  We study the empirical relationship between green technologies and industrial
production at very fine-grained levels by employing Economic Complexity
techniques. Firstly, we use patent data on green technology domains as a proxy
for competitive green innovation and data on exported products as a proxy for
competitive industrial production. Secondly, with the aim of observing how
green technological development trickles down into industrial production, we
build a bipartite directed network linking single green technologies at time
$t_1$ to single products at time $t_2 \ge t_1$ on the basis of their
time-lagged co-occurrences in the technological and industrial specialization
profiles of countries. Thirdly we filter the links in the network by employing
a maximum entropy null-model. In particular, we find that the industrial
sectors most connected to green technologies are related to the processing of
raw materials, which we know to be crucial for the development of clean energy
innovations. Furthermore, by looking at the evolution of the network over time,
we observe that more complex green technological know-how requires more time to
be transmitted to industrial production, and is also linked to more complex
products.
