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Oct 10

Critical minerals and countries’ mining competitiveness: An estimate through economic complexity techniques

  • octubre 10, 2023
  • SIDPA
  • Encuentro II, Encuentro III, Encuentros, Encuentros 2023

PRESENTAN: María de las Mercedes Menéndez (UNU MERIT – Maastricht University), Jorge Valverde Carbonell (UNU MERIT – Maastricht University) y Carlo Pietrobelli (UNU MERIT – Maastricht University; Roma Tre)

Jueves 19 de octubre

Horario: 12 a 13.30

Presenta
María de las Mercedes Menéndez

UNU MERIT – Maastricht University

Presenta
Jorge Valverde Carbonell

UNU MERIT – Maastricht University

Presenta
Carlo Pietrobelli

UNU MERIT – Maastricht University; Roma Tre

Minerals’ criticality and countries’ mining competitiveness are two dimensions that have gained relevance in the economic and policy agenda due to the key role of minerals in the energy transition. To a certain extent, these product-country dimensions can be seen as two faces of the same coin, which intertwine and simultaneously co-determine each other. Therefore, economic complexity techniques appear as a useful methodology to simultaneously estimate both dimensions.

This paper employs economic complexity techniques to build an unsupervised Fitness-Criticality algorithm, that allows simultaneously estimating countries’ mining competitiveness (Fitness Mining Index) and minerals’ criticality (Criticality Minerals Index). Our indexes are efficient in terms of the set of information employed, and do not rely on subjective perspectives and assessments. The results of the estimates suggest that South Africa, Russia, the United States, Norway, Canada, Australia and Chile are the most competitive countries. Moreover, the Platinum Group Metals, Lithium, Silicon and Rare Earths appear as the most critical minerals. These results are consistent with other methodologies employed by different organizations that separately estimate both dimensions and derive countries’ and minerals’ rankings.

Descargar: Critical minerals and countries’ mining competitiveness: An estimate through economic complexity techniques

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