A Comparative Study of China and the United States’ Digital Economy Policies Based on Cross-lingual Model
ZOU Yuheng, LU Dongyuan, SANG Dong
1. School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China; 2. NetsUnion Clearing Corporation, Beijing, 100045, China
Abstract：In the context of escalating Sino-American strategic competition, a comparative study of Chinese and the USA digital economy policies bears significant strategic value. Traditional methods of policy comparison are limited by cost, can’t solve this problem well. This paper focuses on the contrast between digital economy policies in China and the USA, proposing a resolution framework based on a cross-language model. The framework initially classifies Sino-American digital economic policies by fine-tuning language models and calculating multilingual similarity, thereby achieving automated comparative analysis of the policy environments. Experiments demonstrate that the proposed method can accurately and efficiently identify and extract policy text features, outperforming baseline methods in accuracy across multiple classification dimensions. Finally, by comparing over 16,000 Sino-American digital economic policy texts, this paper reveals key differences in policy tool usage and the focus of digital economic industry development between the two countries, providing a comprehensive and objective portrayal of the disparities in digital economy policy environments. Concurrently, it also brings a fresh perspective to policy comparison research.
邹雨衡, 路冬媛, 桑栋. 基于跨语言模型的中美数字经济政策对比[J]. 复杂系统与复杂性科学, 2025, 22(2): 82-89.
ZOU Yuheng, LU Dongyuan, SANG Dong. A Comparative Study of China and the United States’ Digital Economy Policies Based on Cross-lingual Model[J]. Complex Systems and Complexity Science, 2025, 22(2): 82-89.
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