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A Contingent Valuation Approach to Estimating Regulatory Costs: Mexico’s Day without Driving Program

Author

Listed:
  • Allen Blackman
  • Francisco Alpízar
  • Fredrik Carlsson
  • Marisol Rivera Planter

Abstract

Little is known about the cost of environmental regulations that target households instead of firms, partly because of significant methodological and data challenges. We use the contingent valuation method to measure the costs of Mexico City’s Day without Driving program, which seeks to stem pollution and traffic congestion by prohibiting vehicles from being driven one day each week. To our knowledge, ours is the first study to focus directly on using stated preference methods to isolate and estimate the private costs of an existing environmental regulation. We find that the Mexican program’s costs are substantial: up to US$130 per vehicle per year, which represents 1%–2% of drivers’ annual income and implies total costs of US$617 million per year. Recent research questions whether driving restrictions programs like Mexico City’s actually have environmental benefits. Our results suggest that whatever benefits these programs may have, they can be quite costly.

Suggested Citation

  • 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.
  • Handle: RePEc:ucp:jaerec:doi:10.1086/697416
    DOI: 10.1086/697416
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    Cited by:

    1. 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).
    2. Brent, Daniel & Beland, Louis-Philippe, 2020. "Traffic congestion, transportation policies, and the performance of first responders," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    3. 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.
    4. Jie Ma & Lin Cheng & Dawei Li & Qiang Tu, 2018. "Stochastic Electric Vehicle Network Considering Environmental Costs," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    5. Yanez-Pagans, Patricia & Martinez, Daniel & Mitnik, Oscar A. & Scholl, Lynn & Vazquez, Antonia, 2018. "Urban Transport Systems in Latin America and the Caribbean: Challenges and Lessons Learned," IZA Discussion Papers 11812, Institute of Labor Economics (IZA).
    6. Beaudoin, Justin & Chen, Yuan & Heres, David R. & Kheiravar, Khaled H. & Lade, Gabriel E. & Yi, Fujin & Zhang, Wei & Lin Lawell, C.-Y. Cynthia, 2018. "Environmental Policies in the Transportation Sector: Taxes, Subsidies, Mandates, Restrictions, and Investment," ISU General Staff Papers 201808150700001050, Iowa State University, Department of Economics.
    7. Ola Andersson & Pol Campos‐Mercade & Fredrik Carlsson & Florian H. Schneider & Erik Wengström, 2022. "The impact of stay‐at‐home policies on individual welfare," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 340-362, April.
    8. Salgado, Edgar & Mitnik, Oscar A., 2021. "Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Limas Pico y Placa Policy," IDB Publications (Working Papers) 11818, Inter-American Development Bank.
    9. repec:col:000089:016856 is not listed on IDEAS
    10. Gang Cheng & Shuzhi Zhao & Di Huang, 2018. "Understanding the Effects of Improving Transportation on Pilgrim Travel Behavior: Evidence from the Lhasa, Tibet, China," Sustainability, MDPI, vol. 10(10), pages 1-13, October.
    11. 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).

    More about this item

    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
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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