Yi Xu

To address the imbalance in the supply and demand of applied talents in the context of the deep integration of AI technology and business studies, based on the theory of industry-education integration and the laws of cultivating applied talents, this paper constructs a three-dimensional training path of “AI technology - business demand - industry-education collaboration”. It is implemented from four dimensions: curriculum system reconfiguration, teaching mode innovation, practice platform establishment, and teacher team building. A multi-dimensional evaluation index system is established, and multiple linear regression and random forest models are introduced to conduct quantitative assessment of the training effect. Taking two pilot majors of “AI + business” in two universities as cases, through the analysis of 186 students’ training data and feedback information from 32 cooperating enterprises, the results show that this training path can increase students’ comprehensive application ability in AI + business by 18.6%, and the satisfaction of enterprises with the job adaptability of graduates reaches 89.2%. The evaluation accuracy of the random forest model is 12.3% higher than that of the multiple linear regression model, verifying the feasibility of the path and the superiority of the machine learning evaluation model. The research provides practical reference for the reform of “AI + business” talent cultivation in universities and the optimization of the school-enterprise collaborative education mechanism, and helps to achieve the deep implementation of industry-education integration and AI technology in the field of business.

To accelerate achieving carbon neutrality, the promotion of low-carbon development in the manufacturing industry has been facilitated by the government’s implementation of policies such as carbon taxation and carbon emissions trading. These measures have been put in place to reduce carbon emissions and enhance sustainability within the manufacturing sector. Remanufacturing is an important direction for the low-carbon transformation of enterprises, and improving remanufactured product quality is crucial to the sustainability of remanufacturing enterprises. To elucidate the influence of policies aimed at reducing carbon emissions on the quality of remanufactured products, we developed a game model involving three key players: the original equipment manufacturer (OEM), the remanufacturer (IR), and retailers. This model was constructed based on the heterogeneous consumer demand for both new and remanufactured products. The study delved into the effects of various governmental policies aimed at reducing carbon emissions on the quality-related decisions made by remanufacturing enterprises. Our primary focus was on the implementation of two specific policies: a high-level carbon taxation policy and a carbon trading policy characterized by elevated carbon pricing. These policies create a favorable environment for remanufacturers (IR) to enhance the quality of their products. The sales of remanufactured products are influenced by the purchasing preferences of consumers, and carbon reduction policies can be effective in reducing the total environmental impact of manufacturing. Carbon trading policy is most conducive to environmental protection and achieves a win–win situation for economic and environmental benefits for OEMs and IRs when the carbon tax per unit is compared with the carbon trading price. Hence, this situation is favorable for the sustainable growth of existing remanufacturing businesses. Consequently, the government’s requirement for subsidies to enhance the quality of remanufactured products and boost the competitiveness of IRs in the market becomes less pronounced.

Green development is an important connotation of high-quality development and is one of the goals of scientific and technological innovation. This study constructs a data-driven measurement model of the green development efficiency of regional sci-tech finance, measures the green development efficiency of sci-tech finance by using the super-slack-based measure model, and deeply analyses and evaluates the changes in green development efficiency of regional sci-tech finance by calculating Malmquist index. This study calculates the green development efficiency of sci-tech finance in the Yangtze River Delta. Results show that the green development efficiency of sci-tech finance in the Yangtze River Delta is on the rise as a whole and maintains an efficient state, but differences are observed between provinces and cities. This study provides theoretical and methodological support for the evaluation of the green development efficiency of regional sci-tech finance and serves as reference for policy makers and researchers of sci-tech finance.

To analyze the impact of government carbon tax and subsidy policies on the manufac turing industry in the context of carbon peaking and carbon neutrality. This paper constructs a game model based on two government policies: a “carbon tax” policy for the original product and a “subsidy” policy for the remanufactured product, taking the original product and the remanufactured product as the objects. The policy game model is used to study the impact of carbon taxes, government subsidies, and carbon emissions on product quality, sales, and corporate profits. The results show that under the carbon tax and government subsidy policies, the price of remanufactured products will decrease, the quality will increase, sales will improve, and remanufacturers’ profits will increase; these outcomes are conducive to the development of remanufacturing enterprises. Meanwhile, the price of original products will increase, quality will decrease, sales will decline, and original equipment manufacturers will have to develop and adopt low-carbon technologies to achieve sustainable development. This paper provides decision support for the formulation of government carbon emission policy, and theories and methods for the sustainable development of the manufacturing industry.