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Regulatory and technology lead-time: The case of US automobile greenhouse gas emission standards

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  • Lutsey, Nicholas

Abstract

The automobile industry and regulatory agencies around the world are coping with the uncertainties of regulatory lead-time and technology deployment for increased vehicle efficiency and reduced greenhouse gas (GHG) emissions. The regulation of GHG emissions in the US, with adoption of 2016 standards and ongoing work toward 2025 standards, provides a rich case study to assess questions about the appropriate amount of lead-time to promote sustained long-term investment in vehicle efficiency technology. This analysis examines the milestones, phase-in, lead-time, investments, technology diffusion, and GHG emission progress-to-date toward 2016 standards in the US. The findings suggest that the 2016 rulemaking process establishes a strong model for regulatory lead-time, allowing for ample time for industry to make the necessary investments to meet their GHG reduction commitments by 2016. The 2025 rulemaking continues this strong precedent for extended regulatory lead-time and has led to near unanimous automaker support. The 13-year lead-time for 2025 standards is appropriate to help reduce technology investment risk and sustain long-term capital investments, and it is especially fitting for the difficult task of launching advanced electric-drive technologies for deep long-term GHG emission cuts.

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  • Lutsey, Nicholas, 2012. "Regulatory and technology lead-time: The case of US automobile greenhouse gas emission standards," Transport Policy, Elsevier, vol. 21(C), pages 179-190.
  • Handle: RePEc:eee:trapol:v:21:y:2012:i:c:p:179-190
    DOI: 10.1016/j.tranpol.2012.03.007
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    6. Celalettin Yuce & Fatih Karpat & Nurettin Yavuz & Gökhan Sendeniz, 2014. "A Case Study: Designing for Sustainability and Reliability in an Automotive Seat Structure," Sustainability, MDPI, vol. 6(7), pages 1-24, July.
    7. Wang, Sinan & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2017. "Heuristic method for automakers' technological strategy making towards fuel economy regulations based on genetic algorithm: A China's case under corporate average fuel consumption regulation," Applied Energy, Elsevier, vol. 204(C), pages 544-559.
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    Keywords

    Vehicle; Regulation; Lead-time;
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