Consider payoff or emphasize learning? Exploring the effect of new dual-credit policy on electric vehicle diffusion in complex network

Abstract

In recent years, although the overall quality of the new energy vehicle (NEV) industry has shown an upward trend, it is difficult to ignore the turbulence in the production and sales of NEV. The impact caused by dual credit policy during the transition needs further analysis. In order to clarify the internal operating mechanism of the new dual-credit policy parameters and stably promote the booming development of the automobile industry, we construct a complex network evolutionary game model to analyze the impact of the new dual-credit policy on the electric vehicle (EV) diffusion, and further discuss the influence of different update strategies on EV diffusion. The results indicate that with the increase of NEV credit accounting coefficient, the upper limit of threshold interval of NEV credit trading price remains unchanged, while lower limit decreases. With the decrease of ratio of standard CAFC to target CAFC or the increase of requirement of NEV credits for fuel vehicle manufacturer, the upper and lower limits of threshold interval of NEV credit price are reduced. With the increasing network scale, the driving effect of Fermi function is gradually superior to EWA algorithm. These results not only reveal the complex mechanism of policy parameters on EV diffusion, but also provide theoretical basis and practical guidance for optimizing NEV industry policies.