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AI challenges for environmental economics: A bibliometric analysis Cover

AI challenges for environmental economics: A bibliometric analysis

Management & Marketing
Volume 20 (2025): Issue 4 (December 2025)
By: Giani Gradinaru,  Bogdan Florin Matei,  Andreea Ionica and  Todor Yalamov  
Open Access
|Dec 2025
Figures & tables

Figures & Tables

Figure 1

Evolution of number of articles.

Figure 2

Most cited countries.

Figure 3

Most cited countries.

Figure 4

Average citations per year.

Figure 5

Three-field plot.

Figure 6

Trend topics.

Figure 7

Words frequency over time.

Figure 8

Keyword co-occurrence network showing three major thematic clusters: (1) artificial intelligence and engineering processes, (2) machine learning and statistical analytics, and (3) sustainability-oriented economic and environmental applications.

Figure 9

Thematic map of AI in environmental economics, displaying the strategic positioning of research themes according to centrality and development intensity.
DOI: https://doi.org/10.2478/mmcks-2025-0026 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206
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Language: English
Page range: 110 - 118
Submitted on: Dec 4, 2025
Accepted on: Dec 16, 2025
Published on: Dec 31, 2025
Published by: Society for Business Excellence
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Artificial intelligence,
Environmental economics,
Bibliometric analysis,
Sustainability,
Climate change,
Resource allocation,
Predictive modeling,
Optimization algorithms,
Data analytics
Related subjects:
Business and economics,
Business management,
Marketing, sales, customer relations,
Management, organization, corporate governance,
Business development, change management, cooperation,
Entrepreneurship

© 2025 Giani Gradinaru, Bogdan Florin Matei, Andreea Ionica, Todor Yalamov, published by Society for Business Excellence
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2025): Issue 4 (December 2025)
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