The Berkeley Carbon Trading Project, headed by BECI Research Fellow Barbara Haya, combines interdisciplinary research with policy outreach focused on the effectiveness of carbon trading programs.
The project is currently focused on California’s carbon offset program, which is expected to contribute substantially to how the state will achieve its emissions targets and to offer a potential model for other new offset programs around the world.
The Berkeley Carbon Trading Project’s approach is multifaceted and includes:
- Assessing the outcomes thus far of California’s six domestic offset protocols in reducing emissions and avoiding false crediting
- Providing input into California’s proposed implementation of an international sector-based forest offset program called REDD (Reducing Emissions from Deforestation and forest Degradation)
- Working to ensure that the project’s research informs policy enactment and implementation in California and by new offset programs being developed internationally
Documents and Resources:
Fact Sheet: The Size of California’s Carbon Offset Program, prepared by Barbara Haya. June 6, 2017.
Fact Sheet: California’s U.S. Forest Offset Protocol Over-credits Reductions, prepared by Barbara Haya. June 6, 2017.
Comments submitted to the California Air Resources Board on the state’s draft Climate Change Scoping Plan Update – the proposed strategy for achieving California’s 2030 greenhouse gas target (Submitted Nov. 21, 2016)
Carbon Offsets in California: Science in the Policy Development Process
Barbara Haya, Aaron Strong, Emily Grubert, Danny Cullenward. Book chapter in: In New Trends in Communicating Risk and Resiliency: A Multi-Disciplinary Approach to Global Environmental Change, eds. J. Eichelberger, K. Taylor & Y. Kontar. Springer. (2016).
California’s Carbon Offsets Program — the Offset Limit Explained
This short slide deck visually describes California’s offsets limit, and offers the data tables in a separate tab.
AB 398’s use of excess carbon credits instead of real reductions, July 17, 2017.