Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus
The industrial production requires the input of water, land and energy, and the water-land-energy interaction generates carbon emissions. Investigating the industrial water-land-energy-carbon nexus and exploring the influencing factors of the carbon emissions help promote the intensive use of water...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23004491 |
| _version_ | 1797818392274534400 |
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| author | Wenyuan Jiang Zhengyun Zhang Juan Wen Lifeng Yin Bingkui Song |
| author_facet | Wenyuan Jiang Zhengyun Zhang Juan Wen Lifeng Yin Bingkui Song |
| author_sort | Wenyuan Jiang |
| collection | DOAJ |
| description | The industrial production requires the input of water, land and energy, and the water-land-energy interaction generates carbon emissions. Investigating the industrial water-land-energy-carbon nexus and exploring the influencing factors of the carbon emissions help promote the intensive use of water resources, land resources, and energy, as well as the low-carbon development of industry. This paper applied kernel density estimation and spatial auto-correlation analysis to explore the spatio-temporal variation of industrial carbon emission effect of water and land use and the industrial matching status of water and land resources in China, and then analyzes the influencing factors to industrial carbon emissions by introducing water and land resource factor into Kaya identity and Logarithmic Mean Divisia Index (LMDI) model. The main conclusions are: (1) From 2006 to 2020, China's industrial carbon emissions increased by 82.02%. The industrial carbon emission intensity of water use (CEIWU) and the industrial carbon emission intensity of land use (CEILU) increased by 158.02% and 55.53% respectively. The inter-provincial difference of CEIWU and CEILU expanded considerably, and the number of provinces with high CEILU had a large increase. (2) The industrial matching index of water and land resources (MIWL) in China showed a fluctuating downward trend, presenting great spatial clustering, and the provincial MIWL were mainly concentrated in the H-H and L-L regions. (3) The contributing and inhibitory effect of each influencing factor varied on regional and provincial level. The economic output of water use is a contributing factor to all regions and provinces, while the MIWL is an inhibitory factor to all regions and provinces. |
| first_indexed | 2024-03-13T09:07:21Z |
| format | Article |
| id | doaj.art-eb6123535c0d45afafc5de8d3ee69922 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-13T09:07:21Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-eb6123535c0d45afafc5de8d3ee699222023-05-28T04:08:42ZengElsevierEcological Indicators1470-160X2023-08-01152110307Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexusWenyuan Jiang0Zhengyun Zhang1Juan Wen2Lifeng Yin3Bingkui Song4Tianjin Academy of Eco-environmental Sciences, Tianjin 300191, ChinaTianjin Academy of Eco-environmental Sciences, Tianjin 300191, ChinaCorresponding author.; Tianjin Academy of Eco-environmental Sciences, Tianjin 300191, ChinaTianjin Academy of Eco-environmental Sciences, Tianjin 300191, ChinaTianjin Academy of Eco-environmental Sciences, Tianjin 300191, ChinaThe industrial production requires the input of water, land and energy, and the water-land-energy interaction generates carbon emissions. Investigating the industrial water-land-energy-carbon nexus and exploring the influencing factors of the carbon emissions help promote the intensive use of water resources, land resources, and energy, as well as the low-carbon development of industry. This paper applied kernel density estimation and spatial auto-correlation analysis to explore the spatio-temporal variation of industrial carbon emission effect of water and land use and the industrial matching status of water and land resources in China, and then analyzes the influencing factors to industrial carbon emissions by introducing water and land resource factor into Kaya identity and Logarithmic Mean Divisia Index (LMDI) model. The main conclusions are: (1) From 2006 to 2020, China's industrial carbon emissions increased by 82.02%. The industrial carbon emission intensity of water use (CEIWU) and the industrial carbon emission intensity of land use (CEILU) increased by 158.02% and 55.53% respectively. The inter-provincial difference of CEIWU and CEILU expanded considerably, and the number of provinces with high CEILU had a large increase. (2) The industrial matching index of water and land resources (MIWL) in China showed a fluctuating downward trend, presenting great spatial clustering, and the provincial MIWL were mainly concentrated in the H-H and L-L regions. (3) The contributing and inhibitory effect of each influencing factor varied on regional and provincial level. The economic output of water use is a contributing factor to all regions and provinces, while the MIWL is an inhibitory factor to all regions and provinces.http://www.sciencedirect.com/science/article/pii/S1470160X23004491Industrial carbon emissionsWater-land-energy-carbon nexusSpatio-temporal variationInfluencing factorsChina |
| spellingShingle | Wenyuan Jiang Zhengyun Zhang Juan Wen Lifeng Yin Bingkui Song Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus Ecological Indicators Industrial carbon emissions Water-land-energy-carbon nexus Spatio-temporal variation Influencing factors China |
| title | Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus |
| title_full | Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus |
| title_fullStr | Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus |
| title_full_unstemmed | Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus |
| title_short | Spatio-temporal variation and influencing factors of industrial carbon emission effect in China based on water-land-energy-carbon nexus |
| title_sort | spatio temporal variation and influencing factors of industrial carbon emission effect in china based on water land energy carbon nexus |
| topic | Industrial carbon emissions Water-land-energy-carbon nexus Spatio-temporal variation Influencing factors China |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23004491 |
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