Search

This study investigates the role of information and communication technology (ICT) on income inequality through financial development dynamics of depth (money supply and liquid liabilities), efficiency (at banking and financial system levels), activity (from banking and financial system perspectives) and size, in 48 African countries for the period 1996 to 2014. The empirical evidence is based on Generalised Method of Moments. While both financial depth and size are established to reduce inequality contingent on ICT, only the effect of financial depth in reducing inequality is robust to the inclusion of time invariant variables to the set of strictly exogenous variables. We extend the analysis by decomposing financial depth into its components, namely : formal, informal, semi-formal and non-formal financial sectors. The findings based on this extension show that ICT reduces income inequality through formal financial sector development and financial sector formalization as opposed to informal financial sector development and financial sector informalization. The study contributes at the same time to the macroeconomic literature on measuring financial development and responds to the growing field of addressing post-2015 Sustainable Development Goals (SDGs) inequality challenges by means of ICT and financial access.

This study investigates the role of financial access in modulating the effect of education and lifelong learning on inequality in 48 African countries for the period 1996 to 2014. Lifelong learning is conceived and measured as the combined knowledge gained from primary through tertiary education while the three educational indicators are: primary school enrolment; secondary school enrolment and tertiary school enrolment. Financial development dynamics are measured with financial system deposits (liquid liabilities), financial system activity (credit) and financial system efficiency (deposits/credit). Three measures of inequality are employed notably: the Gini coefficient; the Atkinson index and the Palma ratio. The estimation strategy is based on Generalised Method of Moments. The following findings are established. First, primary school enrolment interacts with all financial channels to exert negative effects on the Gini index. Second, lifelong learning has negative net effects on the Gini index through financial deposit and efficiency channels. Third, for the most part, the other educational levels do not significantly influence inequality through financial access channels. Policy implications are discussed.

Using cross-country differences in the degree of isolation before the advent of technologies in sea and air transportation, we assess the relationship between geographic isolation and financial development across the globe. We find that pre-historic geographical isolation has been beneficial to development because it has contributed to contemporary cross-country differences in financial intermediary development. The relationship is robust to alternative samples, different estimation techniques, outliers and varying conditioning information sets. The established positive relationship between geographic isolation and financial intermediary development does not significantly extend to stock market development.

Information technology is increasingly facilitating mechanisms by which information asymmetry between lenders and borrowers in the financial sector can be reduced in order to enhance financial access for human and economic development in developing countries. We examine conditional financial development from ICT-driven information sharing in 53 African countries for the period 2004-2011, using contemporary and non-contemporary quantile regressions. ICT is measured with mobile phone penetration and internet penetration whereas information sharing offices are public credit registries and private credit bureaus. The following findings are established. First, there are positive effects with positive thresholds from ICT-driven information sharing on financial depth (money supply and liquid liabilities) and financial activity (at banking and financial system levels). Second, for financial intermediation efficiency, the positive effects from mobile-driven information sharing are apparent exclusively in certain levels of financial efficiency. Third, with regard to financial size, mobile-driven information sharing is positive with a negative threshold, whereas, internet-driven information sharing is positive exclusively among countries in the bottom half of financial size. Positive thresholds are defined as decreasing negative or increasing positive estimated effects from information sharing offices and vice-versa for negative thresholds. Policy implications are discussed.

We examine policy thresholds of information sharing for financial development in 53 African countries for the period 2004-2011. Public credit registries (PCR) and private credit bureaus (PCB) are used as proxies for reducing information asymmetry whereas financial development includes all financial dimensions identified by the Financial Development and Structure Database (FDSD) of the World Bank, namely: depth, efficiency, activity and size. The empirical evidence is based on interactive Generalised Methods of Moments with forward orthogonal deviations. The following findings are established. First, PCR and PCB have negative effects on financial depth, with the magnitude of the former higher. Second, contrary to PCR which have insignificant effects, PCB has a negative impact on banking system efficiency. Third, PCR and PCB have negative impacts on financial activity, with the magnitude of the latter higher. Moreover, their marginal effects are negative. Fourth, PCR and PCB have positive effects on financial size, with the effect of the former higher. While marginal effects are positive, corresponding thresholds are not within range. Policy implications are discussed.

To the best our knowledge, in the first empirical macroeconomic examination of the nexus between financial intermediation and mobile phones, Asongu employs two conflicting financial system definitions in the assessment of how mobile phones have stimulated financial development in Africa. Within the framework of the dominant International Monetary Fund's International Financial Statistics (2008) definition, mobile phones are established to be negatively associated with financial intermediary dynamics of depth, activity and size. Conversely, when the previously neglected informal financial sector is integrated into the conception, definition and measurement of the financial system, mobile phones are positively (negatively) correlated with the informal (formal) financial intermediation sector. The empirical evidence is based on 52 African countries. Causality in the established linkages has been confirmed in subsequent studies by the same author. At least three policy implications derive from the findings. First, the role of informal financial intermediation is increasing to the detriment of formal financial mechanisms. Second, in order to capture the positive effect of mobile phones on finance, it is imperative to integrate the missing informal financial sector component into the IMF definition of the financial system. Third, it is a wake-up call for more scholarly research on: (i) macroeconomic financial development implications of mobile phone penetration and (ii) monetary policy instruments in the face of burgeoning 'mobile phone'-oriented financial intermediation.