Abstract
Purpose Life cycle assessment (LCA) and data envelopment analysis (DEA) have been combined in numerous occasions in order to identify the environmental efficiency of multiple units. In many cases, important differences in environmental performance have been identified among the units, referred to as decision-making units (DMUs). However, most studies have been limited to 1 year of assessment, preventing the study from identifying if efficiency values were linked to a specific trend of each DMU through time or to random annual changes. Therefore, the current study delves into the temporal variations in efficiency using DEA.
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