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Car ownership policies in China: Preferences of residents and influence on the choice of electric cars

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  • Yang, Xiaofang
  • Jin, Wen
  • Jiang, Hai
  • Xie, Qianyan
  • Shen, Wei
  • Han, Weijian

Abstract

To alleviate congestion, many Chinese cities have adopted either one of the two car ownership policies, namely, license plate auction or license plate lottery, to limit the number of cars on the road. In an effort to address the criticism associated with administering a single car ownership policy, cities are considering the possibility of carrying out both policies simultaneously, so that residents can choose whether to pay for the license plate through an auction or get it for free from a lottery but with a longer wait time. We study residents’ preferences toward the two car ownership policies when both are administered at the same time, a problem that has not been investigated in the literature. We then examine the influence of car ownership policies on the choice of electric cars, which is also new to the literature. Using data collected from a stated preference survey, we estimate mixed logit models using the hierarchical Bayes approach based on the Markov Chain Monte Carlo method. Results show that strong preference heterogeneity exists in respondents’ policy choice. We proceed to conduct regression analysis to explain the variations in the preferences toward license plate auction and electric cars. Our main results include: (1) We find that prospective car buyers in Beijing and Shanghai are willing to bid 27,000 yuan and 49,000 yuan to shorten their wait time to get car license plates by one year, respectively; (2) The subsidy to electric cars can be reduced by 102,000 yuan in Beijing and 85,000 yuan in Shanghai if the wait time for an electric car license plate is shortened by one year; (3) Car buyers in favor of license plate auction are those who are from high-income households, who are not buying their first cars, and who are below 30 or above 40 years old; and (4) When promoting the adoption of electric cars, policy incentives, such as making it easier to obtain an electric car license plate and providing attractive subsidies, are as important as the technological advancement electric car manufacturers strive to make, such as improving the driving range of electric cars.

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  • Yang, Xiaofang & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Car ownership policies in China: Preferences of residents and influence on the choice of electric cars," Transport Policy, Elsevier, vol. 58(C), pages 62-71.
  • Handle: RePEc:eee:trapol:v:58:y:2017:i:c:p:62-71
    DOI: 10.1016/j.tranpol.2017.04.010
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    1. Phang, Sock-Yong & Wong, Wing-Keung & Chia, Ngee-Choon, 1996. "Singapore's experience with car quotas : Issues and policy processes," Transport Policy, Elsevier, vol. 3(4), pages 145-153, October.
    2. Wang, Rui, 2010. "Shaping urban transport policies in China: Will copying foreign policies work?," Transport Policy, Elsevier, vol. 17(3), pages 147-152, May.
    3. Chu, Singfat, 2012. "Allocation flexibility and price efficiency within Singapore’s Vehicle Quota System," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1541-1550.
    4. Chen, Xiaojie & Zhao, Jinhua, 2013. "Bidding to drive: Car license auction policy in Shanghai and its public acceptance," Transport Policy, Elsevier, vol. 27(C), pages 39-52.
    5. Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Department of Economics, Working Paper Series qt7rf7s3nx, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Calfee, John E., 1985. "Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 287-301, August.
    7. Song, Fu-Tie & Zhou, Wei-Xing, 2010. "Analyzing the prices of the most expensive sheet iron all over the world: Modeling, prediction and regime change," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3538-3545.
    8. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    9. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    10. Koh, Winston T. H., 2003. "Control of vehicle ownership and market competition: theory and Singapore's experience with the vehicle quota system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(9), pages 749-770, November.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    12. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    13. Chin, Anthony & Smith, Peter, 1997. "Automobile ownership and government policy: The economics of Singapore's vehicle quota scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 129-140, March.
    14. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    15. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    16. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    17. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    18. Danny Campbell, 2007. "Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 467-483, September.
    19. Hao, Han & Ou, Xunmin & Du, Jiuyu & Wang, Hewu & Ouyang, Minggao, 2014. "China’s electric vehicle subsidy scheme: Rationale and impacts," Energy Policy, Elsevier, vol. 73(C), pages 722-732.
    20. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

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