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ESR 2 Mining and Poverty – A focus on artisanal mining and on CSR in industrial mining

Reference No.:
ESR 2

Objectives:
The first objective is to explore the effects of artisanal mining on living standards and poverty. Using geo-localized data on households, the goal is to provide solid evidence of the effects of such activities on living standards and poverty at the local level. The second objective is to focus on Corporate Social Responsibility of industrial mining. The analysis requires the evaluation of different CSR policies of large mining firms and the exploration of the local effects based on geo-localized household data sets. A legal analysis will be conducted, focusing on working conditions and the legal framework applying to different mining companies. The empirical analysis would be focused on Burkina Faso, Ghana and South Africa.

Recruiting University:
Centre National de Recherche Scientifique, University Paris 1 Panthéon Sorbonne (UP1), France

Partner University:
Vrije Universiteit Amsterdam (VU Amsterdam), Netherlands


Research Directors:
Prof. Dr. Rémi Bazillier (Centre d’Economie de la Sorbonne UP1, Centre National de Recherche Scientifique)
Prof. Dr. Marjo de Theije (Faculty of Social Sciences, Social and Cultural Anthropology, VU Amsterdam)

Secondments:
The project involves a strong collaboration between the Centre National de Recherche Scientifique/ Centre d’Economie de la Sorbonne at UP1 and VU Amsterdam and includes mandatory research stays of the ESR in Amsterdam for six months in total.
Further secondments are planned at the Centre for Research on Multinational Corporations (SOMO), Netherlands (3 months) and as field research periods in Africa (1,5 months each), supervised by the University of Douala (Cameroon) and the University of Cape Town (South Africa).

Specific selection criteria for this ESR position:
The successful candidate has completed an internationally recognised Masters’ programme in economics with above-average GPA and excellent marks in econometrics. Specialisations in development economics during the Masters’ would be an advantage. The candidate should have solid knowledge in econometrics software (Stata or R). Knowledge in geo-localized data and software (QGIS) would be an additional plus.


Please see also:

Institute of Development Research and Development Policy
Ruhr University Bochum
Room 2.04
Universitaetsstr. 105
D-44789 Bochum

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