Research in Brief 153

Growing interest in building digital public infrastructure stems from the belief that robust digital identification systems (DIS) can drive significant development gains. Foundational DIS provide unique identifiers to manage identity data across public and private transactions (World Bank 2024). They enable governments to integrate data, facilitating improvements in taxation, public financial management, and social protection. In low-income countries (LICs) DIS can enhance taxpayer registration by linking individuals to verified IDs, reducing errors and reliance on self-reporting (Santoro, Prichard and Mascagni 2024). This is particularly relevant in Africa, where curbing informality and achieving ambitious registration targets is a priority. DIS can identify informal operators, streamline registration, and improve taxpayer experience by reducing compliance costs and increasing transparency. Better data quality from DIS also helps monitoring and enforcement, ensuring compliance and enabling data-driven governance. As this study shows, while ID data can help tax administration to register taxpayers and raise more revenue, to fully unlock the potential from ID systems more effort is needed to target enforcement, improve services, and integrate systems.

Summary of ICTD African Tax Administration Paper 39.

Authors

Fabrizio Santoro

Fabrizio is a Research Fellow at the Institute of Development Studies, and the Research Lead for the second component of the ICTD's DIGITAX Research Programme. His main research interests relate to governance, public finance, and taxation, with a strong focus on impact evaluation methodologies and statistical analysis. He holds a PhD in Economics from the University of Sussex.

Celeste Scarpini

Celeste Scarpini is a Research Officer at the ICTD, and a PhD student at the Department of Economics, University of Sussex. Her main research interests relate to tax administration in sub-Saharan Africa, from technology adoption to data management and revenue collection strategies.

Stephen Okiya

Stephen Okiya supports the activities of Component 2 of the DIGITAX Research Programme. In particular, he is working on a project that explores the correlation between registration channels and tax compliance outcomes in Uganda and Ghana. He has more than a decade of experience having supported research activities at the World Bank, various UN entities (UNICEF, UNDP, WHO, UNODC), Busara Centre for Behavioral Economics and Innovations for Poverty Action, among others. He applies economic theory, statistical and econometric tools to real-life scenarios to answer various research questions. He has experience with using both survey and administrative data to extract valuable insights that help inform policy interventions. Stephen holds an undergraduate degree in Statistics, a master's in Economics and is currently pursuing a PhD in Economics.
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