Applying Artificial Intelligence in Integrating ESG into Economic Forecasting Using Extreme Gradient Boosting (XGBoost)

In recent decades, the concept of ESG (Environmental, Social, and Governance) has gained significant importance in the decision-making processes of organizations, influencing investments, financial assessments and economic strategies. The integration of ESG factors into economic forecasts is essenti...

Full description

Bibliographic Details
Published in:	Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
Main Authors:	Manuela-Violeta Tureatca, Valentin Sava, Lidia Musat (Ciobota)
Format:	Article
Language:	English
Published:	Dunarea de Jos University of Galati 2025-09-01
Subjects:	economic forecasting artificial intelligence xgboost
Online Access:	https://eia.feaa.ugal.ro/images/eia/2025_2/Tureatca_et_al.pdf

Similar Items

Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method
by: Dylan Norbert Gono, et al.
Published: (2023-09-01)

Diabetes Risk Prediction Using Extreme Gradient Boosting (XGBoost)
by: Kartina Diah Kusuma Wardhani, et al.
Published: (2022-12-01)

Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost
by: Thanapong Champahom, et al.
Published: (2025-03-01)

Wind Speed Forecasting Based on Extreme Gradient Boosting
by: Ren Cai, et al.
Published: (2020-01-01)

Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)
by: Kartina Diah Kusuma Wardani, et al.
Published: (2023-08-01)

Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin
by: Reza Seifi Majdar, et al.
Published: (2025-06-01)

Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm
by: Yonghui Duan, et al.
Published: (2024-03-01)

Daily Streamflow Forecasting in Mountainous Catchment Using XGBoost, LightGBM and CatBoost
by: Robert Szczepanek
Published: (2022-12-01)

Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines
by: Ian B. Benitez, et al.
Published: (2023-11-01)

Time Series Analysis and Forecasting of Solar Generation in Spain Using eXtreme Gradient Boosting: A Machine Learning Approach
by: Candra Saigustia, et al.
Published: (2023-11-01)

A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
by: Matthew Wiens, et al.
Published: (2025-03-01)

Day-Ahead Net Load Forecasting for Renewable Integrated Buildings Using XGBoost
by: Spencer Kerkau, et al.
Published: (2025-03-01)

Bitcoin Price Forecasting using Seasonal Log-Differenced XGBoost with 2014–2025 Data
by: Muhammmad Akbar
Published: (2025-11-01)

Understanding the Effects of Influential Factors on Housing Prices by Combining Extreme Gradient Boosting and a Hedonic Price Model (XGBoost-HPM)
by: Sheng Li, et al.
Published: (2021-05-01)

GENE MARKERS IDENTIFICATION OF ACUTE MYOCARDIAL INFARCTION DISEASE BASED ON GENOMIC PROFILING THROUGH EXTREME GRADIENT BOOSTING (XGBoost)
by: Rohmatul Fajriyah, et al.
Published: (2024-10-01)

Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model
by: Xuzhi Deng, et al.
Published: (2022-11-01)

Lung Cancer Classification Using the Extreme Gradient Boosting (XGBoost) Algorithm and Mutual Information for Feature Selection
by: Regitha Zizilia, et al.
Published: (2025-09-01)

Copy number variation in plasma as a tool for lung cancer prediction using Extreme Gradient Boosting (XGBoost) classifier
by: Daping Yu, et al.
Published: (2020-01-01)

Hybrid Forecasting for Energy Consumption in South Africa: LSTM and XGBoost Approach
by: Thokozile Mazibuko, et al.
Published: (2025-08-01)

A Hybrid Wind Power Forecasting Model with XGBoost, Data Preprocessing Considering Different NWPs
by: Quoc Thang Phan, et al.
Published: (2021-01-01)

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model
by: Shuang Zeng, et al.
Published: (2025-01-01)

A New Robust Lunar Landing Selection Method Using the Bayesian Optimization of Extreme Gradient Boosting Model (BO-XGBoost)
by: Shibo Wen, et al.
Published: (2024-09-01)

Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery
by: Guoli Zhou, et al.
Published: (2022-07-01)

Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model
by: Hao Ma, et al.
Published: (2023-02-01)

Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models
by: Onural Ozhan, et al.
Published: (2023-03-01)

Augmented Data and XGBoost Improvement for Sales Forecasting in the Large-Scale Retail Sector
by: Alessandro Massaro, et al.
Published: (2021-08-01)

Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification
by: Ahmad Ubai Dullah, et al.
Published: (2025-01-01)

Analysis of corn price forecast in China based on Lasso-XGBoost-SHAP
by: Wenming Cheng, et al.
Published: (2025-12-01)

A novel hybrid GRU-XGBoost model for day-ahead photovoltaic generation forecasting in microgrids
by: Ahmed Khayat, et al.
Published: (2025-09-01)

Daily Peak Load Prediction Method Based on XGBoost and MLR
by: Bin Cao, et al.
Published: (2025-10-01)

A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting
by: Jiawen Li, et al.
Published: (2024-09-01)

Türkiye'de Ekonomik Şoklar ve Krizler Bağlamında Enflasyon Öngörüsü: XGBOOST ve ARMA Yöntemlerinin Karşılaştırması
by: Savaş Gayaker
Published: (2024-12-01)

Developing and Preliminary Testing of a Machine Learning-Based Platform for Sales Forecasting Using a Gradient Boosting Approach
by: Antonio Panarese, et al.
Published: (2022-10-01)

An Ensemble Model of Attention-Enhanced N-BEATS and XGBoost for District Heating Load Forecasting
by: Shaohua Yu, et al.
Published: (2025-07-01)

Modelling of spatially correlated weather-based electricity forecasting using combined frequency-based signal decomposition with optimized boosting approach
by: Indra A. Aditya, et al.
Published: (2025-08-01)

Hourly Particulate Matter (PM<sub>10</sub>) Concentration Forecast in Germany Using Extreme Gradient Boosting
by: Stefan Wallek, et al.
Published: (2024-04-01)

Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm
by: Nipun Bansal, et al.
Published: (2023-06-01)

Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost
by: Xiaotong Yao, et al.
Published: (2022-01-01)

Short-Term Electrical Load Forecasting Based on XGBoost Model
by: Hristo Ivanov Beloev, et al.
Published: (2025-09-01)

A Hybrid Machine Learning Framework for Daily Dairy Demand Forecasting: Integrating SARIMAX and XGBoost for Seasonal Production Optimization
by: Mazin Obaidat, et al.
Published: (2025-01-01)