Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China

Transportation Research Part A: Policy and Practice

Volumn 73, Issue , 2015, Pages 96-112

  Helveston, John Paul ^a   Liu, Yimin ^b   Feit, Elea McDonnell ^c   Fuchs, Erica ^a   Klampfl, Erica ^b   Michalek, Jeremy J ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b FORD MOTOR COMPANY   (United States)

^c DREXEL UNIVERSITY   (United States)

Author keywords

China; Conjoint analysis; Discrete choice modeling; Federal subsidy policy; Vehicle electrification; Willingness to pay

Indexed keywords

BATTERY PACK; DIGITAL STORAGE; ELECTRIC DRIVES; ELECTRIC POWER GENERATION; GAS EMISSIONS; GASOLINE; GREENHOUSE GASES; NATIONAL SECURITY;

CHINA; CONJOINT ANALYSIS; DISCRETE CHOICE MODELS; VEHICLE ELECTRIFICATIONS; WILLINGNESS TO PAY;

PLUG-IN HYBRID VEHICLES;

CONSUMPTION BEHAVIOR; DISCRETE CHOICE ANALYSIS; ELECTRIC VEHICLE; ELECTRICITY GENERATION; ELECTRIFICATION; EMISSION CONTROL; SOCIAL IMPACT; SUBSIDY SYSTEM; WILLINGNESS TO PAY;

CHINA; UNITED STATES;

EID: 84922739662     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2015.01.002     Document Type: Article

References (61)

1. Axsen, J., Kurani, K.S., 2008. The Early U.S. Market for PHEVs: Anticipating Consumer Awareness, Recharge Potential, Design Priorities and Energy Impacts (August).
2. Axsen J., Mountain D.C., Jaccard M. Combining stated and revealed choice research to simulate the neighbor effect: the case of hybrid-electric vehicles. Resour. Energy Econ. 2009, 31(3):221-238. 10.1016/j.reseneeco.2009.02.001.
3. Berry S., Levinsohn J., Pakes A. Automobile prices in market Equilibrium Steven. Econometrica 1995, 63(4):841-890.
4. Bhat C.R., Sen S. Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model. Transport. Res. Part B: Methodol. 2006, 40(1):35-53. 10.1016/j.trb.2005.01.003.
5. Boyd J.H., Mellman R.E. The effect of fuel economy standards on the U.S. automotive market: an hedonic demand analysis. Transport. Res. Part A: General 1980, 14(5-6):367-378. 10.1016/0191-2607(80)90055-2.
6. Bradley M., Daly A. Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data. Transportation 1994, 21(2):167-184.
7. Brownstone D., Train K.E. Forecasting new product penetration with flexible substitution patterns. J. Econ. 1999, 89.
8. Brownstone D., Bunch D.S., Train K.E. Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles. Transport. Res. Part B 2000, 34(5):315-338. 10.1016/S0191-2615(99)00031-4.
9. CATARC, 2009. China Automotive Technology and Research Center (CATARC) Automotive Industry Yearbook.
10. Choo S., Mokhtarian P.L. What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transport. Res. Part A: Policy Pract. 2004, 38(3):201-222. 10.1016/j.tra.2003.10.005.
11. Collantes G., Sperling D. The origin of California's zero emission vehicle mandate. Transport. Res. Part A: Policy Pract. 2008, 42(10):1302-1313. 10.1016/j.tra.2008.05.007.
12. Dagsvik J.K., Liu G. A framework for analyzing rank-ordered data with application to automobile demand. Transport. Res. Part A: Policy Pract. 2009, 43(1):1-12. 10.1016/j.tra.2008.06.005.
13. Davis S.C., Diegel S.W., Boundy R.G. Transportation Energy Data Book 2013, Oak Ridge National Laboratory. 32nd ed.
14. Dubin, J., Barney, R., Csontos, A., Um, J., & Wu, N. (2011). Realizing the Potential of the Los Angeles Electric Vehicle Market.
15. Elgowainy, A., Han, J., Poch, L., Wang, M., Vyas, A., Mahalik, M., & Rousseau, A. (2010). Well-to-Wheels Energy Use and Greenhouse Gas Emissions Analysis of Plug-in Hybrid Electric Vehicles.
16. Feit E.M., Beltramo M.A., Feinberg F.M. Reality Check: combining choice experiments with market data to estimate the importance of product attributes. Manage. Sci. 2010, 56(5):785-800. 10.1287/mnsc.1090.1136.
17. Fuchs E.R.H. Global manufacturing and the future of technology. Science 2014, 345(6196):519-520.
18. Goldberg P.K. The effects of the corporate average fuel efficiency standards in the US. J. Indust. Econ. 1998, 46(1):1-33. (retrieved). 10.1111/1467-6451.00059.
19. Golob T.F., Brownstone D., Bunch D.S. Commercial fleet demand for alternative-fuel vehicles in California. Transport. Res. Part A: Policy Pract. 1997, 31(3):219-233. 10.1016/S0965-8564(96)00017-1.
20. Graff Zivin J.S., Kotchen M.J., Mansur E.T. Spatial and temporal heterogeneity of marginal emissions: implications for electric cars and other electricity-shifting policies. J. Econ. Behav. Org. 2014, 107, Part A:248-268.
21. Heffner, R.R., Kurani, K.S., Turrentine, T.S., 2005. Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles. In: 21st Worldwide Battery, Hybrid, and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS-21). Monaco.
22. Hensher D.A., Louviere J., Swait J. Combining sources of preference data. J. Econ. 1999, 89:197-221.
23. Hess S., Hensher D.a., Daly A. Not bored yet - revisiting respondent fatigue in stated choice experiments. Transport. Res. Part A: Policy Pract. 2012, 46(3):626-644. 10.1016/j.tra.2011.11.008.
24. Jaramillo P., Samaras C., Wakeley H., Meisterling K. Greenhouse gas implications of using coal for transportation: life cycle assessment of coal-to-liquids, plug-in hybrids, and hydrogen pathways. Energy Policy 2009, 37(7):2689-2695. 10.1016/j.enpol.2009.03.001.
25. Ji S., Cherry C.R., Bechle M.J., Wu Y., Marshall J.D. Electric vehicles in China: emissions and health impacts. Environ. Sci. Technol. 2011, 46(4):2018-2024. 10.1021/es202347q.
26. Karabasoglu O., Michalek J.J. Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains. Energy Policy 2013, 60:445-461. 10.1016/j.enpol.2013.03.047.
27. Lang J., Cheng S., Zhou Y., Zhao B., Wang H., Zhang S. Energy and environmental implications of hybrid and electric vehicles in China. Energies 2013, 6(5):2663-2685. 10.3390/en6052663.
28. Lave C.A., Train K.E. A disaggregate model of auto-type choice. Transport. Res. A 1979, 13(1):1-9.
29. Liu, Y., Yang, Y., Klampfl, E., 2010. Energy Challenges the Automobile Industry Faces. In: International Association for Energy Economics Forum, 2nd Quarte, 17-20. < >(retrieved). http://www.iaee.org/en/publications/newsletterdl.aspx?id=97?
30. LMC Automotive, 2011. China Automotive Monthly Report.
31. Louviere J.J., Hensher D.A., Swait J.D. Stated choice methods: analysis and applications 2000, Cambridge University Press.
32. Ma L., Fu F., Li Z., Liu P. Oil development in China: current status and future trends. Energy Policy 2012, 45:43-53. 10.1016/j.enpol.2012.01.023.
33. Maritz, 2010. Passenger vehicle sales by city in China, Maritz New Car Buyer Survey.
34. McCarthy P.S. Market price and income elasticities of new vehicle demands. Rev. Econ. Stat. 1996, 78(3):543. 10.2307/2109802.
35. McFadden D., Train K.E. Mixed MNL models for discrete response. J. Appl. Econ. 2000, 15(5):447-470. 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1.
36. Michalek J.J., Chester M., Jaramillo P., Samaras C., Shiau C.-S.N., Lave L.B. Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits. Proc. Natl. Acad. Sci. USA 2011, 108(40):16554-16558. 10.1073/pnas.1104473108.
37. National Bureau of Statistics of China China Statistical Yearbook 2013 2013, China Statistics Press, Beijing, China.
38. OICA, 2013. World Motor Vehicle Production by Country and Type. < > (retrieved). http://www.oica.net/category/production-statistics/.
39. Samaras C., Meisterling K. Life cycle assessment of greenhouse gas emissions from plug-in hybrid vehicles: implications for policy. Environ. Sci. Technol. 2008, 42(9):3170-3176. 10.1021/es702178s.
40. Sandor Z., Wedel M. Heterogeneous conjoint choice designs. J. Mark. Res. 2005, 42(2):210-218.
41. Santini D.J., Vyas A.D. Suggestions for a new vehicle choice model simulating advanced vehicles introduction decisions (AVID): structure and coefficients. Transportation 2005.
42. Sematech, N., 2006. Engineering statistics handbook. NIST SEMATECH. < > (retrieved). http://www.itl.nist.gov/div898/handbook/.
43. Shin J., Hong J., Jeong G., Lee J. Impact of electric vehicles on existing car usage: a mixed multiple discrete-continuous extreme value model approach. Transport. Res. Part D: Transport Environ. 2012, 17(2):138-144. 10.1016/j.trd.2011.10.004.
44. Siler-Evans K., Azevedo I.L., Morgan M.G. Marginal emissions factors for the U.S. electricity system. Environ. Sci. Technol. 2012, 46(9):4742-4748. 10.1021/es300145v.
45. State Council, 2012. Notice about Enacting Energy Efficient and Alternative Energy Vehicles Industry Development Plan (in Chinese). < > (retrieved). http://www.gov.cn/zwgk/2012-??07/09/content_2179032.htm.
46. Train K.E. Discrete Choice Methods with Simulation 2009, Cambridge University Press. second ed.
47. Train K.E., Weeks M. Discrete choice models in preference space and willingness-to-pay space 2005, Springer, Netherlands, pp. 1-16.
48. Train K.E., Winston C. Vehicle choice behavior and the declining market share of US automakers. Int. Econ. Rev. 2007, 48(4):1469-1496.
49. Traut E.J., Cherng T.C., Hendrickson C., Michalek J.J. US residential charging potential for electric vehicles. Transport. Res. Part D: Transport Environ. 2013, 25:139-145. 10.1016/j.trd.2013.10.001.
50. Turrentine T.S., Kurani K.S. Car buyers and fuel economy?. Energy Policy 2007, 35(2):1213-1223. 10.1016/j.enpol.2006.03.005.
51. U.S. Congress, 2009. American Recovery and Reinvestment Act of 2009.
52. U.S. DOE, 2013a. Comparison of State Incentives for Plug-In Electric Vehicle Purchases. < > (retrieved 09.11.13). http://www1.eere.energy.gov/vehiclesandfuels/facts/m/2013_fotw789.html.
53. U.S. DOE, 2013b. Federal Laws and Incentives for EVs. < > (retrieved 09.04.13). http://www.afdc.energy.gov/laws/laws/US/tech/3270.
54. U.S. DOE, 2013c. Federal Laws and Incentives for HEVs/PHEVs. < > (retrieved 09.04.13). http://www.afdc.energy.gov/laws/laws/US/tech/3285.
55. U.S. EIA, 2011. Annual Energy Review 2011. Washington, D.C.
56. U.S. EIA, 2014. U.S. Energy Information Administration, International Energy Statistics. < >(retrieved). http://www.eia.gov/countries/data.cfm.
57. U.S. FHWA, 2013. Licensed Drivers, Vehicle Registrations, and Resident Population.
58. Xinhua, 2013. Beijing Unveils Preferential Policies for Electric Vehicles.
59. Zheng J., Mehndiratta S., Guo J.Y., Liu Z. Strategic policies and demonstration program of electric vehicle in China. Transport Policy 2012, 19(1):17-25. 10.1016/j.tranpol.2011.07.006.
60. Zhou G., Ou X., Zhang X. Development of electric vehicles use in China: a study from the perspective of life-cycle energy consumption and greenhouse gas emissions. Energy Policy 2013, 59:875-884. 10.1016/j.enpol.2013.04.057.
61. Ziegler A. Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: a discrete choice analysis for Germany. Transport. Res. Part A: Policy Pract. 2012, 46(8):1372-1385. 10.1016/j.tra.2012.05.016.