The issue of free-riding often exists in regional air pollution collaborative governance. To effectively address this issue, a quantum game model involving two heterogeneous governments was constructed using quantum game theory. The consideration of entangled states was discussed separately, and the game results were locked into a quantum version of cooperation strategies through strategy expansion. Based on the interpretation of quantum strategies and quantum entanglement, explicit provisions for the "entanglement agreement" in intergovernmental collaboration were made. The results show that entangled states and quantum strategies can effectively address the free-riding issue of governments. Quantum entanglement and quantum strategies, through interest association and index quantification, can avoid the issue of "moral hazard" and strengthen the binding force on both governments to fulfill their responsibilities. Based on the conclusions, three policy implications were proposed: promoting the digital transformation of local governments and establishing an air quality information-sharing platform, improving the performance evaluation and accountability mechanism for collaborative air pollution governance, fostering regional identity and establishing intergovernmental trust. These implications provide decision-making references for advancing regional air pollution collaborative governance in China.

Improving the resilience and security of China's integrated circuit (IC) industry chain is the basis for ensuring China's economic security and national security in the era of digital intelligence. On the basis of summarizing the new development trend of the global IC industry chain, it was found that the United States exercises "long-arm jurisdiction" over the global IC industry and strengthens its own manufacturing capabilities under the name of security, leading the IC industry into an unprecedented period of turmoil. Coupled with the U. S. "decoupling" and isolate China from its allies. China's IC industry faces unprecedented risks, and the new industrial cycle's downturn phase further intensifies the competitive risks. However, China's acceleration in technological and product breakthroughs in the IC industry has effectively mitigated the impact of external forces, and the resilience and security of China's IC industry have been effectively alleviated by enforcing technological independence and breakthroughs in cutting-edge technologies. In the future, enhancing the resilience and security of China's IC industry chain and building a national competitive advantage not only requires the active capability of the nation to strengthen policy supply, but also the advanced chips breakthroughs and mature chips capacity expansion, long-term strategic deployment, cultivation of "epoch-making products" and the construction of industrial ecology, safe operation under extreme conditions, and construction of the industrial ecosystem are necessary to drive the high-level security and high-quality development of the IC industry.

Based on the data of China's Rural Revitalization Survey (CRRS), the influence, mechanism and heterogeneity of agricultural production trusteeship on farmers' common prosperity were analyzed from the perspectives of income and happiness. The results show that the trusteeship of agricultural production has a positive effect on the common prosperity of farmers, and the conclusion is still stable after dealing with the endogenous problem. Heterogeneity analysis shows that agricultural production trusteeship has a significant effect on the common prosperity of different income groups, and there is little difference between the two. The promotion effect of the high human capital group on the common prosperity is more significant. It has a significant positive impact on the common prosperity of small households, but has no significant impact on large-scale households, and plays a distributive effect to promote "sharing". Through the mechanism test, it is found that the income level of farmers is improved by agricultural production trusteeship, which is mainly achieved by increasing crop yield, reducing production cost, expanding operation scale and promoting non-agricultural employment transfer. And by improving farmers' expectations of future income and freedom of choice and action, family happiness can be enhanced. The dual improvement of income and happiness can promote the realization of common prosperity of farmers. These findings have important theoretical and practical significance for the smooth implementation of the trusteeship policy of agricultural production and the continuous improvement of the common prosperity of farmers, also provide new evidence for the research on the relationship between the trusteeship of agricultural production and the common prosperity of farmers.

In the wave of global digital economy, AI, cloud computing, big data and other technologies were revolutionizing the economy and livelihoods, driving agriculture into a data-oriented digital era. Agriculture has experienced manual work, mechanization to initial automation, and is now rapidly stepping into the era of smart agriculture led by the new generation of information technology. The construction of smart agriculture driven by edge computing was focused on, a technological paradigm that is essential to overcome the challenges of agricultural data management and decision making. By virtue of near-source processing of data, edge computing enables real-time analysis and low-latency response of data, demonstrating high adaptability and stability to the limitations of agricultural infrastructure. Empirical research data show that integrated edge intelligence solutions greatly enhance data processing capabilities and reduce costs, validating their potential for significant efficiency gains under synergistic effects. It not only focuses on the improvement of production efficiency, but also deeply analyzes the multiple benefits of edge computing in agricultural data processing and decision making, covering economic benefits, social and ecological dimensions. It not only strengthens the foundation of agricultural market stability and sustainable development, but also provides a solid theoretical framework and strategic guidance for the innovative practice and future development of smart agriculture.

A large number of studies shown that environmental subsidies which is the main incentive policy for promoting green transformation of enterprises did not help to promote green innovation. This might be due to the structural contradiction of "biased environmental performance over innovative performance" in environmental subsidies. To prove the above point, based on the panel data of Chinese listed companies from 2011 to 2019, the environmental subsidies were decomposed into environmental R&D subsidies and environmental non R&D subsidies using text analysis methods. The results show that firstly, non-R&D subsidies with short-term "environmental orientation" characteristics squeeze out R&D investment, while environmental R&D subsidies with both "environmental genes" and "R&D genes" characteristics can improve innovation performance of enterprise by alleviating internal and external financing constraints, thereby promoting green transformation of enterprise. Secondly, the heterogeneity analysis finds that environmental R&D subsidies have the strongest incentive effect in the manufacturing and heavy polluting industries, while the political affiliation and scale of enterprises can also affect the effectiveness of environmental subsidy policies. Thirdly, the design of environmental subsidy policies should balance "environment" and "efficiency", combining short-term environmental protection with the construction of a long-term mechanism for green innovation and transformation of enterprises to achieve long-term environmentally friendly growth.

With the rapid development of digital technology, the combination of technology, finance, and banking has become increasingly prominent. Empirically examining the impact of bank fintech on enterprise technological innovation and its underlying mechanism, based on data from China Bank's fintech patent application and enterprise bank loan records. Empirical analysis reveals that bank fintech has a significant promoting effect on enterprise technological innovation. After a series of endogeneity discussions and robustness tests, the basic research conclusions remain consistent. Mechanism analysis reveals that restructuring the bank credit model, optimizing the customer structure of bank credit, and alleviating the cost of bank credit and improving decision-making mechanism of bank credit are three important mechanisms for bank fintech to play a role in promoting enterprise technological innovation. In addition, bank fintech also have the function of improving the efficiency of credit resource allocation. These conclusions provide theoretical and practical basis as well as policy inspiration for further accelerating enterprise technological innovation and deepening the financial supply side reform of banking industry development.

Currently, the academic research on workplace loneliness mainly focuses on its (potential) negative consequences, while the research on how to correctly treat and deal with workplace loneliness is still insufficient, lacking a comprehensive, in-depth and accurate understanding, especially at the level of its positive consequences. With the resource conservation theory as the foundation, survey data of 374 researchers from universities, research institutes and R&D departments of scientific and technological enterprises was used to explore the impact of workplace loneliness on the craftsmanship of researchers and its mechanism. It reveals that workplace loneliness has an "inverted U" impact on the craftsmanship and career resilience of researchers. Career resilience plays a mediating role in the relationship between workplace loneliness and researcher's craftsmanship. Relational psychological contract does not only positively moderates the relationship between career resilience and craftsmanship, but also positively moderates the mediating role of career resilience in the relationship between workplace loneliness and craftsmanship. The conclusion reveals the mechanism and boundary conditions of the impact of workplace loneliness on the craftsmanship of researchers, and identifies the positive incentive effect of workplace loneliness, which has a high innovative significance, and provides a useful reference for understanding how workplace loneliness positively affects craftsmanship from the perspective of resource conservation theory.

With the improvement of ESG awareness and the increasing importance of sustainable development, ESG rating has become a focal point of discussion in both academic and practical fields. However, at present, the ESG rating standards in China are not unified, and there is significant divergence in the scores given by different rating agencies. Will this have an impact on business risk? Based on this, using Chinese A-share listed companies from 2015 to 2022 as the research sample, the ESG rating divergence index was constructed using the ratings of Huazheng, Wind, FTSE Russell, SynTao Green Finance, SusallWave and Bloomberg, and the impact of ESG rating divergence on business risk was empirically tested. It is found that ESG rating differences significantly increase the business risk of enterprises, and this conclusion is still valid after a series of endogenous robustness tests. The mechanism test finds that ESG rating divergence increases business risks by aggravating information asymmetry and inhibiting investor sentiment. Heterogeneity analysis shows that the impact of ESG rating divergence on business risk is stronger in non-state-owned enterprises, enterprises with poor information quality and highly marketized enterprises. Further research finds that compared with the differences in the analysis of ESG rating agencies, the non-standard disclosure of ESG information by the rated enterprises themselves is the main reason why the ESG rating divergence aggravates the business risk of the enterprises. The research conclusions provide an important reference for regulators to standardize ESG rating standards to guide enterprises in disclosing information properly, which provides an important reference for promoting the construction of China's ESG rating system.

Disruptive technology possesses the potential to revolutionize mainstream technology trajectories, reshape industry market structures, and redefine the rules of international competition. How it evolves from a marginal force into a mainstream power in the future is of practical significance for technological self-reliance and self-improvement. Based on the innovation theory, the technology-application-ecology (TAE) framework was constructed to analyze the evolutionary paths of disruptive technologies and their mechanisms of action. A process of systemic change was observed through research during the transition of disruptive technologies from marginal forces to future mainstream power. This process is characterized by a dynamic technological evolution trajectory of germination-proliferation-recursion, an application leap path progressing from initial, to intermediate and target, and ultimately to future scenarios, as well as a process of innovation ecosystem transformation that evolves through arboreal, circular, and network-like structures. The systemic revolution of disruptive technologies is intricately shaped by a range of factors: the integrative development of converging technologies, the intensive interplay between technology and its applications, and the dynamic transformation of competitive advantages and disadvantages in latecomer scenarios. It encompasses three critical conditions for the conversion of latecomer advantages: technological bifurcation, application leaps, and ecological collaboration. Finally, policy insights are achieved from various aspects, including emphasizing technology science, strengthening demand-side management, optimizing the innovation ecosystem, and seizing policy opportunities.

Intelligent manufacturing driven by the revolution of intelligent technology represents the unequivocal choice for promoting the construction of manufacturing power in the new era. By replacing human labor with industrial intelligent agents and adopting the single-factor virtual-real fusion production mode of "workshop intelligent agent + mirror network", intelligent manufacturing will bring vastly different production characteristics and cost attribute compared to traditional manufacturing, thereby changing the form of the cost function. Comparative research found that intelligent manufacturing exhibits attribute of "high fixed cost and weak variable cost", leading to the derivation of a weak cost function that grows weakly with output, along with the corresponding declining law of marginal cost. The declining law of marginal cost in intelligent manufacturing mainly stems from the diluting and weakening effect of the single-factor virtual-real fusion production mode on variable cost. From the policy perspective, it is recommended to orderly carry out the crowdfunding construction mode of intelligent manufacturing system, actively promote the capacity sharing mode of intelligent manufacturing system, plan a brand-new employment mode for industrial workers in the intelligent era as soon as possible, and vigorously guide consumers to constantly intervene in production activities, so as to realize the identity transformation of consumer into “pro-consumer".