Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data
Abstract Owing to China’s massive area and vastly differing regional variations in the types and efficiency of energy, the spatiotemporal distributions of regional carbon emissions (CE) vary widely. Regional CE study is becoming more crucial for determining the future course of sustainable developme...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-87899-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832571739039596544 |
|---|---|
| author | Huazhu Xue Qianqian Ma Xiaosan Ge |
| author_facet | Huazhu Xue Qianqian Ma Xiaosan Ge |
| author_sort | Huazhu Xue |
| collection | DOAJ |
| description | Abstract Owing to China’s massive area and vastly differing regional variations in the types and efficiency of energy, the spatiotemporal distributions of regional carbon emissions (CE) vary widely. Regional CE study is becoming more crucial for determining the future course of sustainable development worldwide. In this work, two types of nighttime light data were integrated to expand the study’s temporal coverage. On this basis, the distribution of energy-related CE in the Yangtze River Delta (YRD) region of China was estimated at a multispatial scale. Then the spatiotemporal dynamics of CE were explored based on the estimated results. The findings showed that the growth rate of CE in the YRD displayed three stages, and the total CE fluctuated upward. The spatial pattern of CE demonstrated a step-like decline from east to west. However, the Gini coefficient indicated that the differences in CE between cities gradually decreased since the CE had a strong spatial positive correlation in the YRD. Multiple factors affected the spatial variation of CE in the YRD, with economic level and population as the “critical” influencing elements, which determined the absolute amount of CE. This study provides a long-term analysis of CE dynamics while enhancing explanatory accuracy. The methods offer novel perspectives and tools for regional CE research. The results reveal spatial heterogeneity and clustering patterns of CE within regions, contributing valuable scientific evidence for monitoring regional CE and formulating emission reduction policies. |
| format | Article |
| id | doaj-art-8d7dba0e0d6749d5b3735c36acc19cb9 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-8d7dba0e0d6749d5b3735c36acc19cb92025-02-02T12:22:34ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-025-87899-4Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light dataHuazhu Xue0Qianqian Ma1Xiaosan Ge2School of Surveying and Land Information Engineering, Henan Polytechnic UniversitySchool of Surveying and Land Information Engineering, Henan Polytechnic UniversitySchool of Surveying and Land Information Engineering, Henan Polytechnic UniversityAbstract Owing to China’s massive area and vastly differing regional variations in the types and efficiency of energy, the spatiotemporal distributions of regional carbon emissions (CE) vary widely. Regional CE study is becoming more crucial for determining the future course of sustainable development worldwide. In this work, two types of nighttime light data were integrated to expand the study’s temporal coverage. On this basis, the distribution of energy-related CE in the Yangtze River Delta (YRD) region of China was estimated at a multispatial scale. Then the spatiotemporal dynamics of CE were explored based on the estimated results. The findings showed that the growth rate of CE in the YRD displayed three stages, and the total CE fluctuated upward. The spatial pattern of CE demonstrated a step-like decline from east to west. However, the Gini coefficient indicated that the differences in CE between cities gradually decreased since the CE had a strong spatial positive correlation in the YRD. Multiple factors affected the spatial variation of CE in the YRD, with economic level and population as the “critical” influencing elements, which determined the absolute amount of CE. This study provides a long-term analysis of CE dynamics while enhancing explanatory accuracy. The methods offer novel perspectives and tools for regional CE research. The results reveal spatial heterogeneity and clustering patterns of CE within regions, contributing valuable scientific evidence for monitoring regional CE and formulating emission reduction policies.https://doi.org/10.1038/s41598-025-87899-4Nighttime light dataCarbon emissionsSpatiotemporal dynamicsGeographic detectorYangtze River Delta |
| spellingShingle | Huazhu Xue Qianqian Ma Xiaosan Ge Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data Scientific Reports Nighttime light data Carbon emissions Spatiotemporal dynamics Geographic detector Yangtze River Delta |
| title | Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data |
| title_full | Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data |
| title_fullStr | Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data |
| title_full_unstemmed | Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data |
| title_short | Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data |
| title_sort | spatiotemporal dynamics and driving factors of energy related carbon emissions in the yangtze river delta region based on nighttime light data |
| topic | Nighttime light data Carbon emissions Spatiotemporal dynamics Geographic detector Yangtze River Delta |
| url | https://doi.org/10.1038/s41598-025-87899-4 |
| work_keys_str_mv | AT huazhuxue spatiotemporaldynamicsanddrivingfactorsofenergyrelatedcarbonemissionsintheyangtzeriverdeltaregionbasedonnighttimelightdata AT qianqianma spatiotemporaldynamicsanddrivingfactorsofenergyrelatedcarbonemissionsintheyangtzeriverdeltaregionbasedonnighttimelightdata AT xiaosange spatiotemporaldynamicsanddrivingfactorsofenergyrelatedcarbonemissionsintheyangtzeriverdeltaregionbasedonnighttimelightdata |