Mapping social conflicts in natural resources. A text-mining study in mining activities
Applying text-mining techniques we have developed a methodology that measures the number of social conflicts related to the exploitation of nonrenewable natural resources. We focused on conflicts in four mining countries (Australia, Canada, Chile, and Peru) from 2003 to 2016 considering more than...
Guardado en:
| Autores principales: | , |
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| Formato: | Documento de trabajo |
| Lenguaje: | en_US |
| Publicado: |
University Library of Munich
2019
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| Materias: | |
| Acceso en línea: | https://mpra.ub.uni-muenchen.de/93155/1/MPRA_paper_93155.pdf http://repositorio.cedes.org/handle/123456789/4516 |
| Aporte de: |
| Sumario: | Applying text-mining techniques we have developed a methodology that measures the number of social
conflicts related to the exploitation of nonrenewable natural resources. We focused on conflicts in four
mining countries (Australia, Canada, Chile, and Peru) from 2003 to 2016 considering more than 20,000
articles from the major newspaper of each country. From our data we detected cross-country and crossregional differences and changes in time patterns. We found a statically significant correlation between
our main index and mineral rents in % in GDP. However, our results should be interpreted with caution
since we have not taken into account endogeneity issues and our indexes could be biased by different
level of lobby powers among our country sample. Our main contribution is the generation of novel
database with different indexes of soft conflicts related to the exploitation of non-renewables natural
resources and its media coverage in Australia, Canada, Chile and Peru. |
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