Work

Reproducibility Package for Multidimensional Assessment of CO₂ Emission Drivers and Temporal Dynamics Using World Bank Indicators and Machine Learning Approaches

Year: 2026

Type: dataset

Abstract: This reproducibility package contains the analysis code, preprocessing scripts, indicator metadata, processed analytical data, and computational notebooks used in the study. The package includes procedures for data preprocessing, Principal Component Analysis (PCA), country clustering, predictive modeling using Random Forest and ElasticNet, SHAP-based feature importance analysis, and Hidden Markov Model (HMM) analysis of CO₂ emission dynamics. The original World Development Indicators (WDI) data are publicly available from the World Bank.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21887034

Authors: Ismayilova, Nigar, Alkaabi, Alyazia, Rahif, Haider, THANGAVELU, MURUGAN, Orujova, Narmin, Abbasova, Hurnusa

Institution: Azerbaijan State Oil and Industry University

Language: English

Topic: Energy, Environment, Economic Growth

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7202212866

Cites:

Cited by:

Related to: 10