How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model
- 1. Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes, Anhui University of Technology, Ma'anshan, 243002 (China)
- 2. School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, 243032 (China)
- 3. Department of Operation and Logistics Management, School of Business Administration, Northeastern University, Shenyang, 110167 (China)
- 4. College of Economics & Management, Shandong University of Science and Technology, Qingdao, 266590 (China)
Description
Highlights: • A three-stage evolutionary game model for NEV diffusion is developed. • Impact of subsidies on NEV diffusion is analyzed from diffusion depth and speed. • The NEV diffusion process is simulated in four kinds of authoritative networks. • Network topologies influencing NEV diffusion are divided into two priorities. • The network structure exhibiting the best performance in NEV diffusion is found. In order to cope with the impact of current coronavirus disease 2019 (COVID-19), the continued extension of financial subsidy period for new energy vehicles at the national level is a strong measure to support the sustainable development of new energy vehicle (NEV) industry. This paper further explores the promotion impact of government subsidies on NEV diffusion, and establishes a three-stage evolutionary game model. Based on the actual application, the NEV diffusion process is simulated in four kinds of authoritative networks. Results show that: (1) in the scale-free network, the subsidy rate must be high enough to promote full NEV diffusion, and the larger the network scale, the higher the threshold of subsidy rate; (2) in the small-world network, the larger the network scale, the more beneficial it is for full NEV diffusion; (3) for the small-scale network, topological characteristics have little effect on NEV diffusion depth, and only affect the speed when NEV diffusion reaches the stable state; (4) for the large-scale network, NEV diffusion in the scale-free network is more sensitive to the subsidy rate than that in the small-world network; (5) network topologies influencing NEV diffusion can be divided into two priorities. Finally, relevant policy recommendations are presented.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2021.120899Additional details
Identifiers
- DOI
- 10.1016/j.energy.2021.120899;
- PII
- S0360544221011476;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 230
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53112397
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- AUTOMOTIVE INDUSTRY; COMPUTERIZED SIMULATION; ENERGY POLICY; ENVIRONMENTAL POLICY; FINANCIAL INCENTIVES; PERFORMANCE; RECOMMENDATIONS; SUSTAINABLE DEVELOPMENT; VEHICLES
- Descriptors DEC
- GOVERNMENT POLICIES; INDUSTRY; RESOURCE DEVELOPMENT; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.