An alternative way to mitigate non-additionality risks of carbon offsets

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This paper proposes and simulates an alternative additionality regime using dynamic positive lists and partial credit issuance to better mitigate non-additionality risks and improve emissions reductions compared to current practices.

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The paper studies how to mitigate non-additionality risks in carbon offset markets, where credits can be over-issued and many projects may have occurred without crediting. Using simulation analysis on a synthetic pool of projects calibrated to historical data, the authors evaluate a proposed additionality regime that combines dynamic positive lists (country- and project-type-specific eligibility rules) with partial credit issuance to reflect context-specific non-additionality risks. They report that this approach performs better than current practice in most scenarios in emissions reductions, cost efficiency, and resilience against systematic over-crediting, and they argue it supports standardized assessment rather than project-by-project evaluation. The paper is explicitly a simulation study of a synthetic, historically calibrated project pool rather than an empirical evaluation of real-world projects. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract The market for carbon credits is riddled with problems. Despite lengthy and costly case-by-case approval processes, often too many credits are awarded per project (over-crediting), and many projects would have happened anyway (non-additionality). Here we investigate a novel additionality regime based on: (i) dynamic positive lists that define automatic eligibility criteria, specified by host country and by project type; and (ii) partial credit issuance to reflect context-specific non-additionality risks. We carry out simulation analysis, conducted on a synthetic project pool calibrated on historical data, to demonstrate that this approach performs better than current practice under most scenarios in terms of emissions reductions, cost efficiency, and resilience against systematic over-crediting. The findings support a standardised assessment approach over project-specific evaluation, and they call for more disaggregated analysis across heterogeneous contexts to mitigate regulatory biases and deliver a simpler certification process with better climate outcomes.
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Despite lengthy and costly case-by-case approval processes, often too many credits are awarded per project (over-crediting), and many projects would have happened anyway (non-additionality). Here we investigate a novel additionality regime based on: (i) dynamic positive lists that define automatic eligibility criteria, specified by host country and by project type; and (ii) partial credit issuance to reflect context-specific non-additionality risks. We carry out simulation analysis, conducted on a synthetic project pool calibrated on historical data, to demonstrate that this approach performs better than current practice under most scenarios in terms of emissions reductions, cost efficiency, and resilience against systematic over-crediting. The findings support a standardised assessment approach over project-specific evaluation, and they call for more disaggregated analysis across heterogeneous contexts to mitigate regulatory biases and deliver a simpler certification process with better climate outcomes. Scientific community and society/Social sciences/Economics Earth and environmental sciences/Climate sciences/Climate change/Climate-change mitigation carbon offsetting carbon markets additionality positive lists regime design Full Text Additional Declarations There is NO Competing Interest. Supplementary Files NCCSICarbonCreditsAdditionality.docx Supplementary Information Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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