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This paper has been written for the 2020 ECAMA Lakeshore Conference. It extends and updates the initial results of modeling undertaken by IFPRI to assess the short-run impacts of COVID-19 control measures on the Malawian economy. We also consider the short-run effects of external shocks associated with disruptions in trade and tourism, investment, and remittance flows on the Malawian economy, as well as two medium- erm paths assuming either faster or slower recovery during the remainder of 2020 and 2021. Using a SAM multiplier model, we estimate GDP declines by around 16.5 percent during April/May 2020 due to social distancing measures. This leads to around 1.6 million people, mainly in rural areas, temporarily falling into poverty, although urban households suffer the largest income losses.
This Report describes the initial results of modeling undertaken by IFPRI to assess the short-run impacts of the COVID-19 control measures on the Malawian economy. We also consider the short-run effects of external shocks associated with disruptions in trade, investment, and remittance flows on the Malawian economy, as well as two medium-term paths assuming either faster or slower recovery during the remainder of 2020. This analysis has been undertaken in order to inform the policy response to the COVID-19 pandemic in Malawi and represents a first pass attempt to measure the short-term economic impacts of COVID-19 on the Malawian economic. It should be noted that, unlike NPC (2020) our estimates of the economic impact of the COVID-19 on the Malawian economy do not extend beyond 2020 and do not try to set a value on loss of life or life-years. They do, however, allow for detailed breakdown of the direct and indirect impacts of COVID-19 on different sectors and sub-sectors of the Malawian economy.
This study analyses the short-term distributional effects of COVID-19 on household incomes in Malawi. Growth is expected to fall due to the pandemic. The Malawi annual gross domestic product growth rate for 2020 has been revised downwards from 5.5% to 1.9%. According to the government of Malawi, unemployment in Malawi is expected to increase in 2020 compared to 2019 as companies begin to lay-off employees due to both demand and supply shocks. Our study investigates the impact of changes in employment due to the COVID-19 crisis on inequality and poverty using the recently developed tax-benefit microsimulation model for Malawi, MAMOD. In assessing the impact of the job losses, three employment shock scenarios are considered. Our study leverages on the novel High Frequency Phone Survey for COVID-19 that was implemented from June 2020 and the recently released Integrated Household Survey which was collected just before the COVID-19 crisis. We find that the poverty measured by headcount and poverty gap increases because of the COVID-19 outbreak. The pandemic has also worsened inequality as the Gini Coefficient rose. We further find that the corrective measures implemented the Emergency Cash Transfer, were able to subdue the impact of the crisis especially at the bottom of the income distribution.
Malawi reported its first case of COVID-19 in April and declared a national emergency. Schools, bars and restaurants were closed, international flights suspended, and the economy faced considerable disruptions: quarterly growth projections from July were cut by more than 60% (Saldarriaga Noel et al. 2020). While still concerning, compared to other countries and other parts of the world, the spread of this disease in Malawi has been relatively modest with 5,951 confirmed cases and 184 COVID-19 linked deaths as of November 8, 2020. After accelerating rates of infection in June and July, the rates have decreased over the last two months.1 In response, there has been a partial return to normalcy, marked by easing COVID-19 restrictions and the reopening of schools at the beginning of September, even while the future trajectory of the disease remains unknown.
This project note discusses findings from a panel phone survey in Malawi in which respondents were asked about their perceptions of the risks and impacts of COVID-19. Previous findings from the first and second rounds of the survey were discussed in two previous project notes. This note focuses on changes in indicators across rounds, using only panel households. The panel comprises households in eight rural districts in Malawi who were interviewed four times between July 2020 and July 2021. This study builds on a survey originally designed to measure seasonal changes in labor activities. However, as the pandemic spread, the survey was modified to include questions about COVID-19’s risks and impacts on their lives.
This report provides a farm-level analysis of the effects of the COVID-19 crisis, 12–15 months in, using a nationally representative rural household survey conducted in June–July 2021. We draw three major observations from the survey. First, farming activities, access to inputs and extension services, production, and sales were largely unaffected by the crisis. There were temporary challenges in accessing inputs during lockdown and mobility restrictions, and input prices and transportation costs increased; however, production and sales volume and value were largely unaffected. Second, although farming was not affected, other nonfarm livelihoods of a large proportion of farmers were negatively affected because of lower demand and fewer buyers. Eighty-two percent of rural households were engaged in various nonfarm livelihoods, and 32 percent reported negative impacts of the crisis on their nonfarm incomes. Third, direct responses from sample households indicate no negative impacts of the crisis on food access and food consumption by most rural households. Comparisons between 2018 and 2021 of various food security indicators show improvements in food access and dietary diversity. Improvements are likely attributable to better harvests overall and greater awareness of the need to eat healthy and nutritious foods to combat COVID-19 and other diseases. Results show overall resilience of rural households and the agriculture sector amid the COVID-19 crisis. Nonetheless, the survey was conducted right after harvest, and the situation needs to be monitored during the lean season.
In May 2020, the national statistical office (NSO), with support from the World Bank, has launched the high-frequency phone survey on Coronavirus 2019 (COVID-19), which tracks the socio-economic impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the integrated household panel survey (IHPS) 2019 round and that had a phone number for at least one household member or a reference individual. This report presents the findings from the third round of the survey that was conducted during the period of August 2 to 16, 2020.
Two years in, the long-term health and economic effects of the COVID-19 pandemic continue to influence poverty, food systems, and food security. Drawing on CGIAR research on the COVID-19 pandemic thus far, this brief presents key lessons learned and policy recommendations to inform decision-making processes around managing risks, addressing structural vulnerabilities, and building resilient and sustainable food systems.
The Oxford Handbook of the Malawi Economy is an essential reference material with new research contributions and insights across the different areas of economic development to shape the country's future growth and development trajectory. The volume is the first publication that tries to assess the performance of the Malawi economy since independence, by examining how the underpinning political and economic history, and the associated policies and strategies have affected the country's long-term socio-economic development. It captures a broad range of opinions, approaches, and conclusions, which serve to underline both the complexity of the issues and challenges facing Malawi, and the immense difficulties in tackling them. Common themes emerge as many authors agree that the country needs to learn from its past experiences in terms of policy design and implementation, and the need to implement dynamic policies that could spur productive and sustained growth and development by tackling challenges associated with the continuously evolving global economic environment.