bundle of two measures that explicitly exclude intra-sectoral flows, negatively correlated
with all the others, but probably the most appropriate for measuring complexity as (sectoral)
interdependence.
According to the majority bundle of (more conventional) measures of connectedness,
large economies seem to be more complex than small ones. The bundle of two measures
excluding (direct) intra-sectoral flows, on the other hand, points to the opposite conclusion,
but this surprising result needs to be confirmed with further theoretical and empirical
research.
REFERENCES
Adami, C. 2002. What is complexity? BioEssays 24: 1085-94.
Amaral, J. F. 1999. Complexity and Information in Economic Systems. In Perspectives on
Complexity in Economics, ed. F. Louça, ISEG-UTL, Lisbon Technical University.
Amaral, J. F., J. Dias and J. Lopes. 2007. Complexity as interdependence in input-output
systems. Environment and Planning A 39: 1170-82.
Aroche-Reyes, F. 1996. Important coefficients and structural change: a multi-layer approach.
Economic Systems Research 8: 235-46.
Aroche-Reyes, F. 2003. A qualitative input-output method to find basic economic structures.
Papers in Regional Science. 82: 581-90.
Arthur, B. 1999. Complexity and the Economy. Science 284: 107-9.
Basu, R. and T. G. Johnson. 1996. The development of a measure of intersectoral
connectedness by using structural path analysis. Environment and Planning A 28: 709-30.
18
More intriguing information
1. The Role of Trait Emotional Intelligence (El) in the Workplace.2. An Investigation of transience upon mothers of primary-aged children and their school
3. The name is absent
4. Optimal Private and Public Harvesting under Spatial and Temporal Interdependence
5. Banking Supervision in Integrated Financial Markets: Implications for the EU
6. PROJECTED COSTS FOR SELECTED LOUISIANA VEGETABLE CROPS - 1997 SEASON
7. The name is absent
8. Fiscal Policy Rules in Practice
9. The Role of Land Retirement Programs for Management of Water Resources
10. The name is absent