Natural Resources and Local Communities: Evidence from a Peruvian Gold Mine

By F. Aragón, J. Rud. 2013

425 citations recorded by the source corpus.

Subfields: Building and Construction, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/cc173372b97faf52901be8e51413405f70bcfef5

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In Building and Construction

In Economics and Econometrics

Citations in the corpus

Dutch Disease or Agglomeration? The Local Economic Effects of Natural Resource Booms in Modern America (2018, neutral): “[2] Aragon, Fernando, and Juan Pablo Rud (2011).”
This Mine is Mine! How Minerals Fuel Conflicts in Africa (2015, positive): “Recently, some papers have used disaggregated data on natu-ral resources and conflict for one particular country, such as Dube and Vargas ( 2013 ) on oil in Colombia; Aragón and Rud ( 2013 ) on a gold mine in Peru; Maystadt et al. ( 2014 ) on minerals in the DRC; and Sanchez de la Sierra ( 2015 ) on”
Polluting Industries and Agricultural Productivity: Evidence from Mining in Ghana (2016, positive): “See Aragon and Rud (2013) for a discussion. Anecdotal evidence for Ghana can be found in Aryeetey et al. (2007) (5)See Graff Zivin and Neidell (2013) and Currie et al. (2014) for a comprehensive review of this literature.”
The Local Impact of Mining on Poverty and Inequality: Evidence from the Commodity Boom in Peru (2016, background): “Aragon and Rud (2013) study the effects of the Yanacocha gold mine in Peru, the second largest in the world, and find a geographically widespread positive impact.”
The Local Economic Impacts of Natural Resource Extraction (2015, background): “Notable examples include a study of the Yanacocha goldmine in Peru (Aragon and Rud, 2013) which uses mine output and company procurement practices over time to estimate the welfare effects of the mine on its hinterland.”
African Mining, Gender, and Local Employment (2014, background): “The effects of natural resource extraction on the local economy are often described in terms of linkages and multipliers (e.g., Eggert, 2002; Aragon and Rud, 2013b).”
Winners and Losers from a Commodities-for-Manufactures Trade Boom (2016, neutral): “Table 1: Brazilian Microregion-Level Summary Statistics 2000 All microregions Top quintile of ISm Top quintile of XDm (1) (2) (3) Workforce (thousands) 231.”