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Research on an International Trade Policy Evaluation Model Based on Global Public Opinion

Author(s)

Yingying Zhu

Affiliation(s)

Shandong Vocational College of Science and Technology, Weifang, Shandong, China

Abstract

This paper, based on policy informatics and public policy evaluation theory, combines practical experience in the field of international trade policy to propose an evaluation model adapted to the current domestic and international context. By analyzing global media coverage, the paper explores how big data technology can be utilized to assess the impact of international trade policies. Specifically, the study employs data sources such as GDELT (Global Database of Events, Language, and Tone) to construct an evaluation model with multidimensional indicators, including public opinion analysis, sentiment index, and word frequency analysis. This model combines both quantitative and qualitative approaches to assess the global influence of international trade policies. The research demonstrates that the selected indicators and model can effectively identify and evaluate global public reactions to policy implementation, providing real-time and effective information support for the formulation, evaluation, and adjustment of global trade policies. By monitoring public opinion in key countries (regions) and international organizations, the model assists decision-makers in identifying abnormal shifts in public sentiment in a timely manner, enabling more accurate policy evaluation and adjustments. Furthermore, the paper emphasizes that, in the context of globalization, the evaluation mechanism for international trade policies can be further optimized by integrating dynamic public opinion, stakeholder positions, and public attention, thereby enhancing policy transparency and international competitiveness.

Keywords

Big Data; International Trade; Policy Evaluation; Global Public Opinion

References

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