Abstract

AidData’s Global Chinese Development Finance Dataset (Version 3.0) provides detailed information about more than 20,000 development projects across 165 low- and middle-income countries financed by 791 official sector Chinese donors and lenders from 2000 to 2021. In this study, we introduce a methodology for identifying the geospatial features of these projects. Our application of the methodology has resulted in the Geospatial Global Chinese Development Finance Dataset (Version 3.0), which captures the geospatial features of 9,405 projects across 148 low- and middle-income countries supported by Chinese grant and loan commitments worth more than USD 830 billion. The dataset provides details for 6,266 projects containing spatial definitions of roads, railways, power plants, transmission lines, buildings, and other precisely geocoded features. It identifies approximate and administrative-level locations for 3,139 additional projects. The methodology, dataset, and the code used to construct the dataset have been made publicly available to facilitate replication and future applications.

Details

Title
AidData’s Geospatial Global Chinese Development Finance Dataset
Author
Goodman, Seth 1 ; Zhang, Sheng 1   VIAFID ORCID Logo  ; Malik, Ammar A. 1 ; Parks, Bradley C. 1 ; Hall, Jacob 1 

 William & Mary, AidData, Williamsburg, USA (GRID:grid.264889.9) (ISNI:0000 0001 1940 3051) 
Pages
529
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3066605940
Copyright
© The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.