Quantitative Global Carbon Inequality Network
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909244036481024 |
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| author | Guo, Yanming Guan, Charles Ma, Jin |
| author_facet | Guo, Yanming Guan, Charles Ma, Jin |
| contents | International trading networks significantly influence global economic conditions and environmental outcomes. A notable imbalance between economic gains and emissions transfers persists, manifesting as carbon inequality. This study introduces a novel metric, the Ecological Economic Equality Index, integrated with complex network dynamics analysis, to quantitatively evaluate the evolving roles within the global trading network and to pinpoint inequities in trade relationships from 1995 to 2022. Utilising high spatiotemporal resolution data from the Environmentally Extended Multi-regional Input-output model, our findings reveal a widening disparity in carbon inequality and dynamic patterns. This analysis emphasises the gap in regional carbon inequality and identifies unequal trade. The study underscores that carbon inequality is a critical challenge affecting both developing and developed regions, demanding widespread attention and action. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_16092 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantitative Global Carbon Inequality Network Guo, Yanming Guan, Charles Ma, Jin Social and Information Networks Computational Engineering, Finance, and Science International trading networks significantly influence global economic conditions and environmental outcomes. A notable imbalance between economic gains and emissions transfers persists, manifesting as carbon inequality. This study introduces a novel metric, the Ecological Economic Equality Index, integrated with complex network dynamics analysis, to quantitatively evaluate the evolving roles within the global trading network and to pinpoint inequities in trade relationships from 1995 to 2022. Utilising high spatiotemporal resolution data from the Environmentally Extended Multi-regional Input-output model, our findings reveal a widening disparity in carbon inequality and dynamic patterns. This analysis emphasises the gap in regional carbon inequality and identifies unequal trade. The study underscores that carbon inequality is a critical challenge affecting both developing and developed regions, demanding widespread attention and action. |
| title | Quantitative Global Carbon Inequality Network |
| topic | Social and Information Networks Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2406.16092 |