and define the Sectoral Average Propagation Lengths (APLs, which we can represent on
a nxn matrix; let us call it the APL matrix ):
h
APLii = -l, for : i ≠ j
ij l
ij
APLii = APLjj
hii
hjj
(lii - 1) (ljj -
1), for:i= j
These values are the base of the M10 - APLU: Average Propagation Lengths
(Unweighted) measure:

1 ∑ jAPL =1 ∑ j 1 ∑ApLt
n j n j n t
(10)
Another recent measure, explicitly made for quantifying economic complexity as input-
output interdependence, is proposed by Amaral et al. (2007), based on Amaral (1999).
This measure considers i) a “network” effect, which gives the extent of the direct and
indirect connections of each part of the system with the other parts, and where more
connections corresponds to more complexity; and ii) a “dependency” effect, i.e. how much of
the behavior of each part of the system is determined by internal connections between the
elements of that part - which means more autonomy and less dependency - and how much of
that behavior is determined by external relations, i.e. relations with other parts of the system
- which means less autonomy and greater dependency.
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