Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

ABSTRACT This study evaluates the factors contributing to carbon emissions in China between 2002 and 2021, considering the impact of GDP growth, shocks in oil prices, trade liberalization and energy use. Using the dynamic simulated ARDL (SARDL) model, we indicate a long‐term link between trade liberalization, oil prices (WTI) shocks, GDP growth, energy use and CO 2 . The novel SARDL revealed a direct relationship between trade liberalization and CO 2 in China in the long term. However, the results show a negative impact of WTI shocks on CO 2 emissions. The study suggests that renewable energy (RE) significantly and negatively affects China's CO 2 emissions. In addition, the findings conclude that, in the case of China, GDP has an insignificant long‐run relationship with CO 2 emissions. The outcomes provide valuable insights for policymakers, researchers and industry stakeholders to enhance RE and promote sustainable energy practices.

Authors

Institutions

Publication Details

Journal
Geological Journal
Published
2024-09-15
DOI
https://doi.org/10.1002/gj.5055
Citations
4
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
4.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

Abdelmohsen A. Nassani, Irfan Ullah, Kamel Si Mohammed, Andrea Gatto et al.
4 citations
Geological Journal
Energy, Environment, Economic Growth
4.52
article

Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

Abdelmohsen A. Nassani, Irfan Ullah, Kamel Si Mohammed, Andrea Gatto, Buhari Doğan, Magdalena Rãdulescu
article en
4 citations

Abstract

ABSTRACT This study evaluates the factors contributing to carbon emissions in China between 2002 and 2021, considering the impact of GDP growth, shocks in oil prices, trade liberalization and energy use. Using the dynamic simulated ARDL (SARDL) model, we indicate a long‐term link between trade liberalization, oil prices (WTI) shocks, GDP growth, energy use and CO 2 . The novel SARDL revealed a direct relationship between trade liberalization and CO 2 in China in the long term. However, the results show a negative impact of WTI shocks on CO 2 emissions. The study suggests that renewable energy (RE) significantly and negatively affects China's CO 2 emissions. In addition, the findings conclude that, in the case of China, GDP has an insignificant long‐run relationship with CO 2 emissions. The outcomes provide valuable insights for policymakers, researchers and industry stakeholders to enhance RE and promote sustainable energy practices.

Geological JournalVol. 59(11)
Lucian Blaga University of Sibiu (RO), INTI International University (MY), Süleyman Demirel Üniversitesi (TR), Nanjing University of Information Science and Technology (CN), Azerbaijan State University of Economics (AZ), Korea University of International Studies (KR), Wenzhou-Kean University (CN), Université de ain Témouchent (DZ), Centre Européen de Recherche en Economie Financière et Gestion des Entreprises, Université de Lorraine (FR), Middle East University (JO), College of Business Administration (LV)
King Saud University
Openalex Percentile: Top 5%
Energy, Environment, Economic Growth
4.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.