In recent years, natural disasters, extreme weather, plague and other emergencies continue to erode the sustainable development of cities. In order to effectively respond to the crisis and quickly recover, it has become increasingly urgent for cities to strengthen their resilience and achieve sustainable development. Based on the institutional logic theory, the NCA and QCA methods were used to conduct qualitative comparative analysis of 170 cities above prefectural level, and the complex impact mechanism of technological, organizational and environmental antecedents on urban resilience from a holistic perspective was explored. The results show that a single antecedent does not constitute a necessary condition for the generation of high urban toughness, nor does it constitute a sufficient condition for the generation of high urban toughness. The linkage and matching of technology, organization and environment has formed a diversified configuration form of urban resilience, which has the obvious characteristics of "different paths and the same destination". It is embodied in the market leading mode, community and market dual-wheel drive mode, policy and market dual-wheel drive mode, government and market dual-wheel drive mode. The resilience configuration of high cities in different periods of time is not completely the same, and will change with the passage of time and technological progress. However, the mode with high-level digital infrastructure and high industrial convergence as the core conditions has high stability. The research conclusion provides a decision-making basis for the city to improve its resilience from the perspective of configuration, makes up for the limitations of the traditional quantitative analysis on this issue, and to a certain extent enriches the theory of urban resilience and institutional logic.

The impact of artificial intelligence (AI) on the labor market, based on the Routine-Biased Technological Change paradigm, is widely acknowledged. However, existing job classification methods lack detail and accuracy. To address this limitation, the Chinese-BERT-wwm model was optimized to classify recruitment data from listed companies between 2013 and 2019 into routine and non-routine jobs, achieving a test set accuracy of accuracy of nearly 93%. Additionally, the GLM4 model was used to match job titles and descriptions to the "Chinese Occupational Classification (2022 Edition)" to identify digital occupations and analyze the impact of AI technology on labor demand structure. Empirical results show that higher AI technology levels significantly increase demand for non-routine jobs and reduce demand for routine jobs, with pronounced effects in non-state-owned enterprises, high-tech industries, and manufacturing. Further analysis reveals that the increased demand for non-routine jobs is primarily driven by growth in non-routine cognitive positions. Mechanism analysis shows that AI adoption increases non-routine job demand through productivity effects and the creation of new digital occupations, while reducing routine job demand through substitution effects. It expands the application of large language models in economic text analysis.

The popularity of AI big models has set off a wave of AI investment, innovation, and application worldwide. From the perspective of industrial policy system, industrial talent cultivation, industrial technology research and development, industrial security creation, and industrial ecological construction are included in the analysis framework, and the industrial policy analysis framework to promote the development of AI grand model in the United States was constructed. At present, the development of China's AI big model industry has made a series of achievements, including the increasing improvement of the policy design to promote the development of AI big models, the increasing enrichment of the number and type of domestic AI big models, and the increasing number of users and applicable scenarios of AI big models. However, there are a series of shortcomings and shortcomings in terms of lack of technology, lack of human resources, ecological construction, international cooperation, etc., thus resulting in the slow development of related industries. So, it is necessary to systematically increase R&D investment in AI, actively cultivate and introduce AI talents, make efforts to build an AI ecosystem, and comprehensively promote international cooperation in the field of AI, in order to promote the construction of China's AI big model industrial policy system and further realize the rapid development of the industry.

The value alignment of large language models is a global issue related to ensuring safe collaboration when enterprises and societies adopt these technologies. Achieving alignment between the behavior of large language models and the value intentions of decision-makers as well as societal norms is identified as the core challenge for ensuring safety and trust. Formal rationality and substantive rationality, two philosophical concepts proposed by Max Weber, were introduced to explore value alignment mechanisms. Four value alignment states in enterprise management were categorized including "high formal rationality-low substantive rationality" as technical drift, "high substantive rationality-low formal rationality" as value prioritization, "low formal rationality-low substantive rationality" as alignment failure, and "high formal rationality-high substantive rationality" as dynamic alignment. Transparency, clarity, and sociality were identified as analytical standards for value alignment. Pathways to achieve value alignment in enterprise management were proposed, including the embodiment of cognitive capability in the "technical drift→dynamic alignment" pathway, the clarification of technical intentionality in the "value prioritization→dynamic alignment" pathway, and the construction of meaning in the "alignment failure→dynamic alignment" pathway. The findings provide theoretical support and practical insights into the value alignment mechanisms of large language models in enterprise management.

In order to continuously do a good job in talent work,and further build a talent strong country with high quality, and achieve high-level technological self-reliance and self-improvement, in recent years, especially since the 18th National Congress of the Communist Party of China, the relevant functional departments of the country have successively issued many talent policy documents to promote the gradual optimization and improvement of the talent policy system in China. Based on the systematic review of 808 talent policy texts released at the national level since the 18th National Congress of the Communist Party of China, a three-dimensional analysis framework of "ideas-goals-tools" talent policy was construsted. Then, based on the LDA topic generation model, methods such as word frequency analysis and topic analysis for in-depth investigation were comprehensively used. It can be discovered that China's talent policy embodies the unity of principle, planning, and operability in the conceptual dimension, emphasizes systems and institutional mechanisms reform and clear feasibility in the goal dimension, and highlights flexibility, practicality, and collaborative innovation in the tool dimension. Overall, the systematic features of talent policy are quite obvious.Based on these results, it is suggested that the core concept of“talent is the first resource”should be adhered,efficient and clear policy objectives should be set, a balanced combination of policy tools should be constructed,promoting the linkage and cooperation between policy concepts, policy objectives, and policy tools should be accentuated at the same time.

Talent governance is the cornerstone of local governance modernization. However, some regions excessively prioritize talent competition in reality, exacerbating the issue of governance fragmentation. A single-case study of talent governance practices in S Province was conducted from the theoretical perspectives of holistic governance and performance management to explore how local governments address governance fragmentation through the integration of policy tools and governance mechanisms, thereby responding effectively to the dual logic of talent governance: enhancing external competitiveness and optimizing internal resource allocation. The findings indicate that the talent governance system in S Province achieves structural coordination, functional integration and external collaboration through top-level design, while its implementation is energized by a performance evaluation mechanism centered on goal accountability. Grounded in the case analysis, the practical pathways and intrinsic mechanisms of the talent governance system in S Province are deeply analyzed, and a practical framework for local talent governance under the dual-logic perspective is developed, which provide some reference for advancing the modernization of local talent governance.

As a long-term state policy, talent strategy is of great significance to national development and regional construction. The key to the construction of a high-quality talent system is to optimize the development environment for scientific and technological innovation, so as to achieve an increase in the sustainable efficiency of talent introduction. Based on this, the DPSIR-DEA-Malmquist index model was built. The 31 Chinese provincial (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.) talent introduction activities from 2014 to 2020 were taken as the research object, and the sustainable efficiency of talent introduction was analyzed. Further, considering the practical significance of the technological innovation climate for talent introduction activities, the threshold regression was then used to analyze its impact mechanism. The results show that the sustainable efficiency of provincial talent introduction in China has been steadily demonstrated and continuously enhanced, and the regional differences have been significantly narrowed in both the geographical and spatial and temporal levels. The decomposition of Malmquist index in the level of technical efficiency shows an "N-shaped" trend, which is basically relatively consistent with the trend of Malmquist index. However, the index of technological progress shows a trend of "M-shaped", indicating that it is not the upward driving force for the improvement of the sustainable efficiency of talent introduction. The role of technological innovation climate in talent introduction of all stages has been tested by the threshold effect of technical efficiency. When the technical efficiency crosses the threshold of 1.775, scientific research service personnel, national policy-based education funds and continuous funds all have a significant and positive impact on the sustainable efficiency of talent introduction. Therefore, the current situation of emphasizing talent recruitment over utilization should be changed. The construction of the scientific-tech innovation atmosphere should be intensified. The sustainable efficiency of talent introduction should be given full play. These are regarded as the keys to reversing the Matthew effect of the talent strategy and promoting the regional scientific development.

In recent years, the problem of equalization supply of local public services has been increasingly concerned by all sectors of society. The report of the Party's 20th National Congress and the decision of the Third Plenary Session of the 20th Central Committee also stressed the need to "enhance the equalization and accessibility of basic public services". How to better straighten out the fiscal management system among multi-level governments, and give full play to the two positivity of "superior government" and "local government" in the supply of public services is particularly important for ensuring the equalization and accessibility of public services. From the perspective of the fiscal management system, the relevant theoretical literature on the equalization supply of local public services in China was sorted out. It find that, firstly, significant regional and urban-rural differences exist in the supply of local public services in China, with the imbalance in the supply of education and healthcare being particularly prominent. Secondly, factors including the fiscal decentralization system, local governments' promotion incentives and the fiscal expenditure structure are major causes for the imbalance in local public service supply. Thirdly, public policies like increasing public expenditures, enhancing transfer payments, promoting household registration reform and encouraging government service procurement are conducive to improving the supply of local public services. Finally, reform measures of the fiscal management system, such as the division of affairs rights and expenditure responsibilities and the optimized design of inter-governmental fiscal relations, have a remarkable impact on the balance and accessibility of local public service supply.

As the most dynamic market entities, small and micro enterprises (SMEs) play a significant role in promoting China's economic development. Therefore, SMEs have always been the key support target of China's tax reduction policies and the focus of scholars' attention. The literature collection process was first introduced, with an analysis of literature characteristics and an exploration of the basic connotation of “SMEs” from multiple perspectives. Secondly, based on the dual perspectives of micro-enterprise operations and macroeconomic impacts, the research findings on the effectiveness of tax reduction policies for SMEs were comprehensively reviewed. After that, the main factors influencing the tax reduction effects for SMEs were analyzed from three aspects: the tax system, micro-enterprises and macroeconomic environment. Furthermore, the optimization path for tax reduction policies for SMEs was discussed. Finally, the current research deficiencies related to SMEs were analyzed, and four directions that future research in this field should focus on were pointed out. These include conducting in-depth research on the implementation effects and impact mechanisms of tax reduction policies for SMEs, thoroughly examining the linkage effects among tax reduction policies and between tax reduction policies and other macroeconomic policies, introducing more precise analytical tools to enhance the accuracy and effectiveness of tax reduction policy design, and conducting international comparative studies to provide references for the improvement of tax reduction policies in China.

New quality productive forces, spurred by scientific and technological innovation, are the key driving factors leading global innovative and sustainable development. Science and technology innovation enterprises, as the core force driving technological breakthroughs, play a crucial role in promoting the development of new quality productive forces in China. Therefore, exploring how these enterprises leverage technological breakthroughs to achieve the formation of new quality productive forces is of paramount importance. Based on resource orchestration theory, Chengzhi Yonghua was taken as a case study and employs an exploratory case analysis method to deeply analyze the process of how science and technology innovation enterprises utilize breakthroughs in key core technologies to promote the formation of new quality productive forces. It finds that in the three stages of material technology breakthrough, full-chain technology upgrading, and multi-dimensional industrial layout, core technologies have advanced from autonomy to diversification and then to high-end development. Driven by resource orchestration strategies, the strategic positioning has shifted from domestic technology breakthrough to market expansion leadership and finally to technology innovation leadership, while the productive forces have evolved from a substitutive form to an innovative form and ultimately to new quality productive forces. It opens the "black box" of the process by which breakthroughs in key core technologies by science and technology innovation enterprises drive the formation of new quality productive forces, providing practical guidance for the development of new quality productive forces within these enterprises under the context of technological innovation.