Government Low-Carbon Policies Optimization for Smart Transportation Enterprises

As an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation...

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Bibliographic Details
Published in:Discrete dynamics in nature and society 2022, Vol.2022 (1)
Main Authors: Gao, Kai, Guo, Xin, Liu, Tingting, Han, Rui
Format: Article
Language:English
Subjects:
Analysis
Behavior
Carbon
China
Clean technology
Climate change
Competitive advantage
Cooperation
Emissions
Energy conservation
Environmental policy
Externality
Game theory
Government
Green technology
Greenhouse gases
Impact analysis
Innovations
Optimization
Political activity
Political aspects
Product development
Retail stores
Strategy
Subsidies
Supply chains
Transportation industry
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Summary:As an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation. In this study, we conducted an evolutionary game model of the interaction between the governments and smart transportation enterprises, which depended on innovation subsidies and punitive taxes. Besides, we derived the evolutionarily stable strategy of the governments and enterprises and used a simulation to analyze the impact of various policy tools on green innovation strategy. The results showed that the behavior of the governments relies on the benefits of supervision and the costs of supporting green technology innovation. The enterprises’ behavior depends on the benefits of green innovation and the loss of no green innovation. Moreover, different policy tools provided by the governments can accelerate the implementation of enterprises’ green innovation.
ISSN:1026-0226
1607-887X
DOI:10.1155/2022/1099147