The boom of social media platforms, the popularization of mobile e-commerce and the shift in residents' daily consumption lifestyles have jointly driven comprehensive digital transformation within China's fresh tea beverage industry. Fierce competition fills this market, and digital marketing now acts as a decisive factor affecting brand recognition, consumer participation and long-term customer loyalty. This paper conducts a comparative marketing analysis of two well-known domestic tea brands, Chagee and Heytea, covering their brand building paths, social media promotion plans, influencer cooperation schemes and user-generated content operation modes. The research draws a clear strategic contrast: Chagee builds market competitiveness through cultural storytelling and high-end positioning, while Heytea centers its operation on hot topic marketing and accessible mass market positioning. By dissecting Chagee's complete consumer decision-making journey, this paper compares its competitive strengths and existing deficiencies against Heytea, and finally points out that balancing cultural brand shaping and broad public participation is the core condition for brands to achieve sustainable long-term development.

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This paper examines the failure of Russia's 1990s "shock therapy" reforms, which were grounded in neoclassical growth theory but produced catastrophic outcomes: a 40% GDP collapse, hyperinflation exceeding 1,000%, and persistent resource dependency. We argue that these failures stemmed not from implementation errors but from applying a framework beyond its boundaries. The Solow model assumes well-established market institutions and treats growth as driven by factor accumulation; yet Russia entered transition with weak property rights, no competitive traditions, and a lack of an independent legal system, which enabled oligarchic capture of private assets. To address this explanatory gap, we draw on Economic Complexity Theory, which emphasizes tacit knowledge networks and industrial ecosystem density as determinants of prosperity. Russia's manufacturing capabilities collapsed during structural transformation: supply chains disintegrated, engineering cultures eroded, and skilled labor emigrated or shifted to non-productive sectors. This capability destruction created structural inflation, driven by import dependence and supply shortages—that contractionary monetary policy could not resolve. The paper concludes that neoclassical growth theory should be complemented with frameworks accounting for institutional development and productive capability accumulation. The policy implication is that monetary policy cannot substitute industrial policy or institutional investment, and market liberalization alone is insufficient when the productive foundations for growth remain underdeveloped.

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Driven by global carbon neutrality policies and the investor-centric investment philosophy, ESG (Environment, Society, Governance) assessment has become a core component of modern enterprises' comprehensive risk management. This paper proposes two core research questions: The stabilizing and mitigating effect of ESG on enterprises' financial risks, as well as the obstacles that hinder the effective operation of their risk management, is worthy of exploration. This paper adopts qualitative literature research and case analysis methods, combining recent empirical data and the Tesla ESG controversy case, to explore the risk impacts of ESG across multiple dimensions. This study provides practical references for investors to conduct rational ESG valuation, helps enterprises optimize their ESG layout, and proposes feasible suggestions for establishing unified global ESG assessment rules to enhance the applicability of ESG in the long-term risk prevention and control of enterprises.

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The inauguration of island-wide independent customs operations in the Hainan Free Trade Port at the end of 2025 has substantially reconfigured the dynamics of cross-border capital movements. This study provides a quantitative analysis of capital flow efficiency in Hainan during the post-customs closure era, aiming to identify the principal driving factors and simulate the consequences of policy adjustments. Employing a Geometric Brownian Motion (GBM) framework parameterised with quarterly data spanning 2018 to 2026, the research integrates a policy-augmented drift function to capture the influence of regulatory variables. Model evaluation metrics—R² of 0.85, MSE of 0.02, and MAPE of 8.3%—confirm satisfactory predictive performance. The empirical results indicate that Electronic Fence account transaction volume, tax incentive intensity, and the negative list length are the most influential drivers, each exhibiting pronounced nonlinear effects. Policy simulations reveal that moderate tax incentives, a 25% reduction in the negative list, and increased RMB settlement share individually enhance efficiency by 11.2%, 6.8%, and 5.4%, respectively, while a combined scenario yields a 10.7% improvement. The findings further uncover interaction effects, wherein financial infrastructure and tax incentives reinforce one another, whereas capital account restrictions partially offset efficiency gains. Based on these insights, the study proposes optimising tax structures, liberalising capital account restrictions, strengthening RMB settlement infrastructure, and enhancing risk monitoring mechanisms. The research offers data-driven guidance for free trade port policymaking and extends the application of stochastic modelling to regional financial evaluation.

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