was highest for A/R (0.53) and lowest for REDD+ (0.43). These findings indicate that FLU projects operating within the VCM generally exhibit moderate levels of effectiveness, with project age and the volume of carbon credits retired being the most significant determinants.
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DOI: 10.5380/rf.v56i1.101301
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