The main goal of the European product environmental footprint (PEF) method is to increase comparability of environmental impacts of products within certain product categories by decreasing flexibility and therefore achieving reproducibility of results. Comparability is supposed to be further increased by developing product category specific rules (PEFCRs). The aim of this paper is to evaluate if the main goal of the PEF method has been achieved. This is done by a comprehensive analysis of the PEF guide, the current PEFCR guide, the developed PEFCRs, as well as the insights gained from participating in the pilot phase. The analysis reveals that the PEF method as well as its implementation in PEFCRs are not able to guarantee fair comparability due to shortcomings related to the (1) definition of product performance; (2) definition of the product category; (3) definition and determination of the representative product; (4) modeling of electricity; (5) requirements for the use of secondary data; (6) circular footprint formula; (7) life cycle impact assessment methods; and (8) approach to prioritize impact categories. For some of these shortcomings, recommendations for improvement are provided. This paper demonstrates that the PEF method has to be further improved to guarantee fair comparability.

The number of pet animals in the European Union is increasing over the last decades. Few studies with a limited focus in terms of impacts and life cycle stages exist that assess the environmental impacts of dogs. This paper addresses the entire life cycle of a dog. An LCA study on an average dog was conducted considering the pet food and dog excrements, i.e., urine and feces. Fifteen impact categories were analyzed. An average dog has a climate change and freshwater eutrophication potential of around 8200 kg CO₂eq and 5.0 kg Peq., respectively. The main contribution to most impact categories over the dog’s life is caused by pet food. Freshwater eutrophication is mainly determined by the dog´s urine and feces. Feces also have a significant contribution to the category of freshwater ecotoxicity. Impacts increase significantly with increasing weight and a longer lifetime of the dog as well as low collection rates of the feces. This LCA study reveals that pet dogs can have a significant environmental impact, e.g., around 7% of the annual climate change impact of an average EU citizen. Optimizing pet food and increasing the feces´ collection rate can reduce the impacts.

The ongoing pilot phase of the European Product Environmental Footprint (PEF) tests the PEF method and develops product category-specific rules (PEFCRs) for selected product categories. The goal of PEF is to address all relevant environmental impacts and the full life cycle of products is acknowledged. However, PEF faces several methodological and practical challenges. This paper presents key findings of a comprehensive analysis of the current status of the PEF pilot phase (mainly based on the evaluation of all draft PEFCRs). Remaining key challenges are: (1) the still open goal and policy outcome of the PEF process; (2) the difficult applicability and, thus, the unclear tangible added value of some PEF rules compared to current life cycle assessment (LCA) practice; (3) the insufficient maturity level of some predefined impact assessment methods and missing reliable methods for prioritizing impact categories; and (4) the fact that, in the worst case, the developed PEFCRs may not support a fair comparability of products. This “mid-term review” of the PEF pilot phase shows that the PEF method and the PEFCRs need to be further improved and refined for a successful policy implementation of PEF, but also for avoiding that unsolved issues of PEF affect the LCA method as such.

Identifying social impacts along the life cycle of their products is becoming increasingly important for companies. Social Life Cycle Assessment (SLCA) as a possible tool has not been conducted so far within industries with complex international supply chains using mainly company-specific data. As a novelty, this work presents a practical SLCA approach along with the first case studies for the automotive industry, based on a previously developed indicator set and an extensive data collection. Social data was collected from companies along the life cycle of two specific car components, while analyzing data availability, validity and comparability. To obtain product references, both a top-down and a bottom-up approach for quantitative indicators based on time effort and data availability on the process level were devised. Also, two options were developed for how qualitative indicators (e.g., written principles for Corruption) can be applied together with quantitative performance indicators (e.g., number of accidents). The general practical applicability of the approach could be demonstrated by four quantitative and seven qualitative indicators. It is a first step towards analyzing the social performance of products with complex supply chains on a company level. Remaining challenges include social data availability and quality and obtaining data at the process level (allocation). These should be addressed in future studies.