Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework
Effectively evaluating the carrying capacity of rural resources and the environment, and identifying key factors for its enhancement, are critical for rural sustainability. To meet this objective, a coupling model for rural resource and environmental carrying capacity (RRECC) was constructed using m...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25001037 |
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| Summary: | Effectively evaluating the carrying capacity of rural resources and the environment, and identifying key factors for its enhancement, are critical for rural sustainability. To meet this objective, a coupling model for rural resource and environmental carrying capacity (RRECC) was constructed using multi-source spatiotemporal data. The model incorporates the zonal division index of resources and environment (ZI), the categorization index of socioeconomic development (CI), and the grading index of population concentration (GI). Spatial autocorrelation and factor contribution analysis were employed to simulate the RRECC of China and identify key factors for enhancing this capacity. The results show that the overall carrying capacity status of China’s rural resources and environment is favorable. Out of 30,055 rural study units, 91.076% are in balance and surplus states, encompassing 90.044% of the population and 66.451% of the land. The carrying capacity exhibits a spatial pattern of higher capacity in the east and south, with significant spatial clustering. The contributions of socioeconomic development and ecological environment protection to carrying capacity are 28.018% and 27.625%, respectively. Therefore, enhancing carrying capacity requires synergistic advancement in both areas. This study advances the evaluation methods for resource and environmental carrying capacity (RECC) in rural areas, providing scientific guidance and support for the realization of the great goal of the Rural Revitalization Strategy. |
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| ISSN: | 1470-160X |