Estimating digital product trade through corporate revenue data

Area of Science:

• Economics
• International Trade
• Digital Economy

Background:

• Global trade statistics harmonization efforts have limitations in capturing digital trade dynamics.
• Understanding the scale and impact of digital trade is crucial for economic policy.
• Existing data struggles to account for digitally ordered and delivered goods and services.

Purpose of the Study:

• To develop a novel method for estimating bilateral digital trade flows.
• To quantify trade in digital goods, productized services, and intermediation fees.
• To analyze the characteristics and economic implications of digital product trade.

Main Methods:

• Utilizing corporate revenue data from large digital firms to estimate bilateral exports and imports.
• Categorizing trade into digital goods, productized services, and digital intermediation fees.
• Analyzing trade patterns, growth rates, and economic impacts of digital products.

Main Results:

• Digital product exports are more spatially concentrated and grow faster than physical goods trade.
• Digital exports can significantly alter trade balance calculations, potentially offsetting deficits.
• Countries with decoupled economic growth and emissions show higher digital exports.
• Digital exports positively correlate with increased economic complexity.

Conclusions:

• The developed method provides a robust framework for understanding digital trade.
• Digital trade represents a significant and growing component of the global economy.
• Policies should consider the unique characteristics and impacts of digital products in international trade.