Finding an economic and environmental balance in value chains based on circular economy thinking: An eco-efficiency methodology applied to the fish canning industry

Abstract

The production of food that is environmentally friendly and presents a high economic return is one of the current concerns for the food industry. Eco-efficiency links the environmental performance of a product to its economic value. In this context, this study combines Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) to propose a two-step eco-efficiency methodology assessment for the fish canning industry. An eco-label rating system based on a descriptive weighting of environmental (Global Warming Potential, Acidification Potential, Eutrophication Potential and the ReCiPe Single Score Endpoint) and economic (Value Added) indicators was applied to the canned anchovy. Secondly, LCA-LCC results were coupled to linear programming (LP) tools in order to define a composite eco-efficiency index. This approach enables translation into economic terms of the environmental damage caused when a given alternative is chosen. In particular, different origins for anchovy species (South American vs. Cantabrian) and related waste management alternatives (landfill, incineration and valorization) were evaluated under this cradle to gate approach. Results indicated that substantial differences can be observed depending on the origin of the fish. Anchovies landed in Cantabria show a higher value added score at the expense of larger environmental impacts, mainly due to fuel use intensity. Moreover, its environmental scores are lowered when fish residues are valorized into marketable products, while increasing the value added. This study demonstrates the environmental and economic benefits of applying circular economy. According to this, it is possible to introduce the cradle-to-cradle concept in the fish canned industry. The methodology proposed is intended to be useful to decision-makers in the anchovy canning sector and can be applied to other regions and industrial sectors.