New-generation information technologies, such as big data and cloud computing, are leading industrial transformation and propelling the global shift towards the digital economy era. Digital transformation has emerged as a new competitive frontier in the global arena and a new engine for China’s economic development. By integrating traditional production factors, optimizing resource allocation, enhancing automation and intelligence, and reducing production costs, digital transformation is fostering efficiency gains. The real estate industry faces complex challenges, prompting real estate enterprises(REEs) to compete in leveraging new technologies for digital transformation to cut costs, enhance efficiency, and facilitate diverse industrial layouts. A shared service system based on a digital middle platform architecture was widely applied in diversified businesses, aiding REEs in nurturing data assets, achieving full-link system integration, and responding to business innovation needs, thereby reshaping their core competitiveness. By systematically reviewing theories on digital transformation and digital middle platform architectures, and conducting in-depth research on REEs to analyze the process and application logic of digital transformation based on a middle platform architecture, business scenarios before and after transformation were compared to reveal the challenges and value creation in the digital transformation of REEs, providing recommendations for their digital transformation journey. The research indicates that the digital transformation of REEs involves establishing a digital foundation through three stages of informatization, online enablement and intelligence, gradually building a digital middle platform, adjusting organizational structures, integrating ecological resources and enabling intelligent decision-making. This transformation holds profound significance for enhancing their digital leadership, business innovation capabilities, and promoting high-quality and sustainable enterprise development.

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.

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.

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.

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.

Bridge expansion joints play a crucial role in bridges. In order to solve problems such as the relatively high maintenance costs of traditional expansion joints, an assembled and quickly installed multi-directional displacement bridge expansion joint (hereinafter referred to as the ZPF assembled expansion joint) was now proposed. According to the “General Technical Requirements for Highway Bridge Expansion Joints” (JT/T 327—2016), on-site fatigue tests were designed, and finite element analysis was also carried out at the same time. The test results show that the fatigue life of the ZPF assembled expansion joint decreases as the fatigue load increases. The fatigue life of the ZPF assembled expansion joint depends largely on the concrete under the embedded steel plate. During the loading of the fatigue performance test for 2 million cycles, the overall structure is safe and stable without any abnormal phenomena. The research results can provide a basis for the application of the ZPF assembled expansion joint.

In the context of rising trade protectionism and intensifying geopolitical competition, both endogenous drivers and exogenous pressures for the outward transfer of China’s manufacturing sector have increased. Based on the estimation of the scale of China’s manufacturing outward transfer using the ADB input-output table, text analysis and empirical analysis methods were employed to examine the “endogenous drivers” and “exogenous pressures” of China’s manufacturing outward transfer. The results indicate that both endogenous drivers and exogenous pressures coexist in the outward transfer of China’s manufacturing sector, with endogenous drivers being the primary force, but exogenous pressures are gradually becoming an important driving factor. The overall endogenous drivers for the outward transfer of China’s manufacturing include market seeking, technology acquisition, resource acquisition, utilizing cheap labor costs and host country institutional environments. Meanwhile, the exogenous pressures include manufacturing reshoring and trade frictions. However, when considering the motivations of utilizing cheap labor costs and resource acquisition, China also takes into account labor quality and the host country’s infrastructure conditions. Heterogeneity analysis reveals that the transfer to developing countries is mainly driven by endogenous factors, while the transfer to developed countries, as well as the outward transfer of low-tech and medium-high-tech manufacturing, is influenced by both endogenous drivers and exogenous pressures. Additionally, manufacturing reshoring has a greater driving effect on the outward transfer of China’s medium-high-tech manufacturing.

Considering the process of digital technology adoption by construction enterprises, where imitation learning and herd effect were factored in, game theory was employed to construct both a decision model and a diffusion model for enterprise groups concerning digital technology issues. Through numerical simulation, the impact of exchange benefits, exchange intensity, and initial adoption ratio of construction enterprises on their digital technology behavior was studied, and further strategies to promote the adoption and diffusion behavior of digital technology in enterprises were explored. The result shows that the higher the exchange benefits, the more companies tend to adopt digital technology. The exchange intensity has a positive driving effect on accelerating the adoption and diffusion of digital technology. The higher the initial adoption ratio, the more effective it is in promoting the widespread formation of digital technology adoption decisions.

By constructing a comprehensive evaluation system for the digital transformation of manufacturing and the development of the digital economy, the coupling and coordination status of these two systems across 30 provinces in China from 2011 to 2019 were analyzed. Their dynamic changes and regional disparities from multiple dimensions were further examined. The research reveals that during this period, both the level of digitalization in manufacturing and the development of the digital economy show an upward trend across all provinces. However, there remains a significant gap between the achieved level of system coupling and the benchmark for high coupling. Despite this, the overall coupling and coordination degree has been on an upward trend, indicating a positive interaction and progress between the two domains. Regional analysis demonstrates that the coupling degree among provinces first increases and then decreases from east to central and western regions. Conversely, the coupling and coordination degree decreases progressively from the eastern to the western region.

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.