Multi scale evaluation and analysis of international trade objectives of port cities.

This article focuses on developing and applying a new multi-scale evaluation method to assess the sustainable development capacity of international trade goals in Chinese port cities. The method integrates an improved normalization process, a combination weighting approach using Analytic Hierarchy Process (AHP) and factor analysis, and a fuzzy comprehensive evaluation model to analyze multiple indicators across economic, social, environmental, and industrial dimensions. Empirical analysis of nine major Chinese port cities, including Shanghai, Tianjin, and Guangzhou, demonstrates that this combined evaluation method yields results closely aligned with actual trade performance data, indicating its higher accuracy compared to single-method approaches. The study highlights Shanghai's strong trade competitiveness and relative independence in foreign trade while noting environmental challenges, and it suggests that the proposed evaluation framework provides a theoretical basis for guiding sustainable international trade development in port cities.