Minnesota
The Minnesota Next Generation Energy Act establishes a goal of reducing GHG emissions by 15% by 2015, 30% by 2025, and 80% by 2050, relative to 2005 levels.
From ScienceDaily comes news of a new research report from University of Minnesota’s Center fro Transportation Studies. The study looks at options for reducing transport emissions. Interestingly, transport represents 24% of MN emissions, vs. more than 40% in CA. The study decomposes emissions according to a variant of the IPAT identity,
Emissions = (Fuel/VehicleMile) x (Carbon/Fuel) x (VehicleMilesTraveled)
Vehicle and fuel effects are then modeled with LEAP, an energy modeling platform with a fast-growing following. The VMT portion is tackled with a spreadsheet calculator from CCAP’s Guidebook. I haven’t had much time to examine the latter, but it considers a rich set of options and looks like at least a useful repository of data. However, it’s a static framework, and land use-transportation interactions are highly dynamic. I’d expect it to be a useful way to construct alternative transport system visions, but not much help determining how to get there from here.
Minnesota’s Climate Change Advisory Group TWG on land use and transportation has a draft inventory and forecast of emissions. The Energy Supply and Residential/Commercial/Industrial TWGs developed spreadsheet analyses of a number of options. Analysis and Assumptions memos describe the results, but the spreadsheets are not online.
British Columbia
OK, it’s not a US region, but maybe we could trade it for North Dakota. BC has a revenue-neutral carbon tax, supplemented by a number of other initiatives. The tax starts at $10/TonCO2 and rises $5/year to $30 by 2012. The tax is offset by low-income tax credits and 2 to 5% reductions in lower income tax brackets; business tax reductions match personal tax reductions in roughly a 1:2 ratio.
BC’s Climate Action Plan includes a quantitative analysis of proposed policies, based on the CIMS model. CIMS is a detailed energy model coupled to a macroeconomic module that generates energy service demands. CIMS sounds a lot like DOE’s NEMS, which means that it could be useful for determining near-term effects of policies with some detail. However, it’s probably way too big to modify quickly to try out-of-the-box ideas, estimate parameters by calibration against history, or perform Monte Carlo simulations to appreciate the uncertainty around an answer.
The BC tax demonstrates a huge advantage of a carbon tax over cap & trade: it can be implemented quickly. The tax was introduced in the Feb. 19 budget, and switched on July 1st. By contrast, the WCI and California cap & trade systems have been underway much longer, and still are no where near going live. The EU ETS was authorized in 2003, turned on in 2005, and still isn’t dialed in (plus it has narrower sector coverage). Why so fast? It’s simple – there’s no trading infrastructure to design, no price uncertainty to worry about, and no wrangling over allowance allocations (though the flip side of the last point is that there’s also no transient compensation for carbon-intensive industries).
Bizarrely, BC wants to mess everything up by layering cap & trade on top of the carbon tax, coordinated with the WCI (in which BC is a partner).