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    • Spatiotemporal variations in nighttime lights in poverty-stricken counties in China

    • In the final year of the battle against poverty, it is particularly important for China to evaluate the effectiveness of poverty reduction. This study conducted an in-depth exploration of poverty reduction in 831 impoverished counties and 14 extremely impoverished areas across the country through unique nighttime light remote sensing data. The results show that the economic level of most poverty-stricken counties has significantly improved, but there are still some counties where the nighttime light intensity has decreased, mainly distributed in the western region. In addition, the study also identified four types of nighttime light changes in extremely impoverished areas, revealing the clustering and constraint phenomena of poverty-stricken counties in specific regions. Of particular note is that poverty-stricken counties implementing poverty alleviation pathways such as infrastructure, characteristic industries, asset returns, and relocation have shown significant changes in nighttime lighting. This study not only provides us with a new perspective for evaluating the effectiveness of poverty reduction, but also provides important references for the construction of long-term mechanisms to address relative poverty.
      • role:First author第一作者
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      • Email:51193901048@stu.ecnu.edu.cn
      • Introduction:华婧,研究方向为夜间灯光遥感及其在贫困研究中的应用。E-mail: 51193901048@stu.ecnu.edu.cn

      HUA Jing

      12,
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      WU Bin

      12,
      • Affiliation:

        Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China

        The Academy of Digital China, Fuzhou University, Fuzhou 350116, China

      CHEN Zuoqi

      34,
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      YANG Chengshu

      12,
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      TANG Xi

      12,
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      SUN Feiran

      12,
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      WU Jianping

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China

        School of Geographic Sciences, East China Normal University, Shanghai 200241, China

      • Email:blyu@geo.ecnu.edu.cn
      • Introduction:余柏蒗,研究方向为夜间灯光遥感及城市遥感。E-mail:blyu@geo.ecnu.edu.cn

      YU Bailang

      12 *
    • Vol. 28, Issue 4, Pages: 940-955(2024)  
    • DOI:10.11834/jrs.20221856    

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