Vertical Spatial Differentiation and Influencing Factors of Rural Livelihood Resilience: Evidence from the Mountainous Areas of Southwest China

被引:0
|
作者
Zhu, Siji [1 ]
Sun, Jun [1 ,2 ]
Wu, Yingmei [1 ]
Lu, Qingping [1 ]
Ke, Yuechang [3 ]
Xue, Zhixuan [4 ]
Zhu, Guifang [2 ]
Xiao, Yiting [2 ]
机构
[1] Yunnan Normal Univ, Fac Geog, Kunming 650500, Peoples R China
[2] Yunnan Normal Univ, Sch Hist & Adm, Kunming 650500, Peoples R China
[3] Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Ctr Integrat Conservat, Mengla 666303, Peoples R China
[4] Harbin Normal Univ, Sch Geog Sci, Harbin 150025, Peoples R China
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 08期
关键词
rural livelihood resilience (RLR); terrain gradient; vertical spatial differentiation; influence factors; mountainous areas of Southwest China; POVERTY; VULNERABILITY; POPULATION; FARMERS; PERSPECTIVES; PATTERNS; STRATEGY; THINKING; ENHANCE; CLIMATE;
D O I
10.3390/agriculture14081295
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Rural livelihood resilience (RLR) is significant for the sustainability of rural areas, farmers and agriculture. This research takes the mountainous areas of Southwest China as the study areas and integrates the buffer, adjustment and renewal capabilities to construct a RLR analysis framework and evaluation indicator system. The RLR of 234 sample counties was evaluated using set pair analysis, and the influencing factors of RLR were investigated using Geodetector. The aim is to scientifically analyze the vertical spatial differentiation and influencing factors of RLR and fully explore the risk-resistant potential of rural livelihood systems in mountainous areas. The results show that (1) From 2000 to 2020, RLR increases significantly, but the level is still low, and its structure shows a primary pattern of "buffer capability > adjustment capability > renewal capability". (2) There is no significant negative correlation between RLR and terrain gradients, especially in the middle and low mountains. RLR in high mountainous areas is significantly lower than in low and medium mountainous areas, but the gap is narrowing. There are no significant gaps in RLR and various capabilities between low and medium mountain areas. (3) Economic development, non-agricultural industries and grassroots autonomous organizations are essential determinants for RLR. Economic development, grassroots autonomous organizations and transportation conditions are more important in low and medium mountain areas, while non-agricultural industries and medical conditions contribute more to high mountainous areas. (4) To enhance the RLR, policy recommendations should place a strong emphasis on extending the agricultural industry chain, improving rural production and living infrastructure and strengthening the supply of high-quality social public services. The findings can provide a scientific basis for governments to implement rural revitalization strategies and improve farmers' well-being, as well as practical guidance for enhancing the risk resistance ability of underdeveloped mountainous rural areas.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Network Structure Features and Influencing Factors of Tourism Flow in Rural Areas: Evidence from China
    Li, Yuzhen
    Gong, Guofang
    Zhang, Fengtai
    Gao, Lei
    Xiao, Yuedong
    Yang, Xingyu
    Yu, Pengzhen
    [J]. SUSTAINABILITY, 2022, 14 (15)
  • [22] Measurement and Spatial Differentiation of Farmers' Livelihood Resilience Under the COVID-19 Epidemic Outbreak in Rural China
    Zhao, Xu
    Xiang, Hengxing
    Zhao, Feifei
    [J]. SOCIAL INDICATORS RESEARCH, 2023, 166 (02) : 239 - 267
  • [23] Measurement and Spatial Differentiation of Farmers’ Livelihood Resilience Under the COVID-19 Epidemic Outbreak in Rural China
    Xu Zhao
    Hengxing Xiang
    Feifei Zhao
    [J]. Social Indicators Research, 2023, 166 : 239 - 267
  • [24] Livelihood resilience in context of crop booms: insights from Southwest China
    Wang, Jiping
    He, Jun
    [J]. AGRICULTURE AND HUMAN VALUES, 2024,
  • [25] Do Livelihood Strategies Affect the Livelihood Resilience of Farm Households in Flooded Areas? Evidence From Hubei Province, China
    Luo, Xin
    Zhang, Chongmei
    Song, Jiahao
    Qiu, Zishan
    Li, Wenzhuo
    Wang, Wei
    [J]. FRONTIERS IN ECOLOGY AND EVOLUTION, 2022, 10
  • [26] The Influence of Poverty Alleviation Resettlement on Rural Household Livelihood Vulnerability in the Western Mountainous Areas, China
    Liu, Wei
    Xu, Jie
    Li, Jie
    [J]. SUSTAINABILITY, 2018, 10 (08)
  • [27] Dynamic livelihood impacts of COVID-19 on different rural households in mountainous areas of China
    Wang, Chengchao
    He, Xiu
    Song, Xianqiang
    Chen, Shanshan
    Luo, Dongshen
    [J]. PLOS ONE, 2022, 17 (09):
  • [28] How to restore the livelihood resilience of the rural vulnerable? Evidence from 1,356 households in rural China
    Cheng, Xin
    Yu, Ziyi
    Gao, Jingyue
    Liu, Yanting
    Dai, Yan
    Chen, Jia
    Liu, Guangjie
    Xie, Zhiju
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [29] SPATIAL DIFFERENTIATION OF URBAN ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS: EVIDENCE FROM BAIDU MIGRATION BIG DATA
    Chen, Yu
    LI, Keyang
    Zhou, Qian
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2023, 29 (02) : 353 - 381
  • [30] Early Identification and Influencing Factors Analysis of Active Landslides in Mountainous Areas of Southwest China Using SBAS-InSAR
    Ran, Peilian
    Li, Shaoda
    Zhuo, Guanchen
    Wang, Xiao
    Meng, Mingjie
    Liu, Liang
    Chen, Youdong
    Huang, Huina
    Ye, Yu
    Lei, Xiangqi
    [J]. SUSTAINABILITY, 2023, 15 (05)