After the EU's Carbon Border Adjustment Mechanism (CBAM) entered the formal stage, the implicit emissions of products began to form the compliance costs at the import stage. This paper examines how this cost affects the destination selection of China's exports. The study calculates the industry costs based on the default path and uses annual panel estimation to estimate the changes in EU exports. In the first year of the formal period, the required clearance ratio is only 2.5%, and the cost is less than 1.5% of the export value to Europe. Under the benchmark setting, the export coefficient to Europe is -0.152, and to the third market is 0.127, with opposite signs. The adjustment term direction also points to market substitution caused by carbon costs. The current expenditure is difficult to explain this combination. The expected quota reduction and compliance preparations are more likely to be the main drivers. Therefore, the assessment of export adjustment must separate the scale compression effect of costs from the order reallocation effect. Research shows that whether or not reliable emission data can be provided is as important as market selection.

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The swift evolution of social media marketing has established platforms like Xiaohongshu and Douyin as pivotal conduits for disseminating product details and engaging with consumers. Concurrently, the inherent characteristics of blind box consumption—namely its unpredictability, entertainment appeal, collectibility, and emotional resonance—have garnered significant attention from young consumers in recent years. The convergence of the blind box economy with social media marketing strategies not only facilitates the transmission of fundamental product information but also ignites consumer curiosity. Factors such as heightened emotional engagement, elevated perceived value, and amplified social influence directly shape purchasing intentions. While existing literature predominantly focuses on individual determinants of blind box consumption or the broader landscape of social media marketing, there remains a notable scarcity of research addressing this topic. This study investigates the variations in how distinct categories of social media platforms impact consumer behavior regarding blind boxes, with a specific focus on comparing Xiaohongshu and Douyin. Grounded in the Stimulus-Organism-Response framework, the research employs a mixed-method approach comprising literature reviews, case studies, and textual analysis to examine blind box-related content on these two platforms. By synthesizing the observed disparities, this paper aims to deepen the understanding of the psychological mechanisms driving blind box purchases within the context of social media marketing. Furthermore, the findings are intended to offer strategic guidance for blind box brands, enabling them to develop differentiated content marketing strategies that align with the unique characteristics of each social media platform.

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With the advancement of digital and artificial intelligence technology, personalized pricing has gradually moved from theoretical price discrimination to large-scale practical application in market transactions. This study comprehensively explores the multi-dimensional impacts of widespread personalized pricing by integrating microeconomic and socioeconomic analytical frameworks. It analyzes the uncertain effects of this pricing model on corporate profits and economic welfare under different market structures, and further discusses consumers' differentiated attitudes, ethical dilemmas and regulatory challenges brought by personalized pricing. The research finds that the actual influence of personalized pricing depends on multiple core factors including market competitiveness, economic effect proportion, public fairness perception and institutional supervision conditions. This pricing model fails to bring absolutely positive economic and social benefits, and will reshape the balance between economic efficiency and social equity in digital markets.

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Digital technologies and artificial intelligence enable firms to adopt personalized pricing on an increasing scale. This paper examines the broad consequences if such pricing practices become commonplace, adopting a multi-angle framework covering microeconomics, macroeconomics, social relations and political outcomes. The analysis tracks how market structures may evolve from monopoly towards oligopoly, alongside strategic behavior between buyers and sellers within repeated market exchanges. The analysis confirms that personalized pricing may deliver short-run efficiency gains and higher firm returns at a microeconomic level. In the longer run, however, a wide range of adverse effects emerge: widening wealth gaps, strengthened barriers for new market entrants, weaker innovation incentives, declining consumer confidence and heightened risks of social tension. The paper argues that, without effective oversight, the social and economic burdens of unrestricted personalized pricing exceed its advantages. Targeted governmental oversight and rules governing algorithmic systems are therefore required to reconcile market efficiency with fair outcomes.

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