Estimates of the Long-Term U.S. Economic Impacts of Global Climate Change-Induced Drought

To better understand some of the potential economic impacts of severe climate changes, Sandia National Laboratories economists estimated the impacts to the U.S. economy of climate change-induced impacts to U.S. precipitation over the 2010 to 2050 time period. The economists developed an impact methodology that converted changes in precipitation and water availability to changes in economic activity, and conducted simulations of economic impacts using the REMI PI+ model of the U.S. economy. There was at least four dimensions to climate change that were important in terms of their impact on the economy: first, different types of severe climate change could occur; second, these global climate changes affect different economic sectors; third, the location, spatial extent, and resolution of the consequences of climate change can vary widely; fourth, the time period of climate change and impacts can be very different.

Sandia National Laboratories – Estimates of the Long-Term U.S. Economic Impact of Global Climate Change-Induced Drought [full PDF]

Economic Implications of Implementing the EPA Clean Power Plan in Montana

Although Montana customers will continue to be provided with reliable electricity, the economy will inevitably suffer in total size, prosperity, and population as a byproduct of a Clean Power Plan. Statewide employment will be met with a reduction of 7,100 jobs, half a billion dollars in Montana household income, $1.5 billion in gross business receipts, $145 million in state revenues, and population by 10,000 people and 3,000 potential students. A major component of this substantial drop-off comes from a particular employer, Colstrip SES, closing down as this company’s nature makes it profitable for employees and Montana’s export industry, while a company with a smaller economic and environmental footprint has less need for labor and material-handling processes.

University of Montana – Economic Implications of Clean Power Plan [full PDF]

The Economic, Fiscal, Emissions, and Demographic Implications from a Carbon Price Policy in Vermont

The REMI PI+ model in collaboration with the Carbon Tax Analysis model investigated the economic, emissions, environmental, and demographics issues inherent within a carbon fee policy. Vermont was found to experience a net increase in employment based on its scarce amounts of fossil fuel extraction and refining. If they were to lessen their dependency on imported oil, they stand to keep more Vermont dollars in the state, create more jobs, and grow all aspects of Vermont’s economy. The only negatives associated with this policy are the impacts to the fossil fuel transportation industry as a result of decreased consumption.

REMI – The Economic, Fiscal, Emissions, and Demographic Implications from a Carbon Price Policy in VT [full PDF]

The Economic, Climate, Fiscal, Power, and Demographic Impact of a National Fee-and-Dividend Carbon Tax

The REMI PI+ model was used in tandem with the CAT and ReEDS models to fully encapsulate the impact of a national carbon tax in terms of economic, climate/emissions, electrical power, federal fiscal, and demographic implications. There was a considerable increase in jobs, GDP, income, prices, emission reduction, revenues, electrical capacity and generation, overall population, migration, and premature death avoidance (2.1 million more jobs under the FA carbon tax than in the baseline, 33% reduction in carbon dioxide emissions from baseline conditions, 13,000 premature deaths saved from improvements in air quality).

Synapse, REMI – National Fee-and-Dividend Carbon Tax [full PDF]

The Keystone XL Pipeline: REMI Estimates of Economic Impacts from Construction and Operations

The REMI PI+ macroeconomic model was incorporated for this study and was used against other modeling softwares to try and ascertain the accurate amount of jobs set to be initialized by the Keystone XL pipeline and the economic climate of crude oil surrounding the building of this pipeline. The REMI model resulted in the lowest overall figures, but the transparency of how the model calculated the numbers given and arrived at its conclusions determined that it was the most accurate model to use with this type of forecasting.

E&WE/REMI – Keystone XL White Paper [full PDF]