Volume 18 Issue 5

In the post-pandemic era, the street vendor economy has emerged as a vital means of alleviating employment pressure and stimulating market vitality, necessitating a scientific evaluation and optimization of its public governance policies. This study employs the PMC (Policy Modeling Consistency) Index Model to conduct a quantitative analysis of nine street vendor-related policies issued by national and local governments between 2020 and 2022. By integrating text mining and social network mapping methods, the paper constructs an evaluation system comprising ten primary variables and forty-two secondary variables. Based on the distribution of high-frequency terms, socio-semantic network diagrams, PMC index scores, and PMC surface plots, the study finds that the overall design of the street vendor policies is generally sound (with an average PMC index score of 7.28, and six policies rated as excellent). However, structural shortcomings persist, including short policy durations (78% are short-term), insufficient cross-departmental coordination (78% were issued by a single department), and incomplete coverage of target beneficiaries (some policies fail to focus on core groups). Local policies outperform national ones in areas such as incentive mechanisms and content innovation, reflecting greater governance flexibility. Accordingly, the study recommends policy optimization from three perspectives: top-level design (formulating medium- to long-term plans and optimizing policy tool portfolios), implementation mechanisms (providing categorized support and dynamic monitoring), and collaborative governance (enhancing interdepartmental coordination and promoting social participation), with the aim of promoting the normalization and sustainable development of the street vendor economy.

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With the deepening of globalization and digital economy, cross-border e-commerce has become an important pillar of international trade, but its supply chain faces many challenges such as logistics fluctuation, policy uncertainty and demand fluctuation. This paper aims to construct a supply chain resilience evaluation system for cross-border e-commerce enterprises and propose an effective enhancement path. Through a combination of literature review and case study analysis, the article constructs a resilience evaluation framework from four dimensions and verifies the validity of the indicators by combining the operational data of cross-border e-commerce head enterprises. The study finds that multi-sourcing supply network, digital technology empowerment and policy compliance synergy are the core paths to enhance supply chain resilience; digitalization and localization strategies can significantly enhance supply chain risk resistance, and proactive compliance rules can help transform policy risks into competitive advantages. This study provides theoretical support and practical guidance for cross-border e-commerce enterprises to cope with global market uncertainty.

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High-Speed Rail (HSR), characterized by train speeds exceeding 200 kilometers per hour, has emerged as a transformative mode of transportation, offering efficient intercity and long-distance travel. In recent years, China has developed the world's most extensive HSR network, raising important questions about its broader economic implications. This study investigates the impact of HSR construction and operation on regional economic development in China, with a particular focus on urban and peri-urban areas. Using qualitative case analysis, three representative railway lines—the Han–Yi Railway, Yi–Wan Railway, and Beijing–Zhangjiakou High-speed Railway—are examined to explore how HSR influences local economies, connectivity, and industrial transformation. The findings suggest that HSR significantly enhances regional integration, improves accessibility in underdeveloped areas, and contributes to the emergence of new economic dynamics, thereby playing a strategic role in shaping China's spatial and economic landscape.

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This study analyzes how TikTok has achieved explosive growth in Monthly Active Users (MAUs) in the North American market, aiming to uncover the core mechanisms and strategies behind its user acquisition and retention. Through a comprehensive review of literature, case studies, and competitor comparisons, this paper summarizes TikTok’s strengths across multiple dimensions, including recommendation algorithms, product design, content ecosystem, marketing approaches, and localized operations. It elucidates the paths by which TikTok has achieved differentiated breakthroughs amid intense competition in the social media landscape. The findings reveal that TikTok maximizes content distribution efficiency through its “interest-driven + algorithm-based recommendation” mechanism, while also building a vibrant and diverse creator community via incentive structures. Furthermore, its “global platform + local operations” strategy demonstrates strong cultural adaptability. Despite challenges such as policy regulation, data privacy concerns, and geopolitical tensions, TikTok continues to show robust user appeal and growth resilience. The conclusions of this paper offer valuable insights for social media platforms seeking to develop growth strategies and expand internationally, while also contributing both theoretical and empirical foundations to the understanding of emerging short video platforms’ evolutionary mechanisms.

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