Digital resilience, as the ability of enterprises using digital technology to respond to major shocks, has received extensive attention from society. Through a review of domestic and foreign literature, it is found that the digital resilience of enterprises mainly consists of the ability to absorb shocks, the ability to adapt to shocks, and the ability to recover to a steady state. The multi-case study method was used to identify the typical practices adopted by chemical enterprises in the process of building digital resilience. On this basis, these scattered typical practices were further summarized and integrated to construct a universal model of the digital resilience building path for chemical enterprises. Through dynamic management and control based on digital innovation, organizational collaboration based on digital platforms, resource aggregation based on industrial Internet platforms, and agile response based on business model innovation, it helps enterprises effectively defuse major shocks and promotes their transition to a new steady state.

With the booming development of big data, the demand for data management capabilities has gradually penetrated into various fields. Based on a deep reflection on the practical work of data management in universities, starting from the perspective of comprehensively optimizing university data management, three core issues in university data management were firstly analyzed and confirmed. Then, referring to the maturity evaluation model of data management capabilities, combined with the current situation of university data management capabilities, it focused on selecting three capability domains to solve the core issues one by one. Finally, from the above capability domains, it focused on six capability items and plans the implementation path of university data governance.

Consumption upgrading is an inevitable trend of national development to a certain extent, and the differentiated research of different regions is the inevitable basis for formulating policies. The framework of residents’ consumption upgrading system was constructed from five dimensions: consumption scale and level, consumption structure, consumption capacity, consumption environment and consumption mode. The results show that the consumption upgrading of residents in the whole country and the three major regions shows a relatively flat upward trend, and the eastern region > the whole country> the central region > the western region. The difference in the level of consumption upgrading of Chinese residents mainly comes from the internal differences in the eastern region and the imbalance in the development of the eastern-central and eastern-western regions. There isσdevelopment in the whole country and the three major regions, there isβconvergence between the whole country and the eastern and western regions, and there is noβconvergence in the central region.

Based on theoretical analysis, this paper selects panel data from 31 provinces(due to the lack of data, the statistical data mentioned here do not include the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province)in China to study the impact of population aging on the effectiveness of monetary policy. The results show that the aging of the population significantly weakens the effectiveness of monetary policy. From the perspective of regional heterogeneity, the more severe the population aging, the stronger the inhibitory effect of population aging on monetary policy. Further research finds that population aging affects the effectiveness of monetary policy by weakening the credit channels of monetary policy. Finally, it is proposed that the age factor of the population should be fully considered, and the relevant policy suggestions should be carefully evaluated such as the intermediary target and the prediction effect of monetary policy.

With the development of cross-border e-commerce, enterprises often face institutional pressure from external sources when promoting cross-channel integration. 298 data through Smartpls software was analyzed to explore the mechanism of institutional pressures on cross-channel integration, and verify the moderating role of organizational learning in it. It is found that normative, coercive and imitative pressures all positively affect cross-channel integration in firms. Organizational learning moderates the positive relationship between coercive and imitative pressures and cross-channel integration, while the moderating effect of normative pressure is not significant. The article reveals the complex interaction between institutional pressure and cross-channel integration, emphasizes the key moderating role of organizational learning in this process, and provides a theoretical basis for cross-border e-commerce firms to cope with institutional pressure and optimize cross-channel integration strategies.

Based on panel data from 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2013 to 2022, a new quality productivity system was constructed and a two-way fixed-effects model was used to examine the impact of new quality productivity on regional coordinated development, as well as to test the mediating role of industrial structure upgrading. The results show that new quality productivity significantly promotes regional coordinated development, with noticeable regional heterogeneity. Industrial structure upgrading plays a mediating role in the process of new quality productivity affecting regional coordinated development. Based on this, corresponding policy recommendations are proposed to promote the development of new quality productivity, reduce regional economic disparities, and achieve regional coordinated development.

As the main body of developing new quality productivity, the level of environmental information disclosure of enterprises has a significant impact on the development of new quality productivity. Using data from Chinese A-share listed companies from 2011 to 2023, and calculates the environmental information disclosure index and the new quality productivity index of each listed company were respectively calculated through content analysis and entropy method to study the impact of corporate environmental information disclosure on new quality productivity. It is found that corporate environmental information disclosure can significantly promote the development of new quality productivity. Mechanism analysis shows that environmental information disclosure can promote the development of new quality productivity by alleviating financing constraints and enhancing green innovation capabilities. Heterogeneity analysis shows that state-owned enterprises and large-scale enterprises have a more significant effect on developing new quality productivity. Further discussion reveals that the promotion effect of developing new quality productivity in heavily polluting enterprises and enterprises located in the eastern region is more significant. At the same time, it is found that the level of environmental information disclosure and enterprise performance mutually promote each other, forming a virtuous cycle and providing assistance for the development of new quality productivity in enterprises. The research results have enriched the study of the consequences of environmental information disclosure and provide inspiration for improving new quality productivity in practice.

Advanced nuclear energy technology and green computing power technology are both typical representatives of new quality productive forces, and are of great significance for the future development of artificial intelligence and the transformation of green energy. In recent years, the collaborative development model between nuclear energy and computing power centers has been burgeoning. The formation basis of this collaborative development model, as well as the advantages of the business model in the fields of energy conservation and carbon emission reduction, economic profitability, safety and stability, resource saving and market absorption were introduced. The two potential coupling models of electricity purchase-sale model and off-grid direct supply model were also discussed. At the same time, the article also focused on the challenges from the fields of policy, regulations, technology, cost and market, and outlined the typical business experiments abroad. Finally, recommendations are elaborated on in three aspects including technological advancement, commercial innovation and policy support.

As the difficulty of financing for manufacturing enterprises in the capital market becomes increasingly prominent, improving the quality of information disclosure and enhancing institutional investors’ confidence have become crucial issues in corporate financing strategies. Based on data from Chinese manufacturing listed companies from 2013 to 2022, the impact of the quality of Management Discussion and Analysis(MD&A) on institutional investment intentions and the mediating role of internal control in this relationship were examined. The results indicate that there is a significant positive correlation between the quality of MD&A and institutional investment intentions, with internal control quality playing a partial mediating role. High-quality MD&A improves the transparency and credibility of a company’s information disclosure, thereby enhancing institutional investors’ confidence. Effective internal control further ensures the accuracy and completeness of the information disclosed, boosting institutional investors’ confidence and willingness to invest. Additionally, non-state-owned enterprises disclose higher-quality MD&A than state-owned enterprises, with institutional investors particularly focusing on transparency and information quality. This research provides important theoretical foundations and practical guidance for manufacturing enterprises to improve financing efficiency and strengthen the management of non-financial information disclosure.

Innovation-driven development provides new impetus for economic and social development and is the core approach to leading future economic transformation. Government R&D investment reflects the national will, and it is necessary to evaluate its output efficiency. Using panel data from 31 provinces(due to the lack of data, the statistical data mentioned here do not include the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2018 to 2022, 13 specific indicators from the input and output sides were selected to build a performance evaluation system for government R&D investment. Factor analysis was used to study the government R&D investment performance. Combining the model construction and the results analysis, improving government R&D investment performance is proposed by promoting diversification of R&D funding sources, optimizing the execution structure of government R&D funding, and increasing R&D personnel input.