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.



More intriguing information

1. The name is absent
2. A multistate demographic model for firms in the province of Gelderland
3. El impacto espacial de las economías de aglomeración y su efecto sobre la estructura urbana.El caso de la industria en Barcelona, 1986-1996
4. How Offshoring Can Affect the Industries’ Skill Composition
5. Business Networks and Performance: A Spatial Approach
6. Co-ordinating European sectoral policies against the background of European Spatial Development
7. The magnitude and Cyclical Behavior of Financial Market Frictions
8. Experience, Innovation and Productivity - Empirical Evidence from Italy's Slowdown
9. Automatic Dream Sentiment Analysis
10. INTERPERSONAL RELATIONS AND GROUP PROCESSES