Fighting Corruption in Africa: Do Existing Corruption-Control Levels Matter?

By Simplice A. Asongu. 2012

158 citations recorded by the source corpus.

Subfields: Demography, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a30f7a99539692d514aa35e831ebab7398a5f98e

How researchers see this paper

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

In Demography

1. R. Akamavi
2. Agyenim Boateng
3. Vanessa S. Tchamyou
4. Simplice A. Asongu

In Information Systems

1. Simplice A. Asongu
2. Vanessa S. Tchamyou
3. R. Akamavi
4. Agyenim Boateng
5. Jacinta C. Nwachukwu
6. Nicholas M. Odhiambo
7. J. Nnanna
8. P. Acha-Anyi

In Sociology and Political Science

1. Vanessa S. Tchamyou
2. R. Akamavi
3. Agyenim Boateng
4. Simplice A. Asongu
5. Jacinta C. Nwachukwu

Citations in the corpus

• Inequality, finance and renewable energy consumption in Sub-Saharan Africa (2021, unknown): “As documented by Asongu and Acha-Anyi (2017), “other financial institutions” represent institutions that are, for the most part, registered but not licensed as financial institutions by the central bank and the government, namely: (i) microfinance”
• Financial development dynamic thresholds of financial globalization: Evidence from Africa (2012, methodology): “Okada & Samreth (2012, p. 242) have used several specifications, Asongu (2013a) has used five, Billger, & Goel, (2009, p. 302) have used three while Asongu (2013b) has used two. depth benefits of financial globalization are not necessarily contingent on domestic financial depth attaining a certain…”
• Foreign aid and governance in Africa (2016, unknown): “Whereas the motivations of her work have inspired a recent strand of the literature (Banuri, 2013; Marglin, 2013; Wamboye et al., 2013; Asongu, 2012a, 2013a; Asongu & Jellal, 2013; Ghosh, 2013; Krause, 2013; Asongu, 2014a; Titumir & Kamal, 2013; Monni & Spaventa, 2013), there has also been a lot of…”
• Information Asymmetry and Market Power in the African Banking Industry (2017, methodology): “…exclusively at the conditional mean of the outcome variable is addressed with Quantile Regressions (QR) which enables the study to assess the nexuses throughout the conditional distributions of market power (see Keonker & Hallock, 2001; Billger & Goel, 2009; Okada & Samreth, 2012; Asongu, 2013).”