Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China
Abstract Background China’s 35 largest cities, including Wuhan, are inhabited by approximately 18% of the Chinese population, and account for 40% energy consumption and greenhouse gas emissions. Wuhan is the only sub-provincial city in Central China and, as the eighth largest economy nationwide, has...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-05-01
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| Series: | Ecological Processes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13717-023-00435-y |
| _version_ | 1797823046795395072 |
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| author | Gao Pan Xinhang Li Deng Pan Wensheng Liu |
| author_facet | Gao Pan Xinhang Li Deng Pan Wensheng Liu |
| author_sort | Gao Pan |
| collection | DOAJ |
| description | Abstract Background China’s 35 largest cities, including Wuhan, are inhabited by approximately 18% of the Chinese population, and account for 40% energy consumption and greenhouse gas emissions. Wuhan is the only sub-provincial city in Central China and, as the eighth largest economy nationwide, has experienced a notable increase in energy consumption. However, major knowledge gaps exist in understanding the nexus of economic development and carbon footprint and their drivers in Wuhan. Methods We studied Wuhan for the evolutionary characteristics of its carbon footprint (CF), the decoupling relationship between economic development and CF, and the essential drivers of CF. Based on the CF model, we quantified the dynamic trends of CF, carbon carrying capacity, carbon deficit, and carbon deficit pressure index from 2001 to 2020. We also adopted a decoupling model to clarify the coupled dynamics among total CF, its accounts, and economic development. We used the partial least squares method to analyze the influencing factors of Wuhan’s CF and determine the main drivers. Results The CF of Wuhan increased from 36.01 million t CO2eq in 2001 to 70.07 million t CO2eq in 2020, a growth rate of 94.61%, which was much faster than that of the carbon carrying capacity. The energy consumption account (84.15%) far exceeded other accounts, and was mostly contributed by raw coal, coke, and crude oil. The carbon deficit pressure index fluctuated in the range of 8.44–6.74%, indicating that Wuhan was in the relief zone and the mild enhancement zone during 2001–2020. Around the same time, Wuhan was in a transition stage between weak and strong CF decoupling and economic growth. The main driving factor of CF growth was the urban per capita residential building area, while energy consumption per unit of GDP was responsible for the CF decline. Conclusions Our research highlights the interaction of urban ecological and economic systems, and that Wuhan’s CF changes were mainly affected by four factors: city size, economic development, social consumption, and technological progress. The findings are of realistic significance in promoting low-carbon urban development and improving the city’s sustainability, and the related policies can offer an excellent benchmark for other cities with similar challenges. |
| first_indexed | 2024-03-13T10:17:37Z |
| format | Article |
| id | doaj.art-e84cb20d8c264e0f9a6b0ae59833ddac |
| institution | Directory Open Access Journal |
| issn | 2192-1709 |
| language | English |
| last_indexed | 2024-03-13T10:17:37Z |
| publishDate | 2023-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Ecological Processes |
| spelling | doaj.art-e84cb20d8c264e0f9a6b0ae59833ddac2023-05-21T11:08:56ZengSpringerOpenEcological Processes2192-17092023-05-0112111410.1186/s13717-023-00435-yDecoupling effect and driving factors of carbon footprint in megacity Wuhan, Central ChinaGao Pan0Xinhang Li1Deng Pan2Wensheng Liu3College of Life Science and Technology, Central South University of Forestry and TechnologyCollege of Life Science and Technology, Central South University of Forestry and TechnologyCentral South Academy of Inventory and Planning of NFGACollege of Life Science and Technology, Central South University of Forestry and TechnologyAbstract Background China’s 35 largest cities, including Wuhan, are inhabited by approximately 18% of the Chinese population, and account for 40% energy consumption and greenhouse gas emissions. Wuhan is the only sub-provincial city in Central China and, as the eighth largest economy nationwide, has experienced a notable increase in energy consumption. However, major knowledge gaps exist in understanding the nexus of economic development and carbon footprint and their drivers in Wuhan. Methods We studied Wuhan for the evolutionary characteristics of its carbon footprint (CF), the decoupling relationship between economic development and CF, and the essential drivers of CF. Based on the CF model, we quantified the dynamic trends of CF, carbon carrying capacity, carbon deficit, and carbon deficit pressure index from 2001 to 2020. We also adopted a decoupling model to clarify the coupled dynamics among total CF, its accounts, and economic development. We used the partial least squares method to analyze the influencing factors of Wuhan’s CF and determine the main drivers. Results The CF of Wuhan increased from 36.01 million t CO2eq in 2001 to 70.07 million t CO2eq in 2020, a growth rate of 94.61%, which was much faster than that of the carbon carrying capacity. The energy consumption account (84.15%) far exceeded other accounts, and was mostly contributed by raw coal, coke, and crude oil. The carbon deficit pressure index fluctuated in the range of 8.44–6.74%, indicating that Wuhan was in the relief zone and the mild enhancement zone during 2001–2020. Around the same time, Wuhan was in a transition stage between weak and strong CF decoupling and economic growth. The main driving factor of CF growth was the urban per capita residential building area, while energy consumption per unit of GDP was responsible for the CF decline. Conclusions Our research highlights the interaction of urban ecological and economic systems, and that Wuhan’s CF changes were mainly affected by four factors: city size, economic development, social consumption, and technological progress. The findings are of realistic significance in promoting low-carbon urban development and improving the city’s sustainability, and the related policies can offer an excellent benchmark for other cities with similar challenges.https://doi.org/10.1186/s13717-023-00435-yCarbon footprintEconomic developmentDecoupling analysisPartial least squares analysisMegacity |
| spellingShingle | Gao Pan Xinhang Li Deng Pan Wensheng Liu Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China Ecological Processes Carbon footprint Economic development Decoupling analysis Partial least squares analysis Megacity |
| title | Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China |
| title_full | Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China |
| title_fullStr | Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China |
| title_full_unstemmed | Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China |
| title_short | Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China |
| title_sort | decoupling effect and driving factors of carbon footprint in megacity wuhan central china |
| topic | Carbon footprint Economic development Decoupling analysis Partial least squares analysis Megacity |
| url | https://doi.org/10.1186/s13717-023-00435-y |
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