An evolutionary analysis on the effect of dual-credit policy on technology R & D diffusion among new-energy vehicle enterprises in complex network
摘要
The dual-credit policy (DCP) is anticipated to encourage new-energy vehicle (NEV) enterprises to perform technology R&D by distributing higher NEV-credits to NEVs with superior technical performance. However, use of information disparities between the government and enterprises to manipulate NEV output may result in unforeseen policy outcomes. The objective of this study is to explore the effectiveness of the DCP on promoting NEV enterprises’ engagement in technology R&D. Specifically, considering that enterprise’s technology R & D behavior is affected by technology spillover effect in the enterprise-level network, this paper investigates the impact of various DCP-related parameters on the diffusion of NEV technology R & D behavior by developing a dynamic agent-based model under complex network. The results show that: (1) increasing the credit limit for each NEV can encourage the spread of technology R & D, whereas the marginal effectiveness declines. (2) The increment of technical performance coefficient reduces the spread of technology R & D, while it exhibit no substantial effect on the overall ratio of enterprises with manipulation behavior. (3) High credit transaction prices not only have no significant impact towards spread of R & D behavior, but there emerges more NEV enterprises with manipulation behavior. (4) The improvement of regulatory is conducive to suppressing the manipulation behavior.