A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications
<p dir="ltr">This study offers a comprehensive analysis of the distribution, evolution, and driving factors of CO<sub>2</sub> emissions from 1990 to 2016 at multiple spatial scales. Utilizing 26 indicators encompassing various facets of CO<sub>2</sub> emission...
محفوظ في:
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| مؤلفون آخرون: | , , , |
| منشور في: |
2023
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| _version_ | 1864513530999341056 |
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| author | Ahmed M. EI Kenawy (17746944) |
| author2 | Talal Al‐Awadhi (17746947) Meshal Abdullah (17746950) Rana Jawarneh (17746953) Ammar Abulibdeh (15785928) |
| author2_role | author author author author |
| author_facet | Ahmed M. EI Kenawy (17746944) Talal Al‐Awadhi (17746947) Meshal Abdullah (17746950) Rana Jawarneh (17746953) Ammar Abulibdeh (15785928) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahmed M. EI Kenawy (17746944) Talal Al‐Awadhi (17746947) Meshal Abdullah (17746950) Rana Jawarneh (17746953) Ammar Abulibdeh (15785928) |
| dc.date.none.fl_str_mv | 2023-11-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/gch2.202300184 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Preliminary_Assessment_of_Global_CO_sub_2_sub_Spatial_Patterns_Temporal_Trends_and_Policy_Implications/24954756 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Earth sciences Climate change science Geoinformatics Economics Applied economics Environmental sciences Climate change impacts and adaptation Human society Policy and administration Spatial Patterns Temporal Trends Policy Implications CO2 principal component analysis (PCA) empirical orthogonal functions (EOFs) |
| dc.title.none.fl_str_mv | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This study offers a comprehensive analysis of the distribution, evolution, and driving factors of CO<sub>2</sub> emissions from 1990 to 2016 at multiple spatial scales. Utilizing 26 indicators encompassing various facets of CO<sub>2</sub> emissions, it is employed principal component analysis (PCA) and empirical orthogonal functions (EOFs) to identify the dominant characteristics of global CO<sub>2</sub> emissions. This model retained three core components, accounting for 93% of the global CO<sub>2</sub> variation, reflecting emission trajectories and associated economic metrics, such as Gross domestic product (GDP). The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO<sub>2</sub> emissions are pinpointed. Notably, the leading contributors are found among developed nations (e.g., the United States, Canada, Japan), Gulf states (e.g., Saudi Arabia, Qatar), and emerging economies (e.g., China, Brazil, Mexico). Furthermore, these results highlight that shifts in global CO<sub>2</sub> emissions over the past 30 years are predominantly influenced by factors like industrial emissions and GDP. Results also demonstrate a distinct relationship between a country's CO<sub>2</sub> emissions and its physical and socioeconomic factors. Specifically, the nation's coastline length, population density in coastal regions, and the diversity of its climatic conditions significantly influence its carbon footprint.</p><h2>Other Information</h2><p dir="ltr">Published in: Global Challenges<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/gch2.202300184" target="_blank">https://dx.doi.org/10.1002/gch2.202300184</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2e56955e692cb1c637c7b712b262ab15 |
| identifier_str_mv | 10.1002/gch2.202300184 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24954756 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy ImplicationsAhmed M. EI Kenawy (17746944)Talal Al‐Awadhi (17746947)Meshal Abdullah (17746950)Rana Jawarneh (17746953)Ammar Abulibdeh (15785928)Earth sciencesClimate change scienceGeoinformaticsEconomicsApplied economicsEnvironmental sciencesClimate change impacts and adaptationHuman societyPolicy and administrationSpatial PatternsTemporal TrendsPolicy ImplicationsCO2principal component analysis (PCA)empirical orthogonal functions (EOFs)<p dir="ltr">This study offers a comprehensive analysis of the distribution, evolution, and driving factors of CO<sub>2</sub> emissions from 1990 to 2016 at multiple spatial scales. Utilizing 26 indicators encompassing various facets of CO<sub>2</sub> emissions, it is employed principal component analysis (PCA) and empirical orthogonal functions (EOFs) to identify the dominant characteristics of global CO<sub>2</sub> emissions. This model retained three core components, accounting for 93% of the global CO<sub>2</sub> variation, reflecting emission trajectories and associated economic metrics, such as Gross domestic product (GDP). The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO<sub>2</sub> emissions are pinpointed. Notably, the leading contributors are found among developed nations (e.g., the United States, Canada, Japan), Gulf states (e.g., Saudi Arabia, Qatar), and emerging economies (e.g., China, Brazil, Mexico). Furthermore, these results highlight that shifts in global CO<sub>2</sub> emissions over the past 30 years are predominantly influenced by factors like industrial emissions and GDP. Results also demonstrate a distinct relationship between a country's CO<sub>2</sub> emissions and its physical and socioeconomic factors. Specifically, the nation's coastline length, population density in coastal regions, and the diversity of its climatic conditions significantly influence its carbon footprint.</p><h2>Other Information</h2><p dir="ltr">Published in: Global Challenges<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/gch2.202300184" target="_blank">https://dx.doi.org/10.1002/gch2.202300184</a></p>2023-11-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/gch2.202300184https://figshare.com/articles/journal_contribution/A_Preliminary_Assessment_of_Global_CO_sub_2_sub_Spatial_Patterns_Temporal_Trends_and_Policy_Implications/24954756CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/249547562023-11-01T00:00:00Z |
| spellingShingle | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications Ahmed M. EI Kenawy (17746944) Earth sciences Climate change science Geoinformatics Economics Applied economics Environmental sciences Climate change impacts and adaptation Human society Policy and administration Spatial Patterns Temporal Trends Policy Implications CO2 principal component analysis (PCA) empirical orthogonal functions (EOFs) |
| status_str | publishedVersion |
| title | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| title_full | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| title_fullStr | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| title_full_unstemmed | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| title_short | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| title_sort | A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications |
| topic | Earth sciences Climate change science Geoinformatics Economics Applied economics Environmental sciences Climate change impacts and adaptation Human society Policy and administration Spatial Patterns Temporal Trends Policy Implications CO2 principal component analysis (PCA) empirical orthogonal functions (EOFs) |