Title |
A New Metrics for Countries' Fitness and Products' Complexity
|
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Published in |
Scientific Reports, October 2012
|
DOI | 10.1038/srep00723 |
Pubmed ID | |
Authors |
Andrea Tacchella, Matthieu Cristelli, Guido Caldarelli, Andrea Gabrielli, Luciano Pietronero |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 12% |
Italy | 3 | 12% |
United States | 2 | 8% |
Poland | 1 | 4% |
France | 1 | 4% |
Turkey | 1 | 4% |
Australia | 1 | 4% |
India | 1 | 4% |
Unknown | 13 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 77% |
Scientists | 6 | 23% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | <1% |
Portugal | 2 | <1% |
Netherlands | 2 | <1% |
United Kingdom | 2 | <1% |
Switzerland | 1 | <1% |
South Africa | 1 | <1% |
Brazil | 1 | <1% |
Belgium | 1 | <1% |
Luxembourg | 1 | <1% |
Other | 0 | 0% |
Unknown | 289 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 69 | 23% |
Researcher | 48 | 16% |
Student > Master | 36 | 12% |
Student > Doctoral Student | 20 | 7% |
Student > Bachelor | 18 | 6% |
Other | 50 | 17% |
Unknown | 62 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 69 | 23% |
Physics and Astronomy | 37 | 12% |
Business, Management and Accounting | 24 | 8% |
Computer Science | 18 | 6% |
Social Sciences | 14 | 5% |
Other | 57 | 19% |
Unknown | 84 | 28% |