<p>Identifying effective strategies to achieve poverty reduction goals remains a key concern for policymakers worldwide, particularly in this region. The emergence of mobile money in recent years has provided African countries with promising tools in the fight against poverty. Previous studies have examined the relationship between mobile money and poverty via microlevel analyses or household data. This paper takes a broader approach, using cross-country data to analyze the impact of mobile money on poverty. The study contributes to the literature by presenting the first cross-country panel analysis of the effect of mobile money use on poverty reduction in Sub-Saharan Africa between 2011 and 2021, covering 23 countries in the region. We use a new dataset that combines Global Development Indicators, Financial Development Indicators, and Global Governance Indicators. To address issues of endogeneity, heterogeneity, and potential bias from instrumental variables, we employ the linear dynamic panel data estimator with bias correction (BC-LDPD) and the bias-corrected least squares dummy variable (LSDVC) estimator. Our findings indicate that mobile money usage has a significant effect on poverty reduction in Sub-Saharan Africa. These results have important policy implications for enhancing financial inclusion through mobile money services. For example, governments can create favorable regulations and incentives for mobile money service providers, promote competition among mobile money companies by sanctioning abuses of dominant positions, and encourage competitive pricing compared with other payment methods.</p>

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Does mobile money reduce poverty in sub-Saharan Africa?

  • Karim Nabaloum

摘要

Identifying effective strategies to achieve poverty reduction goals remains a key concern for policymakers worldwide, particularly in this region. The emergence of mobile money in recent years has provided African countries with promising tools in the fight against poverty. Previous studies have examined the relationship between mobile money and poverty via microlevel analyses or household data. This paper takes a broader approach, using cross-country data to analyze the impact of mobile money on poverty. The study contributes to the literature by presenting the first cross-country panel analysis of the effect of mobile money use on poverty reduction in Sub-Saharan Africa between 2011 and 2021, covering 23 countries in the region. We use a new dataset that combines Global Development Indicators, Financial Development Indicators, and Global Governance Indicators. To address issues of endogeneity, heterogeneity, and potential bias from instrumental variables, we employ the linear dynamic panel data estimator with bias correction (BC-LDPD) and the bias-corrected least squares dummy variable (LSDVC) estimator. Our findings indicate that mobile money usage has a significant effect on poverty reduction in Sub-Saharan Africa. These results have important policy implications for enhancing financial inclusion through mobile money services. For example, governments can create favorable regulations and incentives for mobile money service providers, promote competition among mobile money companies by sanctioning abuses of dominant positions, and encourage competitive pricing compared with other payment methods.