Institutions and the resource curse: New insights from causal machine learning

PLoS One. 2023 Jun 1;18(6):e0284968. doi: 10.1371/journal.pone.0284968. eCollection 2023.

Abstract

There is a widely held belief that natural resource rents are a blessing if institutions are strong, but a curse if institutions are weak. We use data from 3,800 Sub-Saharan African districts and apply a causal forest estimator to reassess the relationship between institutions and the effects of resource rents. Consistent with this belief, we document that stronger institutions increase the positive effect of the presence of mining activities on economic development and dampen the negative effect of mining activities on conflict. In contrast, we find that the effects of higher world mineral prices on economic development and conflict in mining districts are non-linear and vary little in institutional quality.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Causality
  • Economic Development*
  • Machine Learning
  • Natural Resources*

Grants and funding

RH and PR: ARC Discovery Grant DP150100061, Australian Research Council, https://www.arc.gov.au/ ML: SNSF 407540_166999, NRP 75 of the Swiss Science Foundation, https://www.snf.ch/en The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.