Because of the separation of enterprise ownership and management rights, the contradiction between managers and shareholders is always the root cause of intensifying the conflict of interest between them. Equity incentive, as an effective medium and long term incentive mechanism for management, can alleviate agency problems and reduce agency costs, and is an important means to solve conflicts of interest. In order to improve the loyalty of the management to the company, prevent the short-sighted behavior of the management, and guide the management to maximize their personal talents, based on the data of Shanghai and Shenzhen A-share listed companies from 2014 to 2022, descriptive statistics, correlation analysis, regression analysis and other analytical methods were used to study the relationship between executive equity incentives and corporate performance. It is found that the implementation of equity incentive has dual significance. It can not only effectively improve enterprise performance, but also reduce agency costs.

A study on evaluating and forecasting the demand for tourism accommodation facilities in Jinan Citywas conducted. Data was crawled from platforms such as Ctrip, GoWhere.com, and Meituan using Python crawler technology. The LDA topic model was applied to uncover the latent thematic structure within the text data, enabling effective classification of accommodation place labels. Machine learning methods, including XGBoost, CatBoost, LightGBM, and RandomForest, were used to screen the core indicators that affect the ratings of lodging places. An evaluation system was constructed by combining the hierarchical analysis method (AHP) and the entropy weighting method to determine weights. Visual analysis was performed to reveal differences in reception capacity across various themes, accommodation types and areas, as well as proximity to transportation, business districts, schools and scenic spots. Suggestions for optimization are proposed based on the hotel’s theme, rating distribution, geographic location, review count and price, aiming to enhance service quality and supervision, thereby increasing reception capacity and user satisfaction.

The premise of realizing the ownership rights and interests of national natural resource assets lies in the accurate evaluation of asset value. With the deepening of research, the scope of natural resource asset evaluation has gradually expanded from the initial simple econometric quantity value to the more complex economic-ecological comprehensive value. Therefore, a comprehensive and systematic requirement is put forward for the evaluation of natural resources assets. Based on the requirements and practical exploration of the natural resource principal-agent mechanism, the construction of the natural resource asset value evaluation framework was studied, and the construction of the natural resource asset evaluation framework under the principal-agent purpose of national ownership of all natural resource assets on the basis of clarifying the logical relationship between various evaluation items was exploresd. It is expected to be beneficial to the value accounting and the implementation of the owner’s equity in the later stage of the entrustment of the ownership of natural resources assets.

Conglomerate reservoir is an important type of unconventional oil and gas reservoir. During the development process, it is found that the nature of the cementation surface between the gravel and the matrix affects the fracture propagation behavior. In order to clarify the effect of cementation strength on crack growth, a numerical model of conglomerate uniaxial compression was established by using PFC2D discrete element package, and four stages of crack growth and micro-fracture mechanism were studied. The results show that the mechanical properties of conglomerate gradually change from plastic to brittle with the increase of cementation strength, and the critical cementation strength ratio is 0.3.The influence of cementation strength on crack growth is mainly in the elastic stage and the stable crack growth stage. Under weak cementation (CSR<0.3), isolated shear cracks occur on the gravel edges in the elastic stage, and shear crack networks are connected in the stable growth stage. Under strong cementation (CSR>0.3), there are almost no cracks in the elastic stage of the gravel edge, and only sporadic isolated tensile cracks in the stable crack growth stage. The additional stress caused by the disharmony of deformation between gravel and matrix under weak cementation is the reason that the edge of gravel is the first to break and form an isolated fracture. These results indicate that weak cementation is conducive to the formation of complex fracture networks. A reference is provided for revealing the fracture propagation law of conglomerate reservoir.

Citing the ‘Urban Catalyst Theory’, the design methods and strategies of industrial heritage renovation under the catalyst theory were discussed to inherit the history and culture, strengthen the interaction and integration with the surrounding environment, support was provided for the sustainable development of the city, and the development of the social, environmental and economic aspects of urban renewal was promoted. Through analyzing the case of High Line Park, the operation mechanism of urban catalyst theory in urban regeneration and its important role in promoting sustainable urban development is illustrated. New theoretical perspectives and practical strategies are provided for the field of urban renewal, and are of great theoretical significance and practical value in promoting sustainable urban development.

The 21st century is an era of explosive development of data information, and data is filled with the whole field of society. In the field of public service, the research of public service digital transformation is gradually favored by the theoretical and academic circles. Influenced by the inevitable trend of digitization of public services, the spillover effect of standardization, and the integration of digital information, it has become urgent to think about how to construct the mechanism of digital transformation and upgrading of public services. however, the digital transformation of public service has the constraints of supply mode, supply layout and supply diffusion, which makes the digital upgrading of service deeply hindered. this paper takes “service trial”, “service diffusion” and “service acceptance” as the analysis frame. focus on the digital transformation of high-quality public services, from the transport of digital service resources, distribution and quantitative control of facilities; top-down and bottom-up service diffusion paths; strengthen the effectiveness evaluation of digital services. in order to break the barriers of digital transformation and upgrading of public services, promote the connection between digital transformation and high-quality development of services, and help the in-depth advancement of chinese-style modernization.

Currently, financial sharing informatization has been widely used in large enterprise groups. Focused on the case of W Group Company, the necessity and feasibility of building a financial shared service center were analyzed, and the success factors and existing problems of its implementation path were further explored. The results show that financial sharing informatization can effectively promote the improvement of financial management efficiency, the reduction of operating costs, and the enhancement of risk control. Appropriate basic references and theoretical guidance are proposed to provide certain assistance for the construction of financial shared service centers in enterprise groups.

Fully leveraging the role of data elements is a powerful support for achieving high-quality economic and social development. Based on Information Ecology Theory, a data governance ecosystem was constructed from three dimensions such as information, information subjects and information environment. Using relevant index reports and statistical data from 2023, a fuzzy set qualitative comparative analysis method was used to analyze the combined path impact of seven conditional variables which were data resource level, government digital attention, citizen digital needs, citizen digital literacy, government financial level, digital infrastructure and digital innovation capability on the performance in data governance of provincial-level governments in China. The results show that, from a single perspective, digital infrastructure is a key factor affecting the performance of high-level data governance. Low levels of data resources, low digital literacy of citizens and low digital innovation capabilities are important factors leading to the performance of low-level data governance. From the perspective of configuration conditions, there are six paths to generating the performance of high-level data governance, which can be further classified into three types, such as total-factor development type, resource-led type and environment-driven type. It is necessary to explore adaptation paths among multiple important elements for Provincial governments based on their own development conditions.

Under the double constraints of resources and environment, improving green total factor productivity is crucial to realizing high-quality development. The Emissions Trading System has entered a deepening stage of development after decades of piloting in China, and it is of great significance to research the impact of the implementation of the Emissions Trading System on green total factor productivity. Taking the Emissions Trading System implemented in 2007 as a natural experiment, based on the panel data of 30 provinces(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) in China from 2004 to 2020, difference-in-difference method (DID) was employed to explore the impact and mechanism of the Emissions Trading System on GTFP. The results highlight that the Emissions Trading System significantly enhances regional GTFP. The impact mechanism test shows that the Emissions Trading System further enhances GTFP by promoting green innovation and industrial structure upgrading. Relevant government departments can use the research findings as policy insights to further maximize the role of the Emissions Trading System in promoting economy and green development.

Uusing data from the China Household Tracking Survey to match data with the County Digital Countryside Index (2018), the impact effect of digital countryside and its four sub-dimensions on the upgrading of rural households’ consumption structure was studied. Benchmark regression shows that the digital countryside facilitates the upgrading of rural households’ consumption structure, and mechanism research indicates that rural households’ non-farm income and residents’ digital skill level are important factors that promote the digital countryside to enhance the upgrading of consumption structure. Heterogeneity analysis shows that the impact of digital countryside on the upgrading of the consumption structure of different rural areas, different characteristics of households and different heads of households is different.