The curse of natural resources: An empirical investigation of U.S. counties §

By A. James, David Aadland. 2011

312 citations recorded by the source corpus.

Subfields: Building and Construction, Demography, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/b88b74dc998fbdb136f8412336be6152f60518c9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Shuai Shao
2. Lili Yang
3. E. Papyrakis
4. A. James
5. Jeremy Clark
6. Abdul Munasib
7. Ramez Abubakr Badeeb
8. Hooi Hooi Lean

In Demography

1. A. James
2. E. Papyrakis
3. Mark D. Partridge
4. Hooi Hooi Lean
5. E. Gilberthorpe

In Economics and Econometrics

1. Shuai Shao
2. Lili Yang
3. Mark D. Partridge
4. D. Rickman
5. A. James
6. E. Papyrakis
7. Muhammad Shahbaz
8. E. Gilberthorpe

Citations in the corpus

• Coal Mining, Economic Development, and the Natural Resource Curse (2015, background): “Similarly, Freeman (2009) finds agriculture and mining employment is significantly and negatively correlated with GSP. James and Aadland (2011) find that the county share of primary sector earnings is negatively correlated with annual growth in per capita income, further suggesting that the negative”
• The evolution of the natural resource curse thesis: A critical literature survey (2017, background): “…have avoided it; e.g. Papyrakis and Gerlagh (2007) for the United States; Pegg (2010) for Botswana; De Gregorio and Labbe 18 (2011) for Chile; Gylfason (2011) for Norway, James and Aadland (2011) for the United States, Botswana and Mauritius; Loyeza et al. (2013) for Peru; and Liu (2014) for China.”
• Coal Mining and the Resource Curse in the Eastern United States (2015, unknown): “For example, following James and Aadland (2011), measuring resource abundance as the share of total earnings in agriculture, forestry, fishing, and mining (AFFM) yields a negative and significant coefficient.”
• The Resource Curse: A Statistical Mirage? (2015, background): “A large literature documents a robust negative relationship between economic growth and resource dependence (Sachs and Warner, 1995, 1999, 2001; Papyrakis and Gerlagh, 2007; James and Aadland, 2010).”
• Natural resource dependence, human capital accumulation, and economic growth: A combined explanation for the resource curse and the resource blessing (2014, background): “…level (e.g., Sachs and Warner, 1995, 2001; Gylfason, 2001; Papyrakis and Gerlagh, 2004a; Gylfason and Zoega, 2006; Mehrara, 2009) and the regional level within a country (e.g., Papyrakis and Gerlagh, 2007; Zhang et al., 2008; Shao and Qi, 2009a; Shao and Yang, 2010; James and Aadland, 2011).”
• The extractive industries and development: The resource curse at the micro, meso and macro levels (2015, background): “…Gerlagh (2007), for example, verified that resource-rich US states lagged behind in long-term growth (as a result of reduced investment, lower educational attainments and trade openness and higher corruption; James and Aadland (2011) find similar evidence at the more disaggregated county level).”
• Regional Economic Impacts of the Shale Gas and Tight Oil Boom: A Synthetic Control Analysis (2014, background): “…2 A number of studies have examined whether there is a resource curse in the United States (e.g., Black et al., 2005; Papyrakis and Gerlagh, 2007; James and Aadland, 2011; Michaels, 2011; Douglas and Walker, 2012), but they are focused on energy development in regions broadly, where fluctuations…”