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.
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Have donors changed their aid-allocation criteria over the past three decades toward greater selectivity, a frequently stated goal of the international development community? Using data on how 22 donors allocated their bilateral aid among 147 countries over 1970-2004, the article finds that after the fall of the Berlin wall in 1989 and especially in the late 1990s, bilateral aid responded more to poverty and the quality of the policy and institutional environment in the recipient countries. Furthermore, the sensitivity of aid allocation to the country's size and its debt burden has declined over time. These results are robust to different samples and model specifications, various econometric techniques, and alternative measures of institutional quality. While the specific factors causing these changes cannot be identified-these presumably include geopolitical and economic concerns and the many changes in the international aid architecture-donors still differ greatly in their selectivity. This suggests that further, multifaceted reforms are needed to ensure even greater selectivity of aid. JEL codes: O11, O16, O19This article explores how country characteristics affect the way aid is provided by donor countries and how this has varied over time. Data on bilateral aid flows are relatively easily available for long periods of time for a large number of donors and recipient countries, allowing a combination of longitudinal and
The present research extends Lashitew, van Tulder and Liasse (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the 'unique mobile subscription rate' variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed.
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