From the coast to the interior: global economic evolution patterns and mechanisms.

It is well established that nighttime light brightness value, which is measured from satellites, correlates with economic prosperity across the globe. Researchers have diverged over whether economic factors cluster in coastal areas or move to interior areas. By using nighttime light data and applyin...

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Publicado en:Humanities & Social Sciences Communications Vol. 10; no. 1; pp. 1 - 14
Autores principales: Jin, Xiaoming, Luan, Weixin, Yang, Jun, Yue, Wenze, Wan, Shulin, Yang, Di, Xiao, Xiangming, Xue, Bing, Dou, Yue, Lyu, Fangzheng, Wang, Shaohua
Formato: Artículo
Publicado: Springer Nature 11/20/2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1057/s41599-023-02234-4
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        atl: From the coast to the interior: global economic evolution patterns and mechanisms.
      aug:
        au:
          Jin, Xiaoming
          Luan, Weixin
          Yang, Jun
          Yue, Wenze
          Wan, Shulin
          Yang, Di
          Xiao, Xiangming
          Xue, Bing
          Dou, Yue
          Lyu, Fangzheng
          Wang, Shaohua
        affil:
          https://ror.org/002b7nr53 School of Maritime Economics and Management, Dalian Maritime University, 116026, Dalian, China
          https://ror.org/03awzbc87 Urban Climate and Human Settlements Research' Lab, Jangho Architecture College, Northeastern University, 110169, Shenyang, China
          https://ror.org/04c3cgg32 Human Settlements Research Center, Liaoning Normal University, 116029, Dalian, China
          https://ror.org/00a2xv884 Department of Land Management, Zhejiang University, 310058, Hangzhou, China
          https://ror.org/02aqsxs83 Department of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, 73019, Norman, OK, USA
          Institute of Applied Ecology, Chinese Academy of Sciences, 110016, Shenyang, China
          https://ror.org/006hf6230 Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS), University Twente, 7522 NB, Enschede, The Netherlands
          https://ror.org/047426m28 Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA
          Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China
          State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China
      su:
        Random forest algorithms
        Economic impact
        Economic structure
        Economic globalization
        Coastal zone management
      sug:
        subj:
          Random forest algorithms
          Economic impact
          Economic structure
          Economic globalization
          Coastal zone management
      ab: It is well established that nighttime light brightness value, which is measured from satellites, correlates with economic prosperity across the globe. Researchers have diverged over whether economic factors cluster in coastal areas or move to interior areas. By using nighttime light data and applying the random forest algorithm to measure the proportion of global "near regions" GDP, it was seen that global GDP decreased from 67.25% in 2000 to 63.02% in 2018. This research reveals that under the continuous promotion of economic globalization, there is still a spatial imbalance of economic development between global "near regions" and "far regions"; however, economic factors are gradually shifting to interior areas and forming a "coastal remoteness" evolution pattern. Within the intercontinental range, there are obvious differences in the evolution patterns and spatial structure of economic development between the sub-regions. The reduction of overseas transportation costs and diseconomies of scale are the primary reasons for the evolution of "coastal remoteness" in global economic development. Our findings can facilitate future policymaking and the management of global coastal and interior areas, as well as establish new horizons for relevant research topics within the context of land and marine-coordinated development.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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