Economic Impacts Of Covid 19 Pandemic In Ethiopia A Review Of Phone Survey Evidence

As in most low and middle-income countries, the paucity of timely economic data in Ethiopia makes it difficult to understand the economic impacts of the COVID-19 pandemic. To mitigate this, several organizations have launched phone surveys to gather more information about the crisis. This research report reviews the available phone survey evidence as of mid-August 2020 and identifies knowledge gaps. First, the available evidence suggest that the pandemic has not led to unusually large increases in food prices. However, a case study in the vegetable sector suggests that price dynamics are highly context and crop specific, calling for more comprehensive price monitoring to identify food value chains and areas where food price increases may have been unusually rapid. Second, employment losses have concentrated on informal sector workers while redundancies in the formal sector have been less significant. Third, there is considerable uncertainty about the income, poverty, and food security implications of this crisis. While most households report income losses, the qualitative and subjective nature of these questions meanthat the magnitudes of these losses are unknown. In Addis Ababa, less subjective food security measures indicate only small negative changes in household food and nutrition security. Finally, due to limited access to mobile phones in rural areas, we have imperfect and incomplete information on how this crisis is affecting rural households.

In this paper, we analyze the economic impacts of response measures adopted in Ethiopia to curtail the spread of the COVID-19 pandemic. We carry out simulations using an economywide multiplier model based on a 2017 Social Accounting Matrix (SAM) for the country that properly depicts interactions between economic agents. The pandemic’s impact on the global economy combined with disruptions it causes in Ethiopia represents a large, unprecedented shock to the country’s economy. In such situations, a SAM-based multiplier model provides an ideal tool for measuring the short-term direct and indirect impacts of a shock on an economic system since there is limited room for proper adjustment of economic decisions. We model the seven-week partial lockdown policy implemented in Ethiopia from mid-March to early May 2020. We also consider two possible economic recovery scenarios that may emerge as the COVID-19 control policies are relaxed during the latter part of 2020 in order to generate insights on the potential continuing impact of the virus at the end of 2020. Although the country took early swift measures, our assessment of the partial lockdown measures suggests that they were not as strict as those observed in other Africa countries. Accordingly, our estimates of the economic costs of COVID-19 on Ethiopia are significantly lower than those reported for other countries on the continent. We estimate that during the lockdown period Ethiopia’s GDP suffered a 14 percent loss (43.5 billion Birr or 1.9 billion USD) compared to a no-COVID case over the same period. Nearly two-thirds of the losses were in the services sector. Although no direct restrictions were imposed on the agriculture sector, which serves as the primary means of livelihood for most Ethiopians, the sector faced a 4.7 percent loss in output due to its linkages with the rest of the economy. Poor export performance due to a slowdown in global trade and restrictions on the transport sector also partly explain the decline in agricultural output. The broader agri-food system also was affected considerably because of its linkages with the rest of the economy. In terms of the welfare of Ethiopians, we estimate that the economic impacts during the lockdown caused 10.1 million additional people to fall below the poverty line. These findings have implications for better understanding the direct and indirect impacts of COVID-19 and for policy design during the recovery period to return Ethiopia’s economy to a normal growth trajectory and to protect the livelihoods of the most vulnerable in the process.

The COVID-19 pandemic is expected to considerably affect the Ethiopian economy directly and indirectly due to global shocks and to the different restrictive preventative measures the country is taking. We analyze these economic effects using multisector economywide income multiplier models built on the two latest Social Accounting Matrices (SAMs) developed for Ethiopia. Three external sector channels are the focus of the analysis: commodity exports, strategic imports, and remittances. Results indicate that in the absence of any policy responses, the Ethiopian economy is expected to experience a loss of approximately 4.3 to 5.5 percent of its annual GDP due to exports, strategic imports, and remittances that are one-third lower relative to the no-COVID situation over a period of six-months. This translates into estimated reductions in labor income of between 4.2 and 5.2 percent. The SAM multiplier model estimates also imply that these negative shocks lead to household income losses that amount to between 3.9 and 6.4 percent. In particular, the urban poor will be the most affected as they lose real incomes in the range of 6.6 to 8.5 percent. These income losses are estimated to result in a 3.5 percentage point rise in the national poverty headcount.

We assess the impact of Ethiopia’s flagship social protection program, the Productive Safety Net Program (PSNP) on the adverse impacts of the COVID-19 pandemic on food and nutrition security of households, mothers, and children. We use both pre-pandemic in-person household survey data and a post-pandemic phone survey. Two thirds of our respondents reported that their incomes had fallen after the pandemic began and almost half reported that their ability to satisfy their food needs had worsened. Employing a household fixed effects difference-in-difference approach, we find that the household food insecurity increased by 11.7 percentage points and the size of the food gap by 0.47 months in the aftermath of the onset of the pandemic. Participation in the PSNP offsets virtually all of this adverse change; the likelihood of becoming food insecure increased by only 2.4 percentage points for PSNP households and the duration of the food gap increased by only 0.13 months. The protective role of PSNP is greater for poorer households and those living in remote areas. Results are robust to definitions of PSNP participation, different estimators and how we account for the non-randomness of mobile phone ownership. PSNP households were less likely to reduce expenditures on health and education by 7.7 percentage points and were less likely to reduce expenditures on agricultural inputs by 13 percentage points. By contrast, mothers’ and children’s diets changed little, despite some changes in the composition of diets with consumption of animal source foods declining significantly.

We combine in-person survey data collected in February 2018 with phone survey data collected in June and September 2021 to study how dairy value chains in Ethiopia have coped with the COVID-19 pandemic. Focusing on the major dairy value chain connecting farmers in North and West Shewa as well as peri-urban and urban producers in and around Addis Ababa to consumers in Addis Ababa, we applied a cascading survey approach in which we collected data at all levels of the value chain: dairy farmers, rural wholesalers, and urban retailers.

We combine in-person survey data collected in February 2020 (i.e., just before the pandemic was declared) with phone survey data collected in March 2021 (i.e., one year into the pandemic) and August 2021 (i.e., approximately 18 months into the pandemic) to study how vegetable value chains in Ethiopia have coped with the COVID-19 pandemic. Focusing on the major vegetable value chain connecting farmers in East Shewa zone to consumers in Addis Ababa, we applied a cascading survey approach in which we collected data at all levels of the value chain: vegetable farmers, urban wholesalers, and retailers.

Ensuring privacy of respondents in phone surveys is especially challenging compared to face-to-face interviews. While the use of phone surveys has become more common in development research, there is little information on how the conduct of phone surveys affects responses. Using phone survey data from India and Nepal, we test the impact of speakerphone use on bias in responses by women and men. We find that 65% of women respondents in India, and 61% of women and 59% of men respondents in Nepal had their phone on speaker during the survey. Speakerphone use is lower when women are matched with the same enumerators in the second round. Speaker use was associated with lower reported agency by women over their own income and the income of their spouse, while it is opposite for men. Our findings have important implication for the collection, design, and analysis of phone survey data.

This paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to quantify the overall and differential impacts of COVID-19 on household food security, labor market participation and local food prices in Nigeria. We exploit spatial variation in exposure to COVID-19 related infections and lockdown measures along with temporal differences in our outcomes of interest using a difference-in-difference approach. We find that those households exposed to higher COVID-19 cases or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that COVID-19 significantly reduces labor market participation and increases food prices. We find that impacts differ by economic activities and households. For instance, lockdown measures increased households' experience of food insecurity by 12 percentage points and reduced the probability of participation in non-farm business activities by 13 percentage points. These lockdown measures have smaller impacts on wage-related activities and farming activities. In terms of food security, households relying on non-farm businesses, poorer households, those with school-aged children, and those living in remote and conflicted-affected zones have experienced relatively larger deteriorations in food insecurity. These findings can help inform immediate and medium-term policy responses, including social protection policies aiming at ameliorating the impacts of the pandemic, as well as guide targeting strategies of governments and international donor agencies by identifying the most impacted sub-populations.