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YAO Shuang, SHANG Zhaokui, LIU Yixuan, GUO Hui. Resilience Measurement and Temporal and Spatial Pattern Evolution of County Rural Economy in Wuling Mountain Area, Hunan Province[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(5): 53-61. DOI: 10.12371/j.ynau(s).202205003
Citation: YAO Shuang, SHANG Zhaokui, LIU Yixuan, GUO Hui. Resilience Measurement and Temporal and Spatial Pattern Evolution of County Rural Economy in Wuling Mountain Area, Hunan Province[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(5): 53-61. DOI: 10.12371/j.ynau(s).202205003

Resilience Measurement and Temporal and Spatial Pattern Evolution of County Rural Economy in Wuling Mountain Area, Hunan Province

DOI: 10.12371/j.ynau(s).202205003
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  • Received Date: April 29, 2022
  • Revised Date: June 06, 2022
  • Accepted Date: June 06, 2022
  • Available Online: June 13, 2022
  • Published Date: October 14, 2022
  • Taking Wuling Mountain Area of Hunan Province as the research area, this paper constructs the evaluation index system of county rural economic resilience in Wuling Mountain Area of Hunan Province, comprehensively evaluates the county rural economic resilience in Wuling Mountain Area of Hunan Province from 2010 to 2019 by using entropy method, and analyzes its temporal and spatial distribution pattern and evolution process through geographic information software, so as to further explore the relevance of the spatial pattern of county rural economic resilience in Wuling Mountain Area of Hunan Province. The results show that:(1)the overall level of rural economic resilience in the study area has improved significantly, but the gap of resilience level among county units has gradually expanded, the county units with higher economic resilience level have decreased, and the county units with lower economic resilience level have increased.(2)During the statistical years, there was no significant change in the spatial pattern of county rural economic resilience. The overall resilience level showed a distribution pattern of “high in the East and low in the west” . County units with relatively high resilience level were mainly distributed in county-level cities and their surrounding counties and cities.(3)The global spatial autocorrelation analysis shows that there is a significant spatial positive correlation in the resilience of rural economy in this area, and the degree of agglomeration is significantly enhanced; In addition, the positive agglomeration degree of county rural economic resilience first increased and then stabilized, and the number of county units with significant negative correlation remained unchanged in the statistical years.
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