Modelling and Visualization Tools for Resource Decoupling at Meso- and Micro-Levels: Case Study in Poland

The monitoring and transition toward a circular economy, along with resource and economic decoupling, can be supported by an assessment and visualization system for material use. While resource productivity indicators and macro-level decoupling are well established, significant challenges remain at the meso-level. In particular, identifying and comparing industry branches is hindered by data access constraints and visualization limitations. To identify and visualize resource decoupling across different industrial divisions, data were collected for Poland from the Central Statistical Office. A combination of three statistical methods offers a multidimensional perspective on this research challenge. The Osanna Triangle illustrates the proportions of resources used across different manufacturing divisions, while Ward’s method identifies similarities between industrial divisions. Meanwhile, correlation analysis determines the strength and direction of relationships between resource utilization and production value. This study aims to analyze resource consumption patterns across various industrial processing divisions and visualize these connections. The results can support the formulation of effective industrial policies, including targeted support for low-emission technologies in specific industrial divisions. This approach aims to optimize resource utilization, promote sustainable development, and achieve resource decoupling.