An Open-Source Methodology for Tracking Natural Resource Concessions in Liberia: Version 1.0
Oct 1, 2016
Harsh Desai, Miranda Zhonghui Lv, Charles Perla, Brad Parks
Desai, H., Lv, M.Z., Perla, C., & Parks, B. (2016). An Open-Source Methodology for Tracking Natural Resource Concessions in Liberia: Verison 1.0. Williamsburg, VA: AidData at William & Mary.
In order to further research the conditions by which natural resource concessions contribute to Liberia’s economic growth, AidData has developed a geo-referenced database of more than 500 concession licenses in Liberia between 2004 (the end of the Liberian civil war) and 2015. Each license is geo-referenced as a polygon with more than 40 attributes, making this methodology's associated database (Liberia Concessions Geocoded Research Release, Version 1.0) a first-of-its-kind application of using open-source methods to comprehensively track, capture, and locate activities in the extractives sector. This methodology describes the data collection and geo-referencing process for this database in detail. For the associated AidData Working Paper, see Natural Resource Sector FDI and Growth in Post-Conflict Settings: Subnational Evidence from Liberia.
For a full list of methodologies, see Research Methods.
Funding: Generous funding for this project was provided by Humanity United, the William and Flora Hewlett Foundation, and the International Growth Centre.
Natural Resource Sector FDI and Growth in Post-Conflict Settings: Subnational Evidence from Liberia
Jonas B. Bunte, Harsh Desai, Kanio Gbala, Brad Parks, Daniel Miller Runfola
Geocoded Natural Resource Concessions in Liberia
Liberia Concessions Geocoded Research Release, Version 1.0
This first-of-its-kind geocoded dataset contains all known natural resource concessions granted to investors in Liberia from 2004 to 2015, categorized on 43 different dimensions. The release contains 557 concession licenses sourced from both official systems and transparency initiatives in Liberia, along with additional information collected using AidData's TUFF open-source data collection methodology.
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