As the world’s largest automobile markets, the United States and China lead the world in oil consumption, importing more than half the petroleum they consume. The CERC-Clean Vehicles Consortium seeks to reduce this oil consumption by supporting the joint research of the nations’ leading experts in clean vehicle technologies. The University of Michigan’s Prof. Huei Peng and Tsinghua University’s Prof. Minggao Ouyang lead this effort.
TE3 brings economic scholars together with government and industry practitioners to explore transportation and fuel research for energy and environmental policies that will foster progress toward long-term climate protection and business goals.
The Battery Show Exhibition & Conference is a showcase of advanced battery technology for electric & hybrid vehicles, utility & renewable energy support, portable electronics, medical technology, military and telecommunications.
If EVs are critical to significantly reducing or eliminating carbon dioxide emissions from automobiles over the next three decades – and I believe they are – we need to think about ways to appeal to desires and interests not only of consumers, but of public and private institutions with a stake in our energy and transportation systems. In short, we should extol EVs not for their low-carbon virtue, but as a way to create and to satisfy demand in both the electricity and transportation sectors.
This report is authored by U-M Department of Economics PhD student Alecia Cassidy. The energy efficiency gap is the failure of consumers or producers to make energy efficiency investments that would seemingly save money or increase profits. The phenomenon is important to understand, because if it exists and reflects irrational decisions on the part of consumers or firms, then policy intervention might be warranted. This report examines evidence for the energy efficiency gap in the automobile industry, and ultimately finds that the evidence is inconclusive. Three general approaches were employed: survey research, reduced-form analysis, and discrete choice modeling. Survey research finds evidence of an energy efficiency gap. Reduced-form analyses find no energy efficiency gap. The results of discrete choice models differ, with some finding evidence of an energy efficiency gap and others finding no evidence.