To assess the potential environmental impact of human/industrial systems, life cycle assessment (LCA) is a very common method. There are two prominent types of LCA, namely attributional (ALCA) and consequential (CLCA). A lot of literature covers these approaches, but a general consensus on what they represent and an overview of all their differences seems lacking, nor has every prominent feature been fully explored. The two main objectives of this article are: (1) to argue for and select definitions for each concept and (2) specify all conceptual characteristics (including translation into modelling restrictions), re-evaluating and going beyond findings in the state of the art. For the first objective, mainly because the validity of interpretation of a term is also a matter of consensus, we argue the selection of definitions present in the 2011 UNEP-SETAC report. ALCA attributes a share of the potential environmental impact of the world to a product life cycle, while CLCA assesses the environmental consequences of a decision (e.g., increase of product demand). Regarding the second objective, the product system in ALCA constitutes all processes that are linked by physical, energy flows or services. Because of the requirement of additivity for ALCA, a double-counting check needs to be executed, modelling is restricted (e.g., guaranteed through linearity) and partitioning of multifunctional processes is systematically needed (for evaluation per single product). The latter matters also hold in a similar manner for the impact assessment, which is commonly overlooked. CLCA, is completely consequential and there is no limitation regarding what a modelling framework should entail, with the coverage of co-products through substitution being just one approach and not the only one (e.g., additional consumption is possible). Both ALCA and CLCA can be considered over any time span (past, present & future) and either using a reference environment or different scenarios. Furthermore, both ALCA and CLCA could be specific for average or marginal (small) products or decisions, and further datasets. These findings also hold for life cycle sustainability assessment.

Changing individual habits towards greener choices is an essential ingredient in tackling the environmental crisis. Engaging in green behavior may improve psychological wellbeing. Although the intention to buy green products is widespread, the eco-friendly market is struggling to leave the ground. Greenwashing can increase skepticism towards green advertising, which in turn can hinder the intention to buy green products. Conversely, a better knowledge of environmental issues can promote a positive attitude towards environment and thus the intention to purchase green products. This study aimed to investigate if trust in green claims can mediate the relationships of green advertising skepticism and environmental knowledge with the intention to buy green food. An online survey was administered to 410 Italian consumers (63% female; 18–78 years). Our mediation model explained 23% of the variability in intention. Trust fully mediated the relationship between green advertising skepticism and intention to buy green food, while it partially mediated the relationship between perceived environmental knowledge and intention. Specifically, GAS was associated with lower INT through lower TR, whereas PEK was linked to higher INT though higher TR. The findings of this study can provide green market operators and policy makers with valuable information to encourage green food purchases.

Promoting environmentally friendly behaviors is a pivotal strategy in addressing the climate crisis. The food industry’s impact on pollution and resource consumption underscores the importance of fostering eco-sustainable food consumption, which can significantly benefit the environment. However, despite the global surge in green purchase intentions, a noticeable discrepancy persists between these intentions and actual purchasing behavior. This study aimed to investigate the influence of various factors on the likelihood of purchasing green food. An online survey was administered to Italian adult consumers (n = 832, 66% female, aged 18–84 years), collecting sociodemographic data and assessing emotions related to green purchases, perceptions of green food characteristics, intention to buy green food, and frequency of green food purchases. Through cluster analysis, three distinct consumer categories emerged: Coherent Buyers (individuals willing to buy green food and actively doing so), Coherent Non-Buyers (individuals who have no intention to buy green food and do not buy it), and Non-Buyers with Favorable Intentions (individuals expressing willingness to buy green food but not following through with purchases). Results from multinomial logistic regression analysis revealed that several factors influenced the likelihood of being categorized in the other two categories, as opposed to the Coherent Buyers one. These factors included younger age, a lower sense of pride associated with purchasing green products, and considering healthiness, natural content, and eco-sustainability of food less important and familiarity of green food more important. These findings provide valuable insights for marketers and policymakers, facilitating efforts to bridge the gap between green food intentions and behaviors and promote a shift toward a more eco-sustainable dietary pattern.