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The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China

Journal Article · · Energy Policy
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  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center
  2. China Automotive Technology and Research Center, Tianjin (China)
  3. Aramco Services Company: Aramco Research Center, Detroit, MI (United States)
We report that the Passenger Cars Corporate Average Fuel Consumption and New Energy Vehicle Credit Regulation (dual-credit policy) was enacted by the Chinese government in 2017 to stimulate the fuel-efficient and electrification technologies in the China's passenger vehicle market. Here, this study summarizes the dual-credit policy and develops the New Energy and Oil Consumption Credits Model to quantify the impacts of this policy on consumer choices and industry profits, where internal subsidies as decision variables are used to represent industry responses to the policy. Scenarios in 2016–2020 are simulated and discussed. Key findings from the model results include: (1) the Corporate Average Fuel Consumption rules alone may stimulate more plug-in electric vehicle (PEV) sales than the dual-credit policy; however, (2) the dual-credit policy could stimulate more battery electric vehicles (BEVs) in market, compared to other policy scenarios; (3) the industry could “lose” approximately $2122/vehicle by 2020 under the dual-credit policy; (4) battery electric sedans with a range greater than 250 km and plug-in hybrid SUVs could be popular under the dual-credit policy; (5) credit allocations for BEVs in the dual-credit policy can influence the PEV production; and (6) reduction of the fuel-efficient technology costs helps to minimize profit losses impacted by the policy.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1470890
Journal Information:
Energy Policy, Journal Name: Energy Policy Journal Issue: C Vol. 121; ISSN 0301-4215
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (5)

A hybrid multi‐output‐predictive modelling based NSGA II approach for dimensions design optimization of battery pack module for electric vehicles journal January 2020
Technology development for electric vehicles under new energy vehicle credit regulation in China: scenarios through 2030 journal November 2018
Intensity and daily pattern of passenger vehicle use by region and class in China: estimation and implications for energy use and electrification journal October 2019
China and the Reshaping of the Auto Industry: A Dynamic Capabilities Perspective journal March 2019
China’s Electric Vehicle Deployment: Energy and Greenhouse Gas Emission Impacts journal November 2018