Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies
The development of differentiated emission reduction strategies plays an important role in achieving carbon compliance targets. Each city should adopt carbon reduction strategies according to its carbon emission characteristics. China is a vast country, and there are significant differences between...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/12/6/1129 |
| _version_ | 1827736797303537664 |
|---|---|
| author | Yuxue Zhang Rui Wang Xingyuan Yang He Zhang |
| author_facet | Yuxue Zhang Rui Wang Xingyuan Yang He Zhang |
| author_sort | Yuxue Zhang |
| collection | DOAJ |
| description | The development of differentiated emission reduction strategies plays an important role in achieving carbon compliance targets. Each city should adopt carbon reduction strategies according to its carbon emission characteristics. China is a vast country, and there are significant differences between cities. Therefore, this study classifies 340 Chinese cities according to their carbon emission characteristics since 2020 and proposes differentiated emission reduction strategies accordingly. The results of the research show that Chinese cities can be divided into four categories, and they can strive to achieve their carbon peak targets by adopting differentiated emission reduction strategies. In the baseline scenario, Chinese cities will not be able to meet the peak carbon target by 2030. In the differentiated scenario, eco-agricultural cities, industry-led cities, and high-resource-availability cities will be able to achieve peak carbon by 2030. Unfortunately, resource-poor cities will not reach their peak. However, the extent to which their total carbon emissions contribute to the achievement of national goals is low, and their carbon emissions can be traded off for economic development by appropriately relaxing the constraints on carbon emissions. Therefore, in order to achieve China’s peak carbon goal, this study proposes emission reduction recommendations that should be adopted by different types of cities to form differentiated emission reduction strategies. |
| first_indexed | 2024-03-11T02:15:11Z |
| format | Article |
| id | doaj.art-29ff92a01b1d4084aa0d6491eaf4325c |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-11T02:15:11Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-29ff92a01b1d4084aa0d6491eaf4325c2023-11-18T11:13:10ZengMDPI AGLand2073-445X2023-05-01126112910.3390/land12061129Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction StrategiesYuxue Zhang0Rui Wang1Xingyuan Yang2He Zhang3Department of Urban Planning, School of Architecture, Tianjin University, Tianjin 300072, ChinaDepartment of Urban Planning, School of Architecture, Tianjin University, Tianjin 300072, ChinaDepartment of Urban Planning, School of Architecture, Tianjin University, Tianjin 300072, ChinaDepartment of Urban Planning, School of Architecture, Tianjin University, Tianjin 300072, ChinaThe development of differentiated emission reduction strategies plays an important role in achieving carbon compliance targets. Each city should adopt carbon reduction strategies according to its carbon emission characteristics. China is a vast country, and there are significant differences between cities. Therefore, this study classifies 340 Chinese cities according to their carbon emission characteristics since 2020 and proposes differentiated emission reduction strategies accordingly. The results of the research show that Chinese cities can be divided into four categories, and they can strive to achieve their carbon peak targets by adopting differentiated emission reduction strategies. In the baseline scenario, Chinese cities will not be able to meet the peak carbon target by 2030. In the differentiated scenario, eco-agricultural cities, industry-led cities, and high-resource-availability cities will be able to achieve peak carbon by 2030. Unfortunately, resource-poor cities will not reach their peak. However, the extent to which their total carbon emissions contribute to the achievement of national goals is low, and their carbon emissions can be traded off for economic development by appropriately relaxing the constraints on carbon emissions. Therefore, in order to achieve China’s peak carbon goal, this study proposes emission reduction recommendations that should be adopted by different types of cities to form differentiated emission reduction strategies.https://www.mdpi.com/2073-445X/12/6/1129STIRPAT modelk-means clustering algorithmcarbon peakdifferentiated scenario settingpolicy tool |
| spellingShingle | Yuxue Zhang Rui Wang Xingyuan Yang He Zhang Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies Land STIRPAT model k-means clustering algorithm carbon peak differentiated scenario setting policy tool |
| title | Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies |
| title_full | Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies |
| title_fullStr | Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies |
| title_full_unstemmed | Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies |
| title_short | Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies |
| title_sort | can china achieve its carbon emission peak target empirical evidence from city scale driving factors and emission reduction strategies |
| topic | STIRPAT model k-means clustering algorithm carbon peak differentiated scenario setting policy tool |
| url | https://www.mdpi.com/2073-445X/12/6/1129 |
| work_keys_str_mv | AT yuxuezhang canchinaachieveitscarbonemissionpeaktargetempiricalevidencefromcityscaledrivingfactorsandemissionreductionstrategies AT ruiwang canchinaachieveitscarbonemissionpeaktargetempiricalevidencefromcityscaledrivingfactorsandemissionreductionstrategies AT xingyuanyang canchinaachieveitscarbonemissionpeaktargetempiricalevidencefromcityscaledrivingfactorsandemissionreductionstrategies AT hezhang canchinaachieveitscarbonemissionpeaktargetempiricalevidencefromcityscaledrivingfactorsandemissionreductionstrategies |