Abstract
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.
Highlights
Greenhouse gas emissions’ reduction has become a global consensus. e Paris Agreement has planned for the post2020 global response to climate change, proposing to limit the rise in global average temperature to 2°C above preindustrial levels
We find that when the game players are only the governments and transportation enterprises, the behavior of the governments depends on the punitive tax revenue obtained by government supervision and the policy costs on environmental policy tools, and the behavior of enterprises depends on the profit changes brought from green innovation and not green innovation. is conclusion is more consistent with the facts. e governments should consider the financial balance when making policy interventions, and enterprises should take focus on the cost and benefit from green innovation
We built an evolutionary model between the governments and smart transportation enterprises to explore the behavior of the two groups
Summary
Greenhouse gas emissions’ reduction has become a global consensus. e Paris Agreement has planned for the post2020 global response to climate change, proposing to limit the rise in global average temperature to 2°C above preindustrial levels. Erefore, to weaken the external impact brought by green innovation, the governments must take effective measures to encourage transportation enterprises to introduce green technology innovation. E governments intervene in the green innovation behavior of transportation enterprises through effective environmental policies, such as innovation subsidies and carbon taxes [12,13,14,15]. In answer to the above questions, this paper constructed an evolutionary game model of the governments and smart transportation enterprises to explore the impact of governments policies on the enterprises’ innovation strategies. E above literature mainly focuses on the green innovation of industrial enterprises and few strategic studies on transportation enterprises It is not clear how the intensity of government policies affects enterprise decisions. It is not clear how the intensity of government policies affects enterprise decisions. erefore, we explored the evolutionary process between the governments and transportation enterprises and examined the impact mechanism of government behavior on green technology innovation of transportation enterprises
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