Intelligence artificielle et emploi
Cas de divers secteurs de l’économie tunisienne
Mots-clés :
Artificial intelligence, Employment, Slope homogeneity test, Swamy modelRésumé
Objet : Le but de cet article est de revoir la relation entre intelligence artificielle (IA) et l’emploi pour onze secteurs de l’économie tunisienne durant la période entre 2010-2022.
Méthodologie : Afin d’étudier la variabilité qui capture l’impact des barrières administratives sur les investissements dans un secteur particulier d’activité, nous appliquons un modèle de régression linéaire de coefficients aléatoires de Swamy, qui tient compte des questions d’hétérogénéité transversale.
Résultats : Les résultats empiriques montrent un effet négatif global de l’IA sur l’emploi. Une analyse sectorielle a mis en évidence un effet positif non significatif pour les industries de l’énergie, de l’agriculture et de l’alimentation.
Originalité / pertinence : Cette étude trouve son originalité dans l’application de la méthode de Swamy pour prendre en compte l’hétérogénéité des secteurs de l’économie tunisienne dans l’adhésion à l’IA.
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