Geocoded Natural Resource Concessions in Liberia

Liberia Concessions Geocoded Research Release, Version 1.0

Download

Summary

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.

Official Citation

Please cite the dataset using its associated working paper:

Bunte, Jonas B., Harsh Desai, Kanio Gbala, Brad Parks, Daniel Miller Runfola. 2017. Natural Resource Sector FDI and Growth in Post-Conflict Settings: Subnational Evidence from Liberia. AidData Working Paper #34. Williamsburg, VA: AidData. Accessed at http://aiddata.org/working-papers

Metadata

Version

Version 1.0

(Most Current Version)

(Most Current Geocoded Version)

Methodology

Geocoded

SDG Coded

Natural Resource Concessions

TUFF

Survey Results

Specifications

Publication Date:

Oct 2016

Starting Year:

2001

Ending Year:

2015

Number of Entries:

557

File Size

File Size

Full Description

In partnership with the Concessions Working Group in Monrovia and with funding from Humanity United, AidData has developed a first-of-its-kind dataset of all known natural resource concessions granted to investors in Liberia from 2004 to 2015. We systematically categorized 557 concessions on 43 different dimensions, including the names and nationalities of the investors, the nature of the rights granted to these investors (exploratory or extractive), and the presence or absence of contractual commitments to undertake corporate social responsibility activities. This geocoded dataset release represents all concession licenses sourced, as of June 15, 2016, from the Liberian Extractive Industries Transparency Initiative (LEITI), the Mining Cadastre Administration System (MCAS), and the Liberia National Concessions Portal (LNCP), along with additional information collected using AidData's TUFF open-source data collection methodology. We also developed a novel, polygon-based (rather than point-based) geocoding methodology that identifies the specific tracts of land granted to investors to explore, develop, extract, or sell natural resources.To the extent possible, this dataset follows the guidance outlined by the Open Contracting Data Standard, v1.0., a core product of the Open Contracting Partnership (OCP).

Related Documents

Related Datasets