Quanto è "complessa" la crescita? Un’analisi panel in 27 paesi Europei

Titolo Rivista CORPORATE GOVERNANCE AND RESEARCH & DEVELOPMENT STUDIES
Autori/Curatori Angelo Castaldo, Andrea Billi, Gaia Orzi
Anno di pubblicazione 2020 Fascicolo 2020/1 Lingua Italiano
Numero pagine 19 P. 115-133 Dimensione file 0 KB
DOI 10.3280/cgrds1-2020oa10104
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Il presente lavoro mira a costruire un ponte tra la letteratura sulla complessità economica e i modelli teorici della crescita endogena. I modelli tradizionali di crescita, infatti, sembrano sottostimare l’impatto generato dalle interazioni sistemiche dei diversi fattori di crescita. Per colmare tale gap, si adatta il modello di Mankiw et al. (1992) al fine di poter includere una misura di complessità economica (i.e., Economic Complexity Index - ECI). L’analisi empirica è riferita ad un panel (2007-2018) di 27 paesi dell’area europea. Con il ricorso ad un approccio tradizionale (panel a effetti fissi e random), dinamico auto-regressivo (system-GMM) e semi-parametrico ad effetti fissi, l’analisi condotta evidenzia che il livello di complessità dei sistemi economici incide significativamente sui livelli di crescita economica e che la relazione funzionale è di tipo non lineare;

Keywords:Complessità economica; Modelli di crescita endogena; Indice di complessità economica; GMM; modello semi-parametrico a effetti fissi.

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Angelo Castaldo, Andrea Billi, Gaia Orzi, Quanto è "complessa" la crescita? Un’analisi panel in 27 paesi Europei in "CORPORATE GOVERNANCE AND RESEARCH & DEVELOPMENT STUDIES" 1/2020, pp 115-133, DOI: 10.3280/cgrds1-2020oa10104