UNCOVERING THE SEMANTIC ARCHITECTURE OF GREEN ECONOMY RESEARCH IN AFRICA: A LEXICOMETRIC PERSPECTIVE
Mots-clés :
Green economy, Africa, semantic architecture, IRaMuTeQRésumé
This article examines the semantic architecture of green economy research in Africa through a lexicometric approach. Based on a textual corpus processed with IRaMuTeQ, the study analyzes lexical salience, descending hierarchical classification, factorial correspondence analysis, and similarity networks to identify the main semantic structures of the field. The results reveal a cohesive lexical core centered on sustainable development, green economy, Africa, South Africa, environmental economics, energy, and emissions. They also highlight three major discursive registers: a policy-developmental register, a techno-energetic register, and an econometric register focused on emissions and macroeconomic variables. The study shows that green economy research in Africa forms a hybrid discursive field where normative, technical, and empirical rationalities intersect. It contributes by providing a deeper semantic reading of a literature often described only through thematic inventories.
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Merci de créditer les auteurs lors de toute citation : Lina Nadiri , Driss HELMI (2026)

Ce travail est disponible sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International.









