Abstract
A grey game model is constructed for enterprise carbon emissions reduction and government policies on energy conservation, which explains the interaction equilibrium strategies between government and enterprises with resource constraints. The MATLAB tools are used to simulate the game process, and the result shows that the optimal strategy is consistent with the operation result. Finally, macroscopic countermeasures and suggestions are proposed for government and enterprise.
Highlights
Under the guidance of the energy saving and emission reduction during the 12th five-year plan, China has made remarkable achievements
In order to provide policy references for energy saving and emission reducing, a grey game model is constructed to mobilize the endogenous dynamic of enterprise, improve the high consumption and high emissions of logistics industry, and promote sustainable economic development
When energy conservation and emissions reduction are proposed, government and enterprise constitute an entia of contradictions; both choose the optimal strategy to maximize their interests with game
Summary
Under the guidance of the energy saving and emission reduction during the 12th five-year plan, China has made remarkable achievements. Waisman et al proposed the complementary framework of carbon price It significantly reduced the carbon emission in long-term transportation, slowing down the increase of carbon price [3]; Rizet et al calculated the amount of carbon emission in different supply chains by using the genetic algorithm method [4]; Dekker et al reviewed the integrated logistics in green logistics and environmental aspects in production [5]; Zhao et al analyzed the endogenous transaction cost of the carbon emission in industry and constructed a low carbonization location mode of multiple distribution centers [6]. In order to provide policy references for energy saving and emission reducing, a grey game model is constructed to mobilize the endogenous dynamic of enterprise, improve the high consumption and high emissions of logistics industry, and promote sustainable economic development. Maximizing benefits optimal strategies and measures can be expected with the balance of overall performance, and the rationality and validity of model are verified with simulation method
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