One of the main problems of the digital economy in recent years is how to achieve the combined development of digitalisation and green transformation in enterprises. Based on the data of Chinese A-share listed companies, this paper will systematically study the impact, transmission mechanism and heterogeneity of urban computing infrastructure on enterprise integration in digital and green development over time using a time-fixed-effects model. Based on the above results, it can be concluded that the urban computing infrastructure has a positive effect on enterprises' integration of digital and green development, and this effect is robust to all kinds of sensitivity tests, such as adding control variables, changing the sample period, modifying standard errors, lagging explanatory variables and including industry fixed effects. Based on the analysis of the mechanism, the computing infrastructure will reduce financing constraints, promote the integration of industry and increase real-economy industrial upgrading and enterprise innovation. Based on the test of heterogeneity, the positive effect is relatively strong for non-state-owned enterprises and in non-competitive industries. This paper provides empirical evidence on the use of computing infrastructure for digital-green development in enterprises and offers policy recommendations to help the government tackle the problem of carbon emissions from infrastructure construction by means of differentiated policies.

Amid growing international efforts to address climate change and China's commitment to its carbon peak and carbon neutrality targets, transforming the tourism sector toward low-carbon practices is now critical to advancing sustainable and high-quality economic growth. As a new engine of structural transformation, the digital economy may help address the carbon-intensive growth of the tourism sector, yet its effects and underlying mechanisms remain unclear. This study examines the impact of China's digital economy on urban tourism carbon emissions using panel data from 282 prefecture-level cities from 2005 to 2023. Results show that the digital economy significantly reduces total tourism carbon emissions but initially increases carbon emission intensity. The relationship between the digital economy and tourism-related carbon emissions follows a nonlinear inverted U-curve pattern. Mechanism analysis reveals three pathways: (1) energy-efficiency improvement through technological innovation, (2) rebound effects driven by market expansion, and (3) structural upgrading through industrial integration. The overall effect therefore depends on the evolving balance between efficiency gains and scale expansion. Regional heterogeneity is also evident: the emission-reduction effect is strongest in eastern China, weaker in central China, and turns positive in western China in the short term. These findings provide empirical evidence for understanding the environmental consequences of digital transformation in tourism and offer policy implications for designing region-specific digital and low-carbon transition strategies.

With China's outward foreign direct investment (OFDI) growing rapidly and the Association of Southeast Asian Nations (ASEAN) now standing as its largest trading partner, this study investigates how Chinese direct investment in ASEAN shapes bilateral trade scale and structure. Drawing on a panel covering China and the ten ASEAN members over 2012-2023, we estimate a two-way fixed effects model, taking the share of technology-intensive products in total exports as the outcome variable. The baseline estimates point to a significantly positive effect, which survives winsorization, alternative clustering of standard errors, and the Hausman test. Heterogeneity results further show that this upgrading effect is stronger for non-bordering countries than for bordering ones, and stronger for the remaining six members than for the four major recipients, suggesting a base effect behind the structural impact of direct investment.

With the deepening of moderate population aging in China, the scale of urban empty‑nest elderly and elderly groups with chronic diseases keeps expanding. Traditional family‑based elderly care can hardly satisfy both medical treatment and long‑term care demands, so integrated medical and elderly care has become a vital approach to alleviate the supply‑demand contradiction in elderly care. Based on the Andersen Model, this study collects 197 valid questionnaires of urban elderly residents via the Credamo platform from December 2025 to March 2026. Variables are selected from predisposing, enabling and need factors. Chi‑square test and binary Logistic regression are adopted for empirical analysis. The results reveal that awareness of integrated medical‑elderly care, social support, service accessibility, reimbursement convenience, family chronic‑disease conditions and self‑care capacity exert significant positive effects on the willingness for integrated medical‑elderly care. Accordingly, this paper proposes suggestions including strengthening health education for the elderly, optimizing service spatial layout and medical insurance reimbursement procedures, and delivering targeted support for multimorbid and disabled elderly people, so as to promote the high‑quality development of urban integrated medical and elderly care services.

Over the past decade, China's new‑style tea beverage industry has grown rapidly amid fierce market competition. While high‑end tea brands target consumers in large cities, mid‑ and low‑cost brands compete for mass‑market customers. As a representative mass‑market chain, Mixue Bingcheng, the largest tea brand in China, has achieved large‑scale domestic and overseas expansion. This paper adopts literature review and case‑study methods, applies the 4P marketing theory, and analyses how Mixue Bingcheng responds to major industry trends through its marketing practices. The study finds that brand success relies on accurate identification of market trends and matched marketing strategies, rather than blind imitation of online marketing hotspots. Clear mass‑market positioning, integrated supply‑chain systems, and IP marketing are its core competitive advantages. Nevertheless, the brand still faces risks including franchise supervision challenges and product homogenization. This research provides practical references for catering chain enterprises and supplements case resources for mass‑market beverage‑chain research.

FinTech refers to the new business model, application, process and product formed after digital technology enters the financial services sector. This article distinguishes between the external shock caused by the entry of FinTech enterprises into traditional financial markets and the internal transformation carried out by commercial banks through the application of digital technology. It examines the impact of FinTech on the operations of commercial banks from three aspects: profitability, risk-taking and business structure, and analyzes three transmission mechanisms: information asymmetry, market competition and liquidity creation. The research shows that the external development of FinTech will divert bank deposits, payment services and credit customers, putting pressure on traditional income; after banks apply digital technology to customer identification, credit approval and internal operations, they can reduce information processing costs and expand service scope. FinTech helps to reduce the credit risk of individual banks, while deposit competition, profit constraints, model convergence and enhanced inter-bank connections may increase risk-taking or expand systemic risks. These impacts vary with bank size, property rights and business model, as well as the level of digital infrastructure and technology application in the region. Regulatory authorities need to implement classified supervision based on the source of technology, bank type and risk level, while commercial banks should choose a transformation path that is compatible with their customer base and technical capabilities.

Although sporting events are widely studied, sub-national multi-sport events remain largely neglected in the literature. To address this gap, this study uses a staggered difference-in-differences (DID) design based on an unbalanced panel of approximately 280 prefecture-level cities from 2003 to 2020, to estimate the economic impact of China's provincial games on host cities, supplemented by stacked DID and event-study analyses. Results indicate that hosting provincial games raises fixed-asset investment by roughly 8-10%, social retail sales by about 4.5%, and gross domestic product (GDP) per capita by approximately 4%. These effects are mostly seen in the first two to three years after the event, and no statistically significant effects are found for GDP growth, industrial structure, local fiscal revenue, or employment. Findings suggest that the stimulus mainly works through the infrastructure-investment channel and is stronger in eastern and central regions, in small and medium-sized cities, as well as resource-based cities. Overall, provincial games mostly serve as a short-term demand injection and investment catalyst rather than an engine of sustained growth.

Cashless payments are commonly evaluated in terms of speed, convenience and technical risk, but these criteria do not explain why the public regards some financial institutions as credible and others as untrustworthy. This paper argues that cashlessness does not eliminate trust; it transfers trust from a tangible instrument and bilateral exchange to banks, payment platforms, clearing systems and regulators. To analyse that transfer, the paper defines trust costs as the verification, monitoring, privacy, redress and switching or exclusion burdens that users bear when relying on institutions they cannot fully observe. It then proposes a Public Financial Credibility Framework with six dimensions: operational reliability, integrity and accountability, transparency and data stewardship, fairness and inclusion, redress and contestability, and resilience and public backstops. The framework is applied to loyalty points, algorithmic credit and buy now pay later, financial exclusion, central bank digital currency and payment failures. Existing theory, official data and regulatory evidence provide preliminary theoretical and content validity. However, the framework is presented as a testable research programme rather than an empirically validated index. Future validation should combine survey measures, behavioural outcomes and event studies of outages, data breaches and redress decisions.

With the quick growth of social media, influencer-owned DTC brands have emerged as a new business form, which differs from the traditional influencer who endorses third-party brands. Taking MrBeast's Feastables Chocolate as a single case, based on Source Credibility Theory and Parasocial Interaction Theory, and relying on multiple public secondary data sources, including the official Feastables website, open‑access YouTube videos and social‑media public metrics, industry analysis reports, and mainstream news‑media coverage, to explore the brand promotion mechanism, performance, benefit, and potential risks of influencer-owned DTC brands. The results show that influencers' credibility and parasocial emotional role can help brands achieve remarkable cold‑start brand awareness in beginner. However, this IP transfer also faces a lot of risks, such as influencer reputation, which means some negative events involving an influencer will directly affect the brand's reputation, over‑reliance on personal IP, and so on, and thus lead to the brand being unable to transform or extend.