Based on the incoPat patent index database, a study was conducted on the global competition landscape of AI chips and lithography technology, focusing on four key dimensions: year, region, applicant, and patent value. The results indicate that from 1990 to 2023, patent applications for global AI chips and lithography technologies have been rising annually. China plays a significant role in terms of patent applications and the sources of patent inventors for AI chips and lithography technology. However, in terms of applicant distribution and patent value, it has not yet ranked among the leaders. There is a gap between China and the international advanced level in patent concentration and core technological competitiveness. In order to improve its position in global competition, it is suggested to strengthen its patent strategy and technological innovation.

Based on the analysis of the experience of international scientific research funding institutions such as the National Science Foundation of the United States(NSF), Horizon Europe Program of the European Union, German Science Foundation(DFG), Australian Research Council(ARC) and Japan Society for the Promotion of Academia(JSPS), combined with the actual situation of China’s scientific research development, a multi-dimensional evaluation index system for the performance of National Natural Science Foundation of China(NSFC) international cooperation and exchange projects wae constructed, including five aspects: research innovation, depth of international cooperation, talent training, social and economic impact, and data sharing and management. The optimization suggestions are put forward, including establishing feedback mechanism, long-term tracking and evaluation mechanism, and improving the level of cooperation, in order to help enhance China’s competitiveness and influence in global scientific research cooperation.

The increasing number of doctoral graduates year by year has brought new opportunities for the introduction of high-level talents in central provinces of China, and universities are the main units for introducing young PhDs. Taking 23 young PhDs who have joined universities in S province in central China in the past two years as research subjects, data was collected through interviews and the materials were analyzed based on the grounded theory research paradigm. It was found that the influencing factors of young PhDs’ employment choices in universities in central China are mainly divided into four categories: direct attraction factors, professional development factors, individual factors, and organizational factors. The employment choices of young PhDs are influenced by the push and pull effects of individual willingness and university support, as well as the dual effects of maintenance factors and incentive factors, with individual factors having the greatest impact.

With the advancement of the innovation-driven development strategy, alumni resources, as an important form of social capital, have become a hot topic in both academia and practice concerning how to develop and utilize them effectively. Based on the theory of integrated innovation, a theoretical model for the high-quality development and utilization of alumni resources was constructed, incorporating the six elements of “government, industry, academia, research, application, and resources.” The model aims to explore how policy guidance and multi-agent collaboration can enhance the efficiency of alumni resource utilization. Further, an evolutionary game analysis of the academia-research and industry-application entities under policy-driven conditions was conducted. This reveals the strategic choices between the supply chain and demand chain under the influence of the environmental chain, and the theoretical assumptions are verified through numerical simulation. Finally, three driving paths—policy support, alumni connections, and market orientation—are proposed to provide practical guidance for the high-quality utilization of alumni resources. The long-term effects and risks of the model was discussed, contributing to sustainable economic development and overall social progress.

Industrial policy is an important driver of industrial development. Taking the Shuangcheng Economic Circle of Chengdu-Chongqing area as the research area, an in-depth study on the driving effect of industrial policy was conducted based on knowledge graph technology, in order to clarify the important role of industrial policy in promoting industrial structure optimization, regional balanced development and economic transformation and upgrading. The industrial policy knowledge map of the region was constructed based on regional differences, time evolution characteristics, policy orientation and other core factors. Then, combining with the comprehensive industrial development level of the region, the visualization and retrieval functions of the knowledge map were utilized. The PMC I(policy modeling consistency) index was used to evaluate 496 policy samples, and the driving effect and driving mechanism of industrial policies were further analyzed. The results show that the industrial development trend in the study area is stable and good on the whole, and the PMC composite index scores of industrial policy samples in all regions have reached an acceptable level or above. Among them, the essence of policy content, the ability of forward-looking planning and the construction of guarantee and incentive mechanism are the core elements of the driving effect of industrial policy. Accordingly, countermeasures and suggestions are put forward from the perspective of policy optimization and perfection, evaluation and adjustment.

Based on China’s provincial panel data from 2007 to 2020, the entropy method, coupling coordination model and spatial econometric model were used to explore the coupling coordination level and influencing factors of social assistance common prosperity. The research results show that at the overall level, social assistance has promoted the overall development level of common prosperity, and the number students in higher education and the elderly population support ratio have a positive spatial spillover effect on the coupling coordination degree of social assistance and common prosperity. At the level, the coupling coordination of the three regions is specifically manifested as the central region>the eastern region>the western region, with regional differences.

CiteSpace visualization software was used to quantitatively analyze the publication trends, hot topics, and research context evolution of SSCI(Social Sciences Citation Index) papers on energy transition in the WoS(Web of Science) database. The results indicate that from temporal perspective, relevant research has gone through stages of budding exploration, steady growth, and rapid development. Since 2016, there has been an explosive increase in the number of publications, demonstrating the integration of humanities, social sciences, and natural sciences.From spatial distribution perspective, European countries are the main research force, while the academic influence of Asian countries in this field continues to increase. The top five research countries are the United Kingdom, the United States, Germany, China, and the Netherlands.From high impact literature,technological innovation,fairness and justice are topics that have received more attention, while the factors affecting energy transition have been a hot topic in recent years. From the perspective of keywords, research hotspots have changed rapidly, shifting from government functions in energy transition to multi driven research of “technology-policy-public”,from single transition target research to collaborative research on energy transition and multiple objectives such as fairness and justice, economic growth, and social change. Therefore, in the future, attention should be paid to interdisciplinary and comprehensive research on energy transition, multi-objective collaborative research, key technology breakthrough research, and government market combination research, to enrich the grand narrative and theoretical system of energy transition in the Chinese context.

With the booming development of digital economy, as the core force to promote the transformation of the insurance industry, insurance technology has become the focus of attention in academic circles. Based on CiteSpace software,the literature in the field of insurtech on China Knowledge Network was visualised and analyzed to reveal its research evolution, core hotspots and future directions. It is found that the number of publications in this field shows a significant growth from 2019 to 2023 and reaches the annual peak in 2023. Representing research institutions include Liaoning University and Southwestern University of Finance and Economics, and the research hotspots are highly focused on “big data” and “artificial intelligence”, “application of blockchain technology” and “innovation of insurance products”.The current research network has not yet formed a systematic and holistic cooperation pattern. The current research network has not yet formed a systematic and holistic cooperation pattern, and the closeness of cooperation between institutions and scholars still needs to be further improved.

The geo-economic relationship between China and South Asia is of great significance to its trade development. Using the trade gravity model, the trade data between China and five countries from 2000 to 2022 was selected to analyzes the trade effects of their geo-economic ties. The regression results show that the geo-economic ties between China and South Asian countries have a restraining effect on China’s trade with South Asian countries, while the GDP, geographical distance, electric infrastructure, political stability, government efficiency and rule of law environment have a promoting effect on China’s trade with South Asian countries. Therefore, in the future, on the basis of the “Belt and Road” initiative, China should adjust the structure of import and export commodities to South Asian countries, optimize infrastructure construction, promote economic development, improve national income level, provide policy support, strengthen geo-economic cooperation and trade with South Asian countries, and deepen trade cooperation between China and South Asian countries. It is of great significance to promote regional linkages and development.

The green transformation in existing residential areas is an important basis for building an ecological civilized city and an inevitable requirement for energy conservation and emission reduction in the construction industry.The practical characteristics was summarized of the governance of existing building energy-saving renovation projects in foreign countries from four aspects: economic incentives, laws and regulations, energy-saving publicity and education, and contract energy management. The current situation was expounded of governance practice of China’s existing building energy-saving renovation projects from four aspects: laws, regulations and standards, financial incentive incentives, the EPC(energy performance contracting) model, and the use of energy-saving technologies. At last, the practical difficulties and bottlenecks were analyzed of green renovation projects in existing residential areas and puts forward practical countermeasures, so as to promote the long-term development of green renovation projects in existing residential areas.