Title |
Green logistics and circular economy in alleviating CO2 emissions: Does waste generation and GDP growth matter in EU countries? |
ID_Doc |
5809 |
Authors |
Sikder, M; Wang, C; Rahman, MM; Yeboah, FK; Alola, AA; Wood, J |
Title |
Green logistics and circular economy in alleviating CO2 emissions: Does waste generation and GDP growth matter in EU countries? |
Year |
2024 |
Published |
|
DOI |
10.1016/j.jclepro.2024.141708 |
Abstract |
The integration of Green Logistics (GL) and Circular Economy (CE) have been recognized as critical concepts for achieving sustainable economic and environmental performance. However, there is a lack of understanding on the combine impacts of CE and GL in alleviating CO 2 emissions in pioneering nations relying on these concepts. This study examines the role of CE and GL sustainable in curbing CO 2 emissions of 13 developed European Union (EU) countries from 2000 to 2020. The neoclassical growth and IPAT models, including the pool mean autoregressive distributed lags (PMG-ARDL) and the vector error correction model (VECM) are employed to estimate the short- and long-run effects and heterogeneous causal relationships. The long-run results reveal that CE and GL can mitigate CO 2 (carbon dioxide) emissions, while the generation of municipal waste (GMW) has negative impact on the environment. Moreover, the long-run relationship between economic growth, CE, GL, and GMW validates the Environmental Kuznets Curve (EKC) hypothesis. The study also confirms a bidirectional causality between CE, GL, and CO 2 emissions over the long run. This study proposes a model for assessing the impact of CE and GL initiatives on environmental performance and sustainability in both pioneering developed regions and emerging economies yet to embrace green growth concepts. |
Author Keywords |
Environmental sustainability; Logistics industry; Econometric approach; Developed countries; Causal relationship; Low-carbon economy |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:001217654700001 |
WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
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