The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches
Abstract Geopolitical tensions, including the Russia-Ukraine conflict, ongoing Middle-Eastern wars, and the post-Cold War dynamics between the USA and Russia, have contributed to significant global political instability. These risks disrupt economic growth, destabilize energy supply chains, and fost...
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| Format: | Article |
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Springer
2025-02-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-00872-z |
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| author | Md. Idris Ali Md. Atikur Rahaman Mohammed Julfikar Ali Md. Ferdausur Rahman |
| author_facet | Md. Idris Ali Md. Atikur Rahaman Mohammed Julfikar Ali Md. Ferdausur Rahman |
| author_sort | Md. Idris Ali |
| collection | DOAJ |
| description | Abstract Geopolitical tensions, including the Russia-Ukraine conflict, ongoing Middle-Eastern wars, and the post-Cold War dynamics between the USA and Russia, have contributed to significant global political instability. These risks disrupt economic growth, destabilize energy supply chains, and foster economic uncertainty, often prioritizing energy security over environmental sustainability. Existing literature inadequately addresses how geopolitical risks interact with environmental sustainability, particularly within developed economies like Canada. To bridge this gap, this study examines the role of per capita income on environmental outcomes under the Environmental Kuznets Curve (EKC) framework, explicitly incorporating geopolitical risks as a critical determinant. Using Canadian time series data spanning from 1980 to 2022, this research employs the autoregressive distributed lag (ARDL) estimation technique to explore short- and long-term cointegrating relationships among key variables, including economic growth, energy consumption, trade openness, foreign direct investment (FDI), ICT development, and financial development. The findings confirm the inverted U-shaped EKC hypothesis for Canada, indicating that economic growth initially exacerbates carbon emissions (CO2) before leading to environmental improvements at higher income levels. Geopolitical risks are found to positively contribute to CO2 emissions, emphasizing their role as a barrier to achieving environmental sustainability. To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. Additionally, the Toda-Yamamoto causality test identifies directional causal relationships among the variables. Policy recommendations emphasize the need for Canada to implement targeted strategies that mitigate the impact of geopolitical risks on environmental outcomes. Specifically, the study advocates for: (1) diversifying energy sources to reduce reliance on geopolitically sensitive regions, (2) investing in renewable energy technologies to ensure sustainable economic growth, and (3) enhancing trade policies to prioritize low-carbon technologies. |
| format | Article |
| id | doaj-art-667a35c0aba64b30b948d41062e96653 |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-667a35c0aba64b30b948d41062e966532025-02-09T12:04:50ZengSpringerDiscover Sustainability2662-99842025-02-016112410.1007/s43621-025-00872-zThe growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approachesMd. Idris Ali0Md. Atikur Rahaman1Mohammed Julfikar Ali2Md. Ferdausur Rahman3Environmental Applied Science and Management, Toronto Metropolitan UniversitySchool of Economics and Management, Jiujiang UniversityDepartment of Business Administration, Presidency UniversityBangladesh Military AcademyAbstract Geopolitical tensions, including the Russia-Ukraine conflict, ongoing Middle-Eastern wars, and the post-Cold War dynamics between the USA and Russia, have contributed to significant global political instability. These risks disrupt economic growth, destabilize energy supply chains, and foster economic uncertainty, often prioritizing energy security over environmental sustainability. Existing literature inadequately addresses how geopolitical risks interact with environmental sustainability, particularly within developed economies like Canada. To bridge this gap, this study examines the role of per capita income on environmental outcomes under the Environmental Kuznets Curve (EKC) framework, explicitly incorporating geopolitical risks as a critical determinant. Using Canadian time series data spanning from 1980 to 2022, this research employs the autoregressive distributed lag (ARDL) estimation technique to explore short- and long-term cointegrating relationships among key variables, including economic growth, energy consumption, trade openness, foreign direct investment (FDI), ICT development, and financial development. The findings confirm the inverted U-shaped EKC hypothesis for Canada, indicating that economic growth initially exacerbates carbon emissions (CO2) before leading to environmental improvements at higher income levels. Geopolitical risks are found to positively contribute to CO2 emissions, emphasizing their role as a barrier to achieving environmental sustainability. To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. Additionally, the Toda-Yamamoto causality test identifies directional causal relationships among the variables. Policy recommendations emphasize the need for Canada to implement targeted strategies that mitigate the impact of geopolitical risks on environmental outcomes. Specifically, the study advocates for: (1) diversifying energy sources to reduce reliance on geopolitically sensitive regions, (2) investing in renewable energy technologies to ensure sustainable economic growth, and (3) enhancing trade policies to prioritize low-carbon technologies.https://doi.org/10.1007/s43621-025-00872-zEconomic growthCarbon emissionsGeopolitical risksEnergy consumptionEKCCanada |
| spellingShingle | Md. Idris Ali Md. Atikur Rahaman Mohammed Julfikar Ali Md. Ferdausur Rahman The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches Discover Sustainability Economic growth Carbon emissions Geopolitical risks Energy consumption EKC Canada |
| title | The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches |
| title_full | The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches |
| title_fullStr | The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches |
| title_full_unstemmed | The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches |
| title_short | The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches |
| title_sort | growth environment nexus amid geopolitical risks cointegration and machine learning algorithm approaches |
| topic | Economic growth Carbon emissions Geopolitical risks Energy consumption EKC Canada |
| url | https://doi.org/10.1007/s43621-025-00872-z |
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