Coupling Coordination Analysis of County Tourism Development and Multidimensional Poverty Based on Nighttime Light Data

被引:0
|
作者
Xiao, Hai [1 ]
Yu, Jiahao [1 ]
Zhang, Yifan [1 ]
Xin, Chuliang [1 ]
Wan, Jiangjun [1 ]
Tang, Xiaohong [1 ]
机构
[1] Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611800, Peoples R China
基金
中国国家自然科学基金;
关键词
multidimensional poverty; tourism poverty reduction; nighttime light; coupling coordination; Sichuan-Chongqing region; CHINA; PERSPECTIVE; ALLEVIATION; ECONOMY; POOR;
D O I
10.3390/land13050680
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In China, tourism development is a crucial approach to poverty alleviation. With the consolidation of poverty alleviation achievements and the promotion of rural revitalization, it is of great significance to explore the relationship between tourism development and poverty alleviation from the perspective of multidimensional poverty. Therefore, this study took 28 key assistance counties for rural revitalization in the Sichuan-Chongqing region (hereinafter referred to as "key counties") as the research objects, introduced NPP-VIIRS nighttime light (NTL) data, and a coupling coordination degree (CCD) model to explore the coordination relationship and mechanism between them. The results showed that from 2015 to 2020, the tourism development index (TDI) and estimated comprehensive development index (ECDI) of the key counties increased by 112.57% and 115.12%, respectively. In addition, the spatial differences in tourism development and multidimensional poverty both showed a narrowing trend. According to the results of the CCD model, the key counties basically faced coordination obstacles in the early stage, which were mainly transformed into reluctant coordination and moderate coordination in the later stage. This indicated that tourism poverty alleviation showed a coordinated development trend overall. However, the study also found that there may not be synchronicity between tourism development and poverty alleviation and analyzed the mechanism of their interaction. Overall, the study confirmed the positive impact of tourism development on alleviating multidimensional poverty. In addition, the study found that measuring multidimensional poverty based on NTL data has a high accuracy and can provide support for poverty research. These research results have an important reference value for China to carry out sustainable tourism poverty alleviation and comprehensively promote rural revitalization.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] TOURISM DEVELOPMENT AND MULTIDIMENSIONAL POVERTY ALLEVIATION
    Zhou, Bo
    Zhao, Xuan
    Chen, Ziyao
    Zhang, Peili
    [J]. TOURISM ANALYSIS, 2024, 29 (01): : 87 - 103
  • [2] County-Level Poverty Evaluation Using Machine Learning, Nighttime Light, and Geospatial Data
    Zheng, Xiaoqian
    Zhang, Wenjiang
    Deng, Hui
    Zhang, Houxi
    [J]. REMOTE SENSING, 2024, 16 (06)
  • [3] The relationship between tourism development and multidimensional poverty reduction: A decoupling analysis
    Wang X.
    Cai P.
    [J]. Quality & Quantity, 2022, 56 (4) : 2501 - 2518
  • [4] Poverty Evaluation Using NPP-VIIRS Nighttime Light Composite Data at the County Level in China
    Yu, Bailang
    Shi, Kaifang
    Hu, Yingjie
    Huang, Chang
    Chen, Zuoqi
    Wu, Jianping
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (03) : 1217 - 1229
  • [5] Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest
    Lin, Jinyao
    Luo, Shuyi
    Huang, Yiqin
    [J]. GEOCARTO INTERNATIONAL, 2022, 37 (12) : 3590 - 3606
  • [6] Detection of Multidimensional Poverty Using Luojia 1-01 Nighttime Light Imagery
    Chengsong Li
    Wunian Yang
    Qiaolin Tang
    Xiaolu Tang
    Junjie Lei
    Mingyan Wu
    Shuyue Qiu
    [J]. Journal of the Indian Society of Remote Sensing, 2020, 48 : 963 - 977
  • [7] Detection of Multidimensional Poverty Using Luojia 1-01 Nighttime Light Imagery
    Li, Chengsong
    Yang, Wunian
    Tang, Qiaolin
    Tang, Xiaolu
    Lei, Junjie
    Wu, Mingyan
    Qiu, Shuyue
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2020, 48 (07) : 963 - 977
  • [8] Coupling coordination degree and driving factors of new-type urbanization and low-carbon development in the Yangtze River Delta: based on nighttime light data
    Dongliang Li
    Linjian Cao
    Zhanhang Zhou
    Kuokuo Zhao
    Zhinian Du
    Kaiqiang Han
    [J]. Environmental Science and Pollution Research, 2022, 29 : 81636 - 81657
  • [9] Coupling coordination degree and driving factors of new-type urbanization and low-carbon development in the Yangtze River Delta: based on nighttime light data
    Li, Dongliang
    Cao, Linjian
    Zhou, Zhanhang
    Zhao, Kuokuo
    Du, Zhinian
    Han, Kaiqiang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (54) : 81636 - 81657
  • [10] MULTI-DIMENSIONAL POVERTY IDENTIFICATION AND EVOLUTION ANALYSIS IN HEBEI PROVINCE BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA
    Sun, Yuqing
    Wang, Yanhui
    Feng, Xinran
    Gong, Zhaoning
    Duan, Fuzhou
    Zhao, Wenji
    [J]. GEOSPATIAL WEEK 2023, VOL. 48-1, 2023, : 573 - 579