In order to explore the influence mechanism of digital trust on residents’ participation in community environmental governance behavior, and the mediating role of perceived value between the two, community residents in Fuzhou City were taken as the research object to conduct a field survey, and 616 sample data was analyzed by using STATA. The results of the study show that, first, the enhancement of digital trust helps to increase the enthusiasm of residents to participate in community environmental governance. Second, residents’ perceived value plays a mediating role between the two. Based on these conclusions, countermeasure suggestions are proposed, such as bridging the digital divide in old age, cultivating residents’ awareness and literacy in community environmental participation, and enhancing the transparency and responsiveness of digital government.

Policy oriented agricultural insurance is an important tool to reduce agricultural risks and protect farmers’ income. Since the establishment of the policy oriented agricultural insurance system in Beijing in 2007, through the policy of “raising the standard and expanding the coverage of additional products”, the full cost insurance of wheat and corn has been included in the uniform provisions, and premium subsidies have been implemented to effectively enhance the enthusiasm of farmers to participate in the insurance. At the same time, relying on satellite remote sensing, big data and other technologies, it has realized the informatization of the whole process of underwriting and claims settlement, and significantly improved the service efficiency. At present, Beijing’s policy oriented agricultural insurance has covered all agricultural administrative regions, forming a diversified risk protection system covering planting, forestry, animal husbandry and fishery, which provide strong support for agricultural modernization and Rural Revitalization.

To explore the spatial-temporal coupling coordination relationship between land intensive use and regional high-quality development in Yijingjing metropolitan area, AHP(analytic hierarchy process) and entropy method were used to evaluate and measure the land intensive use and regional high-quality development from 2010 to 2022, and then the coupling coordination between the two was analyzed based on the coupling coordination degree model and the improved Tapio coupling index. The results show that the comprehensive index of land intensive use and regional high-quality development maintained positive growth, and the development trend of the latter was more stable and rapid than that of the former, showing a distribution pattern of “high in the central and eastern regions and low in the western regions”. The comprehensive index of land intensive use and regional high-quality development shows the status quo of coordination and discoordination, and the coordination degree is more and more dominant, especially in Jingzhou City, which has mainly shown the land-leading coupling and growth coupling since the “14th Five-Year Plan”. With the promotion of policies and the implementation of measures, the land economic system of Yijingjing metropolitan area is increasingly coordinated and reasonable, and the intensive use of land still needs to be promoted efficiently.

In order to further explore the main research forces, knowledge base, evolution of knowledge structure and research front in the field of technology innovation management, the CiteSpace visual analysis software was used to analyze the paper data of the top 10 technology innovation management specialty journals in the Web of Science database during the year of 2000 and 2024. The results show that the main research force is concentrated in Europe, but are transferring to Asia.The knowledge base of this field includes two aspects, including theoretical perspective and research method. The evolution of knowledge structure in the field of technology innovation management is divided into four stages.The current research front in the field of technology innovation management include digital-intelligence technology innovation management and green technology innovation management.

Scientifically estimating and analyzing the spatiotemporal pattern, influencing factors, and scenario predictions of carbon emissions in Yellow River Basin is of great significance for its high-quality development. Firstly, DMSP/OLS and NPP/VIIRS nighttime light data was used to simulate regional carbon emissions from 2000 to 2022 and their spatiotemporal patterns and agglomeration characteristics were analyzed. Secondly, the influencing factors of carbon emissions were analyzed through an extended STIRPAT(stochastic impacts by regression on population, affluence, and technology) model and ridge regression method. Finally, based on the extended STIRPAT model, the development trend of carbon emissions in this region under different scenarios is predicted. The results show that from 2000 to 2022, total carbon emissions in the Yellow River Basin showed an upward trend, with a significant positive global spatial autocorrelation at the prefecture-level city level. Among them, Shanxi, Shaanxi, Ningxia, and Inner Mongolia provinces exhibited “high-high” agglomeration of carbon emissions, while Qinghai, Sichuan, and Gansu provinces exhibited “low-low” agglomeration. Total population, per capita GDP, the proportion of secondary industry output value to GDP, urbanization level, energy structure, and energy intensity all contribute to increased carbon emissions in the Yellow River Basin, while government intervention has an inhibitory effect.Under different scenario predictions, the green development scenario predicts that carbon emissions will peak in 2035, while under the extensive scenario, the peaking time is delayed until 2045.

With the intensification of global climate change, low-carbon economy has become a key goal for economic transformation in various countries. Financial support is crucial for promoting low-carbon economic development. Based on provincial data of China from 2012 to 2021, a spatial Durbin model(SDM) was constructed to analyze the impact of financial structure, vitality, efficiency, and density on low-carbon economy. The results indicate that financial structure and density have a negative impact on the development of low-carbon economy, while financial vitality plays a positive role. In addition, the development level of low-carbon economy in various provinces shows spatial correlation. Based on this, it is proposed to strengthen regional policy coordination, enhance the vitality of financial markets, and promote coordinated development of low-carbon economy regions.

Personal data is one of the most valuable segments of data and is also the most crucial resource for enterprises to create economic value. The circulation of personal data can unleash its immense potential. However, internet companies are prone to improper trading behaviors in personal data transactions, such as over-collecting personal data,inadequate data desensitization, deviation from the principles of fairness and integrity in contracts, and formalistic informed consent rules. To address these issues, regulatory measures should be implemented through the formulation of model user license agreements, the improvement of data desensitization rules, the clarification of protection obligations for internet companies, the establishment of industry self-regulatory mechanisms, and the enhancement of compliance with informed consent rules.

A layout optimization model was constructed to address the issues of multiple material handling intersections, high handling costs, and low area utilization caused by the unreasonable layout of KF Company’s general valve workshop. The model considers the direction of material flow in both directions and aims to minimize material handling costs, maximize non logistics relationships, and workshop area utilization. The system layout planning (SLP) method was used to optimize the workshop layout and obtain a preliminary layout plan. Based on the traditional nondominated sorting genetic algorithm II(NSGA-II), the initial layout plan obtained by the SLP method was encoded as part of the initial population to improve the diversity of the algorithm. The adaptive control strategy was introduced into the crossover and mutation operations, and the simulated annealing algorithm was added. Finally, the analytic hierarchy process(AHP) was used to optimize the workshop layout. Process, AHP make optimization decisions on a set of Pareto optimal solutions obtained by the algorithm. The results show that this method can reduce material handling costs by 38.83%, increase non logistics relationships by 44.83%, and optimize workshop area utilization by 19.50%, demonstrating the effectiveness of the model in workshop layout optimization.

With the coordinated development of the Beijing-Tianjin-Hebei Region entering a new phase, the optimization and upgrading of the port logistics system have become critical factors in driving the economic vitality of the hinterland. The entropy weight method and a coupling coordination model were used to quantitatively analyze the interactive relationship between port logistics and hinterland economy in the four major port clusters of the Beijing-Tianjin-Hebei Region from 2017 to 2021. The results indicate that the efficiency and service capabilities of port logistics in the four major port clusters improved during the period from 2017 to 2021, with Tianjin Port showing the most significant performance. However, its direct driving effect on the hinterland economy remains limited. The coupling coordination level between port logistics and the hinterland economy in the Beijing-Tianjin-Hebei Region is still in a stage of mild imbalance, with uneven development within each port cluster, indicating that further potential needs to be unlocked. It is recommended to enhance the coordination between port logistics and the hinterland economy by optimizing port functional layouts, aligning with hinterland industries, deepening port collaboration mechanisms, and improving infrastructure construction, thereby promoting high-quality and sustainable regional economic development.

To promote the digitization of standards in the field of construction engineering in China, the patterns of construction engineering standards and text structures were summarized, the process of knowledge graph construction was elaborated, and both manual and natural language processing techniques were applied to build a knowledge graph in the domain of construction engineering standards. Through practical case applications of the standards, it is verified that the knowledge graph in the field of construction engineering standards exhibits good usability in structured representation, extraction, and retrieval of relevant knowledge. The constructed knowledge graph can effectively structure and represent standard knowledge in the field of construction engineering.