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Debunking in a world of tribes

PLOS ONE

60 views

DebtRank: A microscopic foundation for shock propagation

PLOS ONE

104 views

The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market

Computational Management Science

30 views

Random close packing fractions of lognormal distributions of hard spheres

Powder Technology

72 views

How much can we influence the rate of innovation?

Sub. to

Science Advances

10 views

Photonic Maxwell’s Demon

Physical Review Letters

63 views

The mise en scene of memristive networks: effective memory, dynamics and learning

International Journal of Parallel, Emergent and Distributed Systems

98 views

Bootstrapping topology and systemic risk of complex network using the fitness model

Journal of Statistical Physics

85 views

Serendipity and strategy in rapid innovation

Nature Communications

194 views

Entanglement typicality

Journal of Physics A

103 views

Searching for Great Strategies

Strategy Science

78 views

Low-temperature behaviour of social and economic networks

Entropy

111 views

How predictable is technological progress?

Research Policy

50 views

76 papers

A new metric for countries’ fitness and products’ complexity

Scientific Reports

2,
723 (2012)

Classical economic theories prescribe specialization of countries industrial production. Inspection of the country databases of exported products shows that this is not the case: successful countries are extremely diversified, in analogy with biosystems evolving in a competitive dynamical environment. The challenge is assessing quantitatively the non-monetary competitive advantage of diversification which represents the hidden potential for development and growth. Here we develop a new statistical approach based on coupled non-linear maps, whose fixed point defines a new metrics for the country Fitness and product Complexity. We show that a non-linear iteration is necessary to bound the complexity of products by the fitness of the less competitive countries exporting them. We show that, given the paradigm of economic complexity, the correct and simplest approach to measure the competitiveness of countries is the one presented in this work. Furthermore our metrics appears to be economically well-grounded.