This article provides a review of the spatial effects of real estate investment on regional innovation, summarizes relevant theoretical foundations, analyzes the mechanism of spatial effects, introduces empirical research methods and cases, and summarizes research conclusions and prospects for future research directions, aiming to provide systematic references for in-depth research in this field.

The traditional Chinese medicine (TCM) culture in Sichuan has a long-standing history and is a treasure of traditional Chinese culture. It holds unique value in aspects such as health preservation, disease prevention and treatment. Meanwhile, the development of the regional economy has presented new demands for the exploration and utilization of Sichuan’s TCM cultural resources. This paper explores the paths for the coordinated development of Sichuan’s TCM culture and the regional economy, analyzes the current situation and challenges in their coordinated development, and puts forward strategies to promote such coordinated development from multiple dimensions including industrial integration, talent cultivation, and brand building. The intention is to drive the high-quality development of the regional economy by leveraging the advantages of Sichuan’s TCM culture, and at the same time, with the support of the regional economy, achieve the inheritance and innovation of Sichuan’s TCM culture.

Corporate governance has evolved significantly, transitioning from the traditional “shareholder primacy” theory to a broader framework that incorporates social responsibility, ultimately leading to the development of ESG (Environmental, Social, Governance) theory. This evolution reflects a growing recognition of the need for businesses to address environmental and social challenges alongside financial performance. China has gradually established an ESG disclosure framework. However, challenges remain, including the narrow scope of disclosure, inconsistent standards and limited enforcement. A comparative analysis of ESG policies in jurisdictions such as the UK and the USA reveals valuable insights. Building on these findings, recommendations for China include establishing a unified ESG disclosure framework, strengthening enforcement mechanisms, and integrating localized indicators to address specific national priorities. These steps can enhance the effectiveness of China’s ESG policies, aligning them with global standards while fostering sustainable development.

This study analyzes the green innovation efficiency of the whole country and its provinces using data from 2003 to 2021 and 2016 to 2021, employing the Malmquist Index. The research finds that the overall green innovation efficiency in China has steadily improved, with a significant role played by green technological innovation. Some provinces, such as Sichuan, have maintained stability, but most provinces show a declining trend, indicating the need for technological improvements.

With the rapid development of social e-commerce, the amateur anchor product promotion model has emerged as a novel e-commerce format demonstrating significant market potential. Taking the platform Douyin as an example, amateur anchors facilitate traffic conversion between online and offline channels for merchants while creating entrepreneurial opportunities for themselves through group buying marketing. However, amateur anchors face challenges such as insufficient content creation capabilities, low product compatibility, and unclear commercialization pathways. This paper analyzes the amateur anchor product promotion model and proposes optimization strategies. Through these measures, amateur anchors can enhance their promotional effectiveness and promote the sustainable development of this model.

Systemic financial risk is one of the major challenges facing the modern financial system. In view of the interconnectedness of systemic financial risks, a comprehensive analytical framework is constructed to predict and mitigate financial crises. Through time series analysis, machine learning and integrated models, key indicators of financial markets and macroeconomics can be predicted more accurately. A number of policy recommendations and risk management measures were put forward, including strengthening regulatory policies, developing contingency plans and business continuity plans, to enhance the stability and resilience of the financial system. These measures will help reduce the impact of systemic financial risks and improve the overall health of financial markets. Based on this, this paper studies the correlation of systemic financial risks: an analytical framework for predicting and mitigating crises for reference.

The purpose of this study was to investigate the impact of DRG (diagnosis-related group) and consumables reform on hospitalization costs. As a new payment method, DRG promotes the effective allocation of resources and reduces unnecessary expenses by classifying the disease types of patients and reasonably determining the cost of medical services. At the same time, the zero-margin reform of consumables aims to eliminate the price difference in the procurement and use process of medical consumables, and further reduce the economic burden of patients. In this study, taking a grade A ophthalmic hospital in Zhejiang Province as an example, the hospitalization expenses before and after the implementation of DRG and consumables zero margin policy were analyzed, and found that after the implementation of the reform, the hospitalization cost was significantly reduced, the economic burden of patients was reduced, and the resource allocation efficiency of the hospital was improved. Finally, this paper suggests that when promoting DRG and consumables zero-margin reform, hospitals should strengthen the management and monitoring of medical services to ensure that the quality of medical services is not affected, while achieving reasonable control of costs.

In order to explore the impact path of financial technology on aggressive investment decisions of enterprises, this article analyzes it from multiple aspects. By elaborating on the impact of financial technology on aggressive investment decisions of enterprises in improving information transparency, expanding financing channels, providing intelligent decision-making support, and precise risk management and control, it is found that financial technology affects the investment decision-making process of enterprises from multiple dimensions. Furthermore, solutions such as strengthening the integration of technology and investment decision-making, optimizing information acquisition and analysis mechanisms, improving fund management and risk control systems, enhancing decision-making transparency and standardization are proposed, aiming to provide reference for enterprises to make rational and aggressive investment decisions in the context of financial technology.

According to the characteristics and existing problems of supply chain finance, this study carried out an in-depth analysis, and put forward a series of optimization countermeasures. The study found that supply chain finance has the characteristics of cross-industry, dynamic and complex, but there are problems such as asymmetric information, single financing channels and imperfect risk control system. In order to solve these problems, this study puts forward countermeasures such as improving the information disclosure mechanism, expanding diversified financing channels and building a comprehensive risk management system. Through these measures, the aim is to improve the service efficiency of supply chain finance, reduce risks, and promote the healthy development of supply chain finance.

This paper primarily explores the relationship between brand image and consumer loyalty, analyzing the factors that contribute to the formation of brand image and the varying effects of brand image dimensions on loyalty. Through an extensive study of consumer cognition, brand image, and loyalty, the paper proposes a positive influence mechanism of brand image on loyalty and further quantifies this relationship through a formula model. Through empirical research and case studies, this paper validates the close connection between brand image and loyalty, particularly highlighting the role of brand awareness, perceived quality, and emotional connection in enhancing loyalty. The research findings suggest that effective brand image construction can significantly improve consumer loyalty, thereby providing strong support for a company’s market competitiveness.

With the rapid development of information technology, enterprise legal affairs management has gradually entered the data-driven intelligent era. This article explores the progress of legal data mining and analysis technology, with a focus on its application in contract management, litigation analysis, and compliance monitoring. Through data preprocessing, mining algorithms, and models, enterprises can enhance the accuracy of legal risk prediction, optimize decision support, and strengthen compliance supervision. Challenges such as data quality, privacy protection, algorithm accuracy, and interpretability still need to be addressed. The article also looks forward to the future development and technological innovation of legal data mining, providing references and guidance for intelligent legal affairs management.

Under the background of new quality productivity, enterprises are faced with new development opportunities and challenges. As the key link of enterprises to enhance their competitiveness and management efficiency, financial management information construction has attracted wide attention. This paper analyzes the connotation of new quality productivity and its innovation significance of enterprise financial management information construction, a comprehensive discussion of the problems existing in the current enterprise financial management information construction, and put forward a series of feasible construction measures, aims to help enterprises in the new quality productivity, by strengthening the financial management information construction, realize the sustainable development.

As an important financing method, stock pledge financing has played a significant role in the capital market in recent years. However, with changes in the market environment, risks in the stock pledge market have become increasingly prominent, particularly in terms of stock price volatility, liquidity risks, and credit default risks. This study analyzes the major risk factors in the stock pledge market and explores potential risk prevention measures based on domestic and international market cases. The article proposes optimization strategies, including improving pledge rate settings, strengthening market supervision, and enhancing risk control mechanisms, to improve market stability and security, providing valuable references for investors and regulatory authorities.

This article attempts to study the function of the digital economy in influencing the structure of employment and discuss countermeasure responses that are feasible. Through literature review, theoretical examination and the theory of the digital economy, an analytic framework is built to examine how the digital economy reorganizes the labor market, produces emerging industries and occupations, and promotes remote jobs and flexible reallocation of labor. The study finds that the digital economy has encouraged the diversification of the labor market, caused a huge demand for top talent, and accelerated the upgrading and transformation of traditional industries. It has also accelerated the popularization of flexible employment and telecommuting patterns. In order to overcome the challenges of the digital economy, optimizing the education and training system, enhancing policy support and security measures, promoting business adaptation, and talent attraction are recommended, giving policymakers, enterprises, and citizens practical references.

With the rapid development of big data technology, the pet supplies industry has begun to leverage big data analytics to understand consumer behavior patterns, thereby enhancing market competitiveness. This study first summarizes the characteristics of consumer behavior in the pet supplies industry, then explores the obstacles encountered in the analysis of consumer behavior patterns driven by big data. Finally, it proposes corresponding strategies, including the establishment of a multi-channel data collection system and the advancement of data quality improvement measures, enhancements in data privacy protection and compliance management efficiency, the use of artificial intelligence and machine learning technologies to optimize data analysis methods, the implementation of precise marketing and customized service initiatives based on niche markets, and in-depth exploration of changes in consumer psychological attitudes and emotions, integrating behavioral analysis models.