Based on the data of tourism transportation, tourism accommodation and tourism activities, the carbon emissions of Xi’an's tourism industry from 2010 to 2021 was calculated using the “bottom-up” method. A decoupling model was constructed using the Tapio decoupling index, and the decoupling effect between carbon emissions and tourism economic growth was explored. The results show that the carbon emissions from tourism transportation are the main contributor of the carbon emissions of the tourism industry in Xi’an. The overall carbon emissions of Xi’an's tourism industry showes a downward trend, while there is still considerable room for improvement. The relationship between tourism carbon emissions and economic growth in Xi’an predominantly demonstrates a state of decoupling, indicating significant potential for further carbon reduction.

To study the mechanism of the effect of higher education on economic growth, Based on the panel data of 30 provinces in China (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) from 2010 to 2021 was used. This role of technological innovation in the impact mechanism of higher education was firstly explored by using the mediation effect, and then the relationship between higher education and economic growth was empirically analyzed by using the spatial error model. The results show that in the mediation effect test, all variables passed the significance test. From a spatial perspective, there are regional differences in the role of technological innovation in economic growth. Therefore, the mediating effect of technological innovation is the pathway through which higher education plays a role in economic growth.

Since the reform and opening-up policy was implemented in 1978, China has loosed its household registration policy and rapidly advanced the construction of urbanization. The pattern of population migration has shifted from planned migration to autonomous migration. The Jiangsu-Zhejiang-Shanghai region has experienced a significant increase in the scale of the in-migration population, thence it is highly meaningful to research its driving mechanisms. Based on the in-migration data in the sixth population census, a multivariate linear regression model was constructed by the independent variables, such as the resident population, per capita GDP, per capita employment wage, per capita medical beds, population with a college degree or above and distance. Furthermore, the hierarchical Bayesian theory was introduced to reduce the indeterminacy of parameter estimation. The results show that economic factors serve as the primary driving force. Population factors, the education factor and distance factor also play important roles, while the medical factor has a relatively weak effect.

In recent years, China has begun to regulate real estate prices based on monetary policy. In order to study the impact of monetary policy on real estate prices, the QVAR model was used to explore the impact of monetary policy factors on real estate price changes by using quantile impulse response graph and variance decomposition. The monetary policy used the quantitative monetary policy, the money supply M2 and the price-based monetary policy, the interbank interest rate as the standard, and the real estate price from 2003 to 2023 as the impact variables, and the M2 growth rate and the interbank interest rate were used to make quantile impulse response function graphs and variance decomposition analysis based on the QVAR model for real estate prices. The results show that quantitative monetary policy is negatively correlated with real estate prices in the short term and positively correlated in the long term, and price-based monetary policy is negatively correlated with real estate prices, and the influence of money supply on real estate prices accounts for a larger weight.

In order to study the deformation and failure mechanism of a high steep slope under underground excavation, the influence of different locations of tunnel excavation on slope stability was analyzed by using the finite element sliding surface stress method, and the failure mechanism and deformation characteristics of slope instability induced by underground excavation were systematically studied. The results show that the underground excavation destroys the original equilibrium system of the slope, redistributes the stress of the slope in the influence range of the excavation, and creates new tensile stress regions, compressive stress regions and shear stress regions in different areas of the slope, which causes adverse additional displacement on the surface and internal points of the slope, and thus has a significant impact on the stability of the slope. According to the position relationship between underground excavation holes and sliding surface, slope instability induced by underground excavation can be divided into four types, which are local slope collapse, slope A-type slip, slope B-type slip and slope C-type slip, and the failure process and mechanical mechanism of each type of instability are revealed.

The Huailiangzi landslide has experienced significant deformation under continuous heavy rainfall, posing a serious threat to the safety of residents’ lives and property. Based on detailed geological surveys, a landslide numerical model was constructed using the finite difference method and a coupled seepage-stress analysis approach was employed to investigate the stability of the landslide, as well as the evolution characteristics of the seepage field and displacement field under different rainfall scenarios. The results show that the Huailiangzi landslide is generally stable under natural conditions. However, under the influence of external adverse factors such as heavy rainfall, the stability of the slope significantly decreases. In particular, under continuous rainfall, the increase in pore water pressure is substantial, significantly increasing the likelihood of overall landslide movement. The findings provide important theoretical support for early warning systems and mitigation engineering of similar landslides.

Taking seven popular BYD models as research objects, 27 283 long-text reviews from AutoHome and DongCheDi were collected. Effective short texts were extracted using the DeepSeekV2 model, followed by BERTopic modeling to identify key consumer focus areas, including pure electric performance, blade battery and noise control. The experimental results reveal that consumers give positive feedback on battery technology and range capability but express concerns about comfort-related issues such as tire noise, wind noise and interior odors. The contributions of this study include proposing the use of the DeepSeekV2 model to split long texts, enhancing the adaptability of BERTopic in data analysis,and combining semantic embedding and hierarchical clustering techniques to uncover consumers’ multidimensional concerns and their structural relationships.

Taking the Shanghai and Shenzhen A-share listed companies from 2012 to 2022 as an example, the relationship between the degree of enterprise digital strategic commitment and the risk of stock price crash was discussed. The results show that high-level digital strategic commitment can reduce the risk of stock price crash, and reveal the mechanism of information asymmetry in the influence between enterprise digital strategic commitment and the risk of stock price crash. By exploring the economic consequences of enterprise digital strategic commitment and the influencing factors of the risk of stock price crash, this study can fully realize the potential economic value of enterprise digital strategic commitment and promote the realization of high-quality development goals of enterprises and capital market.

The development of advanced manufacturing clusters is an inevitable requirement for Shandong to build a strong manufacturing province, and it is also an important focus for overall development and security. In the context of the unstable global political, economic and trade environment, the resilient development of advanced manufacturing clusters will become the key to resisting risks and promoting growth. On the basis of combing the development effectiveness of advanced manufacturing clusters in Shandong Province, the shortcomings and bottlenecks faced by the development of clusters were analyzed, the mechanism framework for the formation of the resilience of advanced manufacturing clusters were studied and proposed. Countermeasures and suggestions are put forward for improving the resilience of advanced manufacturing clusters in Shandong Province from the three levels of promising government, effective market and strong society, in order to provide an effective reference for promoting the advanced manufacturing industry in Shandong to move towards the middle and high-end and improving the resilience and safety level of the industrial chain and supply chain.

The policy of adding deduction for R&D expenses has a broad impact on high-tech enterprises, especially on their innovation activities.High-tech enterprises from 2014 to 2023 was taken as the research object to examine the impact of the R&D expense plus deduction policy on enterprise innovation. The results of the study show that enhancing the intensity of the policy has a more significant incentive effect on both R&D investment and innovation ability of high-tech enterprises. These effects are heterogeneous in terms of enterprise size, that is the incentive effect on innovation is better for large-scale enterprises. Based on the conclusions of the study, it is recommended to further increase the proportion of R&D expenses plus deduction, optimize the design of tax incentives to take into account enterprises of different sizes, and establish a perfect policy evaluation and feedback mechanism to provide a good platform for enterprise innovation.