Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area
Understanding the historical peak situation and the rules for CO<sub>2</sub> emissions from buildings helps to formulate reasonable building mitigation strategies, accelerating the achievement of the Chinese government’s carbon peak goal. As developed regions, cities in the Guangdong–Hon...
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MDPI AG
2025-06-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/11/1927 |
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| author | Xiao Wang Yan Li Kairui You |
| author_facet | Xiao Wang Yan Li Kairui You |
| author_sort | Xiao Wang |
| collection | DOAJ |
| description | Understanding the historical peak situation and the rules for CO<sub>2</sub> emissions from buildings helps to formulate reasonable building mitigation strategies, accelerating the achievement of the Chinese government’s carbon peak goal. As developed regions, cities in the Guangdong–Hong Kong–Macao Great Bay Area (GBA) provide valuable reference cases. This study quantified the historical building CO<sub>2</sub> emissions of GBA cities and analyzed the contribution of driving factors using the Kaya identity and logarithmic mean Divisia index. Furthermore, we assessed the historical peak situation using the MK trend test method and discussed the reasons behind the inter-city difference in the peak situation shown by the environmental Kuznets curve. The results indicate that the building-related CO<sub>2</sub> emissions of the GBA will slowly increase to 96.90 Mt CO<sub>2</sub> by 2020 and that P&C buildings accounted for a larger proportion of emissions. Emission factors and population made the largest positive and negative contributions, respectively, to this total. At the city level, Guangzhou, Shenzhen, and Hong Kong ranked as the top three sources of building CO<sub>2</sub> emissions. Hong Kong peaked, Dongguan and Macao plateaued, and other cities maintained either slow or quick growth. CO<sub>2</sub> emissions unit area, per capita building CO<sub>2</sub> emissions, and building CO<sub>2</sub> emissions reached a peak in that order. This study provides a valuable reference for formulating a city-level path showing building CO<sub>2</sub> emissions peaks. |
| format | Article |
| id | doaj-art-e7b5bc4e900c4277a679002ff781d16a |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-06-01 |
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| series | Buildings |
| spelling | doaj-art-e7b5bc4e900c4277a679002ff781d16a2025-08-20T02:23:06ZengMDPI AGBuildings2075-53092025-06-011511192710.3390/buildings15111927Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay AreaXiao Wang0Yan Li1Kairui You2School of Mechanics and Civil Engineering, China University of Mining & Technology-Beijing, Beijing 100083, ChinaSchool of Management Science and Real Estate, Chongqing University, Chongqing 400044, ChinaThe Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, ChinaUnderstanding the historical peak situation and the rules for CO<sub>2</sub> emissions from buildings helps to formulate reasonable building mitigation strategies, accelerating the achievement of the Chinese government’s carbon peak goal. As developed regions, cities in the Guangdong–Hong Kong–Macao Great Bay Area (GBA) provide valuable reference cases. This study quantified the historical building CO<sub>2</sub> emissions of GBA cities and analyzed the contribution of driving factors using the Kaya identity and logarithmic mean Divisia index. Furthermore, we assessed the historical peak situation using the MK trend test method and discussed the reasons behind the inter-city difference in the peak situation shown by the environmental Kuznets curve. The results indicate that the building-related CO<sub>2</sub> emissions of the GBA will slowly increase to 96.90 Mt CO<sub>2</sub> by 2020 and that P&C buildings accounted for a larger proportion of emissions. Emission factors and population made the largest positive and negative contributions, respectively, to this total. At the city level, Guangzhou, Shenzhen, and Hong Kong ranked as the top three sources of building CO<sub>2</sub> emissions. Hong Kong peaked, Dongguan and Macao plateaued, and other cities maintained either slow or quick growth. CO<sub>2</sub> emissions unit area, per capita building CO<sub>2</sub> emissions, and building CO<sub>2</sub> emissions reached a peak in that order. This study provides a valuable reference for formulating a city-level path showing building CO<sub>2</sub> emissions peaks.https://www.mdpi.com/2075-5309/15/11/1927building CO<sub>2</sub> emissionsthe Guangdong–Hong Kong–Macao Great Bay Areapeak situationMK trend testenvironmental Kuznets curve |
| spellingShingle | Xiao Wang Yan Li Kairui You Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area Buildings building CO<sub>2</sub> emissions the Guangdong–Hong Kong–Macao Great Bay Area peak situation MK trend test environmental Kuznets curve |
| title | Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area |
| title_full | Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area |
| title_fullStr | Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area |
| title_full_unstemmed | Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area |
| title_short | Revealing the Historical Peak Situation of CO<sub>2</sub> Emissions from Buildings in the Great Bay Area |
| title_sort | revealing the historical peak situation of co sub 2 sub emissions from buildings in the great bay area |
| topic | building CO<sub>2</sub> emissions the Guangdong–Hong Kong–Macao Great Bay Area peak situation MK trend test environmental Kuznets curve |
| url | https://www.mdpi.com/2075-5309/15/11/1927 |
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