Have a personal or library account? Click to login
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

Figure 1

Evolution of number of articles.
Evolution of number of articles.

Figure 2

Most cited countries.
Most cited countries.

Figure 3

Most cited countries.
Most cited countries.

Figure 4

Average citations per year.
Average citations per year.

Figure 5

Three-field plot.
Three-field plot.

Figure 6

Trend topics.
Trend topics.

Figure 7

Words frequency over time.
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.
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.
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
Journal RSS Feed
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.

Previous articleVolume 20 (2025): Issue 4 (December 2025)