Assessing Economic Complexity with Input-Output Based Measures



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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