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.

Agriculture is the cornerstone of building a modern country. As the impact of global climate change on agricultural production intensifies, studying how agricultural enterprises can respond to challenges such as extreme weather and resource scarcity is crucial for improving agricultural adaptability and mitigating the negative effects of climate change. Based on empirical data of A-share agricultural listed companies from 2013 to 2022, fixed effect and mediation effect models were selected to test the impact of climate risk on business performance. The research results indicate that climate risk has a negative impact on the operational performance of agricultural enterprises, and green innovation plays a mediating role in it. Heterogeneity results show that non-state-owned enterprises are more significantly impacted by climate risk than state-owned enterprises. Important theoretical basis and practical guidance are provided for agricultural enterprises in addressing climate risks.

Green development cannot be achieved without innovation in green technology. Only when green technology is innovated can a country achieve high-quality development. Regarding the construction of ecological civilization as a quasi natural experiment, green patent data was used to empirically analyze the impact of ecological civilization construction on green technology innovation through the double difference method. It is found that the construction of ecological civilization significantly promotes green technology innovation in the experimental zone. Ecological civilization construction can attract environmental investment and human capital, and is conducive to infrastructure improvement and industrial structure upgrading, thereby promoting the level of green technology innovation.

Taking 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China as samples, the TOE framework and dynamic QCA method was used to study the synergetic effect of artificial intelligence elements on the improvement of new quality productivity. The results show that all six antecedent conditions are non-essential conditions, and the lack of intelligent organizational capabilities is the core obstacle to high new quality productivity. Five configuration paths are identified including ability-driven-financial synergy type, technology-driven-ability synergy type, ability-driven type, ability-driven-government synergy type and organization-led type. According to the consistency analysis results within and between groups, the consistency in some years fluctuates, and there is no obvious time effect or case effect. The explanatory power of the results is relatively strong. Based on this, it is proposed to adopt multi-dimensional comprehensive measures, customize specific strategies for different configuration types, maintain policy continuity and stability, and focus on the core of organizational capabilities, aiming to enhance the development of new quality productivity in China.

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.

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.

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.

Abnormal events involving potential safety hazards and near misses are used as early warnings and signs for the escalation of minor accidents to major accidents, which can be used to establish accident models to identify source events and correct unsafe factors in the protection system. Tailored to the process characteristics and accident features of liquefied natural gas(LNG) storage areas, the system hazard identification, prediction and prevention(SHIPP) model was improved, and a novel risk assessment modeling method integrating fault trees, Bayesian networks, and the A-star algorithm was proposed. Firstly, based on expert experience and abnormal events in the accident alarm database, a safety barrier model and fault tree were established. Then, following the chain rule, the fault tree was mapped to a Bayesian network. Finally, the improved A-star algorithm was integrated to determine the accident occurrence pathways. Research based on the LNG accident alarm database indicates that this method, compared to the traditional SHIPP model, can achieve dynamic forward risk assessment and quantify the conditional probabilities between accidents, as well as simulate the accident occurrence process when safety barriers fail in reverse. The research results can provide reasonable design and decision-making for the system safety and risk avoidance of LNG storage areas.

The Scientific evaluation of urban emergency response capacity is a critical step in enhancing urban resilience and the ability to response to unexpected events. Using the analytic hierarchy process (AHP) and the life-cycle theory of emergency management, this study constructs an evaluation index system for urban emergency capability, encompassing the four stages of prevention, preparedness, response, and recovery. The weights of 16 secondary indicators are determined, and a systematic analysis and quantitative assessment are conducted for each stage of emergency management and its key indicators. Case studies demonstrate that the constructed evaluation system not only comprehensively reflects the multidimensional characteristics of urban emergency capability but also reveals the strengths and weaknesses across the four stages.