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Geolocated dataset of Chinese overseas development finance
China is now the world’s largest source of bilateral development finance and will likely continue to play a prominent role in sovereign lending through its multi-billion-dollar Belt and Road Initiative. This paper introduces major methodological enhancements in tracking this finance: the use of an o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452632/ https://www.ncbi.nlm.nih.gov/pubmed/34545086 http://dx.doi.org/10.1038/s41597-021-01021-7 |
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author | Ray, Rebecca Gallagher, Kevin P. Kring, William Pitts, Joshua Simmons, B. Alexander |
author_facet | Ray, Rebecca Gallagher, Kevin P. Kring, William Pitts, Joshua Simmons, B. Alexander |
author_sort | Ray, Rebecca |
collection | PubMed |
description | China is now the world’s largest source of bilateral development finance and will likely continue to play a prominent role in sovereign lending through its multi-billion-dollar Belt and Road Initiative. This paper introduces major methodological enhancements in tracking this finance: the use of an original application programming interface (API) to gathers news in multiple languages; double-verification of every record to ensure every finance commitment has been formalized; and visual geo-location to trace the precise footprint of every project. The resulting dataset enables economic, environmental, and social analyses with high-precision spatial accuracy, as well as spatiotemporal monitoring by project stakeholders and enhanced planning by project managers. It covers the years 2008–2019 to enable analysis before and after the announcement of the Belt and Road Initiative. It includes 862 finance commitments, 669 of which have geographic location, to 94 countries across the world. |
format | Online Article Text |
id | pubmed-8452632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84526322021-10-05 Geolocated dataset of Chinese overseas development finance Ray, Rebecca Gallagher, Kevin P. Kring, William Pitts, Joshua Simmons, B. Alexander Sci Data Data Descriptor China is now the world’s largest source of bilateral development finance and will likely continue to play a prominent role in sovereign lending through its multi-billion-dollar Belt and Road Initiative. This paper introduces major methodological enhancements in tracking this finance: the use of an original application programming interface (API) to gathers news in multiple languages; double-verification of every record to ensure every finance commitment has been formalized; and visual geo-location to trace the precise footprint of every project. The resulting dataset enables economic, environmental, and social analyses with high-precision spatial accuracy, as well as spatiotemporal monitoring by project stakeholders and enhanced planning by project managers. It covers the years 2008–2019 to enable analysis before and after the announcement of the Belt and Road Initiative. It includes 862 finance commitments, 669 of which have geographic location, to 94 countries across the world. Nature Publishing Group UK 2021-09-20 /pmc/articles/PMC8452632/ /pubmed/34545086 http://dx.doi.org/10.1038/s41597-021-01021-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Ray, Rebecca Gallagher, Kevin P. Kring, William Pitts, Joshua Simmons, B. Alexander Geolocated dataset of Chinese overseas development finance |
title | Geolocated dataset of Chinese overseas development finance |
title_full | Geolocated dataset of Chinese overseas development finance |
title_fullStr | Geolocated dataset of Chinese overseas development finance |
title_full_unstemmed | Geolocated dataset of Chinese overseas development finance |
title_short | Geolocated dataset of Chinese overseas development finance |
title_sort | geolocated dataset of chinese overseas development finance |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452632/ https://www.ncbi.nlm.nih.gov/pubmed/34545086 http://dx.doi.org/10.1038/s41597-021-01021-7 |
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