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Aligning science, rulemaking, and practice to strengthen carbon crediting
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Abstract
Results-based climate finance mobilizes private capital for climate mitigation by paying for verified outcomes [1]. Multiple independent evaluations have shown that credited reductions routinely overstate actual ones—by 3x to 14x across sectors [2–8]—but understanding of why or what to do about it is highly variable. To guide effective policy response, we develop a framework that decomposes the gap into three sources of error: implementation (what projects do and report), rulemaking (the methodologies that shape what is allowed), and the state of the science (what we know about the world). Focusing on cookstoves, where a sector-wide analysis estimated a ninefold gap [9], we show that most of the discrepancy reflects not what projects did but what approved rules permitted and what the science embedded in those rules has since overturned. Correcting biased benchmarks and outdated science, we estimate credits exceeded actual reductions roughly fivefold. Under reformed protocols, credits would be roughly 80% smaller but overstate reductions by only 1.6-fold. Every credit that does not correspond to a real reduction is an unaccounted emission warming the planet, purchased by someone who believed otherwise. For cookstoves, the stakes extend beyond carbon: household air pollution kills 3.2 million people per year [10], and carbon finance is one of the few mechanisms reaching them.
DOI
https://doi.org/10.31223/X5PH96
Subjects
Environmental Studies, Social and Behavioral Sciences
Keywords
clean cooking, energy efficiency, climate change
Dates
Published: 2025-02-25 02:25
Last Updated: 2026-04-11 00:27
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License
CC BY Attribution 4.0 International
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Conflict of interest statement:
This work was supported by the High Tide Foundation, which is related to Proyecto Mirador, a cookstove carbon credit project in Honduras. The funders have played no role in any decision to submit this work for publication or the content of this article.
Data Availability:
Data will be publicly available upon publication.
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