My research focuses on energy economics, financial networks, climate finance and policy evaluation. I have been leading the following research projects:
LINKS project (ERC Starting Grant)
LINK aims to advance the understanding of the role of climate finance to foster the low-carbon transition by using network theory, advanced computational techniques and extensive empirical data to model the financial system as a complex adaptive system. By understanding the architecture of the financial system, exploring macro-patterns in low-carbon investment emerging from observed investors’ behaviour and interactions, and designing cross-cutting policies aligned with long-term climate targets, LINKS will promote essential guidance to re-orient financial flows towards low-carbon and energy efficiency investments.
The GREEN-WIN project
The GREEN-WIN project develops a major international transdisciplinary research collaboration to apply a solution-oriented approach targeted at increasing the understanding of links between climate action and sustainability and overcoming implementation barriers through win-win strategies. I’m leading the finance dimension area of the project.
The COP21 RIPPLES project
The COP21 RIPPLES project aims to analyse the transformations in the energy systems, and in the wider economy, that are required in order to implement the Paris Agreement (NDCs), and investigate what steps are needed to attain deeper, more ambitious decarbonisation targets, as well as the socio-economic consequences that this transition will trigger. I’m leading the finance dimension area of the project.
The Property Assessed Clean Energy (PACE) project
PACE is an innovative financing policy used in US to promote clean energy investment. I explored the application of PACE to the Italian context and its potential to provide a major boost towards the achievement of grid parity between solar energy and conventional sources in Italy. I have also conducted the first rigorous evaluation study of its effectiveness by employing a spatial regression discontinuity based on California data.
Technology adoption across OECD countries project
This project explores the slow adoption of clean energy investments. Using micro-data from the OECD Survey on Household Environmental Behaviour and Attitudes, I assess factors influencing households’ decision-making processes when adopting new clean energy technologies, with a particular attention to behavioural determinants, such as attitude towards the environment and respondents’ beliefs in climate change.