In this paper we provide a summary and a guide to the literature for a new line of research which goes under the name of Economic Complexity and is partly performed incollaboration with INET.This line of research portrays economic growth as an evolutive process of ecosystems of technologies and industrial capabilities. Complex systems analysis, simulation, systems science methods, and big data capabilities offer new opportunities to empirically map technology and capability ecosystems of countries and industrial sectors, analyse their structure, understand their dynamics and measure economic complexity. This approach provides a new perspective for data-driven fundamental economics in a strongly connected, globalised world.

New Metrics for Economic Complexity: Measuring the Intangible Growth Potential of Countries

L. Pietronero;M. Cristelli;A. Tacchella
2013

Abstract

In this paper we provide a summary and a guide to the literature for a new line of research which goes under the name of Economic Complexity and is partly performed incollaboration with INET.This line of research portrays economic growth as an evolutive process of ecosystems of technologies and industrial capabilities. Complex systems analysis, simulation, systems science methods, and big data capabilities offer new opportunities to empirically map technology and capability ecosystems of countries and industrial sectors, analyse their structure, understand their dynamics and measure economic complexity. This approach provides a new perspective for data-driven fundamental economics in a strongly connected, globalised world.
2013
Istituto dei Sistemi Complessi - ISC
Economic Complexity
Big Data
Ecosystems
Bipartite Network
New Metrics
File in questo prodotto:
File Dimensione Formato  
prod_341259-doc_106764.pdf

accesso aperto

Descrizione: New Metrics for Economic Complexity: Measuring the Intangible Growth Potential of Countries
Tipologia: Documento in Pre-print
Licenza: Nessuna licenza dichiarata (non attribuibile a prodotti successivi al 2023)
Dimensione 1.14 MB
Formato Adobe PDF
1.14 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/299734
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact