Addressing the issue of how breakthrough innovation alliances in emerging industries dynamically evolve, a system generation theory perspective was adopted to analyze the evolution mechanism of these alliances. A longitudinal single-case study of the biopharmaceutical industry was conducted. Based on the case analysis, utilizing a combined inductive and deductive reasoning approach, a two-stage evolutionary game model was further developed to explore the emergence patterns of breakthrough innovation alliances in emerging industries. The research indicates that leading enterprises, affiliated enterprises, external enterprises and academic research institutions constitute the core layer of these alliances. The evolution of the alliances can be divided into two stages including formation and stabilization. During the formation stage, the distribution of benefits positively influences the willingness to cooperate among alliance members. The cooperation willingness of leading enterprises follows a U-shaped trend with the increasing difficulty of knowledge matching, while tax rate changes have a minimal impact. In the stabilization stage, leading enterprises maintain a stable positive willingness to cooperate, affiliated enterprises are prone to “free-riding” behavior, and academic research institutions shift from an initial brief U-shaped fluctuation to a positive willingness to cooperate. Theoretical support and practical insights are provided for fostering breakthrough innovation alliances in emerging industries from an evolutionary perspective.

Based on the panel data of 11 provinces in the western region from 2012—2021, the concept of high-quality development was added on the basis of the existing research, and the index system was constructed in combination with the connotation of agricultural and rural modernization, and the entropy method, Dagum Gini coefficient, kernel density estimation and grey correlation analysis were used to empirically analyze them. The results show that the overall high-quality development level of agricultural and rural modernization in western China shows a positive trend, and there are significant regional differences. The level of economic development, the level of financial support for agriculture and the level of science and technology are the main factors driving the high-quality development of agricultural and rural modernization in the western region. Based on this, feasible recommendations are proposed.

To study the impact of digital inclusive finance on the upgrading of marine industry structure, panel data from 11 coastal provinces and cities from 2011 to 2020 were selected. The fixed effects model and mediation effect test model were used to empirically analyze the impact and mechanism of digital inclusive finance on the upgrading of marine industry structure. It is found that digital inclusive finance and its three sub dimensions can promote the upgrading of the marine industry structure. The positive promotion effect of digital inclusive finance on the northern and southern marine economic circles is more significant than that on the eastern marine economic circle. Marine technology innovation and human capital play an intermediary role in this transmission process.

To ensure the flight safety of the airport, on the basis of the Technical Standards for Civil Airport Flight Areas, considering the relevant definition of the obstacle and the requirements for the size and slope of the obstacle limit surface where the flight zone grade index I is 4, Auto CAD was used to draw out the airport clearance plane graphics. The files were imported into the GIS system, the allowable height of each obstacle limit surface was calculated, different obstacle restriction surfaces was constructed, the 3 D clearance model of the civil airport was established. The obstacle layer with the restricted surface layer is superimposed to make information query on the obstacles, and get which limit surface the obstacle is located and whether the limit surface is exceeded.

Taking into account the fairness concerns of influencers, the decision-making in a livestreaming e-commerce supply chain was investigated. Three decision-making models were established under different power structures to explore how influencers’ fairness concerns and variations in power structures affect the decisions and profits of supply chain members. The findings reveal that when influencers lead or both parties have equal power, the livestream price and profit of both the brand and influencer decrease as the fairness concern coefficient increases. Under equal power, as the influencer’s market expansion coefficient increases, the prices and profits of both the influencer and the brand increase. When the commission rate is high, the profits of both the brand and the influencer increase with the growth of the redirection rate. When the influencer leads, both parties achieve the highest profits.

ESG is highly compatible with the concept of sustainability in China, and there is no clear conclusion on the impact of ESG performance on the dual innovation of enterprises. Taking Shanghai-Shenzhen A-share listed companies from 2012 to 2022 as the research sample, the impact of ESG performance on enterprise exploratory innovation and utilization innovation was deeply studied, how ESG performance promotes the improvement of enterprise dual innovation ability was analyzed, and the impact effect of enterprise ESG performance on enterprise dual innovation was empirically examined. The research finds that ESG performance has a significant promotion effect on the promotion of the enterprise dual innovation ability, and the better the ESG performance, the stronger the promotion effect on the enterprise innovation of utilization. The mechanism analysis shows that the good ESG performance improves the dual innovation ability by alleviating financing constraints, and the risk taking level has a significant positive impact on the improvement of the utilization innovation ability. The heterogeneous analysis shows that the promotion effect of ESG performance on the dual innovation is more significant in non-state-owned enterprises and listed companies located in central China. Digital transformation plays a positive regulatory role in the influence of ESG performance on the dual innovation.

With the drastic increase of urban population, urbanization rate continues to rise, coupled with the river valley terrain on the urban development of the limitations, Lanzhou City urban traffic congestion situation is intensified. In order to alleviate the pressure of urban traffic, efficient and low-consumption rail transit has been on the stage of Lanzhou city construction. Under the influence of rail transit construction, urban commercial space is bound to change. Combed through the problems of Lanzhou city business and the construction history of rail transit, the construction history of Line 1 and Line 2 was taken as the time line, the law of the impact of rail transit construction on Lanzhou city business space was summarized, and the changes of Lanzhou city business space in the future under the continued improvement of rail transit were predicted.

To address the challenge of quantitatively assessing the effectiveness of online training for insurance professionals, a multidimensional scoring method based on natural language processing and machine learning technology is proposed. Initially, a multidimensional scoring framework is devised to precisely capture and quantify pivotal metrics throughout the training process. Subsequently, a two-tiered dynamic weight allocation strategy is introduced, facilitating a comprehensive evaluation of trainees’ effectiveness through the intelligent integration of these multifaceted indicators. The experimental results show that this method closely emulates expert evaluation, guaranteeing the objectivity and precision of assessment outcomes, ultimately enhancing the effectiveness of online training for insurance practitioners.

In order to provide references and suggestions for the future development and improvement of public health emergency management policies, the existing public health emergency management related policy texts in a multi-dimensional way was analyzed, and text mining was conducted on the policy texts related to public health emergency management issued at the national level in China from 2003 to 2023, and typical policy samples were selected to construct a PMC index evaluation model for public health emergency management policies. The evaluation system of PMC index model consists of 10 first-level variables and 38 second-level variables, and there exist 3 grades of policies as a whole, 1 qualified policy, 10 good policies, and 4 excellent policies. At this stage, the emergency management policy system for public health emergencies is basically perfect, but it still needs to be continuously optimized and improved in the future. It is recommended to reasonably divide the policy time limit, build a multifaceted and coordinated emergency management mechanism, and accurately implement policies in order to realize the all-round and precise management of public health emergency management.

Utilizing data from Fuzhou and Xiamen in Fujian Province from 2013 to 2022, extreme heat waves were employed as the focal point to conduct a comprehensive statistical assessment of vulnerability across three dimensions such as risk exposure, sensitivity and adaptability. Furthermore, the influencing factors of extreme heat waves were examined using geographically weighted regression and geographic detector models. The findings reveal that disparities in geographical environmental conditions and socio-economic development levels between Fuzhou and Xiamen have resulted in varying degrees of extreme heat waves in both cities, with Xiamen demonstrating heightened vulnerability across multiple indicators. The resident population size, level of economic development and green space coverage within urban areas exert significant influence on extreme heat waves. Specifically, GDP and green space coverage yield negative impacts while the resident population yields positive effects. Additionally, financial resources and technological infrastructure also moderately impact the occurrence of extreme heat waves in both cities. Therefore, amidst global climate change and frequent meteorological disasters, optimizing population distribution alongside waterways is imperative along with augmenting urban greening initiatives to enhance vegetation coverage rates while concurrently improving infrastructure construction to ensure economic development aligns harmoniously with ecological benefits.