Assessment and Promotion Strategy of Rural Resilience in Yangtze River Delta Region, China

被引:6
|
作者
Su, Fei [1 ]
Luo, Jiaqi [1 ]
Liu, Hang [1 ]
Tong, Lei [1 ]
Li, Yuan [1 ]
机构
[1] Zhejiang Gongshang Univ, Sch Tourism & Urban Rural Planning, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
rural vitalization; rural resilience; spatio-temporal evolution; clustering analysis; Yangtze River Delta; COMMUNITY RESILIENCE;
D O I
10.3390/su14095382
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Yangtze River Delta region is the most economically active and open region in China. It is also the region with the most prominent contradictions between urban and rural development. Therefore, it is necessary to strengthen the resilience of the rural areas in this region so that they can develop further with resources and opportunities after sustaining shocks. This study used a weighted TOPSIS method to measure the rural resilience of 153 research units from 2000 to 2019 and then applied the ESDA method to measure the spatial agglomeration or heterogeneity characteristics. The results show that: (1) The rural resilience of this region is higher in the east and lower in the west; (2) rural resilience has obvious spatial agglomeration characteristics, which have undergone a process of shifting from strong to weak before becoming strong again; and (3) the hotspots of rural resilience gradually shifted from Jiangsu to Zhejiang, while the coldspots gradually shifted from Zhejiang to Anhui. Finally, the K-means clustering algorithm was applied to divide all research units into five types: natural capital-dominated areas, productive capital-dominated areas, human capital-dominated areas, social-financial capital-dominated areas and general development areas. Then, the strategies for resilience promotion were proposed accordingly.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] How does manufacturing agglomeration affect urban ecological resilience? evidence from the Yangtze river delta region of China
    Wang, Chen
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [22] The Impact of Green Innovation Capacity on Urban Economic Resilience: Evidence from China's Yangtze River Delta Region
    Lv, Jia
    Zeng, Hao
    Liu, Zhi
    SUSTAINABILITY, 2023, 15 (21)
  • [23] The influence of local officials' promotion incentives on carbon emission in Yangtze River Delta, China
    Meng, Hao
    Huang, Xianjin
    Yang, Hong
    Chen, Zhigang
    Yang, Jun
    Zhou, Yan
    Li, Jianbao
    JOURNAL OF CLEANER PRODUCTION, 2019, 213 : 1337 - 1345
  • [24] Assessment of social vulnerability to natural hazards in the Yangtze River Delta, China
    Ge, Yi
    Dou, Wen
    Gu, Zhihui
    Qian, Xin
    Wang, Jinfei
    Xu, Wei
    Shi, Peijun
    Ming, Xiaodong
    Zhou, Xin
    Chen, Yuan
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2013, 27 (08) : 1899 - 1908
  • [25] Assessment of social vulnerability to natural hazards in the Yangtze River Delta, China
    Yi Ge
    Wen Dou
    Zhihui Gu
    Xin Qian
    Jinfei Wang
    Wei Xu
    Peijun Shi
    Xiaodong Ming
    Xin Zhou
    Yuan Chen
    Stochastic Environmental Research and Risk Assessment, 2013, 27 : 1899 - 1908
  • [27] Depth distribution of polychlorinated biphenyls in soils of the Yangtze River Delta region, China
    Zhang, Haibo
    Li, Xiuhua
    Luo, Yongming
    Li, Qingbo
    GEODERMA, 2011, 160 (3-4) : 408 - 413
  • [28] Regional low carbon development pathways for the Yangtze River Delta region in China
    Wu, Wei
    Zhang, Tingting
    Xie, Xiaomin
    Huang, Zhen
    ENERGY POLICY, 2021, 151
  • [29] Sustainable Village Planning Indicator System in Rural Transformation: Application to Xufu Village in the Yangtze River Delta Region in China
    Zhou, Jingjing
    Hua, Chen
    Wu, Shanshan
    Wang, Zhirong
    Wang, Xinkai
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2021, 147 (04)
  • [30] The Research about Logistics Infrastructure Capability for the Yangtze River Delta Region in China
    Zhang, Rui
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 6718 - 6722