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Green innovation is an important way for enterprises to achieve high-quality economic development, and it is also the way to achieve the goal of double carbon. Green innovation has therefore become a research hotspot. With the acceleration of the digitalization process in equipment enterprises, intelligent manufacturing equipment enterprises located at the top of the industrial chain are in urgent need of green core technology innovation activities. In order to explore the internal mechanism of core green technology innovation, this research introduces reputation theory into the evolutionary game analysis process. By constructing an evolutionary game model between the government and intelligent manufacturing equipment enterprises, this research analyzes the dynamic factors that affect the selection and evolution of the main strategies of the players in the evaluation game. The results show that corporate reputation, core green technology innovation profit, government subsidies, government reputation, and the cost for the government to support core technology, among other factors, importantly affect the game between the government and the enterprises. At the same time, since both the government and the enterprises are affected by the initial state and the maximization of the interests of both sides of the game, it is difficult for them to spontaneously reach an ideal stable and balanced state through a virtuous circle. The greater the profits and the reputation premium the core green technology innovation brings to the enterprises, the more favorable it is for the enterprises to choose core green technology innovation; government subsidies within a certain range will also drive enterprises to choose core green technology innovation. When the value of enterprise core green technology innovation is low, the cost for the government to support core green technology innovation is lower, enterprises will lose more opportunities and decline in global competitiveness, and it will become more favorable for the government to evolve towards supporting core green technology innovation. On the contrary, the government will gradually transfer its tangible hand to the intangible hand of the market based on the consideration of subsidies, innovation costs, and reputation. The results of this research are intended to provide a theoretical basis and practical reference for Chinese intelligent manufacturing equipment enterprises to better achieve green core technology innovation. [ABSTRACT FROM AUTHOR]

In the practice of various Internet-based sharing economies, environmental issues of shared products become more prominent and urgent. By analysing the relationship among government, enterprises, and consumers, this paper develops a system dynamics model based on the evolutionary game theory to explore the quantity change pattern of environment-friendly products in a sharing industry. A discrete dynamic system simulation of the quantity change process takes shared bikes in Beijing as a case study. The simulation results are consistent with the analysis of evolutionary game theory. The results show that government subsidies to both enterprises and consumers can lead to higher quantities of environment-friendly shared products, while consumer subsidy is better than enterprise subsidy. In addition, governments and enterprises need to ensure moderate investments to improve consumer experience and environmental awareness. [ABSTRACT FROM AUTHOR]

With the rapid development of information technology, the sharing economy based on "Internet plus" cloud platforms has become a new collaborative innovation mode and a hot topic in recent years. Considering that government regulation restricts green innovation cooperation among cloud manufacturing enterprises, an evolutionary game model involving the government and cloud manufacturing enterprises A and B with potential differences in their technology knowledge is established using evolutionary game theory. A replication dynamic equation is established, the evolutionarily stable equilibrium strategy of the three parties is analysed, and the key factors affecting the cooperative selection strategy of the government and cloud manufacturing enterprises are discussed through a MATLAB-based numerical simulation. This research shows that when governmental incentives and punishments, the platform load capacity, the trust between enterprises, the technology loss coefficient, and the informatization degree are increased, the government will tend to choose supervision, and cloud manufacturing enterprises A and B will tend to choose the "collaborative innovation" strategy. These results provide a scientific basis suggesting that the government should not only formulate rules and regulations for cloud manufacturing enterprises but also promote green collaborative innovation among such enterprises and enhance their core competitiveness. [ABSTRACT FROM AUTHOR]