Based on the reality of safety production in manufacturing enterprises and the background of industrial Internet, a tripartite evolutionary game model of industrial internet safety production supervision platform-manufacturing enterprises-government was constructed to analyze and verify the stability of the system’s evolutionary strategy. The effects of the commission coefficient paid by the manufacturing enterprises, the development and operating cost coefficient of the platform, and the amount of fines imposed by the government on the platform on the evolution results are studied. The results show that increasing the commission coefficient paid by manufacturing enterprises can improve the probability of the platform choosing a high degree of safety production supervision service level and the probability of manufacturing enterprises choosing to join the industrial Internet safety production supervision platform. Reducing the development and operating cost coefficient of the platform can improve the probability of the platform choosing a high degree of production safety supervision service level. Increasing the amount of fines imposed by the government on the platform can improve the probability of the platform choosing a high degree of production safety supervision service level, and the probability of the government choosing to actively regulate the industrial Internet production safety supervision platform.

The impact of enterprise digital transformation on total factor productivity and its mechanism were empirically tested based on the sample of Shanghai and Shenzhen A-share manufacturing listed companies from 2011 to 2022.It is found that the digital transformation of enterprises can transform data into production factors, optimize production processes, improve the efficiency of resource allocation, and improve total factor productivity.The mechanism analysis shows that digital transformation can enhance innovation efficiency, promote enterprises to accelerate process change and business model innovation, and further improve total factor productivity. Heterogeneity analysis shows that the promotion effect of enterprise digital transformation on total factor productivity varies with the nature of property rights, the nature of high-tech enterprises and the degree of regional marketization. It is suggested that the government should strengthen investment in digital infrastructure and improve innovation policies, and enterprises should actively embrace digital transformation, strengthen data governance and improve the efficiency of resource allocation.

In order to study the impact of enterprise cost sharing and government subsidies on the green effort level, pricing and profit of green supply chain members, considering a green supply chain consisting of a manufacturer and a retailer, four models were established: no cost sharing and no government subsidy(NN), cost sharing but no government subsidy(CN), cost sharing and government subsidy manufacturer(CM) and cost sharing and government subsidy retailer(CB). The Stackelberg game was used to solve the problem, and calculation results were analyzed. The research shows that the manufacturer’s profit is positively correlated with the green R&D cost sharing ratio, and the green marketing cost sharing ratio and the government subsidy coefficient increase first and then decrease. The retailer’s profit is negatively correlated with the proportion of green R&D cost sharing and the proportion of green marketing cost sharing, and it increases first and then decreases with the government’s subsidy coefficient. Finally, based on the research conclusions, relevant suggestions are put forward to provide decision-making ideas for green supply chain cost sharing and government subsidy business.

In the context of carbon peaking and carbon neutrality, corporate green behavior has attracted attention, and environmental information has become increasingly important. As enterprises with high emissions, high energy consumption, and significant environmental pressure, heavily polluting enterprises have brought about a series of environmental, resource, and social issues during their production and operation. Therefore, it is crucial to pay more attention to the environmental information status of heavily polluting enterprises. Taking Baoshan Iron & Steel Co., Ltd. as an example, the current status of its environmental information disclosure was examined, existing issues were identified. Relevant coutermeasures and suggestions are proposed for both the government and the enterprise itself based on these issues. The aim is to improve the quality of environmental information among heavily polluting enterprises, resolve the problems arising from environmental information asymmetry, and further promote high-quality development of these enterprises.

New quality productivity relies on technological innovation to achieve efficient production through strategic emerging industries, and research and development investment is the key to its formation. By constructing a computable general equilibrium model to explore the inherent logic of the impact of R&D investment on the development of new quality productivity at the theoretical level, data from listed companies from 2000 to 2019 was used for empirical analysis. The results show that R&D investment significantly improves the overall factor productivity of high-tech industries. The degree of economic marketization plays a regulatory role in this process, with the central region being most significantly affected, followed by the eastern region, and the western region having the least impact. In addition, the government market relationship in the eastern region plays an important role in regulating the impact of high-tech enterprise R&D investment on total factor productivity. The study reveals the differential impact of R&D investment on total factor productivity in different regions, and suggests continuously increasing R&D capital for strategic emerging industries and implementing differentiated policies according to local conditions to promote economic development.

Under the “dual carbon” goals, the awareness of social sustainable development has been enhanced, and ESG(environmental, social, and governance)responsibility has received increasing attention, with an increasingly prominent impact on corporate green technology innovation. Selecting 2656 A-share listed manufacturing companies from 2013 to 2022 as samples, a multidimensional fixed effects model and a difference in differences model were constructed to explore the impact of ESG responsibility on green technology innovation in manufacturing companies. It is found that firstly, fulfilling ESG responsibilities in manufacturing enterprises can promote green technology innovation, especially in state-owned and technology intensive enterprises. Secondly, ESG accountability enhances the ability of enterprises to absorb knowledge and skills by promoting human education and skill upgrading, thereby improving green technology innovation. This mechanism is particularly significant in state-owned and technology intensive enterprises. Finally, the impact of the “dual carbon” goals on green technology innovation is that low-carbon enterprises have better implementation effects than high carbon enterprises.

Compared with the traditional national system, the new characteristics of the new national system are facing a new era background, based on a new institutional foundation,shouldering new historical tasks, and based on new development conditions. The implementation of the new national system needs to follow the complementary logic of a proactive government and an effective market,the dialectical logic of independent innovation and open innovation,the unified logic of problem orientation and free exploration, and the mutually reinforcing logic of basic research and applied research. Five key mechanisms were constructed to promote the implementation of the new national system, namely the strategic guidance policy traction mechanism,the market determined resource allocation mechanism,the continuous support mechanism for basic research,the linkage mechanism of education and technology talents,and the coordination mechanism of strategic scientific and technological forces.

The analysis of the change of rural residential land use and rural permanent resident population is helpful to better understand the relationship between rural people and land. The county area of Guangdong Province was selected as the research unit, based on the annual change data of land use and the third national land survey data, the dynamic coupling and decoupling model were used to analyze the rural residential land and permanent resident population. The results show that the coupling types of the rural resident population and rural settlements in Guangdong province are mainly negative and high level coupling types, and the coupling characteristics are obvious. The negative coupling area is located in the Pearl River Delta and northern Guangdong, and the high level coupling areas are mainly distributed in western Guangdong. The decoupling type is mainly strong negative decoupling and expansionary, which are distributed in northern Guangdong and western Guangdong respectively, which shows that the western Guangdong region has great development potential. The conclusion of the study shows that the change characteristics and coupling of rural residential land and permanent resident population is a direct reflection of the relationship between rural people and land, and the research results can provide reference for the reform of rural land system and the development of rural industry.

The signing of RCEP(Regional Comprehensive Economic Partnership Agreement) provides an important platform for exchanges and mutual learning between Chinese and foreign civilizations, and also provides a valuable opportunity for the export of Chinese cultural products. Based on the data of China to RCEP partner countries from 2009 to 2022 in the United Nations Trade Statistics Database, the method of gravity model was used to study the influencing factors and potential of China’s cultural product export trade to RCEP countries. The results show that the economic scale, population size, and whether the two sides have a common language have a significant positive effect on the growth of China’s cultural product exports. China has great potential for RCEP to carry out export trade of cultural products, and there is still a broad space for cooperation in the future. In order to further lease China's exports of cultural products to its partner countries, China should improve the relevant legal system, optimize the structure of cultural products, and strengthen multilateral cooperation mechanisms with RCEP countries.

Enhancing the effectiveness of industry-academia collaborative development in the region is a common concern of schools, local enterprises, and the prerequisite for promoting this work is to find out the current situation of patent utilization and technology supply and demand between enterprises and universities. Existing patent analysis is mainly concerned about the transfer or licenses, lacking the attention of university-industry cooperation and non-technical factors driving the transfer of patents, whose problem led to a need to improve the identification of the technological needs of enterprises. With the research object of enterprises and universities in Pidu District of Chengdu City, comprehensive patent data and industrial and commercial data reveal the patent utilization status quo and patent technology demand of schools and enterprises in the region, the technological crossroads of schools and enterprises were sort out. Suggestions on regional patent management are put forward based on the comprehensive enterprise demand and regional development orientation.