The social network analysis(SNA) method was used to study the stakeholder relationship network in infrastructure investment projects, revealing the key roles and functions of project companies, construction units, supervision units, and survey and design units in the network. Research has found that project companies play a central role in the flow of information and resources, while construction and supervision units play important roles in connecting parties and bridging information. Although the current network density is low, strengthening stakeholder cooperation, optimizing network structure, and enhancing resource sharing can significantly improve project management efficiency and collaboration effectiveness. Specific measures and suggestions are proposed to enhance the overall management level of infrastructure investment projects and the synergistic effects among stakeholders. Future research can expand the scope of stakeholders, conduct dynamic network analysis, and explore the network characteristics of different types of infrastructure projects, provide more refined management strategies.

Under the “dual carbon” strategic goals, green credit has become an important driver for high-quality economic development and the transformation of enterprises. Based on operational data from A-share listed companies in China from 2004 to 2022, the implementation of the 2012 “Green Credit Guidelines” was used as a quasi-natural experiment. Employing double machine learning approach to construct an empirical model, the findings indicate that after the implementation of the Guidelines, the reduction of financing constraints, increased R&D investment, and promotion of joint ownership between banks and enterprises effectively drive continued green innovation in environmental protection enterprises.

The booming live streaming e-commerce has drawn a large number of consumers and businesses to participate. However, research on consumers’ impulse purchase willingness in live streaming is still in its infancy. Based on the SOR theory, from the perspective of consumers’ loss aversion psychology, a structural equation model was developed to analyze and validate the mechanism through which the live e-commerce atmosphere cues affected consumers’ inclination to make impulsive purchases. It is found that the live e-commerce atmosphere cues significantly affect consumers’ perceived risk and anticipated inaction regret. The mediating effect of perceived risk and anticipated regret of inaction is significant when it comes to the influence of live e-commerce atmosphere cues on willingness to make impulse purchases. In the context of live e-commerce, companies can adopt measures such as increasing product discounts, enhancing the visual appeal of the live broadcast room, and activating the atmosphere of the live broadcast room to strengthen the atmosphere cues in the context of live e-commerce, and make full use of consumers’ loss aversion to achieve promotional goals.

Hidden danger investigation is a crucial method for ensuring the safety of air traffic control, and the graded assessment of hidden dangers serves as an important basis for their management. Focusing on the hidden dangers associated with air traffic control, a grading model was established based on cloud theory grounded in expert evaluations. In response to the relatively coarse categorization provided by existing regulations regarding hidden dangers, a more precise evaluation framework was developed to enhance the accuracy of assessments. To improve the reliability of these evaluations, a group decision-making approach involving experts was employed for assessing hidden danger levels. Furthermore, to enhance the objectivity of the evaluation process, a cloud model was introduced for quantitative assessment alongside qualitative analyses. Finally, an illustrative example was presented to demonstrate the evaluation procedure. The research findings indicate that the cloud model-based approach exhibits strong feasibility and applicability.

The maintenance base, as the “backstage” of highway maintenance projects, lacks unified green environmental construction standards and scientific management methods in the process of transformation and upgrading towards greening and intelligence. Therefore, it is unable to qualitatively evaluate the technical level of intelligence and greening of maintenance bases. combining the situation of green maintenance bases in Jiangsu Province and suggestions from relevant experts on the green evaluation system of maintenance bases, based on meeting the pollutant emission standards, the Analytic Hierarchy Process(AHP) and fuzzy comprehensive evaluation method were used to conduct star rating evaluations of green environmental maintenance bases from four aspects, such as green production, energy conservation and emission reduction technology, intelligent management and control, and operational management. A good green demonstration is served for the construction of new types of maintenance bases in the future.

As global environmental issues become more prominent, wind power, a low-pollution renewable energy source, has garnered attention. However, the variability and intermittency of wind resources pose challenges for predicting wind farm output, affecting power system scheduling and operation. To improve the accuracy of wind power forecasting, weather characteristics influencing power output must be fully considered. By modeling and predicting actual wind farm data, the effectiveness of different deep learning models for ultra-short-term forecasting was compared. The results show that a multivariate time prediction method based on a long short-term memory(LSTM) network effectively predicts wind power, achieving higher accuracy and stability than other deep learning models.

In order to make enterprises more scientific and comprehensive when choosing photovoltaic investment projects, a comprehensive investment evaluation index system was established from the environment, economy and risk and a combination of empowerment-TOPSIS model investment decision-making method for photovoltaic projects was proposed. Game theory is used to combine the subjective and objective weights calculated by the order relationship analysis method and entropy weighting method, which take into account the subjective judgment of experts and also integrates the results of objective data analysis to make the decision more comprehensive and scientific. In the investment decision-making stage, TOPSIS is adopted to calculate the overall degree of superiority, and the alternative projects are ranked in order of superiority and inferiority, so as to select the optimal investment object. Finally, the applicability and feasibility of the model are verified with examples, a theoretical basis is provided for the sustainable development of the photovoltaic industry.

With the rapid development of urban infrastructure, shield tunneling has emerged as a key method in modern rail transit construction, inevitably affecting adjacent buildings and structures. Employing FLAC3D numerical simulation method, the entire construction process of shield tunnels passing beneath drainage culverts were simulated. The main focus of this study lied in analyzing the deformation pattern changes at monitoring points during the shield construction and investigating the specific impact of tunnel construction on drainage culvert structures. The findings reveal that the deformation stability of drainage culvert structures remains within a safe range during shield construction, thus providing theoretical support and reference data for similar projects in the future.

Coastal ocean circulation models have improved dramatically in recent decades, but it is still difficult to obtain sufficient data to constrain and validate simulations. National Oceanic and Atmospheric Administration, hereinafter referred to as NOAA, in cooperation with local fishing vessels, provides a low-cost data observing system that has produced a large number of hourly bottom temperature datasets over a wide area of the US Northeast Continental Shelf over a wide area, generating a large number of hourly bottom temperature datasets. In order to provide a better validation of the coastal ocean circulation model and to help fishermen have a better understanding of the fishing conditions, three existing ocean models were combined and the hourly real-time bottom temperature data was used as a reference to visualize the data from each ocean model and the data from multiple ocean models after Bayesian model averaging, which revealed that the performance of the Bayesian combined model was better. The Bayesian combination model is found to perform better.

The construction forms of overlapping sections of shield tunnels are complicated, so it is urgent to investigate the response rules of existing buildings to the disturbance of tunnel construction, so as to reduce the potential construction risks. In this paper, the finite element method was used to simulate the influence of mud-water shield machine on the existing building foundation when the superimposed shield tunnel was driven. First, the down tunnel was excavated, then the up tunnel was excavated, and the concrete influence of this sequence on the stability of the foundation was studied. The simulation results are compared with the field monitoring data to verify the reliability of the model. The results show that the foundation bottom continues to settle when the tunnel is excavated. When the tunnel is excavated, the settlement of the foundation slows down and a slight uplift occurs. After the completion of the ascending tunnel, the settlement at the bottom of the foundation presents a linear distribution. In addition, the vertical load increases on the basis of the main influence of the stacked tunnel under the existing buildings, which makes the lining stress and deformation increase. The research results will provide design and reference value for cascade tunnel engineering.

With the continuous development of civil aviation in China, research on the competence of flight dispatchers has demonstrated significant value. Based on the analysis of domestic and foreign literature and work practice, a competency evaluation index system for flight dispatchers was innovatively established, which included 8 primary indicators and 36 secondary indicators, with reference to the observable behavior proposed by the International Civil Aviation Organization. The combination weighting and cloud model, including G1 method and entropy weight method, were used for instance evaluation. The results show that the established indicator system can comprehensively and effectively evaluate the competency characteristics of flight dispatchers, which is scientific and reasonable.

At present, heavy metal pollution mainly composed of cadmium(Cd), lead(Pb), zinc(Zn), etc. is becoming increasingly severe, which greatly endangers the development of industry and agriculture and the health of people’s lives. Composite heavy metal ion pollution is the main form of pollution in industrial and agricultural production, and research on the remediation of composite heavy metal contaminated soil has practical significance. In addition, there is relatively little research on the use of acetic acid for the remediation of composite heavy metal contaminated kaolin, and its intrinsic remediation mechanism and reaction mechanism still need to be elucidated. In view of this, taking indoor simulated cadmium lead zinc composite polluted kaolin as the research object, electric remediation technology was adopted and different concentrations of acetic acid solution were used to remediate the composite heavy metal polluted kaolin. Combined with various testing methods, the internal remediation mechanism of polluted soil in the electric remediation process was deeply explored by analyzing the changes in electroosmotic flow, pH, conductivity, residual heavy metal ion and current.

A new type of five degree of freedom hybrid robot(5-DOF) was designed to address the stability issue of aerospace drilling that could not be met by existing parallel robots. The robot integrates the advantages of parallel mechanisms and existing rotary heads, consisting of three Special PurposeUnit(SPU) branches and one Passive Unit(PU) branch, with a unique mechanism layout and stable structural support. Through kinematic analysis of the parallel mechanism and 5-DOF(5-Degrees of Freedom) rotor, as well as position inverse analysis of the hybrid robot, the superiority of the robot in terms of motion performance is verified, providing useful reference for improving robot performance.

Airport economic demonstration zones are becoming the growth poles that drive regional high-quality development. Airport economic zones at different stages of development have heterogeneous needs for industrial structure adjustment. Exploring differentiated and coordinated adjustment strategies is of great significance for promoting airport economic development. Based on the life cycle theory, the development stages of national airport economic zones were divided, and the PVAR model and the coupling coordination degree model were constructed to explore the interaction and coordination degree between industrial structure adjustment and airport economic development. The results show that 8 of the national airport economic zones are in the initial stage, 9 are in the development stage, and 1 is in the mature stage. In the initial stage and mature stage, the upgrading and rationalization of industrial structure promote and hinder the high-quality development of airport economy respectively, but such promoting and hindering effects will gradually weaken in the long run, and the hindering effect may turn to promoting effect in the long run. For the mature airport economic zone, the upgrading of industrial structure will slowly promote the development in the long run. The rationalization of industrial structure will play a great role in promoting. The coupling coordination degree between industrial structure and airport economic development is generally increasing with the development of airport economy, and Nanning, Guiyang and Qingdao airport economic zones are on the verge of imbalance. In view of this, the airport economic zone should pay attention to the rationalization of industrial structure and selectively upgrade the industrial structure in the initial period and the development period, and can focus on the upgrading of industrial structure in the mature period.

The Shandong Provincial Capital Economic Circle, centered around Jinan and radiatingto six surrounding cities, has formed a “1+6” urban development pattern and is an important growth pole for the rise and economic development of the central and western regions of Shandong Province. Collecting Economic indicator data from seven cities and 57 counties within the Shandong provincial capital economic circle, grey relational analysis method was used to measure the agglomeration level between different cities and industries. GeoDa software was used to conduct spatial econometric analysis on the clustering degree of primary, secondary, and tertiary industries within the economic circle. Based on panel data from seven cities within the economic circle from 2003 to 2021, the manufacturing and production service industry synergy agglomeration index was used as the core explanatory variable. Through empirical analysis of double fixed effects, the key driving factors affecting industry synergy are demonstrated, and rational suggestions are proposed.

Taking panel data from 39 listed commercial banks in China from 2013 to 2022, and empirical methods were used to study the impact and mechanism of digital finance development on the operational performance of commercial banks. The research results indicate that digital finance can significantly promote the improvement of operational performance of listed commercial banks. Digital finance has had a significant negative impact on the operational performance of commercial banks in the central and western regions. The impact of digital finance on the operational performance of state-owned commercial banks, joint-stock commercial banks and local commercial banks varies. The level of risk-taking plays a fully mediating role in the impact of digital finance on the operational performance of commercial banks.

With increasingly globalized trade, efficiently, safely, and low-carbon distributing products is a critical challenge in the perishable supply chain network design(PSCND). A mixed-integer linear programming(MILP) model was developed considering perishability uncertainty, limited capacity of facility location, flow allocation and transport mood, aiming to minimize cost, carbon emissions and transportation time, as a case study, optimizing fresh-cut flower processing and pre-cooling centers in Kunming, Yunnan Province, China. The Weibull function was introduced to model the loss of perishable products during transportation. Given the intricate nature of the problem, a hybrid algorithm that integrated the minimum element method with the genetic algorithm was devised. The applicability and validity of our proposed model and algorithm was substantiated through rigorous numerical analysis. It draws out the impact of perishability on establishing processing and pre-cooling centers and modes of transport. Enterprises should decide on the mode of transport and adjust the number and capacity of processing and pre-cooling centers according to the perishability of products.

As global environmental issues worsen, green innovation is recognized as a core strategy for the sustainable development of chemical fiber enterprises. In this study, based on the TOE framework, listed companies in the chemical fiber industry from 2018 to 2022 were selected. The dynamic QCA method was used to analyze how digitalization influences green innovation efficiency. Three paths were identified for improving the green innovation efficiency of these enterprises. The first path relied on the application of digital technologies, the second on the scale of the enterprise and government support, and the third on the balance between digital technologies, government support, and organizational factors. These configurations show strong explanatory power, although individual performance varies across companies.

The data of A-share listed manufacturing enterprises from 2012 to 2021 were selected to empirically test the impact and mechanism of digital transformation on green ambidextrous innovation. The results show that digital transformation promotes green ambidextrous innovation of manufacturing enterprises, and its promotion effect on green substantive innovation is greater than that of strategic innovation. The mechanism test shows that the scale and social responsibility of enterprises positively regulate the role of digital transformation in promoting green ambidextrous innovation. The government regulation is positively adjusting strategic innovation. The heterogeneity test shows that digital transformation plays a greater role in promoting the substantive green innovation of light polluting enterprises. It plays a greater role in promoting strategic green innovation of heavily polluting enterprises.

The recent wave of scientific and technological advancements, has resulted in the emergence of sophisticated digital products and premium digital service components. Furthermore, the enhancement of the quality of export products serves as a significant indicator of the high-quality development of China’s foreign trade. Utilizing data from A-share listed companies and corresponding data from the customs database spanning the years 2005 to 2015, the implications of the liberalization of digital service trade was examined. The findings suggest that the digital service trade substantially contributes to the improvement of export product quality among manufacturing firms. Furthermore, the influence of digital service trade liberalization on the quality of export products varies across different dimensions. The impact of export product quality enhancement is more pronounced in foreign-funded enterprises, capital-intensive industries, and particularly in the central and western regions of the country. Furthermore, larger enterprises located in these regions exhibit a more significant effect on product quality improvement. The mechanisms through which the openness of digital services trade influences the export product quality of manufacturing firms include enterprise productivity and the servicization of manufacturing processes.

Tourism gaze profoundly influences the perception of ancient town landscapes by both tourists and residents. Taking the photos and reviews of Qikou Ancient Town posted by tourists on Dianping website as data sources, combined with content analysis and social network analysis methods, NVivo11.0 and Gephi software was employed to investigate the perceptual characteristics of Qikou Ancient Town’s cultural landscapes from the perspective of tourism gaze. The results reveal that tourists primarily focus on cultural landscape elements such as the ancient town’s rivers, streets and traditional dwellings which perceive material cultural landscapes significantly more than non-material cultural landscapes. In terms of landscape combination perception, tourists have the highest perception of the combination of natural and material cultural landscapes, while their perception of non-material cultural landscape combinations is relatively low. Under the gaze of tourism, the perceptual interaction pattern between tourists and the ancient town landscape exhibits a deep integration of selectivity and interactivity. Moreover, residents’ perception of Qikou Ancient Town’s cultural landscapes has undergone significant changes, including a re-recognition of the value of the ancient town’s cultural landscapes and selective changes in cultural landscape perception based on tourist interest and economic value. In light of this, the study recommends balancing the display of material and non-material cultural heritage, enhancing the quality of the ancient town landscape, and promoting harmonious integration of the ancient town landscape to enhance the perceived experience and satisfaction of tourists and residents.

The ecologicalization of prefabricated building industry plays an important role in promoting the coordinated development of industrial entities and the diversified transformation of industrial value. Through the analysis of the prefabricated building industry ecosystem, the industrial ecological symbiotic evolution model was established using the Logistic equation, and the growth curve of the model was simulated and fitted using Matlab software. Finally, a case analysis was conducted on the innovation ecosystem of the prefabricated building industry in Changsha. The results show that the symbiotic effect coefficient between each subject reflects the degree of interdependence and the closeness of the cooperative relationship between different subjects. The mutualistic symbiotic evolution model can give full play to the synergy between subjects, and targeted policies are put forward for the symbiotic evolution of the system, providing a reference for the symbiotic development of the prefabricated building industry.

The core factors influencing production levels in manufacturing enterprises under the empowerment of the Industrial Internet and their mechanisms of action was investigated. Using grounded theory and the Analytic Hierarchy Process(AHP), key factors were systematically identified that enhance production levels in manufacturing enterprises empowered by the Industrial Internet. Supported by grounded theory, in-depth interviews and open coding were conducted to initially extract the main influencing factors. Subsequently, AHP was applied to perform a weight analysis on these factors, filtering out the most impactful ones. Finally, using a real case study, the mechanism was summarized by which the Industrial Internet empowers the enhancement of production levels in manufacturing enterprises. The results indicate that factors such as operational proficiency, equipment fault warning capability, and data cleansing efficiency significantly promote production levels in manufacturing enterprises under the empowerment of the Industrial Internet. These factors synergistically construct a systematic improvement mechanism. Based on the analysis results, targeted recommendations are provided, offering practical guidance for manufacturing enterprises to more effectively leverage Industrial Internet platforms to improve production levels.

The upgrading of export product quality propels the manufacturing industry to transition from a cost advantage to a quality advantage, facilitating the transformation of the trade model from quantity growth to a balance of quality and efficiency, and accelerating China’s progress towards becoming a trade power. The internal mechanism of service industry openness on the quality of manufacturing export products from the perspectives of the business environment and technological innovation was explored. Empirical analysis shows that for every 1% increase in the level of service industry openness, the quality of manufacturing export products improves by 0.373%, primarily attributed to the improvement of the business environment and technological innovation spillovers. Furthermore, the level of factor marketization also influences this relationship, exhibiting nonlinear characteristics. The enhancing effect of service industry openness on export product quality can only be fully exerted when the marketization of labor, capital and technological factors surpasses a certain threshold.

With the issuance of a series of supportive policies and the rapid development of emerging technologies, the digital public service system is continuously being improved and optimized. Focusing on the actual development of Shandong Province's digital public service system, an evaluation index system for digital public service quality satisfaction that includes 4 criterion layers and 15 target layers was established. Through questionnaire surveys, a fuzzy comprehensive evaluation model was employed to quantitatively assess the quality of digital public services in Shandong Province, and a thorough analysis of the existing issues, particularly the deficiencies in service quality and service innovation was conducted. Based on this, targeted improvement strategies are proposed such as enhancing the timeliness of problem resolution, improving information transparency, strengthening multi-department service integration, providing personalized services, promoting intelligentization levels, and optimizing service processes, in order to effectively enhance the quality of digital public services in Shandong Province and meet the growing service demands of the public.

Basing on the relevant indicator data of Fujian Province from 2008 to 2022, the comprehensive development level of cultural and tourism industries was measured. The coupling coordination model was used to explore the evolutionary characteristics of the coupling coordination degree between the two industries. The results show that the coupling and coordination status between the cultural industry and tourism industry in Fujian Province has entered a stage of high-quality coordination from severe imbalance, but it is still in the intermediate coordination stage at present. The obstacles are manifested as the lag of the tourism industry in the early times, afterward as the lag of the cultural industry, and now the lag of the tourism industry. In view of this, suggestions are proposed to establish a cooperation platform for cultural and tourism entities, and to utilize tourism projects for financing innovation, in order to promote the high-quality coupled development of the cultural and tourism industry.

In the construction of the Northeast Land Sea Corridor, it is an urgent need to enhance the driving force of Liaoning Province’s radiation belt towards the sea and land by leveraging the synergistic effect of the Liaoning Port Group. Taking six ports within the province as the research object, panel data from 2019 to 2022 were selected to evaluate the contribution of each port to the coordinated development of the port cluster using entropy weight method. The dynamic qualitive comparative analysis (QCA) method was used to find a feasible driving path to effectively promote the high level of coordinated development of the Liaoning port cluster. The results indicate that the level of coordinated development of ports is influenced by multiple conditional variables. There are three configuration paths that affect the level of coordinated development of ports, with potential substitution relationships between configurations and no significant time or individual effects found.

Green finance helps the development of low-carbon economy, which is not only a reflection of actively assuming environmental protection responsibilities and meeting the requirements of national energy conservation and consumption reduction indicators, but also a reflection of adjusting economic structure, improving energy utilization efficiency, and building ecological civilization. Henan Province is a province with large population, agriculture, industry and energy, and is one of the important economic regions in China. Firstly, relevant studies on green finance and low-carbon economy was sorted out, followed by correlation analysis based on historical data of Henan Province, and finally the specific situation of green finance and low-carbon economy development in Henan Province was discussed and analyzed, so as to explore the realization path in line with the current goal of Henan’s green finance to support low-carbon economy transformation.

Enhancing the science and technology reward system plays an important role in maintaining regional innovation competitiveness in Guangdong Province. A comparative framework of inter-provincial reward systems and analyzes the reward systems of 31 provinces in China was constructed. Findings indicate that the reward system in Guangdong underemphasizes the role of enterprise innovation subjects, does not align with the region’s innovation capabilities in terms of reward scale, exhibits a scarcity of mandatory guidelines within the nomination process, lacks openness in the evaluation mechanism, and has inadequate supervision and management structures. Moreover, there is a lack of incentive measures for social-force awards. It is recommended that Guangdong Province should moderately increase the scale of awards, establish specific categories for enterprise innovation, expedite revisions to award implementation regulations, refine the nomination process, conduct timely third-party performance evaluations, and introduce pioneering incentives for social entities to establish awards.

Based on the entropy method and the coupling coordination degree model, this paper the coordination degree of economic and water and land resources in Inner Mongolia Autonomous Region was calculated. It is found that the overall economic composite index of each banner county in Inner Mongolia shows an upward trend of varying degrees from 1990 to 2018, but there is spatial imbalance and increasing gap in regional economic development. The natural resources index shows an upward trend, but the increase is small, and the spatial difference of natural resources is relatively large and shows an increasing trend. Since 2005, the coordination degree of Inner Mongolia has shown an N-shape, indicating that the coordination between economic development and water and land resources has a positive trend.

In the context of digital economy, manufacturing enterprises promote high-quality development through digital transformation and upgrading. However, the single champion enterprises in manufacturing industry are different from large manufacturing enterprises because of their limited resources and lower scientific and technological innovation ability compared with large manufacturing enterprises, so how to achieve high-quality development through digitalization is worthy of in-depth discussion. Starting from the perspective of resource arrangement, “resource combination-resource bundling-resource utilization” was taken as the logical main line, taking 10 individual champion manufacturing enterprises in Shandong Province as the research object, the high-quality development path of individual champion manufacturing enterprises on the basis of field investigation and existing research was analyzed, multi-case analysis and rooted theory were combined, and a construction concept derived from practice for subsequent research is layed.

The study of the spatial and temporal patterns of carbon emissions and the influencing factors in the western region is of great significance to the realization of the “double carbon target”. In this paper, the panel data of 11 provinces in the western region from 2000 to 2022 was used to study the spatial and temporal patterns of carbon emissions based on the nighttime lighting data, and the extended STIRPAT model was used to explore the influencing factors of carbon emissions. It is found that the total carbon emissions in the west continue to rise, with obvious regional differences. There is significant high-high and low-low agglomeration of carbon emissions in the west. Although the influencing factors of carbon emissions among the western provinces, municipalities, and autonomous regions show significant differences, the energy structure is the main factor for the growth of carbon emissions, and the industrial structure plays an inhibitory effect.

With the development of technology, the digital economy era has arrived. The 20th CPC National Congress report pointed out that “efforts should be made to enhance the resilience and security level of industrial chains and supply chains” and “promote the deep integration of innovation chains, industrial chains, capital chains and talent chains”, further clarifying the key tasks for modernizing industrial chains.The dairy industry is a long chain industry that involves agriculture, livestock, industry and services. Yili Group is the leading enterprise in China’s dairy products industry and is located at the core position of the entire industrial chain. Meanwhile, the supply chain is an important force that promotes the healthy and stable development of the entire industrial chain. Therefore, achieving digital supply chain management is a trend for future enterprises. The impact of digital transformation on supply chain operations at Yili from 2016 to 2023 was analyzed, identifed the current challenges faced by Yili Group’s supply chain management, and reasonable solutions are proposed.

In order to deeply analyze the current status and trends of electric vertical take-off and landing(eVTOL) aircraft, and reveal the correlation between technological innovation and market demand, the “Incopat” patent database was used to retrieve patent data related to the field of eVTOL aircraft published globally from 2000 to the present. After noise reduction, cleaning and other processing of the retrieved results, a final sample of 2 794 patent data points was determined for analysis. The patent information in the field of eVTOL aircraft was studied from aspects including application trends, layout in major countries, patent technology distribution and analysis of major applicants. It is found that eVTOL aircraft, as an emerging technology field, are experiencing rapid growth in patent application activities globally. The United States leads in technological innovation and patent layout within this field. China still lags behind the United States in the realm of eVTOL aircraft, but it is currently a major source of innovation and a potential industrial base in the market, developing rapidly and poised to become a new leader. Europe, Japan and South Korea are actively making layouts, reflecting a trend of globalized development in this field. Regions such as Shanghai, Jiangsu and Beijing have already emerged as hubs of innovation, while central and western provinces represent future growth areas. However, there is a lack of involvement from relevant research institutes. It is recommended that relevant entities strengthen deep integration and collaborative innovation globally to promote the development of this emerging technology.

Promoting the sustainable development of resource-based cities is an important task for deepening regional coordinated development and building an ecological civilization society. The SBM model was used to calculate the energy utilization efficiency of 282 prefecture level cities in China from 2006 to 2021 from three aspects, such as input, expected output and unexpected output. The National Resource based City Sustainable Development Plan(2013—2020) is regarded as a quasi natural experiment, and the impact of sustainable development policies on energy utilization efficiency is examined using the difference in differences method. It is found that the implementation of sustainable development policies has a significant positive impact on the energy efficiency of resource-based cities, and this conclusion still holds true after a series of robustness tests.

In the context of globalization, the development of new quality productivity provides an important opportunity to enhance the innovation ability of enterprises and promote the internationalization of technical standards. Based on the theory of diffusion of innovation, a theoretical model of the impact of new quality productivity on the internationalization of technical standards was constructed, taking Chinese A-share manufacturing companies listed in 2010—2023 as the research sample. The empirical test finds that the enhancement of new quality productivity significantly contributes to the internationalization of enterprises’ technical standards. Global innovation network embedding plays a mediating role in it. It suggests that firms can accelerate the globalization of technology standards through cooperation and interaction with international innovation agents. This study reveals the influence path of new quality productivity to promote the internationalization of technical standards through global innovation network embeddedness, which further expands the application scope of innovation diffusion theory. Scientific guidance for enterprises is provided to promote the internationalization of technical standards, and is helpful to give full play to the intrinsic potential of new productivity.

A comprehensive evaluation index system was developed for assessing the intelligent innovation capabilities of enterprises, integrating data from A-share listed companies and artificial intelligence policies spanning 2010 to 2022.Employing a multi-period difference-in-differences(DID) approach, the effects and mechanisms were investigated through which artificial intelligence policies enhanced enterprise intelligent innovation capabilities. The findings indicate that these policies facilitate improvements in such capabilities by optimizing resource allocation and signaling positively via three primary channels, which are alleviating financing constraints, augmenting research and development investments, and fostering talent aggregation. Notably, the impact is more pronounced among firms located in eastern regions as well as those classified as SRDI, manufacturing, or information technology enterprises. The conclusions drawn from this research offer significant insights for industrial policy formulation and strategies aimed at bolstering enterprise-level intelligent innovation.

Based on the data of A-share manufacturing listed companies from 2010 to 2022, the difference-in-difference model was used and technological innovation was introduced as a mechanism variable to explore the impact of “Made in China 2025” on the high-quality development of China’s manufacturing enterprises and the role of technological innovation in it. The results show that “Made in China 2025” has a significant role in promoting the high-quality development of China’s manufacturing enterprises, and the promotion effect is more significant in non-state-owned enterprises and enterprises in the central and eastern regions. “Made in China 2025” can promote the high-quality development of manufacturing enterprises by improving their technological innovation capabilities.

Focusing on the annual report tone and listed companies in heavily polluting industries, a unique text analysis dictionary was firstly constructed based on annual reports and social responsibility reports. Then, using data from listed companies on the Shanghai and Shenzhen stock exchanges, generalized additive models(GAM) and Logit regression were applied to explore potential connections between annual report tone and the severity of violations, as well as different types of violations. The findings reveal a non-linear relationship between annual report tone and the severity of violations for listed companies in heavily polluting industries, which can be specifically divided into three stages. Additionally, there exists a significant linear correlation between annual report tone and specific violation types(e.g., fictitious profits, false disclosure), with certain tone features potentially serving as tools to conceal violations. Therefore, regulatory agencies should strengthen their regulatory measures based on text analysis. For investors, non-financial information deserves increased attention.

On the basis of constructing an evaluation index system for energy consumption and green development level, the entropy method, coupling coordination degree model, Dagum Gini coefficient and its decomposition were used to calculate the coupling coordination level of energy consumption and green development in 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) of China from 2006 to 2021, and the regional differences in coupling coordination level among different regions were analyzed in depth. Research shows that the overall level of coupling and coordination between energy consumption and green development in China is on the rise, but the western region leads in energy consumption, while the eastern region leads in green development.The coupling coordination level between energy consumption and green development shows an increasing trend, with the overall level shifting from low coordination to moderate coordination, presenting a situation of “high in the east and low in the middle and west”. The overall difference in the coupling coordination between energy consumption and green development in the four major regions of East, Central, West and Northeast China is gradually narrowing, and the main source of the difference is regional differences. Reference is provided for promoting the deep integration of energy consumption and green development, and achieving the “dual carbon” goal.

Data mining techniques was used to analyze the impact of internal control quality on the disclosure of risk warning information and the mediating role of ownership concentration was explored. Based on data from A-share listed companies in China from 2018 to 2022, it is found that improving internal control quality can reduce the disclosure of risk warning information and validate the mediating effect of ownership concentration. Additionally, internal control quality positively influences the quality of risk warning information disclosure. Enterprises are more sensitive to operational, financial, political and legal risks, but less sensitive to strategic risks. Therefore, companies should strengthen internal control management and adjust ownership concentration appropriately to reduce the disclosure of risk warning information.

As an important part of the regional innovation system, the innovation ability of local universities is crucial to the high-quality development of the regional economy. Based on the panel data of 27 provinces in China from 2010 to 2022, the impact of data elementalization on the innovation ability of local universities was empirically explored. The results show that data elementalization significantly enhances the innovation ability of local universities, and the positive effect of different innovation quantile points is gradually enhanced. Data elementalization indirectly promotes the improvement of the innovation ability of local universities through intelligent innovation drive and industrial structure optimization. In the central and western regions, where the innovation intensity and industrialization level are low, the promotion effect of data elementalization on the innovation ability of local universities is more obvious.

In order to evaluate the development status of cities and their impact on economic growth, combined with the five new development concepts of innovation, coordination, green, openness and sharing, the evaluation index system of urban high-quality development was constructed, the indicators were screened by OLS least squares method, the impact of high-quality urban development on economic growth and the prediction effect the explored by deep learning method, and the prediction results and accuracy of the multivariate LSTM neural network model and the improved multivariate LSTM neural network model were compared. The results show that the multivariate LSTM neural network model with attention mechanism has better prediction effect, the root mean square error RMSE of the model is reduced by 25%, and the coefficient of determination R² reaches 0.9856.

The Loess Plateau is an important ecological zone in China. The changes in vegetation coverage were investigated in the Loess Plateau region from 2001 to2016, as well as the impacts of climatic factors and human activities on it. The result shows that the vegetation coverage in the Loess Plateau has generally exhibited an increasing trend, with a significant extension of the growing season. Overall, the vegetation coverage in the Loess Plateau has a weak or negative correlation with temperature, while it shows a positive correlation with precipitation. Among different land use types, the vegetation coverage of arable land, forest land and grassland has generally increased, whereas the vegetation coverage of water bodies, built-up areas and unused land has decreased overall.

Since its inception, new quality productive forces have garnered extensive attention from both theoretical and practical circles. To objectively grasp and deeply understand the research progress and evolution trends of new quality productive forces, the China National Knowledge Infrastructure(CNKI) database and the CiteSpace software were used to analyze 950 articles published in CSSCI, CSCD, and Peking University Core Chinese Journals. By sorting out the research progress and hotspots, and mapping a knowledge graph, the results reveal that since September 2023, the number of publications in the field of new quality productive forces has grown rapidly, and several influential scholars and research institutions have emerged. However, most scholars lack stable cooperation relationships, showing an overall pattern of “local agglomeration and overall dispersion”. The cooperation among research institutions is not tight, with noticeable regional cooperation but limited cross-disciplinary cooperation. In terms of research hotspots, technological innovation and digital economy have become the focus of scholars’ attention. The integration of new quality productive forces with technological innovation, new quality productive forces and emerging industries, as well as the empowerment of new quality productive forces, have emerged as new research trends. In the future, it needs to build upon current research achievements and continue to deepen the study of new quality productive forces from three aspects, such as strengthening the theoretical and rational explanation of new quality productive forces, expanding the research dimensions of new quality productive forces, and extending the research methods of new quality productive forces.

In order to sort out the current research status, stage hotspots and development trend of rural education digitization in China, an in-depth analysis of the high-quality literature included in the China Knowledge Network database in the past 20 years with the help of CiteSpace software was conducted. It is found that: firstly, the research on digitalization of rural education can be divided into four stages, namely initial exploration, rapid growth, steady development and rapid growth; secondly, the researchers have not yet formed a close research cooperation network; thirdly, there is a lack of a single research methodology and multidisciplinary perspectives; fourthly, the research has gradually shifted from a focus on localised rural development to a balanced urban-rural education. Looking to the future, it is necessary to strengthen the construction of the research team and establish an academic research community, expand research perspectives and promote the diversification of research paradigms, and broaden the scope of research and refine the content of research.

Land is the basis for villagers to carry out production and maintain their survival, and the mode of production and operation of agricultural land is the first and foremost manifestation of land use. Adequate scale operation of land is a major change in the mode of rural management, the key to crack the problem of agricultural development in China, and an effective way to increase farmers’ income and achieve rural revitalization through sustainable agricultural development. Therefore, CiteSpace software was used to sort out and the literature on moderate-scale land management was quantitatively analyzed to show the current status and future trends of research in the field of moderate-scale management of agricultural land. The focus of the future research on land management on an appropriate scale can be summarized as follows: expanding the research field, broadening the research perspective, improving the evaluation standards and research methods of agricultural land management on an appropriate scale, and carrying out spatial and temporal analysis of agricultural land management on an appropriate scale. This paper reviews the literature related to land scale management with a view to informing future research on land scale adequacy.

In order to sort out the research and development of carbon information disclosure in China, based on CNKI database and using bibliometric method and CiteSpace software, 321 core journal literatures collected by CNKI from 2010 to 2024 were visually analyzed from the aspects of annual publication volume, journal distribution, publishing institutions, research hotspots and research trends. The results show that the literature research on carbon information disclosure in China shows an increasing trend, but the degree of cooperation among high-yield authors in this field is not close, and the stable cooperative relationship between research institutions has not been formed. The research in this field mainly focuses on three aspects, such as carbon information disclosure system, influencing factors and economic consequences of carbon information disclosure, and quality evaluation of carbon information disclosure. Under the background of “dual carbon” goal, the construction of carbon information disclosure system combined with specific industries will be the future research direction.

Taking 398 CSSCI literature on ecological governance research in China from 1998 to 2020 by China National Knowledge Infrastructure(CNKI) as the research object, the CiteSpace tool was used to visually analyze the literature characteristics and research hotspots in this field, systematically sort out and explore the hot frontiers and development trends in this field. Research has found that the current average annual publication volume in this field has reached 30 articles, which is the research hotspot with the rapid development in the academic community; The research in this field takes the Chinese Academy of Sciences as the core, and maintains close cooperation with universities or research institutions such as Tianjin University, the Environmental Planning Institute of the Ministry of Ecological Environment and the University of the Chinese Academy of Sciences, forming a relatively wide range of research cooperation groups and some typical institutional cooperation groups. The majority of author collaborations in this field are in groups of 2~4, but a relatively stable core author group has not yet been formed. The research in this field focuses on “ecological environment” as the core hotspot, and the emergence intensity of “environmental governance” “collaborative governance” “restoration governance” and “environmental pollution”is relatively high. Environmental restoration and environmental pollution are the main entry points in this field. The overall trend of research frontiers is from single to comprehensive development, and the hot topics of research include problem analysis and evaluation measurement, exploration of governance measures, and collaborative governance research. The collaborative governance of multiple regional entities and the collaborative governance of regional ecological environment are two important aspects of future research in this field.