Luciano Saraceno
Economic Complexity: exploration of ranking metrics and investigation of causality between Complexity and Gross Domestic Product per capita.
Rel. Francesco Laio, Luca Ridolfi, Carla Sciarra. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Civile, 2020
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Abstract
Several political economists (e.g. Ricardo, Smith) tried to explain the economic growth phenomenon without reaching a univocal conclusion. In recent years, a new discipline called Economic Complexity is emerging over classical economic theories, trying to give an answer to the fateful question “what is the secret of the wealth of nations?”. According to Economic Complexity theories, it is possible to estimate the industrial competitiveness of a country just looking at its export basket, namely the products the country is able to export. In this approach, the trade data regarding exports is interpreted as a bipartite network in which countries are connected to the product they export.
In order to classify countries and products belonging to this bipartite network, different algorithms have been developed, mutually correlating the complexity of countries to the one of products
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