Intelligence artificielle et emploi

Cas de divers secteurs de l’économie tunisienne

Auteurs-es

Mots-clés :

Artificial intelligence, Employment, Slope homogeneity test, Swamy model

Résumé

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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Biographie de l'auteur-e

Chokri TERZI, Université de Carthage, Tunisie

Polytechnic School of Tunisia, LR99ES22, Laboratory of Economics and Industrial Management, 2078, Tunis, Tunisia

Faculty of Economic Sciences and Management of Nabeul, 8000, Nabeul, Tunisia;

 

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Publié-e

2025-06-30

Comment citer

TERZI, C. (2025). Intelligence artificielle et emploi: Cas de divers secteurs de l’économie tunisienne. Journal of Academic Finance, 16(1). Consulté à l’adresse https://www.scientific-society.com/journal/index.php/AF/article/view/900

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