The research team gathered data using a National Energy Modeling System (NEMS) created by the Energy Information Administration, which models the entire U.S. energy system using detailed information from the current domestic energy system and a forecast of the future of the electric system. Wolfram completed a life cycle assessment that provided outputs of indirect emissions, which were then plugged into the NEMS model to see how a carbon tax on these indirect emissions would change the behavior of consumers and manufacturers. Weber assisted in modifying the NEMS code. 

According to Wolfram, the study shows that “the elephant in the room is the supply chain of fossil fuel-powered vehicles, not that of electric vehicles.” He notes that the faster we switch to electric vehicles, the better — at least in countries with a sufficiently decarbonized electricity supply, like the U.S. 

Gillingham, whose research has focused extensively on alternative energy adoption in transportation, says this research provides a better understanding of how comprehensive carbon pricing — which includes the full supply chain — can shift consumers toward electric vehicles.

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