Environmental Macro-Indicators of Innovation

EMInInn will assess the environmental impacts associated with innovation. 

It will assemble and set out coherently both macro-indicators and data of environmental impacts and indicators and data to measure innovations. 

It will apply a number of analytical approaches for the assessment of the macro-environmental impacts of innovation to energy sources and conversion technologies, information and communication technologies, transport, built environment and buildings and waste management. By improving methods of environmental assessment of innovation, EMInInn seeks to contribute to the flagship initiatives for a Resource Efficient Europe and the Innovation Union and improved EU-policies for a transition towards a more sustainable Europe.

The project is extending UCL’s European TIMES Model (ETM-UCL), by linking it with indirect emissions factors from an environmentally extended input-output model. This will provide, for the first time, a model that can explore optimal emissions reduction pathways that take account of the emissions associated with the construction of energy technologies. 

People

• Will McDowall, UCL ISR
• Paul Ekins, UCL ISR
• Baltazar Solano, UCL-Energy
• Francis Li, UCL-Energy
• Paola Lettieri (UCL Chem. Eng.)
• Sara Evangelisti (UCL Chem. Eng.)
• Olga Parkes (UCL Chem. Eng.)

External partners:

Wuppertal Institute CML, Leiden University MERIT, University of Maastricht TNO CERIS, Italy IVLplaceholder

Outputs

EMInInn will develop traditional academic outputs in the form of reports, conference papers and journal articles. In addition, we will be aiming to develop new analytic tools, both in terms of conceptual frameworks and modelling approaches.

EMInInn will feed into policy-making at the European level, through a series of stakeholder workshops and a high-level advisory committee. The project’s outputs will be highly policy-relevant, addressing the extent to which European commitments to innovation can facilitate meeting environmental goals.