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Research data

Managing resource-related conflict

Roy (Thormann), Vita
German Institute for Global and Area Studies (GIGA). Data File Version 1.0.0, https://doi.org/10.7802/1452
Abstract: Despite a well-documented link between resource production and political instability, little is known about what forms of resource management can disrupt the resource-conflict link and contribute to stability. The dataset “Managing resource-related conflict” presents event-based data on postconflict resource management after countries have experienced armed conflict related to lootable resource extraction from 1945-2013. The dataset contains four resource management strategies (exclusionary, shared, transformative, paternalistic) based on two dimensions (inclusion in resource governance, distr ... more
Availability: Free access (without registration)
License: CC BY-NC 4.0: Namensnennung– Nicht kommerziell (http://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: International Relations, International Politics, Foreign Affairs, Development Policy

Methodology

Date(s) of Data Collection: 1945;2013
Geographic coverage: Afghanistan / AF | Angola / AO | Central African Republic / CF | Cambodia / KH | Congo, Democratic Republic of the / CD | Guinea / GN | Indonesia / ID | Liberia / LR | Papua New Guinea / PG | Peru / PE | Philippines / PH | Senegal / SN | Sierra Leone / SL | Côte dIvoire / CI
Geographic coverage (free): Burma, Socialist Republic of the Union of / BUMM

Bibliographic information

Primärforschende, Institution: Roy (Thormann), Vita; GIGA German Institute of Global and Area Studies
Publication year: 2017
DOI: 10.7802/1452
Study number: SDN-10.7802-1452
Publisher: German Institute for Global and Area Studies (GIGA)

Versions

Current Version: 1.0.0, https://doi.org/10.7802/1452

Reference publications

Publications: Vita, Roy (2016): Managing Resource-related Conflict. A Framework of Lootable Resource Management and Postconflict Stabilization

Cite

Roy (Thormann), Vita (2017). Managing resource-related conflict. German Institute for Global and Area Studies (GIGA). Data File Version 1.0.0, https://doi.org/10.7802/1452.

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