The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China
Cities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon...
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MDPI AG
2025-01-01
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| Series: | Atmosphere |
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| author | Zheng Wang Kangkang Gu Hu Yu |
| author_facet | Zheng Wang Kangkang Gu Hu Yu |
| author_sort | Zheng Wang |
| collection | DOAJ |
| description | Cities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon emissions within megacities, and further target emission reductions, measures were developed. Beijing was selected to investigate influencing factor differences in the core zones, developing zones and ecological zones using the STIRPAT model on the county level. The results show the following: (1) Regional heterogeneity existed in Beijing in carbon emissions changes from 2010 to 2022. The carbon emissions of the core zones grew steadily and were demonstrated as a major part of Beijing. (2) There were variations in the influencing factors of emissions. Population size was the major driving factor of emissions in the core zones, while emissions in the developing zones and ecological zones were driven primarily by GDP per capita. Notably, urbanization promoted the increase in carbon emissions in the developing zones, but had a negative influence on emissions in the ecological zones. The energy intensity was the primary negative force of carbon emissions in the three zones. (3) The differences in population, economic scale, industrial structure and technological level lead to the heterogeneity of carbon emissions in Beijing. The three zones should formulate targeted emission reduction measures based on the primary factors of carbon emissions and their functional positioning. |
| format | Article |
| id | doaj-art-744c3723d44645d6b90a14a02a83db3a |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Atmosphere |
| spelling | doaj-art-744c3723d44645d6b90a14a02a83db3a2025-01-24T13:21:57ZengMDPI AGAtmosphere2073-44332025-01-011618010.3390/atmos16010080The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, ChinaZheng Wang0Kangkang Gu1Hu Yu2School of Architecture & Planning, Anhui Jianzhu University, Hefei 230022, ChinaSchool of Architecture & Planning, Anhui Jianzhu University, Hefei 230022, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaCities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon emissions within megacities, and further target emission reductions, measures were developed. Beijing was selected to investigate influencing factor differences in the core zones, developing zones and ecological zones using the STIRPAT model on the county level. The results show the following: (1) Regional heterogeneity existed in Beijing in carbon emissions changes from 2010 to 2022. The carbon emissions of the core zones grew steadily and were demonstrated as a major part of Beijing. (2) There were variations in the influencing factors of emissions. Population size was the major driving factor of emissions in the core zones, while emissions in the developing zones and ecological zones were driven primarily by GDP per capita. Notably, urbanization promoted the increase in carbon emissions in the developing zones, but had a negative influence on emissions in the ecological zones. The energy intensity was the primary negative force of carbon emissions in the three zones. (3) The differences in population, economic scale, industrial structure and technological level lead to the heterogeneity of carbon emissions in Beijing. The three zones should formulate targeted emission reduction measures based on the primary factors of carbon emissions and their functional positioning.https://www.mdpi.com/2073-4433/16/1/80carbon emissionsinfluencing factorsinternal heterogeneityridge regressionBeijing |
| spellingShingle | Zheng Wang Kangkang Gu Hu Yu The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China Atmosphere carbon emissions influencing factors internal heterogeneity ridge regression Beijing |
| title | The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China |
| title_full | The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China |
| title_fullStr | The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China |
| title_full_unstemmed | The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China |
| title_short | The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China |
| title_sort | internal heterogeneity of carbon emissions in megacities a case study of beijing china |
| topic | carbon emissions influencing factors internal heterogeneity ridge regression Beijing |
| url | https://www.mdpi.com/2073-4433/16/1/80 |
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