Resumen de Proposal for a LCA improvement roadmap in the Agri-food sector based on information exchange requirements and the enclosed data in recent LCAs works
Filipe Marinho Oliveira Barros
Innovation is essential to promote human progress and to improve the humans' quality of life, but it should be done in a social and environmental context and in accordance with the principles of sustainable development. To achieve this challenge the environmental innovation guidelines should be taken into account. In this line, it is necessary to analyze the life cycle assessment (LCA) of any product, process or service and compute its environmental impacts.
Despite the rapid evolution of environmental methods and tools and the increase of sustainability studies in recent years, LCA remains an area that still has to face major development challenges. This thesis provides an analysis from a new perspective with the intention to serve as a support in the conceptual and empirical application of the LCA in the Agri-food sector. It consists of a qualitative analysis designed to know the type of relationship between the different actors involved and their information exchange needs. The case study made it possible to compare the differences between the academic and the industrial fields, as well as the differences between Spanish and Brazilian LCA experts. Through expert panels, 40 specialists were interviewed and were asked to made a survey to evaluate experts' relationships using the Social Network Analysis method (SNA). Moreover, the network flow of environmental information in Brazil and Spain was mapped.
A second quantitative study was carried out reviewing 70 scientific publications of LCA in the Agri-food sector according to a checklist based on the definition of 20 control variables. The objective was to evaluate the quantity and quality of the information enclosed in the different works. To do this, the entropy and diversity of information were calculated using the Shannon and the equitability indexes, using the number of inputs considered in each impact category. A threshold of minimum information is proposed, using percentiles 25 and 75 (Tukey values) of the calculated Shannon indexes from the papers sample.
Moreover, a cluster analysis was done using 10 out the 20 control variable to classify LCAs into clusters with similar levels of performance for the LCAs of the same group and different from the LCA belonging to the other groups. Based on the analysis of the centers of resulting group, the strengths and weaknesses of each group were identified.
Then, a roadmap or improvement plan was succinctly defined, pointing out the actions to be taken to improve the performance levels in each group in the short, medium and long term.
Finally, a set of actions to improve and facilitate the implementation of LCA in the Agri-food sector was defined as a kind of good practice manual. In sum, it could be concluded that this present thesis could serve to improve the LCA studies performance levels for industry, and, at the same time, it could serve as a baseline with which to compare academic standards of a more academic works.
