姚爽, 商兆奎, 刘艺璇, 等. 湖南省武陵山片区县域乡村经济韧性测度及时空格局演变研究[J]. 云南农业大学学报(社会科学), 2022, 16(5): 53−61. doi: 10.12371/j.ynau(s).202205003
引用本文: 姚爽, 商兆奎, 刘艺璇, 等. 湖南省武陵山片区县域乡村经济韧性测度及时空格局演变研究[J]. 云南农业大学学报(社会科学), 2022, 16(5): 53−61. doi: 10.12371/j.ynau(s).202205003
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

湖南省武陵山片区县域乡村经济韧性测度及时空格局演变研究

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

  • 摘要: 以湖南省武陵山片区为研究区域,构建湖南省武陵山片区县域乡村经济韧性评价指标体系,利用熵值法对2010—2019年湖南省武陵山片区各县域乡村经济韧性进行综合评价,并通过地理信息软件对其时空分布格局及演变过程进行分析,进一步探索湖南省武陵山片区县域乡村经济韧性空间格局的关联性。结果表明:(1)研究区域乡村经济韧性水平总体提升显著,但各县域单元之间韧性水平差距逐步扩大,较高经济韧性水平的县域单元减少,较低经济韧性水平的县域单元增加。(2)统计年间县域乡村经济韧性空间格局无明显变化,韧性水平整体呈“东高西低”的分布格局,韧性水平相对高的县域单元主要分布在县级市及其周边县市。(3)全局空间自相关分析表明,片区乡村经济韧性存在显著的空间正相关性,且集聚程度明显增强;此外,县域乡村经济韧性正向集聚程度呈先增强后平稳的发展态势,显著负相关的县域单元数在统计年间维持不变。

     

    Abstract: 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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