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How costly are driving restrictions? Contingent valuation evidence from Beijing

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  • Blackman, Allen
  • Qin, Ping
  • Yang, Jun

Abstract

A common policy response to severe air pollution and traffic congestion in developing-country megacities is to ban the driving of vehicles with license plates ending in certain numbers on certain days. We use the contingent valuation method to estimate the costs to drivers of Beijing’s driving restrictions program, one of the world’s largest. Our study generates three main findings. First, costs are substantial: RMB 356 to 709 (US $54 to $107) per driver per year, which represents 0.5 to 1 percent of annual income, and RMB 1.6 billion to 3.3 billion (US $247 million to $493 million) per year for all drivers. Second, comparison of our cost estimates with estimates of the benefits of Beijing’s program from other studies suggests that the benefits exceed the costs. Finally, the costs per driver are significantly smaller than the costs (estimated using the same methods) of Mexico City’s program, which by most accounts has had zero benefits. These findings provide some of the strongest evidence to date that driving restrictions programs can, given certain conditions, have net benefits. They also suggest that relatively high program costs are not a necessary condition for significant program benefits—in fact, the opposite may be true.

Suggested Citation

  • Blackman, Allen & Qin, Ping & Yang, Jun, 2020. "How costly are driving restrictions? Contingent valuation evidence from Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
  • Handle: RePEc:eee:jeeman:v:104:y:2020:i:c:s0095069620300899
    DOI: 10.1016/j.jeem.2020.102366
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    as
    1. Lucas W. Davis, 2008. "The Effect of Driving Restrictions on Air Quality in Mexico City," Journal of Political Economy, University of Chicago Press, vol. 116(1), pages 38-81, February.
    2. Maureen Cropper & Yi Jiang & Anna Alberini & Patrick Baur, 2014. "Getting Cars Off the Road: The Cost-Effectiveness of an Episodic Pollution Control Program," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(1), pages 117-143, January.
    3. Bente Halvorsen & Kjartan Sœlensminde, 1998. "Differences between Willingness-to-Pay Estimates from Open-Ended and Discrete-Choice Contingent Valuation Methods: The Effects of Heteroscedasticity," Land Economics, University of Wisconsin Press, vol. 74(2), pages 262-282.
    4. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    5. Krupnick, Alan & Alberini, Anna & Cropper, Maureen & Simon, Nathalie & O'Brien, Bernie & Goeree, Ron & Heintzelman, Martin, 2002. "Age, Health and the Willingness to Pay for Mortality Risk Reductions: A Contingent Valuation Survey of Ontario Residents," Journal of Risk and Uncertainty, Springer, vol. 24(2), pages 161-186, March.
    6. Richard Carson & Robert Mitchell & Michael Hanemann & Raymond Kopp & Stanley Presser & Paul Ruud, 2003. "Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez Oil Spill," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 257-286, July.
    7. Guo, Xiaoqi & Haab, Timothy C. & Hammitt, James K., 2006. "Contingent Valuation and the Economic Value of Air-Pollution-Related Health Risks in China," 2006 Annual meeting, July 23-26, Long Beach, CA 21366, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    9. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    10. de Grange, Louis & Troncoso, Rodrigo, 2011. "Impacts of vehicle restrictions on urban transport flows: The case of Santiago, Chile," Transport Policy, Elsevier, vol. 18(6), pages 862-869, November.
    11. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    12. Paul E. Carrillo & Arun S. Malik & Yiseon Yoo, 2016. "Driving restrictions that work? Quito's Pico y Placa Program," Canadian Journal of Economics, Canadian Economics Association, vol. 49(4), pages 1536-1568, November.
    13. Gallego, Francisco & Montero, Juan-Pablo & Salas, Christian, 2013. "The effect of transport policies on car use: Evidence from Latin American cities," Journal of Public Economics, Elsevier, vol. 107(C), pages 47-62.
    14. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    15. James Hammitt & Ying Zhou, 2006. "The Economic Value of Air-Pollution-Related Health Risks in China: A Contingent Valuation Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(3), pages 399-423, March.
    16. Wang, Lanlan & Xu, Jintao & Qin, Ping, 2014. "Will a driving restriction policy reduce car trips?—The case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 279-290.
    17. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    18. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    19. Allen Blackman & Zhengyan Li & Antung A. Liu, 2018. "Efficacy of Command-and-Control and Market-Based Environmental Regulation in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 381-404, October.
    20. Allen Blackman & Francisco Alpízar & Fredrik Carlsson & Marisol Rivera Planter, 2018. "A Contingent Valuation Approach to Estimating Regulatory Costs: Mexico’s Day without Driving Program," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(3), pages 607-641.
    21. Wang, Lanlan & Xu, Jintao & Zheng, Xinye & Qin, Ping, "undated". "Will a Driving Restriction Policy Reduce Car Trips? A Case Study of Beijing, China," RFF Working Paper Series dp-13-11-efd, Resources for the Future.
    22. Sun, Cong & Zheng, Siqi & Wang, Rui, 2014. "Restricting driving for better traffic and clearer skies: Did it work in Beijing?," Transport Policy, Elsevier, vol. 32(C), pages 34-41.
    23. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    24. Xueying Lu, 2016. "Effectiveness of government enforcement in driving restrictions: a case in Beijing, China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(1), pages 63-92, January.
    25. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    26. Jorge A Bonilla, 2019. "The More Stringent, the Better? Rationing Car Use in Bogotá with Moderate and Drastic Restrictions," The World Bank Economic Review, World Bank, vol. 33(2), pages 516-534.
    27. Sperling, Daniel & Gordon, Deborah, 2009. "Two Billion Cars: Driving Toward Sustainability," OUP Catalogue, Oxford University Press, number 9780195376647.
    28. Federico Belotti & Partha Deb & Willard G. Manning & Edward C. Norton, 2015. "twopm: Two-part models," Stata Journal, StataCorp LP, vol. 15(1), pages 3-20, March.
    29. Yu, Xiaohua & Abler, David, 2010. "Incorporating zero and missing responses into CVM with open-ended bidding: willingness to pay for blue skies in Beijing," Environment and Development Economics, Cambridge University Press, vol. 15(5), pages 535-556, October.
    30. David Hensher & Nina Shore & Kenneth Train, 2006. "Water Supply Security and Willingness to Pay to Avoid Drought Restrictions," The Economic Record, The Economic Society of Australia, vol. 82(256), pages 56-66, March.
    31. Timilsina, Govinda R. & Dulal, Hari B., 2008. "Fiscal policy instruments for reducing congestion and atmospheric emissions in the transport sector : a review," Policy Research Working Paper Series 4652, The World Bank.
    32. Zhang, Wei & Lin Lawell, C.-Y. Cynthia & Umanskaya, Victoria I., 2017. "The effects of license plate-based driving restrictions on air quality: Theory and empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 181-220.
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    Cited by:

    1. Shihe Fu & V. Brian Viard, 2022. "A mayors perspective on tackling air pollution," Chapters, in: Charles K.Y. Leung (ed.), Handbook of Real Estate and Macroeconomics, chapter 16, pages 413-437, Edward Elgar Publishing.
    2. Rivera, Nathaly M., 2021. "Air quality warnings and temporary driving bans: Evidence from air pollution, car trips, and mass-transit ridership in Santiago," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    3. Lyu, Xueying, 2022. "Car restriction policies and housing markets," Journal of Development Economics, Elsevier, vol. 156(C).
    4. Lin, Shichao & Zhu, Songwei & Li, Xiangmin & Li, Ruimin, 2022. "Effects of strict vehicle restrictions on various travel modes: A case study of Zhengzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 310-323.
    5. Soto, Jose J. & Macea, Luis F. & Cantillo, Victor, 2023. "Analysing a license plate-based vehicle restriction policy with optional exemption charge: The case in Cali, Colombia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    6. Li, Wenbo, 2023. "The effect of China's driving restrictions on air pollution: The role of a policy announcement without a stated expiration," Resource and Energy Economics, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Contingent valuation; Driving restrictions; Stated preference; Regulatory cost; Command-and-control; Transportation;
    All these keywords.

    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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