Abstract
The phenomenal increase in global temperature and variation in climate change are the replications of nature, alarming governments to limit the emissions of greenhouse gases (GHGs) and adopt green innovation and environmental-friendly clean and green technologies. In this paper, we empirically investigate whether there are any changes in excessive consumption of energy from conventional sources, expansion of urbanization, carbon dioxide (CO2) emissions, and economic growth in six different regions, namely, East Asia (EA), South Asia (SA), Southeast Asia (SEA), Central Asia (CA), Eastern Europe (EE), and the Middle East and North Africa (MENA), under the Belt and Road Initiatives of panel data over the period of 1985 to 2017. The empirical methods include a panel co-integration check, heterogeneity test, panel Granger causality test, pooled mean group (PMG), and augmented mean group (AMG). To verify the outcomes, robustness tests were carried out using the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) approaches. Our results confirm that CO2 emissions are primarily influenced by excessive utilization of conventional energy, economic growth, and expansion of urbanization. The findings confirm the co-integrating relationships among the variables in all six regions. Moreover, the panel causality analysis identified a bidirectional causal relationship between energy consumption, economic growth, urbanization, and CO2 emissions. While these results can play an instrumental role in formulating CO2 emission policies among our selected countries, our research can also assist policymakers and governments in other developing countries implement important policy initiatives. In this regard, the findings suggest that the current environment-related polices of Belt and Road Initiatives (BRI) do not efficiently tackle CO2 emissions. In order to achieve the CO2 emission degradation objective, the Belt and Road countries should restructure their environment-related policies by limiting the consumption of conventional energy and expansion of urbanization. The adaptation and establishment of such a panoramic policy program can assist emerging economies to acquire consolidated and environmentally sustainable economic growth.
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Data availability
The datasets analyzed for this study can be found in the World Bank Database; here is the website reference: https://databank.worldbank.org/reports.aspx?source=world-development-indicators
Notes
EA (East Asia), SA (South Asia), SEA (Southeast Asia), CA (Central Asia), MENA (Middle East and North Africa), EE (Eastern Europe).
Abbreviations
- EA:
-
East Asia
- SA:
-
South Asia
- SEA:
-
Southeast Asia
- CA:
-
Central Asia
- EE:
-
Eastern Europe
- MENA:
-
Middle East and North Africa
- CO2 :
-
Carbon dioxide emissions
- GDP:
-
Gross domestic product
- EG:
-
Economic growth
- GHGs:
-
Greenhouse gases
- EC:
-
Energy consumption
- UR:
-
Urbanization
- BRI:
-
Belt and Road Initiatives
- OECD:
-
Organisation of Economic Co-operation and Development
- AMG:
-
Augmented mean group
- PMG:
-
Pooled mean group
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Funding
This research was supported by the Anhui Provincial Natural Science Foundation of China (Grant No. 2108085QG301), Anhui Provincial Social Science Innovation and Development Research Project of China (Grant No. 2020CX062), the 2022 Scientific research project of Anhui Polytechnic University (Grant No. XJKY2022133), and the 2021 Anhui provincial university science and research project (Grant No. SK2021A0290).
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Fang Liu wrote the introduction, literature review, and data collection. The main idea of the original draft belongs to Yasir Khan. He designed the empirical analysis, methodology, revised the final draft software, data analysis and supervision, while Taimoor Hassan, review and editing.
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Highlights
• Excessive consumption of conventional energy and expansion of urbanization lead to CO2 emissions in Belt and Road countries.
• Co-integration methods reveal the existence of a long-run relationship among the study variables.
• PMG and AMG estimations were employed to investigate the connection between CO2 emissions, EC, GDP, and UR.
• The level of CO2 emissions is connected with conventional energy consumption and urbanization.
Appendix
Appendix
SA | SEA | EA | CA | MENA | EE |
---|---|---|---|---|---|
Afghanistan | Indonesia | China | Tajikistan | Iraq | Poland |
Pakistan | Malaysia | Mongolia | Uzbekistan | Iran | Lithuania |
India | Brunei | Kyrgyzstan | Turkey | Estonia | |
Bangladesh | Myanmar | Turkmenistan | Syria | Latvia | |
Nepal | Vietnam | Kazakhstan | Jordan | Czech | |
Bhutan | Cambodia | Kyrgyzstan | Lebanon | Slovakia | |
Sri Lanka | Laos | Israel | Hungary | ||
Maldives | Thailand | Palestine | Slovenia | ||
Saudi Arabia | Croatia | ||||
Yemen | Bosnia | ||||
Oman | Montenegro | ||||
UAE | Serbia | ||||
Qatar | Albania | ||||
Kuwait | Romania | ||||
Bahrain | Bulgaria | ||||
Egypt | North Macedonia | ||||
Russia | |||||
Ukraine | |||||
Belarus | |||||
Georgia | |||||
Azerbaijan | |||||
Armenia | |||||
Moldova |
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Liu, F., Khan, Y. & Hassan, T. Does excessive energy utilization and expansion of urbanization increase carbon dioxide emission in Belt and Road economies?. Environ Sci Pollut Res 30, 60080–60105 (2023). https://doi.org/10.1007/s11356-023-26701-2
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DOI: https://doi.org/10.1007/s11356-023-26701-2