Template-Type: ReDIF-Article 1.0
Author-Name: Martins, Tailon
Author-Name-First: Tailon
Author-Name-Last: Martins
Author-Email: martins.tailon@gmail.com
Author-Workplace-Name: Technology Center, Federal University of Santa Maria (UFSM), Santa Maria, Brazil; & The Logistics Engineering Program, Technological University of Uruguay (UTEC), Northern Regional Technological Institute, Rivera, Uruguay
Author-Name: Castro Barreto, Alisson
Author-Name-First: Alisson
Author-Name-Last: Castro Barreto
Author-Email: alisson747@gmail.com
Author-Workplace-Name: Technology Center, Federal University of Santa Maria (UFSM), Santa Maria, Brazil
Author-Name: Reichert, Bianca
Author-Name-First: Bianca
Author-Name-Last: Reichert
Author-Email: bianca.reichert@hotmail.com
Author-Workplace-Name: Technology Center, Federal University of Santa Maria (UFSM), Santa Maria, Brazil
Author-Name: Mendonça Souza, Francisca
Author-Name-First: Francisca
Author-Name-Last: Mendonça Souza
Author-Email: kikamatcom@gmail.com
Author-Workplace-Name: School of Business Sciences, Polytechnic Institute of Setúbal (ESCE-IPS), Setúbal, Portugal
Author-Name: Vicini, Lorena
Author-Name-First: Lorena
Author-Name-Last: Vicini
Author-Email: vicini22@gmail.com
Author-Workplace-Name: Department of Statistics, Federal University of Santa Maria (UFSM), Santa Maria, Brazil
Author-Name: Mendonça Souza, Adriano
Author-Name-First: Adriano
Author-Name-Last: Mendonça Souza
Author-Email: amsouza.sm@gmail.com
Author-Workplace-Name: Department of Statistics, Federal University of Santa Maria (UFSM), Santa Maria, Brazil
Title: Dynamic Association between Non-Renewable Energy Matrix, Carbon Dioxide Emissions, and Economic Growth in G7 Countries: A Contribution to the Sustainable Development Goals
Abstract: This study contributes to the Sustainable Development Goals (SDGs) and the 2030 Agenda by examining CO2 emissions and economic growth in G7 countries. The primary aim is to explore connections among coal, oil, and natural gas consumption, predicting both CO2 emissions and economic growth despite external disruptions. The research employs vector autoregressive (VAR) and Bayesian autoregressive (BVAR) models, alongside the Granger causality test. The study tests hypotheses: (i) Fossil fuel consumption drives CO2 emissions; (ii) Fossil fuel consumption influences economic growth; (iii) A causal link exists between CO2 emissions and economic growth. Air pollution analysis (hypothesis i) indicates natural gas associates with CO2 emissions in Germany, the USA, and Italy; coal links to CO2 emissions in Canada, the USA, and Japan; CO2 emissions due to oil connect to Canada, the USA, France, Italy, Japan, and the UK. Hypothesis ii shows natural gas consumption in Canada, the USA, France, Italy, and coal consumption in France, Italy, and the UK correlate with GDP. No GDP correlation with oil consumption is seen. Hypothesis iii reveals a two-way relationship only in Germany CO2 emissions impact GDP and vice versa. Forecasts suggest external shocks lead to variable fluctuations up to seven periods ahead.
Keywords: SDGs, Fossil Fuels, CO2 Emissions, Gross Domestic Product, VAR/BVAR Models
Journal: International Journal of Energy Economics and Policy
Pages: 204-216
Volume: 15
Issue: 5
Year: 2025
Month: 08
DOI: 10.32479/ijeep.15000
File-URL: https://econjournals.com/index.php/ijeep/article/download/15000/9142
File-Format: application/pdf
Handle: RePEc:eco:journ2:v:15:y:2025:i:5:id:15000