This study systematically summarizes the digital economy's impact on corporate innovation based on four influencing mechanisms, namely enterprise digitalization levels, research and development (R&D) efficiency, R&D cooperation, and human capital. It empirically analyzes this impact from the perspectives of effects, mechanisms, and heterogeneity by matching the Chinese provincial-level digital economy evaluation index with the A-share listed companies' patent data. The results show that if the digital economy-level increases by 1% in a province, enterprises' number of invention patent applications will increase by about 3.70 on average. Additionally, its development has significantly improved the digitalization level of enterprises and promoted their R&D efficiency, which in turn fosters enterprise innovation. Finally, the digital economy's impact on enterprise innovation exhibits heterogeneity, showing a more significant innovation effect on low marketization, high industry technology intensity, and private enterprises. Overall, the findings have important theoretical and policy implications for understanding how the digital economy is deeply integrated into the real economy, thereby promoting enterprise innovation.

To systematically study how trendy toy brands trigger and promote consumers' impulsive purchasing behavior, this research takes the phenomenal IP—LABUBU as a case, adopts a cross-platform and multi-source qualitative data collection method, and deeply analyzes consumers' psychological motivations and behavioral performances under multiple dimensions such as emotion, social interaction, and collection. By sorting out user comments, graphic sharing, and media reports on platforms including Xiaohongshu, Zhihu, Douyin, Weibo, and news websites, combined with existing literature theories, this study constructs a comprehensive analytical framework. The research finds that the influencing mechanisms of impulsive consumption induced by trendy toy brands can be mainly summarized into three categories: Design Preference and Emotional Value; Playability and Social Attributes; Collectibility and Global Popularity. Each category of mechanism is supported by specific cases and real consumer feedback. This study not only theoretically reveals the formation path of irrational decision-making in trendy toy consumption behavior and makes up for the lack of empirical research in this field, but also practically provides consumers with reference dimensions to identify and reflect on their own impulsive consumption tendencies, and offers enlightenment for brand owners' marketing strategies and market management. Future research can further extend to the perspectives of corporate marketing strategies and regulatory policies to form a more comprehensive understanding.

In the context of the digital economy, digital new-quality productivity is reshaping the high-quality development of the logistics industry, while logistics provides key application scenarios and endogenous momentum for its cultivation. This study explores the coupling coordination mechanism and evolutionary characteristics between the two systems in the Beijing–Tianjin–Hebei region. Using regional data from 2016 to 2023, a comprehensive evaluation system is constructed, and a coupling coordination model combined with grey relational analysis is applied to examine inter-system relationships and driving factors. The results show that both digital new-quality productivity and logistics quality exhibit steady upward trends. The coupling coordination degree evolves from a fluctuating adjustment stage to recovery and then toward stable optimization, with clear regional heterogeneity. Technological innovation and infrastructure development are identified as core drivers, while urbanization, openness, and government support play important supporting roles. This study not only empirically clarifies the synergistic evolution mechanism between digital new-quality productivity and high-quality logistics development, but also provides references for optimizing regional collaborative paths and formulating differentiated policies.

In the context of the digital economy and the rapid restructuring of financial business models driven by new productive forces, implementing digital transformation strategies has become a critical measure for commercial banks to enhance service efficiency and adjust credit systems. This study uses longitudinal data of Chinese commercial banks from 2011 to 2023 and employs text analysis methods for empirical research. By constructing an evaluation system for the degree of bank digitalization based on text mining techniques, the study explores the mechanisms through which digital transformation influences the development of consumer credit. Furthermore, a comprehensive consumer finance evaluation index is developed using the information entropy method, providing a quantitative tool to assess both the progress of bank digitalization and the development of consumer credit. The findings indicate that the digitalization of banks significantly promotes the growth of consumer credit, primarily by improving bank profitability, expanding credit issuance, and strengthening risk management effectiveness. The study also finds that these effects vary across regions with different levels of economic development and among different types of banking institutions. Robustness tests and instrumental variable methods confirm the reliability of these conclusions. This research not only clarifies the internal mechanisms through which bank digital transformation affects consumer credit from a micro-level perspective but also provides empirical support for commercial banks in formulating transformation strategies and enhancing consumer finance services.

This research explored the factors that determine housing prices and their regional differences in Beijing's second-hand housing market using complete transaction data from 2024 covering all 16 administrative areas, adopted the Hedonic Price Model and carried out separate Ordinary Least Squares (OLS) regressions for different sub-markets, the results showed a clear two-part difference in how prices were formed which was described as being "resource-driven" compared to "residence-driven", in central urban areas, housing prices were mainly influenced by proximity to top-quality public resources and there was a large price increase for apartments having three or more bedrooms, on the other hand, in suburban zones, market evaluations concentrated more on fundamental living features showing a definite preference for south-facing directions and medium to large sized units, moreover, the additional impacts of important structural elements varied significantly among these regions, the discoveries offered strong empirical proof to back location-specific regulatory measures for the existing housing supply in mega-cities such as Beijing and also provided useful information for market players including house buyers, builders and policymakers enabling them to make better-informed decisions in line with the main value influences in each market section.

With the gradual deterioration of global environmental problems, green finance has gradually become an important means to promote sustainable economic development. This paper aims to explore the impact of green finance on regional economic development, and analyze how it promotes the green transformation and upgrading of regional economy through such approaches as optimization of capital allocation, policy guidance and support. Through literature review and comparative study, it is found that green finance can not only guide capital to flow into the environmental protection industry and promote the R&D and application of green technologies, but also optimize the regional industrial structure, improve resource utilization efficiency and reduce environmental pollution. However, the development of green finance still faces many challenges, such as policy matching and information disclosure. To give full play to the role of green finance in regional economic development, it is necessary to strengthen policy guidance, improve the legal system, enhance international cooperation, and raise the awareness and capability of financial institutions in green investment. This paper provides a comprehensive overview of how green finance affects regional economic development, discusses the regional differences in the relationship between green finance and regional economic development through comparative analysis of data from four regions, and offers valuable insights for policymakers and financial institutions through in-depth research on this topic, so as to promote more sustainable economic development.