- Where We Work
- Who We Are
- Info & Tools
Concise summary of a key component in the compliance mechanism of the RFS2.
Explains how compliance credit trading under the US CAFE standard is managed and executed in practice.
Concise overview of the RFS: history and current implementation, proposed reductions in 2014 volumes, biofuels categories, credit trading system.
Brazil has moved to control vehicle emissions, and early deaths from exposure to vehicle emissions are projected to decline by 50 percent in 2030. But if Brazil were to adopt best-practice controls on vehicles and fuels, it could cut health impacts by an additional two-thirds.
Without new limits on vehicle emissions and fuel sulfur content, early deaths from emissions of fine particles in India's urban areas will nearly quadruple by 2030. With such limits, India could reduce early deaths by 84 percent compared to business-as-usual in the same period.
Synopsis of a report commissioned from M.J. Bradley Associates by the ICCT and the Regulatory Assistance Project.
Concise analysis of the public health and economic benefits of early implementation of stricter standards over 30 years.
The health, climate and economic benefits to Mexico possible through alignment of efficiency standards and emissions standards for light- and heavy-duty vehicles, complemented by clean fuels.
Synopsis of ICCT's recently completed comprehensive assessment of vehicle emission control measures in India, setting Indian policy options in the context of international experience and consensus best practice.
An important question when estimating the indirect land use change emissions from biodiesel feedstocks is whether vegetable oils replace each other in the market, so that increased demand for one may result in increased production of another. In this paper, it is shown that the evidence from trade and agricultural production data strongly suggests that demand for rapeseed biodiesel in the EU will have driven expansion of palm oil production in Indonesia and Malaysia, as predicted in IFPRI's iLUC modeling with MIRAGE (Laborde, 2011).