As an important means of energy storage project, salt cavern storage will cause the cavern to contract due to the fluctuation of injection and extraction pressures, which in turn can lead to surface subsidence. Numerical simulation analysis has been conducted on the main influencing factors of surface subsidence of double cavity under different injection and extraction cycles, and it has been found that reducing the injection and extraction cycle can slow down the trend of surface subsidence. An analysis of the probability of cavern failure in the operation of a salt cavern storage with a 60 d injection and extraction cycle has been carried out. When the pressure fluctuation of the storage exceeds 1 MPa, the probability of cavern failure will exceed 20% after 30 a. Therefore, when designing the operating conditions of salt cavern, it is necessary to consider the impact of pressure fluctuations on surface subsidence and control the fluctuation range of pressure according to the design life of the storage.

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.

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.

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 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.

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.

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.

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.

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 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.