  This work deals with Green Energy Transition, focusing on the problem of
understanding subjects' reactions to the urgency of a change and inputs coming
from governments. We use the example of solar photovoltaic as a concrete
example and compare our models to data. We develop two models following two
sets of assumptions: a Markovian model of interacting particle systems and a
MFG model. In both cases, we derive the scaling limit deterministic dynamics.
We compare the two dynamics to Italian solar photovoltaic data identifying
periods where the first model describes the behavior of domestic data well and
a period where the second model captures a particular feature of data
corresponding to companies. The comprehensive analysis, which is integrated by
a philosophical inquiry focusing on the conceptual vocabulary used and the
correlative implications, leads to the formulation of hypotheses about the
efficacy of different forms of governmental subsidies.
