Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach
The allocation of responsibility for carbon emissions among involved parties has garnered significant attention. This study proposes a comprehensive sharing coefficient methodology known as CVAT (direct carbon emissions, value added, and technology level) to enhance the accuracy and equity of respon...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Sustainable Futures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188824001527 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850114085394317312 |
|---|---|
| author | Yingying Du Haibin Liu Hui Huang Jiazeng Zhang Yajie Wang |
| author_facet | Yingying Du Haibin Liu Hui Huang Jiazeng Zhang Yajie Wang |
| author_sort | Yingying Du |
| collection | DOAJ |
| description | The allocation of responsibility for carbon emissions among involved parties has garnered significant attention. This study proposes a comprehensive sharing coefficient methodology known as CVAT (direct carbon emissions, value added, and technology level) to enhance the accuracy and equity of responsibility sharing driven by the new productivity standard. This study utilizes the environmental expansion multi-region input-output (EEMRIO) model to assess China's implicit provincial carbon emissions over the previous two decades. The study investigates the characteristics of the implied carbon transfer network using social network analysis (SNA) techniques. Key findings include: (1) The CVAT method's determination of responsibility sharing coefficients aligns with fairness and efficiency principles, resulting in a more equitable distribution of implied carbon emission responsibilities conducive to achieving fair carbon emission reduction. (2) Over the research period, national implied carbon emissions exhibited an upward trajectory, increasing from 3.305 billion tons in 2002 to 9.726 billion tons in 2017, with Shandong, Hebei, and Jiangsu provinces ranking among the top emitters in China. (3) Eastern coastal and western regions function as net carbon transfer out regions, while the central, northeast, and southwest regions act as net carbon transfer in regions. (4) The implied carbon transfer network demonstrated relative stability throughout the study period, with Shandong, Hebei, Jiangsu, and Inner Mongolia emerging as major carbon transfer provinces. The study's outcomes hold significant implications for the impartial and accurate assessment of carbon emission responsibilities and the advancement of global carbon emission reduction efforts. |
| format | Article |
| id | doaj-art-1668de45e9fc4d6fb8df12308e47d9bd |
| institution | OA Journals |
| issn | 2666-1888 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sustainable Futures |
| spelling | doaj-art-1668de45e9fc4d6fb8df12308e47d9bd2025-08-20T02:36:59ZengElsevierSustainable Futures2666-18882024-12-01810030310.1016/j.sftr.2024.100303Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approachYingying Du0Haibin Liu1Hui Huang2Jiazeng Zhang3Yajie Wang4School of Management, China University of Mining & Technology (Beijing), Beijing 100083, PR ChinaSchool of Management, China University of Mining & Technology (Beijing), Beijing 100083, PR China; Corresponding author.School of Management, China University of Mining & Technology (Beijing), Beijing 100083, PR ChinaChina Sinochem Environmental Holding Co., Ltd, Beijing 100071, PR ChinaSchool of Management, China University of Mining & Technology (Beijing), Beijing 100083, PR ChinaThe allocation of responsibility for carbon emissions among involved parties has garnered significant attention. This study proposes a comprehensive sharing coefficient methodology known as CVAT (direct carbon emissions, value added, and technology level) to enhance the accuracy and equity of responsibility sharing driven by the new productivity standard. This study utilizes the environmental expansion multi-region input-output (EEMRIO) model to assess China's implicit provincial carbon emissions over the previous two decades. The study investigates the characteristics of the implied carbon transfer network using social network analysis (SNA) techniques. Key findings include: (1) The CVAT method's determination of responsibility sharing coefficients aligns with fairness and efficiency principles, resulting in a more equitable distribution of implied carbon emission responsibilities conducive to achieving fair carbon emission reduction. (2) Over the research period, national implied carbon emissions exhibited an upward trajectory, increasing from 3.305 billion tons in 2002 to 9.726 billion tons in 2017, with Shandong, Hebei, and Jiangsu provinces ranking among the top emitters in China. (3) Eastern coastal and western regions function as net carbon transfer out regions, while the central, northeast, and southwest regions act as net carbon transfer in regions. (4) The implied carbon transfer network demonstrated relative stability throughout the study period, with Shandong, Hebei, Jiangsu, and Inner Mongolia emerging as major carbon transfer provinces. The study's outcomes hold significant implications for the impartial and accurate assessment of carbon emission responsibilities and the advancement of global carbon emission reduction efforts.http://www.sciencedirect.com/science/article/pii/S2666188824001527Implied carbon emissionsShared responsibility principleCVAT methodEEMRIO modelNew quality productivityChina's provinces |
| spellingShingle | Yingying Du Haibin Liu Hui Huang Jiazeng Zhang Yajie Wang Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach Sustainable Futures Implied carbon emissions Shared responsibility principle CVAT method EEMRIO model New quality productivity China's provinces |
| title | Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach |
| title_full | Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach |
| title_fullStr | Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach |
| title_full_unstemmed | Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach |
| title_short | Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach |
| title_sort | research on provincial implied carbon emissions in china under the shared responsibility driven by new quality productivity a new approach |
| topic | Implied carbon emissions Shared responsibility principle CVAT method EEMRIO model New quality productivity China's provinces |
| url | http://www.sciencedirect.com/science/article/pii/S2666188824001527 |
| work_keys_str_mv | AT yingyingdu researchonprovincialimpliedcarbonemissionsinchinaunderthesharedresponsibilitydrivenbynewqualityproductivityanewapproach AT haibinliu researchonprovincialimpliedcarbonemissionsinchinaunderthesharedresponsibilitydrivenbynewqualityproductivityanewapproach AT huihuang researchonprovincialimpliedcarbonemissionsinchinaunderthesharedresponsibilitydrivenbynewqualityproductivityanewapproach AT jiazengzhang researchonprovincialimpliedcarbonemissionsinchinaunderthesharedresponsibilitydrivenbynewqualityproductivityanewapproach AT yajiewang researchonprovincialimpliedcarbonemissionsinchinaunderthesharedresponsibilitydrivenbynewqualityproductivityanewapproach |