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.

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.

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.

The impact of economic policy uncertainty on M&A performance was examined. Taking the M&A data of A-share listed companies from 2007 to 2023 as the study sample, it is found that the impact is negative and statistically significant, and the moderating effect factor investor sentiment exacerbates this impact. Further analysis shows that during economic upturns, economic policy uncertainty has the greater significant negative effect on M&A performance compared with the economic downturns. The similar condition happens in the enterprises with non-concentrated institutional investor holdings. But economic policy uncertainty does not seem to influence the M&A performance of the enterprises with green M&A type or located in first-tier or new first-tier cities.

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.

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.

Digital economy has become an irreversible development trend, and the national level actively advocates the cluster development of digital economy related industries. Given that Guangdong Province occupies a leading position in the development of digital economy in China, it is of profound practical significance to explore the specific impact and mechanism of different levels of industrial agglomeration and knowledge spillover effect on the innovation ability of digital economy enterprises in Guangdong Province. Based on the digital economy patent data of listed enterprises and the economic indicators of prefecture-level cities in Guangdong Province,threshold regression model and spatial Durbin model were applied to conduct in-depth analysis. The research conclusions are as follows. The agglomeration level of digital economy industry shows a significant single threshold effect on the innovation ability of enterprises, and the relationship between the two shows an inverted “U” shape. The innovation capability of digital economy enterprises presents a distinct spatial agglomeration characteristic, and the knowledge spillover effect has a significant positive promoting effect on the improvement of enterprise innovation capability.

Agriculture is the cornerstone of building a modern country. As the impact of global climate change on agricultural production intensifies, studying how agricultural enterprises can respond to challenges such as extreme weather and resource scarcity is crucial for improving agricultural adaptability and mitigating the negative effects of climate change. Based on empirical data of A-share agricultural listed companies from 2013 to 2022, fixed effect and mediation effect models were selected to test the impact of climate risk on business performance. The research results indicate that climate risk has a negative impact on the operational performance of agricultural enterprises, and green innovation plays a mediating role in it. Heterogeneity results show that non-state-owned enterprises are more significantly impacted by climate risk than state-owned enterprises. Important theoretical basis and practical guidance are provided for agricultural enterprises in addressing climate risks.

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.