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2024 Cross border E-commerce Competitiveness Research Report - Country Dimension - World Internet Conference

The 2024 Cross border E-commerce Competitiveness Research Report (Country Dimension) was released by the World Internet Conference in November 2024, aiming to help countries create a favorable business environment and promote the development of cross-border e-commerce. The report analyzed 55 sample countries through research on each country

2024 Cross border E-commerce Competitiveness Research Report - Country Dimension - World Internet Conference

The "2024 Cross-border E-commerce Competitiveness Research Report (Country Dimension)" was released by the World Internet Conference in November 2024, aiming to help countries create a favorable business environment and promote the development of cross-border e-commerce. Through research on 55 sample countries, the report analyzes the competitiveness of cross-border e-commerce in various countries, including business environment, industrial competitiveness, and draws relevant conclusions and recommendations.

1. Core Conclusions

- Legal and Regulatory Framework: A sound and predictable legal and regulatory framework is crucial for the development of cross-border e-commerce. For example, China issued a "positive list" to promote cross-border e-commerce retail imports, and most sample countries actively participate in the formulation of international rules to improve their domestic legal and regulatory systems.

- Customs Clearance Costs and Facilitation: Lower customs clearance costs can reduce entry barriers for cross-border e-commerce. Countries and regions such as Singapore, the United States, and the European Union have relatively low customs clearance costs. Meanwhile, cross-border trade facilitation measures can improve development efficiency, and most sample countries have established a legal and regulatory system for an international trade "single window."

- Digital Infrastructure and Logistics System: Digital infrastructure drives industrial upgrading. For example, China has a leading mobile payment ecosystem and large-scale commercial deployment of mobile internet technology. Modern logistics systems support enterprises to integrate into global trade, and countries such as Germany and Japan have relatively advanced logistics systems.

- National Digital Literacy and Enterprise Capacity Building: National digital literacy is an important factor, and consumers with high digital literacy promote the development of cross-border e-commerce. Enterprise capacity building helps enhance industrial vitality, such as China establishing comprehensive pilot zones for cross-border e-commerce and Germany implementing digitalization programs for SMEs.

2. Research System

- Definition of Cross-border E-commerce Competitiveness: Deconstructed from two dimensions—business environment and industrial competitiveness. Business environment includes policy and law, participation in international rules, customs clearance costs, public services, etc.; industrial competitiveness covers industrial foundation, trade market, production factors, and other aspects.

- Country Selection and Analysis: 55 sample countries were selected, taking into account industrial scale, characteristics, representativeness, region, and economic development status.

- Indicator System and Framework: An indicator system was constructed to measure cross-border e-commerce competitiveness, including business environment indicators (such as policy and regulation, transaction efficiency, etc.) and industrial competitiveness indicators (such as digital economy, trade market, etc.).

3. Results Analysis

- Analysis by Indicator Dimension

- Business Environment Indicators: Developed countries have relatively sound policy and regulatory systems and actively participate in international rules. Emerging market countries also perform well in cross-border e-commerce policies and legal regulations. There are significant differences among countries in cross-border transaction efficiency and facilitation; developed countries have high customs clearance efficiency and low costs, while emerging market countries perform better in public services.

- Industrial Competitiveness Indicators: Countries with large economies and strong industrial foundations perform outstandingly in industrial foundation competitiveness. Advantageous countries have high-income consumer groups and favorable geographic locations in trade market competitiveness. Large economies tend to show strong competitiveness in production factors.

- Analysis of Typical Countries: For example, Canada has low customs clearance costs and obvious advantages in logistics networks; China performs outstandingly in policy and regulation, industrial foundation, and other aspects; Germany and EU countries jointly optimize the business environment and have competitive advantages in consumer markets and production factors.

- Analysis by Regional Dimension: Countries with strong cross-border e-commerce competitiveness are mainly concentrated in Asia, Europe, and North America. Asian and Oceania countries perform well in participation in international rules; European countries have unified and complete legal and regulatory systems; North American countries show complementary advantages.

- Analysis by Income Dimension: Per capita GDP is highly positively correlated with cross-border e-commerce competitiveness. High-income countries have a generally high level of development, while middle- and low-income countries have a large gap with high-income countries in policy and law, efficiency and facilitation, and trade market competitiveness. However, some middle- and low-income countries also have their own advantages in cross-border e-commerce development, such as China taking the lead in policy and regulation, Mexico having strong policy and legal and production factor competitiveness, and Malaysia having advantages in efficiency and facilitation.

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AI-ready brief

Short answer for decision makers

This TikTok business signal should be used as a planning prompt, not a standalone trend. The practical question is whether your brand has the market readiness, creator supply, Shop conversion path, paid-media structure, and reporting cadence to act on it now.

Key facts

  • Market signal: TikTok Market Research Analysis Report
  • Published: December 2, 2024
  • Source transparency: the original source linked in this article

Tuke recommendation

Choose one market, one product group, one creator cohort, and one KPI for the next operating cycle. Then align creative testing, TikTok Shop optimization, live commerce readiness, and weekly reporting around that single decision.

What should brands do with this TikTok signal?

Brands should translate the signal into a focused operating test across creative, creators, TikTok Shop readiness, paid media, and reporting before increasing budget.

How does Tuke Marketing evaluate this kind of news?

Tuke Marketing reviews platform news through market timing, category demand, creator supply, commerce readiness, and measurable growth actions.

When should a team contact Tuke about this topic?

A team should contact Tuke when it needs to turn a TikTok market signal into a practical launch, creator, advertising, live commerce, or reporting plan.

Source transparency: Tuke cites the original source linked in this article and adds its own operating analysis for brands evaluating TikTok growth decisions.

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Glossary context

Key TikTok terms behind this story.

TikTok live commerce TikTok Live Commerce TikTok live commerce combines live video, host selling, product demonstrations, offers, comments, and TikTok Shop checkout into a real-time sales workflow. TikTok market entry TikTok Market Entry TikTok market entry is the process of deciding where and how a brand should launch TikTok content, ads, creators, TikTok Shop, and live commerce in a new country. TikTok Shop GMV TikTok Shop GMV TikTok Shop GMV is the gross merchandise value generated through TikTok Shop orders before cancellations, refunds, fees, and margin adjustments. TikTok Ads ROAS TikTok Ads ROAS TikTok Ads ROAS compares attributed revenue with advertising spend, helping teams evaluate whether paid media is creating efficient commerce outcomes.