The efforts of 5 African nations to protect their poorest during COVID-19

The number of people living in poverty around the world is estimated to have increased by half a billion people due to the COVID-19 crisis. The African continent has suffered at least US$100 billion in economic costs in 2020, measured by the reduction in trade revenues and financial flows due to the pandemic.

Many studies have been undertaken to evaluate the effects of the pandemic in Africa. But there’s little evidence of what difference tax-and-benefit systems made to poverty before or during the crisis. Two areas of government policy form the tax and benefit system. First, governments support people through various social benefits such as cash transfers. At the same time they tax households.

Our new study closes the gap in assessing the impact of COVID-19.

We estimated the impact of the crisis on earnings and showed how earnings losses, together with tax-benefit policies, affected households’ disposable income, and thereby poverty and inequality in each country.

We also looked at the effect of measures taken by governments in response to the crisis, such as emergency income support and tax waivers. The impact of pausing existing social protection schemes as a consequence of lockdowns and social distancing policies also came into our analysis.

Our assessment covered five sub-Saharan African countries: Ghana, Mozambique, Tanzania, Uganda, and Zambia.

Our findings suggest that existing tax-and-benefit systems had a negligible effect in cushioning against income losses in 2020. But these varied. In Mozambique, policies did protect poor households from large income losses. But they only marginally cushioned the population-wide rise in poverty and inequality using the internationally comparable absolute poverty line of US $1.9 per day.

On the other hand, the case of Ghana illustrates how lockdown measures can hurt the delivery of ongoing social protection measures. The country’s pause of the large national school feeding program dwarfed the positive impact of other policy measures.

The systems largely failed on two fronts. They didn’t automatically pay (more) social benefits to households that saw large income shocks. And they didn’t reduce tax payments levied on those households that saw a more limited income shock.

Developed countries have what are so-called “automatic stabilisers”. These are operated through large scale unemployment insurance systems and social benefit systems tied to income levels. As people’s incomes fall or go to zero during economic crises these systems automatically trigger a benefit payment thus mitigating more or less immediately a substantial portion of the income loss suffered by households.

In the African countries the analysed automatic stabilisers operated mainly through marginally reduced tax and social insurance contributions. This provided relief only for a limited number of households because it affected higher-income households working in the formal sector. They paid less taxes and social insurance contributions due to reduced earnings.

In the models that we built we separated out the direct effects of the pandemic from the effects of new policies and the general tax-and-benefit system. But we qualified the direct effects of the pandemic (including lockdown measures but also other factors) by looking at changes in economic activity across industries.

The five countries make for an interesting comparison.

They all have a large informal sector and low social protection coverage. They also registered the first cases of COVID-19 around March 2020. But, the intensity and effects of lockdown measures they used varied considerably, as did the effects of trade shocks, investment changes and consumer behaviour.

One contribution of our study is to assess how these “direct” effects on the economy, taken together, varied across countries.

The countries also differ in the scope and nature of tax-benefit measures taken in response to the crisis. The discretionary actions adopted in 2020 and their impacts varied substantially across the five countries.

Our study was constrained by the lack of detailed data on households. This included information on how employment and earnings changed during the crisis. The crisis also disrupted standard data collection activities. For example, full-scale household surveys covering the time of the pandemic have not yet been collected for most countries. And the few that have been collected are just becoming available.

Our research addresses this challenge by estimating how economic activity in different sectors developed in 2020 compared to pre-pandemic trends, and translating these shocks to household-level incomes.

We found that agriculture, one of the most important sectors in all countries analysed, did not experience a reduction in 2020 compared to its historical trend. Service sectors were hit hard in each of the five countries.

To check the robustness of our approach, we used individual-level data World Bank’s phone surveys in Uganda. This is one of the few countries where more detailed data is available to compare against.

Another major challenge we encountered was the lack of organised official sources of detailed information about the discretionary policies implemented in response to the crisis.

Our findings show that governments in sub-Saharan Africa, in particular, face a daunting challenge in protecting the livelihoods of their citizens from a protracted crisis.

They face similar challenges regarding future shocks given the limited scale and coverage of existing tax and social protection policies.

To properly understand and manage the effects of COVID-19 and of future crises, improved data collection practices and capacities should be a priority for African governments.

But for now, with the worsening COVID-19 crisis in 2021, slow vaccination campaigns, and generally low levels of social protection, the introduction of additional benefits in 2021 will be fundamental to protecting poor households in sub-Saharan Africa.

In the long run, supporting the growth of the formal sector will be essential to increasing tax revenues to better protect society’s most vulnerable. It will also help to harness the potential of tax-benefit systems to stabilise household incomes, and ultimately improve governments’ ability to respond to future crises.