Problem
Research questions and friction points this paper is trying to address.
AI-enabling goods
economic complexity
productive capabilities
specialization
diversification
Mapping AI Economic Complexity
🤖 AI Summary
该研究通过分析2007-2023年的出口数据，使用经济复杂性框架评估各国在AI相关商品上的生产能力及多样化潜力。
📝 Abstract
Green economic complexity provides a generalizable framework for examining countries' productive capabilities in a defined product set. We apply this framework to AI-enabling goods within the full product space, linking current specialization with adjacent diversification opportunities. Using BACI exports for 2007-2023 and 103 AI-enabling goods, we measure complexity-weighted specialization (AECI), product-level adjacent opportunities (AIAP), and average complexity-weighted relatedness of remaining candidates (AECP). In 2023, Japan leads AECI, while China leads AECP; portfolio breadth accounts for much of the variation in raw AECI. Initial raw potential is positively associated with subsequent changes in the AI-enabling export share, but its associations with changes in AECI and specialization counts are not statistically significant at the 5% level. Our contribution is a trade-based assessment of AI-enabling productive capabilities and related opportunities. The results and public dashboard provide a preliminary complement to publication and patent indicators, not a comprehensive measure of national AI performance or a validated forecast of diversification.
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI-enabling goods
complexity-weighted specialization
adjacent opportunities
trade-based assessment
🔎 Similar Papers
2024-05-31arXiv.orgCitations: 7
