Based on data from 13 cities in the Beijing-Tianjin-Hebei Region from 2015 to 2022, an integrated evaluation system was constructed to assess urban development comprehensively across subsystems such as environmental quality, economic scale, social progress, and scientific and technological innovation. The coupling coordination degree model was then employed to measure the coordination of urban development, while the LMDI(logarithmic mean Didier index)model is used to quantitatively assess the contributions of these subsystems to overall coordination. The research results indicate that from 2015 to 2022, the overall development level of the Beijing-Tianjin-Hebei Urban Agglomeration has shown a steady upward trend, reflecting continued progress in economic, social, and technological aspects across cities in the region. However, significant spatial gradients persist in the development levels among these cities. Core cities like Beijing and Tianjin maintain a leading position in overall development, while cities farther from the core area lag behind, leading to a relatively differentiated development landscape within the region. In addition, the degree of coordination of urban development has improved, but the differences in the coordination of development among various cities are still significant. Among them, scientific and technological innovation is the main driving force for the coordinated development and changes of the Beijing-Tianjin-Hebei Urban Agglomeration, while environmental quality is still a key bottleneck restricting coordinated development and has the lowest contribution to coordinated development and changes. Finally, recommendations for optimizing the coordinated development of cities are proposed, including enhancing the radiative influence of core cities, promoting cross-regional interconnectivity, prioritizing innovation resource allocation, and strengthening cooperation in environmental protection and governance.

15111 working face of Huangyanhui Coal Mine in Shanxi Province was selected as the support of the actual project, and the stress distribution state and roadway deformation characteristics of coal pillar and solid coal under different coal pillar widths were analyzed in depth, aiming to realize the optimal design of the parameters of coal pillar excavation along the gob of the track channel in this working face. The lateral stress distribution law of goaf was deeply discussed, and the stress distribution of small coal pillar after goaf excavation was studied. At the same time, the distribution characteristics of vertical stress and horizontal stress during mining are comprehensively analyzed, and the specific values of vertical displacement and horizontal displacement in mining stage are precisely measured. The research results show that with the continuous increase of the width of coal pillar, the stress carried by coal pillar and solid coal increases correspondingly. At the same time, the increase of the width of coal pillar causes the deformation of the two sides of the tunnel to expand first and then shrink, and the deformation decreases further when the tunnel reaches a stable state. However, the deformation of the top plate and the bottom plate showed a gradually decreasing trend. Through research and analysis, the optimal design size of coal pillar in goaf excavation is optimized and determined. The research result will provide a key and reliable reference standard for the coal pillar maintenance of Huangyanhui Coal Mine and other similar projects, and effectively promote the improvement of the safety, stability and economy of the project, which has important value for promoting the technological progress in related fields.

Quantitatively assessing the incentive effect of tax incentives is of practical significance for playing the regulatory role of tax policy and promoting the development of enterprises. Taking the implementation of accelerated depreciation policy of fixed assets as a quasi-natural experiment, selecting the data of A-share listed companies in Shanghai and Shenzhen from 2010 to 2022 as samples, a multi-period double difference model was constructed to empirically test the incentive effect of tax preferential policies on enterprise growth. It is found that the policy of accelerated depreciation of fixed assets can significantly promote the growth of enterprises, and the incentive effect of this policy is heterogeneous, subject to the nature of the enterprise's equity, the nature of the industry and the size of the constraints, the growth incentive effect on non-state-owned enterprises, high-tech industry enterprises and large-scale enterprises is better. On the basis of empirical research, suggestions are proposed to further improve the tax preference policy and promote the growth of enterprises.

Based on the data of Shanghai and Shenzhen A-share listed companies from 2011 to 2022, a two-way fixed effect model was used to study the impact of digital transformation of enterprises in the Guangdong-Hong Kong-Macao Greater Bay Area on new quality productivity. The results show that the digital transformation of enterprises has significantly improved the level of new quality productivity. Mechanism-wise, the digital transformation of enterprises further promotes the development of new quality productivity by optimizing human capital, enhancing innovation quality, overcoming financing constraints, and broadening international perspectives. Heterogeneity analysis indicates that non-state-owned enterprises and high-tech enterprises perform more outstandingly in terms of improving new quality productivity in Guangzhou and Shenzhen.

The high-quality development of the sports goods manufacturing industry serves as a significant driver for building a sports powerhouse. Based on the summarization and interpretation of the connotation of high-quality development in sports goods manufacturing, an evaluation system was constructed using the entropy method. The evaluation system encompasses five dimensions, industry scale, industrial quality, innovation level, structural optimization, and green development along with 12 measurement indicators. Utilizing these indicators, the high-quality development level of the sports goods manufacturing industry in Henan Province was measured, and it is compared with that of 14 other provinces, including Fujian, Jiangsu, Zhejiang, and Guangdong. Building on this analysis, recommendations are proposed to enhance the high-quality development of the sports goods manufacturing industry in Henan Province.

Exploring the coupled coordination between regional economic high-quality development and ecological environmental protection is the basis for integrating the promotion of high-quality development and high-level ecological protection. Based on the data of Heilongjiang Province from 2010 to 2022, the coupling coordination model and decoupling model were used to measure the coupling coordination degree and decoupling index between the two systems. The results show that the index of high-quality economic development in Heilongjiang province shows a fluctuating upward trend, and the index of ecological environmental protection steadily recovers after experiencing a significant decline. The degree of coupling and coordination between the two systems generally shows a rising trend, but there is still a gap with the state of high-quality coupling and coordination. Heilongjiang Province has experienced the decoupling state transition of “strong negative decoupling-expansive negative decoupling-weak decoupling” at various stages, and the decoupling state is great, while only a few years of each prefectural-level city have reached the ideal decoupling state. Based on the conclusions, countermeasures are proposed to promote the synergistic development of regional economic quality and ecological environment.

In recent years, high-tech enterprises have shown good performance in innovation output. Using a total of 5 418 sample data from 2021 to 2023, a regression model for empirical analysis was established to explore the impact of R&D expenses and R&D personnel on the innovation performance of enterprises. The research results show that both R&D expenses and R&D personnel have a positive impact on the innovation performance of enterprises. Heterogeneity analysis reveals that R&D expenses positively promote the innovation performance of large, medium, and small enterprises, but have no significant impact on the innovation performance of micro enterprises.

To address the limitations of traditional gas consumption prediction methods in dealing with complex time series data, a combined model (CNN-BiLSTM-Attention) integrating convolutional neural networks, bidirectional long short-term memory networks, and attention mechanisms is proposed for urban gas consumption prediction. An empirical analysis was conducted on the actual gas consumption situation of a city in the western region. The results show that the root mean square error, mean absolute error, and coefficient of determination of this model are 19.14, 17.53 and 0.966 6 respectively, and its prediction effect is significantly better than that of other models. The research indicates that the CNN-BiLSTM-Attention network model provides an effective solution for urban gas consumption prediction and offers a scientific basis for urban energy management and decision-making.

In order to address the issues of arbitrariness and blindness in emergency rescue force allocation for mountainous highway tunnels, the principles of emergency response resource allocation was studied, and an optimized resource allocation model specifically tailored for mountainous highway tunnel networks was proposed. By abstracting and modeling the road network, this model effectively positions emergency response points and introduces a phased collaboration strategy to optimize the deployment of emergency rescue forces, which not only focuses on efficiently utilizing limited rescue resources but also emphasizes the feasibility and effectiveness of practical operations. Through case study validation, this model demonstrates robust practicality and operability, it can provide a scientific basis and effective tool for emergency rescue efforts in mountainous highway tunnels.

At present, the environmental costs of a large number of enterprises in China remain high. Exploring can the introduction of artificial intelligence effectively control the environmental costs of enterprises has significant importance. The financial data of Shanghai and Shenzhen A-share listed companies from 2013 to 2023 was collected to empirically test the relationship between the artificial intelligence level of enterprises and environmental costs. The research findings are as follows there is a significantly negative correlation between the introduction of artificial intelligence technology and the environmental costs of enterprises. The mechanism of action shows that the development of artificial intelligence by enterprises reduces their environmental costs through the mediating effects of alleviating financing constraints, improving the quality of internal control, and enhancing the quality of innovation. The heterogeneity analysis indicates that the impact of artificial intelligence on environmental costs varies under different enterprise scales and industry attributes.