From the coast to the interior: global economic evolution patterns and mechanisms
Abstract 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 an...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Springer Nature
2023-10-01
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Series: | Humanities & Social Sciences Communications |
Online Access: | https://doi.org/10.1057/s41599-023-02234-4 |
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author | Xiaoming Jin Weixin Luan Jun Yang Wenze Yue Shulin Wan Di Yang Xiangming Xiao Bing Xue Yue Dou Fangzheng Lyu Shaohua Wang |
author_facet | Xiaoming Jin Weixin Luan Jun Yang Wenze Yue Shulin Wan Di Yang Xiangming Xiao Bing Xue Yue Dou Fangzheng Lyu Shaohua Wang |
author_sort | Xiaoming Jin |
collection | DOAJ |
description | Abstract 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. |
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format | Article |
id | doaj.art-dec44e1b397f4698b2de9abe66e18629 |
institution | Directory Open Access Journal |
issn | 2662-9992 |
language | English |
last_indexed | 2024-03-09T15:24:49Z |
publishDate | 2023-10-01 |
publisher | Springer Nature |
record_format | Article |
series | Humanities & Social Sciences Communications |
spelling | doaj.art-dec44e1b397f4698b2de9abe66e186292023-11-26T12:38:30ZengSpringer NatureHumanities & Social Sciences Communications2662-99922023-10-0110111310.1057/s41599-023-02234-4From the coast to the interior: global economic evolution patterns and mechanismsXiaoming Jin0Weixin Luan1Jun Yang2Wenze Yue3Shulin Wan4Di Yang5Xiangming Xiao6Bing Xue7Yue Dou8Fangzheng Lyu9Shaohua Wang10School of Maritime Economics and Management, Dalian Maritime UniversitySchool of Maritime Economics and Management, Dalian Maritime UniversityUrban Climate and Human Settlements Research’ Lab, Jangho Architecture College, Northeastern UniversityDepartment of Land Management, Zhejiang UniversitySchool of Maritime Economics and Management, Dalian Maritime UniversitySchool of Maritime Economics and Management, Dalian Maritime UniversityDepartment of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of OklahomaInstitute of Applied Ecology, Chinese Academy of SciencesFaculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS), University TwenteDepartment of Geography and Geographic Information Science, University of Illinois at Urbana-ChampaignKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1057/s41599-023-02234-4 |
spellingShingle | Xiaoming Jin Weixin Luan Jun Yang Wenze Yue Shulin Wan Di Yang Xiangming Xiao Bing Xue Yue Dou Fangzheng Lyu Shaohua Wang From the coast to the interior: global economic evolution patterns and mechanisms Humanities & Social Sciences Communications |
title | From the coast to the interior: global economic evolution patterns and mechanisms |
title_full | From the coast to the interior: global economic evolution patterns and mechanisms |
title_fullStr | From the coast to the interior: global economic evolution patterns and mechanisms |
title_full_unstemmed | From the coast to the interior: global economic evolution patterns and mechanisms |
title_short | From the coast to the interior: global economic evolution patterns and mechanisms |
title_sort | from the coast to the interior global economic evolution patterns and mechanisms |
url | https://doi.org/10.1057/s41599-023-02234-4 |
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