4.7 Article

Optimal electric vehicle production strategy under subsidy and battery recycling

Journal

ENERGY POLICY
Volume 109, Issue -, Pages 579-589

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2017.07.043

Keywords

Electric vehicle; Production strategy; Subsidy; Battery recycling; Loss aversion

Funding

  1. National Natural Science Foundation of China [71320107001, 71401129]
  2. Research Center of Service Science and Engineering at Wuhan University of Science and Technology

Ask authors/readers for more resources

Government subsidy and battery recycling are two common practical issues in the electric vehicle (EV) market. This study investigates a loss-averse EV manufacturer's optimal production strategy under uncertain market demand in the presence of both government subsidy and battery recycling. An analytical model is built and related optimal solution and numerical experiments are provided. Results indicate that increased subsidy promotes the manufacturer's optimal production quantity and expected utility. Increased battery recycling rate promotes the manufacturer's optimal production quantity. However, the manufacturer's expected utility decreases with the battery recycling rate if the optimal production quantity is sufficiently small. This result implies that the manufacturer may prefer a relatively small battery recycling rate when the market scale is small. Consequently, the government should establish regulations to promote battery recycling for environmental protection. We find that either subsidy or battery recycling can offset the negative effects of loss aversion on the optimal production quantity and expected utility. The majority of our results still hold if we consider multiple repurposing options for used batteries or an alternative subsidy mechanism. In particular, the manufacturer's optimal production quantity and expected utility are higher under cost subsidy mechanism than under consumer subsidy mechanism.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available