Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis
Marine fisheries act as both carbon sources and carbon sinks, making them an important component in climate change mitigation strategies. This study aims to quantify the temporal trends and identify the main drivers of net CO2 emissions in China’s marine fisheries, providing scientific support for c...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025028385 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849233467689140224 |
|---|---|
| author | Mingming Hu Shaoqiang Nie Qin Zhu Tugui Yuan Wenxiang Zhang |
| author_facet | Mingming Hu Shaoqiang Nie Qin Zhu Tugui Yuan Wenxiang Zhang |
| author_sort | Mingming Hu |
| collection | DOAJ |
| description | Marine fisheries act as both carbon sources and carbon sinks, making them an important component in climate change mitigation strategies. This study aims to quantify the temporal trends and identify the main drivers of net CO2 emissions in China’s marine fisheries, providing scientific support for carbon neutrality policies in the sector. An integrated accounting framework, considering the direct/indirect carbon emissions of energy use and carbon sequestration in aquaculture, was developed to assess net CO2 emissions in China’s coastal provinces from 2003 to 2023. Using the Logarithmic Mean Divisia Index (LMDI) method, the net CO2 emissions were decomposed into eight driving factors, including technological, structural, and economic scale effects, and conducted provincial-level comparisons to capture spatial heterogeneity. In 2016, the CO2 emissions peaked and declined due to the improvements of energy efficiency and the carbon-sequestering of aquaculture. The economic scale was identified as the largest driver of emissions growth, whereas the structural optimization and technological progress mitigated this trend. Spatial analysis revealed that provinces dominated by capture fisheries had higher net carbon emission intensities; in contrast, provinces with more advanced aquaculture sectors exhibited greater carbon sequestration capacities, which can partially offset the carbon emissions generated by capture fisheries. This framework provides a systematic approach for net carbon accounting in marine fisheries and supports the formulation of targeted low-carbon strategies at the regional level. |
| format | Article |
| id | doaj-art-4f0b72d59bd041f99474f515fb6ed311 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-4f0b72d59bd041f99474f515fb6ed3112025-08-20T05:07:39ZengElsevierResults in Engineering2590-12302025-09-012710677310.1016/j.rineng.2025.106773Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysisMingming Hu0Shaoqiang Nie1Qin Zhu2Tugui Yuan3Wenxiang Zhang4Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, ChinaGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, ChinaGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, ChinaLeibniz-Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100 14469, Potsdam, GermanyGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China; Corresponding author.Marine fisheries act as both carbon sources and carbon sinks, making them an important component in climate change mitigation strategies. This study aims to quantify the temporal trends and identify the main drivers of net CO2 emissions in China’s marine fisheries, providing scientific support for carbon neutrality policies in the sector. An integrated accounting framework, considering the direct/indirect carbon emissions of energy use and carbon sequestration in aquaculture, was developed to assess net CO2 emissions in China’s coastal provinces from 2003 to 2023. Using the Logarithmic Mean Divisia Index (LMDI) method, the net CO2 emissions were decomposed into eight driving factors, including technological, structural, and economic scale effects, and conducted provincial-level comparisons to capture spatial heterogeneity. In 2016, the CO2 emissions peaked and declined due to the improvements of energy efficiency and the carbon-sequestering of aquaculture. The economic scale was identified as the largest driver of emissions growth, whereas the structural optimization and technological progress mitigated this trend. Spatial analysis revealed that provinces dominated by capture fisheries had higher net carbon emission intensities; in contrast, provinces with more advanced aquaculture sectors exhibited greater carbon sequestration capacities, which can partially offset the carbon emissions generated by capture fisheries. This framework provides a systematic approach for net carbon accounting in marine fisheries and supports the formulation of targeted low-carbon strategies at the regional level.http://www.sciencedirect.com/science/article/pii/S2590123025028385Marine fisheryNet carbon emissionsCarbon neutralityDriving factorsRegional heterogeneityLow-carbon development |
| spellingShingle | Mingming Hu Shaoqiang Nie Qin Zhu Tugui Yuan Wenxiang Zhang Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis Results in Engineering Marine fishery Net carbon emissions Carbon neutrality Driving factors Regional heterogeneity Low-carbon development |
| title | Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis |
| title_full | Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis |
| title_fullStr | Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis |
| title_full_unstemmed | Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis |
| title_short | Spatio-temporal dynamics of net carbon emissions in China's marine fishery: A provincial-level analysis |
| title_sort | spatio temporal dynamics of net carbon emissions in china s marine fishery a provincial level analysis |
| topic | Marine fishery Net carbon emissions Carbon neutrality Driving factors Regional heterogeneity Low-carbon development |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025028385 |
| work_keys_str_mv | AT mingminghu spatiotemporaldynamicsofnetcarbonemissionsinchinasmarinefisheryaprovinciallevelanalysis AT shaoqiangnie spatiotemporaldynamicsofnetcarbonemissionsinchinasmarinefisheryaprovinciallevelanalysis AT qinzhu spatiotemporaldynamicsofnetcarbonemissionsinchinasmarinefisheryaprovinciallevelanalysis AT tuguiyuan spatiotemporaldynamicsofnetcarbonemissionsinchinasmarinefisheryaprovinciallevelanalysis AT wenxiangzhang spatiotemporaldynamicsofnetcarbonemissionsinchinasmarinefisheryaprovinciallevelanalysis |