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DC Field | Value | Language |
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dc.contributor.author | Mohamed Lamine BENDAOUD | - |
dc.date.accessioned | 2023-09-14T10:18:32Z | - |
dc.date.available | 2023-09-14T10:18:32Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2602-5183 | - |
dc.identifier.uri | https://dspace.univ-ouargla.dz/jspui/handle/123456789/34033 | - |
dc.description | Journal of Quantitative Economics Studies | en_US |
dc.description.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. | en_US |
dc.language.iso | other | en_US |
dc.relation.ispartofseries | Volume 9, Numéro 1 2023; | - |
dc.subject | K Artificial Intelligence | en_US |
dc.subject | Environmental Economics | en_US |
dc.subject | Bibliometrics | en_US |
dc.subject | Content Analysis | en_US |
dc.subject | Bibliographic Coupling | en_US |
dc.title | Intelligence Artificielle et Economie Environnementale: Enquête Bibliométrique | en_US |
dc.type | Article | en_US |
Appears in Collections: | Number 09 /2023 |
Files in This Item:
File | Description | Size | Format | |
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JQES0936F.pdf | 482,53 kB | Adobe PDF | View/Open |
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