Analysis of Economic Vitality and Development Equilibrium of China's Three Major Urban Agglomerations Based on Nighttime Light Data

被引:0
|
作者
Liu, Saimiao [1 ,2 ]
Liu, Wenliang [1 ,2 ]
Zhou, Yi [1 ,2 ]
Wang, Shixin [1 ,2 ]
Wang, Zhenqing [1 ,2 ]
Wang, Zhuochen [1 ,2 ]
Wang, Yanchao [1 ,2 ]
Wang, Xinran [1 ,2 ]
Hao, Luoyao [1 ,2 ]
Wang, Futao [1 ,2 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
Nighttime Light Development Index (NLDI); urban agglomeration; economic vitality; development equilibrium; Sustainable Development Goals (SDGs); URBANIZATION; DMSP/OLS; INEQUALITY; DYNAMICS; GROWTH;
D O I
10.3390/rs16234571
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Eliminating poverty, reducing inequality, and achieving balanced development are one of the United Nations Sustainable Development Goals. Objectively and accurately measuring regional economic vitality and development equilibrium is a pressing scientific issue that needs to be addressed in order to achieve common prosperity. Nighttime light (NTL) remote sensing data have been proven to be a good proxy variable for socio-economic development, and are widely used due to their advantages of convenient access and wide spatial coverage. Based on multi-source data, this study constructs an Economic Development Index (EDI) that comprehensively reflects regional economic vitality from two aspects, economic quality and development potential, combines the Nighttime Light Development Index (NLDI) as the evaluation indicators to measure the economic vitality and development equilibrium, analyzes the economic vitality and development equilibrium of 300 district and county units in China's three major urban agglomerations from 2000 to 2020 and their temporal and spatial variation characteristics, and discusses the connotation of EDI and its availability. The results show the following: (1) From 2000 to 2020, the average growth rate of EDI in China's three major urban agglomerations reached 36.32%, while the average decrease rate of NLDI reached 38.75%; both economic vitality and the development equilibrium have been continuously enhanced. Among them, the Yangtze River Delta (YRD) urban agglomeration experienced the fastest economic growth, while the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) exhibited the strongest economic strength. (2) Both economic vitality and the development equilibrium in these three urban agglomerations exhibited distinct spatial agglomeration characteristics, namely center-surrounding distribution, coastal-inland distribution, and radial belt-pole distribution, respectively. (3) Over the past two decades, the economic development of these three urban agglomerations has progressed towards the pattern of regional coordinated development, pole-driven development and urban-rural integrated development. The research results can provide new research perspectives and scientific support for promoting regional balanced development, achieving sustainable development goals, and reducing inequality.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] A study on dynamic evolution, regional differences and convergence of high-quality economic development in urban agglomerations: A case study of three major urban agglomerations in the Yangtze river economic belt
    Zha, Qifen
    Liu, Zhen
    Song, Zhihui
    Wang, Jian
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [22] Economic Efficiency and Its Influencing Factors on Urban Agglomeration-An Analysis Based on China's Top 10 Urban Agglomerations
    Ma, Junwei
    Wang, Jianhua
    Szmedra, Philip
    SUSTAINABILITY, 2019, 11 (19)
  • [23] A Review and Comparative Analysis on Energy Transition in China's Three Emerging Urban Agglomerations
    Hou, Jianchao
    Jian, Jinhua
    Liu, Pingkuo
    2020 INTERNATIONAL CONFERENCE ON CLIMATE CHANGE, GREEN ENERGY AND ENVIRONMENTAL SUSTAINABILITY (CCGEES 2020), 2021, 228
  • [24] Differential Spatiotemporal Patterns of CO2 Emissions in Eastern China's Urban Agglomerations from NPP/VIIRS Nighttime Light Data Based on a Neural Network Algorithm
    Zhou, Lei
    Song, Jun
    Chi, Yonggang
    Yu, Quanzhou
    REMOTE SENSING, 2023, 15 (02)
  • [25] Evaluating urban development and socio-economic disparity in India through nighttime light data
    Yu, Jingtong
    Liu, Lingcen
    Ban, Yifang
    Zhang, Qian
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 34 (12) : 2440 - 2456
  • [26] The effect of the digital economy service industry on regional economic resilience: evidence from three major urban agglomerations in China
    Ye, Tanglin
    Liang, Xinruo
    Zhu, Heliang
    Ye, Jinze
    Jiang, Cheng
    APPLIED ECONOMICS, 2024,
  • [27] Evaluating urban development and socio-economic disparity in India through nighttime light data
    YU Jingtong
    LIU Lingcen
    BAN Yifang
    ZHANG Qian
    Journal of Geographical Sciences, 2024, 34 (12) : 2440 - 2456
  • [28] A Rapid and Automated Urban Boundary Extraction Method Based on Nighttime Light Data in China
    Liu, Xiaojiang
    Ning, Xiaogang
    Wang, Hao
    Wang, Chenggang
    Zhang, Hanchao
    Meng, Jing
    REMOTE SENSING, 2019, 11 (09)
  • [29] Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data
    Tan, Minghong
    SUSTAINABILITY, 2015, 7 (07) : 8768 - 8781
  • [30] The nitrogen footprints of China's major urban agglomerations: understanding regional challenges to advance sustainable development
    Xian, Chaofan
    Wu, Tong
    Lu, Fei
    Zhang, Jingjing
    Gong, Cheng
    Ouyang, Zhiyun
    ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (04)