Impacts of renewables and socioeconomic factors on electric vehicle demands – Panel data studies across 14 countries

Abstract Electric vehicle demands have increased rapidly since 2010, and depend on renewables and socioeconomic factors. Using panel data from fourteen countries between 2010 and 2015, we study impacts of seven factors in a multiple linear regression model. The factors include percentage of renewable energies in electricity generation, number of charging stations, education level, population density, gasoline price, GDP per capita and urbanization. The first four factors have apparent and positive impacts on the demands, and the last two factors don’t. The gasoline price affects the demands for BEVs (battery electric vehicles) more than that for PHEVs (plug-in hybrid electric vehicles). One percent increase in renewables would lead to approximately 2–6% increase in EV demands. Based on the results, policy implications are discussed.

[1]  Roberto Akira Yamachita,et al.  The impact on electricity demand and emissions due to the introduction of electric cars in the São Paulo Power System , 2014 .

[2]  K. S. Gallagher,et al.  Giving Green to Get Green: Incentives and Consumer Adoption of Hybrid Vehicle Technology , 2008 .

[3]  Meryl P. Gardner,et al.  Willingness to pay for electric vehicles and their attributes , 2011 .

[4]  M. Arellano,et al.  Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .

[5]  K. Train,et al.  Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles , 1999, Controlling Automobile Air Pollution.

[6]  S. Mühlmeier,et al.  Who will buy electric cars? An empirical study in Germany , 2011 .

[7]  Steven J. Skerlos,et al.  Increasing electric vehicle policy efficiency and effectiveness by reducing mainstream market bias , 2014 .

[8]  Shanjun Li,et al.  Gasoline Prices, Government Support, and the Demand for Hybrid Vehicles in the United States , 2011 .

[9]  Yusak O. Susilo,et al.  The effect of policy incentives on electric vehicle adoption , 2016 .

[10]  A. Duckworth The Broken Hill Strike , 1893 .

[11]  Ramteen Sioshansi,et al.  The Role of Plug-In Electric Vehicles with Renewable Resources in Electricity Systems , 2014 .

[12]  C. Manski,et al.  An empirical analysis of household choice among motor vehicles , 1980 .

[13]  Jonn Axsen,et al.  Connecting plug-in vehicles with green electricity through consumer demand , 2013 .

[14]  David Banister,et al.  Realizing the electric-vehicle revolution , 2012 .

[15]  J. Edmonds,et al.  2.6: Limiting climate change to 450 ppm CO2 equivalent in the 21st century , 2009 .

[16]  Ben Elliston,et al.  Research and deployment priorities for renewable technologies: Quantifying the importance of various renewable technologies for low cost, high renewable electricity systems in an Australian case study , 2016 .

[17]  John Miller,et al.  CO2 emissions associated with electric vehicle charging: The impact of electricity generation mix, charging infrastructure availability and vehicle type , 2016 .

[18]  J. Hausman Specification tests in econometrics , 1978 .

[19]  Joshua D. Angrist,et al.  Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .

[20]  Suzanna Long,et al.  Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions , 2012 .

[21]  Renato J. Orsato,et al.  The emergence of an electric mobility trajectory , 2013 .

[22]  B. Stram Key challenges to expanding renewable energy , 2016 .

[23]  S. Potter,et al.  The adoption of cleaner vehicles in the UK: exploring the consumer attitude–action gap , 2007 .

[24]  Wilfried Hennings,et al.  Utilization of excess wind power in electric vehicles , 2013 .

[25]  B. Wee,et al.  The influence of financial incentives and other socio-economic factors on electric vehicle adoption , 2014 .

[26]  Kaddour Hadri,et al.  Testing for Stationarity in Heterogeneous Panel Data , 2000 .

[27]  D. Diamond The impact of government incentives for hybrid-electric vehicles: Evidence from US states , 2009 .

[28]  J. P. Toner,et al.  A mixed logit model of U.K. household demand for alternative-fuel vehicles. , 2004 .