On the Effect of Foreign Aid on Corruption
By Simplice A. Asongu. 2012
134 citations recorded by the source corpus.
Subfields: Development, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/4b089e7d70183db114e40e4fa80e10830c98b2ec
Citations in the corpus
- Foreign Aid and Inclusive Development: Updated Evidence from Africa, 2005-2012 (2017, unknown): “…reader can start from Okada & Samreth (2012) before exploring the plethora of studies that are focused on the underlying paper, inter alia: Asongu (2012, 2013), Asongu & Jellal (2013) and Efobi et al. (2014). complement this dimension on variables by using seven different types of aid…”
- Fighting terrorism in Africa: Benchmarking policy harmonization (2018, unknown): “On the other hand, the wealth of nations in Africa has also been documented to be exogenous to government quality (Asongu, 2012c), which is needed in the fight against terrorism.”
- Fighting Corruption in Africa: Do Existing Corruption-Control Levels Matter? (2012, unknown): “The dependent variable is the ‘control of corruption’ indicator; consistent with the corruption literature(Billger & Goel,2009; Okada & Samreth,2012; Asongu,2012).”
- Reinventing Foreign Aid for Inclusive and Sustainable Development: Kuznets, Piketty and the Great Policy Reversal (2016, unknown): “While foreign aid has been found to worsen inequality (Herzer & Nunnenkamp, 2012) and governance (Arvin et al., 2002; Arvin & Barillas, 2002; Asongu, 2012, 2013a; Asongu & Jellal, 2013), nations with the best governance standards do not necessarily display lower levels of inequality (Piketty, 2014).”
- Foreign aid and governance in Africa (2016, unknown): “The conclusion of Okada & Samreth (2012) that foreign aid decreases corruption in developing countries has been rejected by Asongu (2012a) in Africa.”
- Knowledge Economy Gaps, Policy Syndromes, and Catch-Up Strategies: Fresh South Korean Lessons to Africa (2015, unknown): “4 To put our point into perspective, consistent with Asongu (2014a) the estimated lagged value of a standard dynamic GMM approach is a from which 1 is subtracted to obtain β (β= a-1).”