Distinguishing Good Practice from Cases of Misuse or Abuse of Life Cycle Assessment (LCA)
The application of Life Cycle Assessment (LCA) studies at all stages of policymaking is essential for the efficient and effective achievement of internationally agreed goals. LCA and other life-cycle approaches help identify impact hotspots, guide action towards these areas, and highlight potential trade-offs early in the decision-making process. The systemic nature of LCA promotes consistency and coherence across different policies, sectors, and aspects of sustainability. However, the effectiveness of an LCA study depends critically on its alignment with its intended purpose.
Key considerations include the importance of the use phase and user behavior, as well as evaluating results not just at the level of a single product unit, but in terms of overall production and system-wide impacts. Misinterpretation or misuse of LCA can occur, either accidentally or intentionally. This often involves the generalization of specific LCA results, improper assumptions, modelling the studied systems incorrectly, or misleading comparative assertions.
The following table outlines principles and criteria for determining the robustness of an LCA study, along with examples of good and bad practices. These principles are primarily derived from ISO standards 14040-44. While compliance with ISO or other methodologies such as the European Environmental Footprint (EF) method does not inherently guarantee that an LCA is suitable for policy use, closely following these standards ensures that sufficient information is available to assess whether the LCA study can effectively inform policy or business decisions. Definitions of specific terms can be found in our LCA Terminology page.
| Criteria / Principles | Good Practice | Bad Practice (Misuse/Abuse) |
|---|---|---|
| 1. Goal and Scope Align with the information to shape the policy The quality of an LCA study depends on its alignment with the intended purpose. The goal and scope, including the functional unit, system boundaries, and impact assessment methods, must align with the policy context and decision-making needs. | • The LCA study’s goal and scope are clearly defined and aligned with the intended policy or decision-making context. The functional unit, system boundaries, and impact categories are specific, relevant, and clearly stated. • The goal and scope clearly describes all relevant assumptions used in the LCA study. • The study ensures conclusions are context-specific, considering geographical regions, technologies, and other relevant factors. • In the case of a comparative LCA, the study provides robust comparisons by ensuring equivalent goal and scope for all options/scenarios being evaluated. • Relevant product alternatives for the context of the study are included and compared. | • The LCA study’s goal and scope are incomplete and/or misaligned with the policy context, leading to inappropriate conclusions. • Assumptions not adequately documented. • The study generalizes findings from a specific technology or geographical region to broader contexts without considering variations in local conditions or technological processes. • Comparisons are made without ensuring consistency in system boundaries, functional units, or contextual factors, leading to biased or misleading conclusions. • Relevant product alternatives are excluded and conclusions are drawn that could be contested with excluded alternatives. |
| 2. Comprehensiveness of LCA (covering all relevant environmental indicators and life cycle stages) A comprehensive LCA study should cover all relevant environmental indicators and life cycle stages, justifying any exclusions. It must consider all impacts on environmental quality, human health, and resources to avoid unintended trade-offs. | • The LCA study covers all relevant life cycle stages and environmental indicators. It justifies any exclusions and assesses trade-offs between different environmental, economic, and social factors. • The study covers all relevant life cycle stages of the product(s), from raw material extraction to end-of-life disposal. Any omission of specific life cycle stages or processes is clearly justified and explained (e.g., if specific stages are identical in all options being assessed). • The study clearly defines system boundaries and ensures comparisons are fair, such as comparing products based on the same period of use / the same amount of function delivered. • Decision-making is based on comprehensive impact assessments rather than relying on single scores or isolated footprinting approaches. | • The study shows results for only a limited number of impact categories, such as climate change, ignoring potential trade-offs with other impacts. • The study presents partial LCA results, such as focusing only on the cradle-to-gate phase when this is not justified, leading to broad claims about sustainability without considering the entire life cycle. • System boundaries are not correctly defined or functions are unequal, leading to misleading comparisons (e.g., comparing a durable product with a less durable one without accounting for differences in use). • The study relies on single score metrics or footprints (e.g., carbon footprint), which oversimplify the results and can mislead decision-makers. |
| 3. Transparency and Data Consistency Transparency in LCA studies is essential for proper interpretation of results. This includes clear hypotheses, assumptions, and thorough documentation of data consistency. Consistency across data sources and methods is crucial to avoid misinterpretation. | • The study includes clear hypotheses and assumptions. It performs sensitivity analyses to test the implications of using poor-quality data and transparently reports uncertainties. • The sources and quality of data used are clearly described, pointing out potential uncertainties and assessing their influence on outcomes through uncertainty or sensitivity analyses. • The study ensures data consistency, avoiding common errors such as mixing old and new data, double-counting emissions, or using inconsistent energy models. | • The study lacks clear explanations of assumptions and does not include sensitivity or uncertainty analyses, leading to potential misinterpretations of the results. • Data inconsistency, such as mixing outdated and current data, or using different energy models, which can result in misleading comparisons. • The study may double-count emissions or inconsistently model biogenic and non-biogenic emissions, leading to errors in impact assessments. |
| 4. Critical Review and Peer Review Peer review is crucial in validating the methodology and conclusions of an LCA study, particularly for policymaking. This process ensures adherence to recognized standards such as ISO 14040 and 14044. | • The study undergoes a peer review process in accordance with ISO 14040 and 14044 frameworks, with a review statement that confirms adherence to recognized standards and methods. • The peer review is conducted by an independent third party or chaired review panel, including relevant stakeholders, LCA experts, and sector-product experts. • A review statement is publicly available and explicitly confirms that the study respects relevant methods and standards, including a clear scope definition and comprehensive inventory data description. | • The study claims to have undergone a peer review but provides no review statement, raising concerns about its validity and adherence to ISO or other relevant standards. • The study lacks a robust peer review process, or the review is conducted without relevant expertise, leading to potential biases in the assessment. • The study does not provide a public review statement, or the statement does not adequately confirm adherence to ISO standards, or the reviewers are not disclosed or do not adequately represent the stakeholders, leading to doubts about the study’s reliability. |
Selected further reading on this topic
- Baitz, M. Responsibility in life cycle assessment practice. Int J Life Cycle Assess 24, 179–180 (2019). DOI:10.1007/s11367-018-1558-1
- Cottafava, D., Brussa, G., Cavenago, G. et al. Requirements for comparative life cycle assessment studies for single-use and reusable packaging and products: recommendation for decision and policy-makers. Int J Life Cycle Assess (2024). DOI:10.1007/s11367-024-02291-0
- Hellweg S, Milà i Canals L (2014) Emerging approaches, challenges and opportunities in life cycle assessment Science 344(6188) 1109-1113 DOI:10.1126/science.1248361
- ISO 14040:2006: Environmental management Life cycle assessment Principles and framework
- ISO 14044:2006: Environmental management Life Cycle Assessment Requirements and Guidelines
- Sala, S., Amadei, A. M., Beylot, A., & Ardente, F. (2021). The evolution of life cycle assessment in European policies over three decades. The International Journal of Life Cycle Assessment, 26, 2295-2314. DOI:10.1007/s11367-021-01893-2
- United Nations Environment Programme (2004). Why take a life cycle approach. The Life Cycle Initiative. https://wedocs.unep.org/20.500.11822/7917.
- United Nations Environment Programme (2012). Greening the Economy Though Life Cycle Thinking. The Life Cycle Initiative. https://www.lifecycleinitiative.org/wp-content/uploads/2013/03/2012_LCI_10_years_28.3.13.pdf
- United Nations Environment Programme (2024). A policymakers’ guide to Life Cycle Assessment. Policy brief. The Life Cycle Initiative. https://wedocs.unep.org/20.500.11822/46469