The resource curse revisited and revised

By Christa N. Brunnschweiler, Erwin H. Bulte. 2006

1,161 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Building and Construction, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/c0c9054202624a0ac979add10dddadf4801985f4

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In Analytical Chemistry

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Citations in the corpus

Mining and Local Corruption in Africa (2017, background): “The latter qualification indicates that different endogeneity and selection biases may drive the proposed resource curse relationship (Brunnschweiler and Bulte, 2008).”
Coal Mining and the Resource Curse in the Eastern United States (2015, neutral): “Some studies (e.g. Brunnschweiler and Bulte 2008, Stijns 2005) find a positive resource effect employing measures based on potential resource wealth, i.e., measures of resource “abundance.””
Extending the concept of the resource curse: natural resources and public spending on health (2014, background): “Brunnschweiler and Bulte (2008) argue that the ratio of natural resource exports to GDP is a measure of resource dependence rather than abundance.”
African Mining, Gender, and Local Employment (2014, background): “Differences in resource abundance are endogenous to factors such as institutions, civil wars, and growth (Brunnschweiler and Bulte 2008a, 2008b, 2009; Brückner and Ciccone, 2010; De Luca et al. 2012).”
Natural Resource Dependence and Economic Performance in the 1970–2000 Period (2011, positive): “Collier and Goderis (2007), for example, find that commodity booms have a positive short-term effect on output, but adverse long-term effects.”
The Impact of Natural Resources: Survey of Recent Quantitative Evidence (2017, background): “…variable suffers from endogeneity issues, which is why some studies use resource abundance (the total amount of subsoil wealth) instead, to criticise the negative impact of natural resources on growth and development by finding that the curse effect then disappears (Brunnschweiler & Bulte, 2008).”
Natural Resources and Economic Growth : A Meta-Analysis (2016, methodology): “The number of reported regressions per study ranges from one (Papyrakis & Gerlagh, 2004) to fifty two (Brunnschweiler & Bulte, 2008) with a mean of 11.”
Natural Resources, Democracy and Corruption (2010, methodology): “We also use primary exports shares, which have been used by Sachs and Warner (1995) and many others, and log per capita natural capital from the World Bank, which has recently been used by Brunnschweiler and Bulte (2008).(27) We use many alternative measures of democracy.”