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.

New-generation information technologies, such as big data and cloud computing, are leading industrial transformation and propelling the global shift towards the digital economy era. Digital transformation has emerged as a new competitive frontier in the global arena and a new engine for China’s economic development. By integrating traditional production factors, optimizing resource allocation, enhancing automation and intelligence, and reducing production costs, digital transformation is fostering efficiency gains. The real estate industry faces complex challenges, prompting real estate enterprises(REEs) to compete in leveraging new technologies for digital transformation to cut costs, enhance efficiency, and facilitate diverse industrial layouts. A shared service system based on a digital middle platform architecture was widely applied in diversified businesses, aiding REEs in nurturing data assets, achieving full-link system integration, and responding to business innovation needs, thereby reshaping their core competitiveness. By systematically reviewing theories on digital transformation and digital middle platform architectures, and conducting in-depth research on REEs to analyze the process and application logic of digital transformation based on a middle platform architecture, business scenarios before and after transformation were compared to reveal the challenges and value creation in the digital transformation of REEs, providing recommendations for their digital transformation journey. The research indicates that the digital transformation of REEs involves establishing a digital foundation through three stages of informatization, online enablement and intelligence, gradually building a digital middle platform, adjusting organizational structures, integrating ecological resources and enabling intelligent decision-making. This transformation holds profound significance for enhancing their digital leadership, business innovation capabilities, and promoting high-quality and sustainable enterprise development.

In the context of rising trade protectionism and intensifying geopolitical competition, both endogenous drivers and exogenous pressures for the outward transfer of China’s manufacturing sector have increased. Based on the estimation of the scale of China’s manufacturing outward transfer using the ADB input-output table, text analysis and empirical analysis methods were employed to examine the “endogenous drivers” and “exogenous pressures” of China’s manufacturing outward transfer. The results indicate that both endogenous drivers and exogenous pressures coexist in the outward transfer of China’s manufacturing sector, with endogenous drivers being the primary force, but exogenous pressures are gradually becoming an important driving factor. The overall endogenous drivers for the outward transfer of China’s manufacturing include market seeking, technology acquisition, resource acquisition, utilizing cheap labor costs and host country institutional environments. Meanwhile, the exogenous pressures include manufacturing reshoring and trade frictions. However, when considering the motivations of utilizing cheap labor costs and resource acquisition, China also takes into account labor quality and the host country’s infrastructure conditions. Heterogeneity analysis reveals that the transfer to developing countries is mainly driven by endogenous factors, while the transfer to developed countries, as well as the outward transfer of low-tech and medium-high-tech manufacturing, is influenced by both endogenous drivers and exogenous pressures. Additionally, manufacturing reshoring has a greater driving effect on the outward transfer of China’s medium-high-tech manufacturing.

With the rapid development of digital technology, short video platform is playing an important role in empowering rural new quality productivity. By optimizing and improving rural workers, labor tools, labor materials and the combination of this three elements, short video platform enables rural new quality productivity. However, practical problems such as the counterfeiting of agriculture-related short video, lack of industrial integration in some regions, and lack of talents in agriculture-related short video operations, restrict the sustainable development of rural new quality productivity. In this regard, a breakthrough path was given for short video platform to enable rural new quality productivity from four aspects, such as innovation and development, industrial layout, policy environment and talent support. Suggestions on promoting innovation at all levels are put forward for promoting deep industrial integration, doing a good job in system innovation, and cultivating and introducing talents.

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.

As one of the core policy tools for achieving the “dual-carbon” goals, the carbon market possesses financial, environmental and policy attributes. These characteristic attributes prompt the establishment of an effective regulatory system for carbon emission rights trading. Currently, in China’s carbon emission rights trading and its subsequent supervision, there are problems such as inefficient supervision and opaque trading information. Based on the application requirements of modern environmental governance for new digital technologies, applying technologies such as blockchain’s distributed storage, consensus mechanism, and smart contract encryption to the supervision of carbon emission rights trading will help improve the supervision efficiency and the security of the circulation of carbon trading information, and also alleviate the problems existing in the process of carbon emission monitoring and verification. However, due to the dual nature of technology, while blockchain empowers the supervision of carbon emission rights trading with its technology, there are also certain hidden concerns in aspects such as data security and the protection of the rights and interests of trading entities. In this regard, it is necessary to further improve the smart contract review mechanism and perfect the relief rules, construct a risk prevention and evaluation system, and clarify the main responsibilities of blockchain system development and maintenance to ensure the effective supervision of carbon emission rights trading.

Accounting to the goal of achieving the carbon peak by 2030, based on the existing relevant policies, the kaya carbon emission identity, combined with China’s “14th Five-Year Plan” and long-term planning and other relevant policies, the scenario analysis method was used to estimate China’s total carbon emissions in 2030. On the basis of the total amount, taking into account the two principles of fairness and efficiency, entropy method and zero-sum income data Envelopment (ZSG-DEA) were used for empirical testing, and a provincial carbon emission quota allocation scheme under the multi-index system was constructed. The allocation plan that takes into account the two principles of fairness and efficiency is conducive to the establishment of a reasonable cross-regional carbon emission quota allocation mechanism, and has important reference value for promoting China’s cross-provincial collaborative emission reduction strategy, establishing and improving the national carbon trading market, and achieving the goal of carbon peak in 2030.

From “decoupling” to “de-risking”, the US policy towards China has not fundamentally reversed, and its essence is still to curb China’s economic development and maintain its own global hegemony. By combing the United States’ measures towards China, it is found that the United States focuses on the containment and suppression of China in the economic, technological and financial fields, which leads to the weakening of Sino-US import and export trade links and the acceleration of market diversification. At the industrial chain level, China and the United States face the risk of “chain breaking”, which is manifested in the decline of trade dependence on intermediate goods, the intensification of supply chain relocation, the weakening of manufacturing complementarity, and the acceleration of supply chain restructuring, especially in high-tech industries. At the same time, the cultural exchanges between the two countries are limited, and the two-way investment is also declining. To this end, China needs to manage differences through negotiation and expand the space for Sino-US cooperation. At the same time, China should further deepen its opening to the outside world, improve the multilateral trading system, promote the construction of the domestic market, and improve its ability to resist risks. On this basis, China should gradually improve the scientific and technological innovation system, accelerate the cultivation of new productivity, and continuously improve the level of investment at home and abroad.

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.

Withthe rise of knowledge economy, “knowledge” has replaced the traditional production factors such as machinery, equipment, labor, capital and raw materials, bringing about changes in knowledge organization and management. In order to ensure the safety of intellectual achievements and meet the individual needs of all stages, it is necessary to improve the intellectual property information service mode under the guidance of the innovation and development of knowledge management. The characteristics of the era of knowledge economy, the expression form of knowledge management innovation and intellectual property service were analyzed, selecting Shanghai Jiao Tong University as the advanced case, and the practical effect of its library intellectual property information service innovation was analyzed. The beneficial experience covering the life cycle of knowledge management and meeting the needs of scientific research, management and teaching is organized out, in order to promote the integration of knowledge management innovation into the intellectual property information service of universities.