Since the advent of the reform and opening-up policy, the establishment of national-level new areas has had varying degrees of impact on regional development. Shenzhen Special Economic Zone has contributed to the development of the Pearl River Delta, Pudong New Area has facilitated the growth of the Yangtze River Delta, and the Binhai New Area has supported the development of the Beijing-Tianjin-Hebei region. The starting point and situation of Qingdao West Coast New Area bear many similarities to Shanghai’s Pudong New Area. Quantitative analysis was employed to reveal that industrial structure, innovation, leadership in openness, and domestic trade are the primary influencing factors of the inherent mechanisms of development and openness in Pudong New Area, as well as its role as a regional growth pole. It also offers policy recommendations for Qingdao West Coast New Area to establish itself as a regional development growth pole.

Selecting 48 national-level rural tourism key villages in Shandong Province as the research samples, spatial analysis methods were employed to describe their spatial distribution characteristics and structural features, while the Geodetector, a quantitative analysis tool, was utilized to explore the mechanism of influencing factors. The results indicate that the rural tourism key villages in Shandong Province exhibit an aggregated distribution pattern, with an overall uneven distribution and a relatively concentrated distribution at the municipal scale, particularly clustering at municipal boundaries and along coastal areas. The spatial distribution of these key villages is jointly influenced by natural environment, transportation conditions, socio-economic factors, and resource endowments. Among them, socio-economic factors are the dominant ones affecting the spatial distribution of rural tourism key villages in Shandong Province.

Land-sea integration is a new concept derived from the concepts of “land sea coordination”. It is a strategic guiding ideology for China to handle the relationship between ocean and land development, and is of great significance for promoting coordinated development between land and sea. As the closest super large city to the deep waters of the South China Sea in China, Shenzhen has not yet been able to effectively transform its location advantages and land technology industry advantages into advantages for the development of the marine economy, compared to its strong foundation in land warfare and technological innovation. The marine economy faces problems such as small total volume and emerging industry scale, low degree of integration of the sea land industrial chain and uncoordinated development. Starting from the core connotation of land sea integration, the current situation and existing problems of Shenzhen’s land sea economic integration development, and the strategy integrated development of land-sea economy were deeply analyzed.

The terrain and geological conditions in the mountainous area of western Sichuan are complex and changeable. Dangerous rocks are mostly developed in high and steep slope sections, which pose a serious threat to the safety of highway traffic after collapse. Taking the tail perilous rock of Qiaoqi Reservoir in Baoxing County of Ya’an City as an example, the basic characteristics of perilous rock were analyzed by means of UAV aerial survey and field investigation. Rocpro3 D software was used to simulate the three-dimensional kinematics to evaluate the collapse damage. Finally, the treatment suggestions are given for the dangerous rock in the working area. The results show that the formation of dangerous rock in the working area is caused by the combined action of tectonic compression, rainfall erosion and weathering unloading. Strong rainfall and strong earthquake are the typical causes of dangerous rock collapse. The maximum impact energy after the collapse of dangerous rock in the working area is more than 5000 kJ, and the removal of large-size dangerous rock can effectively reduce the impact energy value. After the collapse of the dangerous rock in the working area, it shows the stage motion characteristics of rolling along the slope → bouncing after hitting the road surface near the surface of the 351 national highway → stopping the accumulation of the riverbed and bank slope of the East River. The treatment scheme of dangerous rock removal+passive protection network+open hole+frame anchor rod can be used for prevention and control.

Whether industrial structure upgrading and postgraduate training are coordinated is the key to the revitalization and development of Liaoning Province. By constructing a comprehensive evaluation index system, the evolutionary characteristics of the coupled and coordinated development of the two systems in Liaoning Province from 2012 to 2022 and their influencing factors were analyzed. It is found that the development level of both systems in Liaoning Province has made significant progress, but the trend of industrial structure upgrading lagging behind graduate training is becoming more and more obvious. The overall level of coordination in Liaoning Province has improved year by year, transitioning from on the verge of dissonance to good coordination. Among them, Shenyang and Dalian have reached the state of good coordination, while other areas are still in the state of dysfunction. In the industrial structure upgrading system, the Tel index and total factor productivity have a greater impediment to coordinated development. And in the system of postgraduate training, the number of enrolled students, education expenditure and the number of master’s degrees granted are the main hindering factors. In addition, the level of economic development and the development of the central city have a positive effect on the coordinated development of the two systems.

To understand and grasp the impact of the planned project on the atmospheric environment of Yumen City and the surrounding counties and cities after its completion, the WRF-Chem model method was used to study the PM2.5 and O₃ concentrations in Yumen City after the completion of the project. Two scenarios were predicted. Scenario One, where the total amount of waste gas generated in the industrial park after the completion of the project is 3 127.75 t/a, and Scenario Two, where the total amount of waste gas generated is 5 112.74 t/a. The model simulation results indicate that during the planning period, the 8-hour average concentration of O₃ at each environmentally sensitive point, when added to the current concentration, meets the standards under the guaranteed rate. Under Scenario One, both the daily average and annual average concentrations of PM2.5, when added to the current concentration, meet the standards. Under Scenario Two, the daily average and annual average concentrations of PM2.5 at the boundaries of the Mahuangtan core area, Mahuangtan buffer zone, and the experimental area of the Nanshan Nature Reserve exceed the standards when added to the current concentration, while other sensitive points meet the standards. To meet the control targets of the planning area, it is recommended to implement stricter pollution source reduction measures to ensure continuous improvement of PM2.5 concentrations.

It is of great practical significance to explore how B2B enterprises select suitable third-party logistics providers in the context of e-commerce. A multi-criteria decision-making model was established to evaluate and compare the comprehensive competitiveness of multiple third-party logistics providers by using the fuzzy analytic hierarchy process. The model considers key factors such as service quality, cost optimization, flexibility, technical capabilities and corporate responsibility. Subsequently, the selection process is further optimized by combining stochastic integer programming and robust optimization methods to ensure that business needs are met while maximizing cost-effectiveness. Finally, the effectiveness of the proposed method is verified through case studies, providing scientific decision-making support for B2B enterprises in selecting third-party logistics in an e-commerce environment.

Under the backdrop of the Chinese government’s emphasis on the digital economy and data elements, relevant ministries and commissions further clarify the policy framework for the inclusion of data assets in corporate financial statements in 2024, thereby unlocking greater potential for data elements. Against this background, the panel data firstly used from 18 companies that had incorporated data assets into their financial statements, employing the Difference-in-Differences(DID) method to examine the impact of data asset inclusion on profitability metrics of listed companies. The findings reveal that, under the current data management framework, while the inclusion of data assets positively influences the profitability of listed companies, the impact remains relatively limited. Despite the undeniable positive significance of data asset inclusion for enterprises, the process has yet to significantly boost overall corporate profitability. This limitation arises from the fact that the value assessment system for data assets is not yet fully reflected in the existing accounting standards, and the maturity of the inclusion process requires further improvement. To better harness the potential of data assets and enable companies to reap the benefits of their inclusion, future policies should focus on optimizing the management and valuation systems for data assets, enhancing the market-driven application of these assets, and ensuring deeper integration of relevant accounting standards and regulations. These measures would help unlock the value of data assets, activate corporate data resources, and provide robust support for profit growth.

Based on data from all A-share listed companies from 2014 to 2023, the impact of corporate social responsibility(CSR) information disclosure on supply chain resilience was empirically examined. CSR information disclosure mainly promotes the enhancement of supply chain resilience through two pathways, such as reputation effect and resource aggregation effect. This conclusion remains valid after robustness andendogeneity tests. Heterogeneity analysis reveals that the impact is more significant for state-owned enterprises and small and medium-sized enterprises. These findings enrich the theories related to CSR information disclosure and supply chain resilience, and assist companies in formulating more scientific CSR strategies during optimization and upgrading processes to improve supply chain resilience.

ESG ratings from Bloomberg(2006—2022), Huazheng(2009—2023) and China’s listed companies as samples were used. Correlations of ESG scores, ESG in different industries, and heterogeneity analysis of ESG was explored. Empirical results show that Environment(E), Social(S) and Governance(G) affect ESG scores significantly, with G having the greatest impact, followed by E and then S. ESG performance varies across industries. The finance-insurance sector is good at environment but weak in social aspects. The accommodation industry improves ESG ranking through social efforts. The agriculture and forestry service industry has an imbalance in governance and social development. ESG strategy advice are given for the government and companies.