A Hybrid Fuzzy TOPSIS Method to Analyze the Coverage of a Hypothetical EU Ecolabel for Fishery and Aquaculture Products (FAPs)

This study presents a hybrid fuzzy technique for order preference by similarity of the ideal solution (TOPSIS) method (FTOPSIS) to analyze the coverage of a hypothetical EU ecolabel for fishery and aquaculture products (FAPs) by integrating a synthetic indicator to determine the level of acceptance for the inclusion of different types of information apart from environmental issues, considering different stakeholders and other segments of analysis. Data were obtained from a public consultation of the EU on “ecolabels for FAPs”. The results indicate that ecolabels should not only include environmental issues but also other types of information, with social and ethical issues being the most relevant, followed by animal welfare issues, health and safety issues and food quality issues. The findings also show that consumers, producers and stakeholders who are more interventionist and support the fact that public bodies and governments should be involved in the control of eco-labeling are more accepting of including additional information apart from environmental issues. Synthetic indicators (SIs) have also been found to be mostly inelastic, except for the owners of ecolabels on social and ethical issues. The implications of the future implementation of the EU ecolabel for FAPs are discussed based on the findings.