Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/34033
Title: Intelligence Artificielle et Economie Environnementale: Enquête Bibliométrique
Authors: Mohamed Lamine BENDAOUD
Keywords: K Artificial Intelligence
Environmental Economics
Bibliometrics
Content Analysis
Bibliographic Coupling
Issue Date: 2023
Series/Report no.: Volume 9, Numéro 1 2023;
Abstract: This research investigates the role of artificial intelligence (AI) in environmental economics studies. By analyzing 1642 articles, it is found that the number of publications in this field has significantly increased in recent years. The journal "Sustainability (Switzerland)" is identified as the most relevant source. Key research areas include sustainable development, machine learning, and decision-making with AI. The study highlights the potential of AI in environmental resource management. Overall, the findings emphasize the growing importance of AI in shaping the field of environmental economics and its potential for sustainable solutions.
Description: Journal of Quantitative Economics Studies
URI: https://dspace.univ-ouargla.dz/jspui/handle/123456789/34033
ISSN: 2602-5183
Appears in Collections:Number 09 /2023

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