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Abstract

Conventional counterfactuals used in literature may underestimate fuel savings from clean vehicle adoption, thus overestimating the costs of securing associated environmental benefits. Using a large-scale nationally representative sample of U.S. new car buyers, we propose a choice model-based counterfactual approach to predict what consumers would purchase if clean vehicles were unavailable. We find that gasoline consumption under a no clean vehicle scenario increases by 1.7%, compared with 1.1% based on a conventional counterfactual. The conventional counterfactual overestimates the cost of gasoline savings from clean vehicle adoption incentives by $1.16 (27%) per gallon compared with the choice model-based counterfactual. © 2018 Elsevier Ltd

https://doi.org/10.1016/j.enpol.2018.05.057

Energy Policy

Authors

Tamara Sheldon

Tamara Sheldon

Visiting Researcher Tamara is a visiting researcher at KAPSARC and an assistant professor of economics in the Darla Moore School of Business at… Tamara is a visiting researcher at KAPSARC and an assistant professor of economics in the Darla Moore School of Business at the University of South Carolina. Her research interests include environmental and energy economics and how these fields interact with public policy. She holds a Ph.D. in Economics from the University of California, San Diego.

Rubal Dua

Research Fellow Rubal is a research fellow at KAPSARC focused on understanding consumer decision making, in particular, consumer choice of energy-efficient technologies… Rubal is a research fellow at KAPSARC focused on understanding consumer decision making, in particular, consumer choice of energy-efficient technologies and mobility options under alternative technology and policy scenarios. Before joining KAPSARC, Rubal gained a Ph.D. at KAUST designing advanced carbon materials for energy and environmental applications, with a particular focus on energy storage, carbon capture, waste-water treatment, and hydrogen generation via solar water splitting. Prior to that, he worked at the University of Pennsylvania on a semiconductor industry-funded project, developing a continuum modeling framework for simulating the physics of micro defect formation in silicon crystals.

Expertise

  • Behavorial decision science
  • Consumer adoption
  • Energy-efficient mobility and shared autonomous mobility-on-demand

Publications See all Rubal Dua’s publications

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