Spatial-temporal characteristics of the coupling coordination of social security and economic development in China during 2002–2018

被引:2
|
作者
LI Qiong [1 ]
ZHAO Yang [1 ]
LI Songlin [1 ]
ZHANG Lanlan [2 ]
机构
[1] Business School, Jishou University
[2] Rennes School of Business
关键词
D O I
暂无
中图分类号
D632.1 [社会保障与社会福利]; F124 [经济建设和发展];
学科分类号
120404 ;
摘要
Clarifying the relationship between social security and economic development is helpful to realize the sustainable social security system and the stable function of sustainable economic development. In this paper, the entropy method, coupling coordination degree, standard deviation ellipse model, and spatial autocorrelation were used to study the spatial-temporal characteristics of coupling coordination of social security and economic development in China from 2002 to 2018. The results indicate that the relationship between social security and economic development in China has been gradually strengthened in the process of mutual adaptation and common development. The benign interaction between the two was unstable, though the coupling coordination degree gradually transitioned to the primary coupling coordination type. Besides, from a spatial perspective, first, the coupling coordination degree of social security and economic development in China contracted in the east-west and north-south directions, and the coupling coordination clustered in the central region in this period; second, the coupling coordination degree generally presented a positive spatial autocorrelation, and regions with similar coupling coordination degrees were in a state of agglomeration; finally, the hot spots clumped together to form a continuous area in the eastern coastal area while the cold spots expanded toward the northwest and northeast. Furthermore, the random distribution areas exhibited a trend of contraction.
引用
收藏
页码:116 / 129
页数:14
相关论文
共 50 条
  • [21] Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China
    Wang, Na
    Fu, Xiaodong
    Wang, Shaobin
    APPLIED ENERGY, 2022, 309
  • [22] Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China
    Wang, Na
    Fu, Xiaodong
    Wang, Shaobin
    Applied Energy, 2022, 309
  • [23] Spatial-temporal characteristics of temperature variation in China
    W. Qian
    A. Qin
    Meteorology and Atmospheric Physics, 2006, 93 : 1 - 16
  • [24] Spatial-temporal characteristics of temperature variation in China
    Qian, W
    Qin, A
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2006, 93 (1-2) : 1 - 16
  • [25] Spatial-Temporal Analysis of Coupling Coordination Between New Urbanization and Ecological Environment in Ya'an, China
    Wei, Wei
    Xiao, Lei
    Zhang, Xiao
    Jin, Luyao
    Wang, Di
    Long, Xin
    Yang, Qiaoqiao
    Li, Jinxiang
    Zhou, Ying
    LAND, 2025, 14 (01)
  • [26] The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005–2018
    Jinou Chen
    Yubing Qiu
    Rui Yang
    Ling Li
    Jinglong Hou
    Kunyun Lu
    Lin Xu
    BMC Public Health, 19
  • [27] Research on the Spatial-Temporal Disparity and Convergence Characteristics of Innovation and Economic Development in China: Based on Functional Data Analysis
    Zhao, Dejin
    Tu, Xiaming
    Meng, Yujie
    Zhao, Xindong
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2023, 27 (06) : 999 - 1011
  • [28] The Spatial-Temporal Variation of Tropospheric NO2 over China during 2005 to 2018
    Wang, Chunjiao
    Wang, Ting
    Wang, Pucai
    ATMOSPHERE, 2019, 10 (08)
  • [29] Spatial-Temporal Coupling Analysis of the Coordination between Urbanization and Water Ecosystem in the Yangtze River Economic Belt
    Han, Han
    Li, Huimin
    Zhang, Kaize
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (19)
  • [30] The research on the mechanism and spatial-temporal differentiation of the coupling coordination development based on industrial cluster agglomeration
    Cong, Haibin
    Zou, Deling
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (01): : 195 - 213