The environmental and social footprint of the university of the Basque Country UPV/EHU

This work has calculated the organisational environmental and social footprint of the University of the Basque Country (UPV/EHU) in 2016. First, input and output data flows of the UPV/EHU activity were collected. Next, the environmental and social impacts of the academic activity were modelled, using the Ecoinvent 3.3 database with the PSILCA-based Soca v1 module in openLCA software. In order to evaluate the environmental impacts, CML and ReCiPe LCIA methods were used. The Social Impact Weighting Method was adjusted for the assessment of specific social impacts. The modelling has identified some hotspots in the organisation. The contribution of transport (8,900 km per user, annually) is close to 60% in most of the environmental impacts considered. The life cycle of computers stands out among the impacts derived from the consumption of material products. More than half of environmental impacts are located outside the Basque Country. This work has also made it possible to estimate some of the impacts of the organisational social footprint, such as accidents at work, only some of which occur at the UPV/EHU. Traces of child labour and illiteracy have also been detected in the social footprint that supports the activity of the UPV/EHU. Some of the social and environmental impacts analysed are not directly generated by the UPV/EHU, but they all demand attention and co-responsibility. Based on the modelling performed, this work explores alternative scenarios and recommends some improvement actions which may reduce (in some cases over 30%) the environmental and social impacts of the UPV/EHU's activity. These scenarios and improvement actions will feed a process with stakeholders in the UPV/ EHU based on the Multi-criteria Decision Analysis (MCDA) methodology.

Automated summary

This study calculated the organizational environmental and social footprint of the University of the Basque Country in 2016, identifying hotspots and recommending improvement actions to reduce impacts. The research also analyzed the social and environmental impacts not directly generated by the university, emphasizing the importance of attention and co-responsibility. The modeling performed explored alternative scenarios and proposed actions for stakeholders based on the Multi-criteria Decision Analysis methodology.