l'istituto

L’eredità di Enrico Fermi. Le sfide del futuro

bandi e avvisi

STIAMO CERCANDO...
leggi tutto

terza missione

Il CREF nasce con la duplice anima di Centro di Ricerca e di Museo Storico, con l’intento di conservare e diffondere la memoria di Enrico Fermi, oltre che favorire un’ampia diffusione e comunicazione della cultura scientifica.

news

Pubblicazioni, novità, rassegna stampa

Per interviste, riprese e informazioni scrivere a comunicazione@cref.it

ritratti a disegno dei tre premi nobel per la fisica 2025

le persone

la ricerca

Il CREF promuove linee di ricerca originali e di grande impatto, improntate ai metodi della fisica, ma con un forte carattere interdisciplinare e in relazione con i principali problemi della moderna società della conoscenza.

NEWS e pubblicazioni

Economic Complexity and Growth: A Perspective from New Structural Economics

CREF Talk  – Aula Fermi – January 27, 2025 – 2.30 pm

 

Economic Complexity and Growth: A Perspective from New Structural Economics

Abstract: We introduce the Endogenous Structural Index (ESI), a novel metric for economic complexity that assesses a country’s capacity to produce complex products. The ESI enhances existing models by integrating the alignment of industrial structure with factor endowments structure, a critical aspect often overlooked due to the traditional assumption that no distortions exist in production so that Revealed Comparative Advantage (RCA) faithfully represents a country’s actual production capabilities for a product. We demonstrate that, in the absence of economic distortions, a country’s industrial structure shall be congruent with the optimal structure determined by its factor endowments and the varying factor intensities across industries, allowing the ESI to approximate well-known complexity indices such as the Economic Complexity Index and the Fitness Index. Through Monte Carlo simulations, we illustrate how the ESI captures the decline in an economy’s overall capacity due to mismatches between factor endowments and industrial structure. Finally, regression analyses reveal that the ESI performs particularly well in predicting economic growth, especially in non-OECD countries.

The speaker: Yumin Hu is Ph. D. Candidate in Economics, Peking University, China
• Thesis Advisor: Justin Yifu Lin and Mingzhi Jimmy Xu
• Research Interests: International trade, Urban economics, and Economic Geography

 

Condividi questo articolo: