MV
M. Vossen
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Trade classifications change over time, which makes detailed trade data difficult to compare consistently across years. This is especially important for critical raw materials (CRM) analysis, where product-specific mappings are often needed to link trade codes to material relevance. Revisions to systems such as the Harmonized System (HS) and the Combined Nomenclature (CN) make those mappings harder to maintain over time. This thesis examines whether the Lukaszuk–Torun (LT) method can be credibly applied to CN data to convert trade flows between classification vintages and express them on a common basis. The results support LT-based CN harmonisation for adjacent-year conversions and indicate that it can be suitable for longitudinal analysis on a common classification basis, especially at aggregate or group level. Longer conversion chains are more approximate and require greater caution, particularly for narrow code trajectories. The contribution is primarily methodological: the thesis shows that higher-detail CN data can be made more usable over time while clarifying the limits of LT-based harmonisation for CRM-motivated research.
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Trade classifications change over time, which makes detailed trade data difficult to compare consistently across years. This is especially important for critical raw materials (CRM) analysis, where product-specific mappings are often needed to link trade codes to material relevance. Revisions to systems such as the Harmonized System (HS) and the Combined Nomenclature (CN) make those mappings harder to maintain over time. This thesis examines whether the Lukaszuk–Torun (LT) method can be credibly applied to CN data to convert trade flows between classification vintages and express them on a common basis. The results support LT-based CN harmonisation for adjacent-year conversions and indicate that it can be suitable for longitudinal analysis on a common classification basis, especially at aggregate or group level. Longer conversion chains are more approximate and require greater caution, particularly for narrow code trajectories. The contribution is primarily methodological: the thesis shows that higher-detail CN data can be made more usable over time while clarifying the limits of LT-based harmonisation for CRM-motivated research.