Uncertainty Analysis of Global Reuse Monitoring

Abstract Global reuse monitoring traces the international trade of used products, which is the first step toward global reuse management. This study aims to analyze the uncertainty of global reuse monitoring by focusing on the mirror statistics issue in the trade data for used automobiles and engines. Our uncertainty analysis clarifies the high uncertainty in the trade of used products at the inter-country level. In addition, it notes that the outliers and missing values affect this uncertainty to a large extent. The correction of the outliers and missing values to accurately reflect the characteristics of trade statistics is essential for global reuse monitoring.