Comparing the Impact of Electric Vehicles on Different Sectors Energy Manufacturing etc
Future penetration and impacts of electric vehicles on transport energy consumption and CO2 emissions in different Chinese tiered cities
China Automotive Technology & Research Center. Annual Report on New Energy Vehicle Industry in China (2017). Beijing: Social Sciences Academic Press (China), 2017
Google Scholar
Ou X, Zhang Q, Zhang X, et al. Chinas new energy passenger vehicle development scenario analysis based on life time cost modelling. LCE, 2013, 04: 7179
Article Google Scholar
Lyu C, Ou X, Zhang X. China automotive energy consumption and greenhouse gas emissions outlook to 2050. Mitig Adapt Strateg Glob Change, 2015, 20: 627650
Article Google Scholar
Karplus V J, Paltsev S, Reilly J M. Prospects for plug-in hybrid electric vehicles in the United States and Japan: A general equilibrium analysis. Transpation Res Part A-Policy Practice, 2010, 44: 620641
Article Google Scholar
Ou X, Zhang X, Chang S. Scenario analysis on alternative fuel/vehicle for Chinas future road transport: Life-cycle energy demand and GHG emissions. Energy Policy, 2010, 38: 39433956
Article Google Scholar
Ou X, Zhang Q, Zhang X, et al. Modelling of electric vehicle penetration in China based on innovation diffusion theory. In: Proceedings of the Conference on Energy and Environmental Engineering. Hong Kong: Taylor & Francis Group, 2015. 251254
Google Scholar
Ren B, Shao L, You J. Development of a generalized bass model for Chinese electric vehicles based on innovation diffusion theory. Soft Sci, 2013, 27: 1722
Google Scholar
He W, He R. Empirical study of influence factors of public market diffusion on new energy vehicles: Based on TAM and IDT theory. J Dalian Univ Tech, 2015, 3: 2833
Google Scholar
Chen R. The Long-term Forecasting Methods and Empirical Research of Automotive Market Demand base on the Diffusion Theory of Innovative Products. Dissertation for Masters Degree. Chongqing: Chongqing University, 2012
Google Scholar
Greene D L, Duleep K G, Mcmanus W. Future potential of hybrid and diesel powertrains in the U.S. light-duty vehicle market. Industrial Organization, 2004, doi: 10.2172/885725
Google Scholar
Bhat C R, Sen S. Household vehicle type holdings and usage: An application of the multiple discrete-continuous extreme value (MDCEV) model. Transpat Res Part B-Methodolog, 2006, 40: 3553
Article Google Scholar
Xie F, Lin Z. Market-driven automotive industry compliance with fuel economy and greenhouse gas standards: Analysis based on consumer choice. Energy Policy, 2017, 108: 299311
Article Google Scholar
Hackbarth A, Madlener R. Consumer preferences for alternative fuel vehicles: A discrete choice analysis. Transpat Res Part D-Transp Environ, 2013, 25: 517
Article Google Scholar
Eggers F, Eggers F. Where have all the flowers gone? Forecasting green trends in the automobile industry with a choice-based conjoint adoption model. Tech Forecasting Social Change, 2011, 78: 5162
Article Google Scholar
Moura F. Electric vehicle diffusion in the portuguese automobile market. Int J Sustainable Transport, 2016, 10: 141217133925009
Google Scholar
Mura M C R, Mller C. Control-based optimization approach for aircraft scheduling in a terminal area with alternative arrival routes. Transpat Res Part E-Logistics Transpation Rev, 2015, 73: 96113
Article Google Scholar
Qian L, Soopramanien D. Heterogeneous consumer preferences for alternative fuel cars in China. Transpat Res Part D-Transp Environ, 2011, 16: 607613
Article Google Scholar
Zhang Q, Ou X, Yan X, et al. Electric vehicle market penetration and impacts on energy consumption and CO2 emission in the future: Beijing Case. Energies, 2017, 10: 228
Article Google Scholar
Train K. Discrete choice methods with simulation. Econom Rev, 2009, 10: 15
MathSciNet MATH Google Scholar
Nykvist B, Nilsson M. Rapidly falling costs of battery packs for electric vehicles. Nat Clim Change, 2015, 5: 329332
Article Google Scholar
Lu H. Sustainable Urban Mobility. Academic Report. Beijing: The Institute of Transportation Engineering, Tsinghua University (THUITE), 2016
Google Scholar
Ou X, Zhang X. Life-cycle Analysis of Automotive Energy Pathways in China. Beijing: Tsinghua University Press, 2011
Google Scholar
Xiong W. Development of the China renewable Electricity Planning and Operations Model and Its Application. Dissertation for Doctoral Degree. Beijing: Tsinghua University, 2016
Google Scholar
Huo H, Zhang Q, He K, et al. Vehicle-use intensity in China: Current status and future trend. Energy Policy, 2012, 43: 616
Article Google Scholar
Global EV Outlook 2020
Many uncertainties characterise the Covid-19 crisis, from the capacity of governments and companies to double-down on transport electrification efforts to what behavioural changes could potentially be expected from the current crisis, including from low oil prices and confinement measures. As cities gradually emerge from lockdowns, some of them are placing temporary restrictions on the frequency and occupancy of public transport, raising the risk of a spike in car traffic. Many cities, particularly in Europe, are therefore rapidly putting together policies to rethink the use of urban space and to promote walking and cycling. As part of economic recovery efforts, a focus on promoting clean transport is being called for at national and local levels.
Auto manufacturing, a critical sector of economic activity in many of the worlds largest economies, employs millions of people across the entire supply chain. It has been severely affected during the Covid-19 crisis; practically all major car manufacturers halted production lines for some period. Governments need to carefully consider appropriate policy responses. It is reasonable to expect that stimulus packages will seek to bolster the economy in countries with important vehicle manufacturing capacity by including measures to support the automotive industry, not least given their relevance for the labour market. While such measures will inevitably help boost electric vehicle sales as well, targeted measures to support electric vehicle sales in particular will be required to ensure that the electrification of road transport remains on track towards the postulated goals.
In China, policy makers were quick to identify the auto market as a primary target for economic stimulus. Among other measures, the central government encouraged cities to relax car permit quotas, at least temporarily, complemented bystrengthening targeted New Energy Vehicle measures. In the European Union, at the time of writing, existing policies and regulations were being maintained and countries like France and Germany announced increased support measures towards electric vehicles for the remainder of 2020.
Experience of automotive industry stimulus measures has been mixed. Cash-for- clunkers programmes can be an effective approach if they are designed to support the uptake of more efficient (e.g. hybrid) and electric cars. In past stimulus packages, however, such considerations were not always adequately addressed and sales of sport utility vehicles and diesel cars were boosted, which pushed up global oil demand and air pollution. Support for the auto industry can also be tied to ambitious fuel economy regulations, which in the past triggered innovation and helped jump- start key parts of todays electric car industry. Other targeted and direct support measures, such as for charging infrastructure, or via favourable loans with low interest rates and/or public co-funding, towards corporate fleets for bulk procurement of electric cars, buses and trucks, could support continued growth in electric vehicle sales. In countries where fossil fuel subsidies prevail, the low oil price environment is an important opportunity to phase out price supports, which are detrimental for pursuing energy efficiency efforts in general and for creating a context that supports road vehicle electrification in particular.