Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference
Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wei, Wei [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:253 ; year:2020 ; day:20 ; month:04 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2019.119939 |
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ELV049457020 |
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| 245 | 1 | 0 | |a Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference |
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| 520 | |a Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. | ||
| 520 | |a Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. | ||
| 650 | 7 | |a Environmental interference |2 Elsevier | |
| 650 | 7 | |a Mainland China |2 Elsevier | |
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| 650 | 7 | |a Space distance model (SDM) |2 Elsevier | |
| 700 | 1 | |a Guo, Zecheng |4 oth | |
| 700 | 1 | |a Xie, Binbin |4 oth | |
| 700 | 1 | |a Zhou, Junju |4 oth | |
| 700 | 1 | |a Li, Chuanhua |4 oth | |
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10.1016/j.jclepro.2019.119939 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001193.pica (DE-627)ELV049457020 (ELSEVIER)S0959-6526(19)34809-7 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Wei, Wei verfasserin aut Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Environmental interference Elsevier Mainland China Elsevier Socio-economic effect Elsevier Spatiotemporal analysis Elsevier Space distance model (SDM) Elsevier Guo, Zecheng oth Xie, Binbin oth Zhou, Junju oth Li, Chuanhua oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:253 year:2020 day:20 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2019.119939 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 253 2020 20 0420 0 |
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10.1016/j.jclepro.2019.119939 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001193.pica (DE-627)ELV049457020 (ELSEVIER)S0959-6526(19)34809-7 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Wei, Wei verfasserin aut Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Environmental interference Elsevier Mainland China Elsevier Socio-economic effect Elsevier Spatiotemporal analysis Elsevier Space distance model (SDM) Elsevier Guo, Zecheng oth Xie, Binbin oth Zhou, Junju oth Li, Chuanhua oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:253 year:2020 day:20 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2019.119939 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 253 2020 20 0420 0 |
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10.1016/j.jclepro.2019.119939 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001193.pica (DE-627)ELV049457020 (ELSEVIER)S0959-6526(19)34809-7 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Wei, Wei verfasserin aut Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Environmental interference Elsevier Mainland China Elsevier Socio-economic effect Elsevier Spatiotemporal analysis Elsevier Space distance model (SDM) Elsevier Guo, Zecheng oth Xie, Binbin oth Zhou, Junju oth Li, Chuanhua oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:253 year:2020 day:20 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2019.119939 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 253 2020 20 0420 0 |
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10.1016/j.jclepro.2019.119939 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001193.pica (DE-627)ELV049457020 (ELSEVIER)S0959-6526(19)34809-7 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Wei, Wei verfasserin aut Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Environmental interference Elsevier Mainland China Elsevier Socio-economic effect Elsevier Spatiotemporal analysis Elsevier Space distance model (SDM) Elsevier Guo, Zecheng oth Xie, Binbin oth Zhou, Junju oth Li, Chuanhua oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:253 year:2020 day:20 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2019.119939 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 253 2020 20 0420 0 |
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10.1016/j.jclepro.2019.119939 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001193.pica (DE-627)ELV049457020 (ELSEVIER)S0959-6526(19)34809-7 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Wei, Wei verfasserin aut Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. Environmental interference Elsevier Mainland China Elsevier Socio-economic effect Elsevier Spatiotemporal analysis Elsevier Space distance model (SDM) Elsevier Guo, Zecheng oth Xie, Binbin oth Zhou, Junju oth Li, Chuanhua oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:253 year:2020 day:20 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2019.119939 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 253 2020 20 0420 0 |
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EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. 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quantitative simulation of socio-economic effects in mainland china from 1980 to 2015: a perspective of environmental interference |
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Quantitative simulation of socio-economic effects in mainland China from 1980 to 2015: A perspective of environmental interference |
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Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. |
| abstractGer |
Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. |
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Conducting evaluations of socio-economic activities in a large area is a difficult and complex process that is affected by many factors. EI represents the actual environmental interference caused by socio-economic development, and it is a quantitative expression in this paper. Understanding EI is of great significance for promoting the scientific management and sustainable development of social economies. This study selected 11 indexes that included the following eight aspects: terrain, climate, hydrology, soil, vegetation, land, population and economy. The SDM and RM were used to calculate the EII, and the EI of mainland China from 1980 to 2015 was comprehensively evaluated from a spatiotemporal perspective. The results indicated that the NOI, NEI and LII categories of EI accounted for more than 70% of the total area, while regions with HII, STI and HEI presented a gradually increasing trend over 35 years. The distribution of EI had obvious scale effects at different administrative units. In general, eastern China and central China had the highest EI, which presented high-high clusters. Western China had the lowest EI, and the low-low clusters were generally distributed in unoccupied areas. In addition, the areas did not change significantly. The change of EI in mainland China was the most drastic from 2000 to 2010 but stable after 2010, especially in 2015. The evaluation results provide a reference for the formulation of related policies for the coordination between the natural environment and socio-economic development. |
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