The current situation and challenges faced by local research institutes in the field of technology transfer was studied, and the urgent need for establishing a performance evaluation system was elaborated. The findings revealed prevalent issues such as mismatches between research outcomes and market demands, shortages in talent for commercialization, inaccuracies in technology readiness level assessment, and weaknesses in capital operation mechanisms. In response to these challenges, a evaluation system was developed, encompassing critical dimensions including technology readiness, market adaptability, economic benefits, social impact, and innovation drive. Further validation through case studies demonstrated the system's significant effectiveness in enhancing the efficiency and quality of technology transfer, optimizing resource allocation, motivating researchers to actively engage in commercialization activities, and boosting regional economic development and innovation capabilities.

Based on the complex network method to build the 2001—2021 global copper trade network to describe its evolution characteristics, QAP(quadratic assignment problem) analysis was used to explore the impact of factors.It is found that the global copper trade network has a small-world character, and in part, Germany, China, the United States and Italy are the core nodes, in terms of influencing factors, the proximity of countries and the gap of economic development level will promote the copper trade significantly, and the larger the geographical and institutional distance will restrain the copper trade, the index of economic freedom, population and use of the same language will not have a significant impact. In view of this, it is suggested to strengthen cooperation with neighboring regions, increase R&D investment in technological innovation, and ensure the security and stability of China’s copper supply chain.

The open government movement has promoted the open sharing of government data around the world, and how to make better use of government open data to promote political democracy and social progress has become an urgent issue for discussion.Bibliometric analysis was conducted to explore the research context, cooperation, research hotspots and development trends of domestic and foreign scholars on government data openness since 2000. CiteSpace knowledge graph was used to conduct a comparative study on government data openness at home and abroad. It is found that foreign government data openness has better integration of different disciplines and a higher degree of data utilization, and has begun to try to apply a.jpgicial intelligence to the government data openness platform. Given the domestic and foreign comparison results, the following suggestions are put forward for the opening of domestic government data: strengthen the integration with a.jpgicial intelligence, strengthen the efficiency of data utilization and integration with other discipline systems, and finally sink from the government to the citizen side.

In order to further analyze the current research status of Chinese academic circles on community governance in the new era, CiteSpace software was used to analyze the number of publications, institutional cooperation, scholars, keywords and other aspects of the research literature on “community governance” collected by China National Knowledge Network (CNKI) from 2012 to 2023. It is found that the number of papers published in the field of “community governance” has generally shown an upward trend, but there are deficiencies. For example, the cooperation between research institutions and scholars is not close, showing an isolated state. Therefore, it is suggested to strengthen the research cooperation and exchange between research institutions and scholars, and use knowledge of various disciplines to study problems from different perspectives.

Data trading is an important form of data elements circulation. By constructing an evolutionary game model of “data trading platform - data providers - data demanders,” it is revealed that the data trading market exists in three equilibrium states: non-cooperation, inefficiency, and ideal. A higher initial willingness for technological innovation by the platform, a reasonable profit distribution coefficient, and a lower loss of competitive advantage can promote the system to evolve towards an ideal equilibrium state; whereas high data prices and technological innovation costs can lead the system into a state of non-cooperation or inefficiency. Therefore, the development of the data trading market can be promoted by enhancing the awareness of the subjects, establishing a fair and reasonable profit distribution mechanism and data product pricing, and supporting technological innovation in the platform.

With urban digital transformation accelerating, the role of smart property management in community governance becomes increasingly prominent. As a pioneer in smart property management, Shanghai is enhancing the community health evaluation system through digital means. However, the current system faces challenges in adaptability, accuracy, fairness, and deep analysis, requiring urgent optimization. This study analyzed the issues in the existing evaluation system and proposed optimization strategies. Flexible and personalized evaluation standards should be constructed to suit different community types, ensuring comprehensive and accurate assessments. Targeted evaluation methods should be adopted, focusing on residents’ subjective experiences and satisfaction to align scores with actual perceptions, thus improving fairness and comparability. Data analysis and mining capabilities should be strengthened to inject new impetus into grassroots community governance. By optimizing Shanghai’s evaluation system, other cities are provided with a reference to advance the digitalization of community governance, enhance residents’ quality of life, and achieve sustainable social development.

How leaders reduce employees’ sense of work alienation in uncertain environments is a hot topic of academic concern. Taking 494 employees as a sample and using a two-stage questionnaire, from the perspective of social exchange theory, the effect of leader perfectionism on employees’ work alienation, as well as the intermediary mechanism and boundary conditions between superior-subordinate relationship and emotional exhaustion in the relationship between the two were explored. The results show that leader perfectionism has a significant positive effect on employees’ sense of job detachment. Supervisory and subordinate relationships play a partial mediating role between leader perfectionism and job detachment. Emotional exhaustion positively moderates the effect of leader perfectionism on superior-subordinate relationships.

The deep evolution of the world economy and geopolitics, the complex international situation, and the profound changes in the global energy landscape pose enormous challenges to China’s energy security. The conceptual evolution and evaluation model methods of energy security were outlined. Indicators were selected from the four dimensions of energy availability, accessibility, affordability, and acceptability to construct an energy security evaluation index system. Entropy weight TOPSIS (technique for order preference by similarity to ideal solution) comprehensive evaluation was used to assess china’s energy security situation from 2007 to 2022, and it is found that the overall level of energy security in China is showing a trend of first decreasing and then increasing. In order to improve the level of energy security, countermeasures and suggestions are proposed.

With the slowdown of social and economic development and the solidification of social classes, young people in China are also facing severe multidimensional poverty. Based on the CFPS(China Family Panel Studies)2020 data, the AF(Alkire-Foster) method was used to construct the youth multidimensional poverty index through the dimensions of income status, education access, health level, living conditions, social exclusion and subjective well-being, and the relationship between Internet embeddedness and youth multidimensional poverty was explored. It is found that Internet embedding can significantly improve the multidimensional poverty situation of young people, and can indirectly achieve poverty alleviation by promoting the accumulation of social capital.

Born in the context of digitalization, digital trade is an emerging trade model, which is based on digital technology and transformed through the digitization of trade methods or trade objects.Digital trade in solving the time and space limitations at the same time also led to the emergence of digital trade barriers, which has become a major obstacle in the process of economic globalization. Reducing digital trade barriers and promoting the synergistic development of the global digital economy are of great significance to optimizing the global value chain and enhancing the efficiency of international trade. Focusing on the relationship between digital trade barriers and global value chains, relevant theoretical models were built based on previous research, the development trend of China’s digital trade under the background of “anti-globalization” was discussed, and corresponding countermeasures are put forward to address these issues.