Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach


Book Description

The measures taken by the Government of Myanmar to contain the transmission of COVID-19 are a necessary and appropriate response. In-depth analysis of measures of this magnitude on firms, households, government, and the economy as a whole is key to the design of policy interventions that can mitigate the economic losses and support a sustained and robust recovery. The economic losses to Myanmar’s economy in 2020 due to the COVID-19 pandemic will be huge – a drop in production on the order of between 6.4 and 9.0 trillion Kyat – and likely will push the economy into a recession or lead to stagnant growth, at best, for the year. Although lockdown policies provide exemptions for most agricultural activities, linkages to other sectors indirectly affect the agri-food sector significantly. The agricultural sector is expected to contract by between 1.1 and 2.4 percent in 2020, and recovery will be slow. Closure of factories will have a large negative economic impact due to the strong linkage effects between manufacturing and upstream primary agriculture and downstream marketing services. Reopening the manufacturing sector is crucial for economic recovery in Myanmar.










Assessing the impacts of COVID-19 on household incomes and poverty in Myanmar: A microsimulation approach


Book Description

With policy measures imposed by governments around the world to contain and prevent the spread of COVID 19, global and domestic economic activities and trade flows have been interrupted. The unexpected shocks of COVID 19 negatively affect not only Myanmar’s economy, but also the livelihoods of Myanmar households. This Working Paper assesses such impacts at the household level using a microsimulation model based on the Myanmar Poverty and Living Conditions Survey (MPLCS) conducted in 2015.




Impacts of COVID-19 on Myanmar’s agri-food system: Evidence base and policy implications


Book Description

Between April and October 2020, the International Food Policy Research Institute (IFPRI) and Michigan State University (MSU), with support from the United States Agency of International Development (USAID) and the Livelihoods and Food Security Fund (LIFT), have undertaken analyses of secondary data combined with regular telephone surveys of actors at all stages of Myanmar’s agri-food system in order to better understand the impacts of COVID-19 on the system. These analyses show that the volume of agribusiness has slowed considerably in Myanmar since COVID-19 restrictions were put in place. There is lower demand from farmers for agricultural inputs and mechanization services and lower volumes of produce traded, especially exports to neighboring countries whose borders are closed. All actors in the agri-food system are facing liquidity constraints and experiencing increased difficulties in both borrowing and recovering loans.




Social Accounting Matrices and Multiplier Analysis


Book Description

This training guide introduces development practitioners, policy analysts, and students to social accounting matrices (SAMs) and their use in policy analysis. There are already a number of books that explain the System of National Accounts and SAM multipliers-some of these are recommended at the end of this training guide. However, most books tend to be quite technical and move quickly from an introduction to more complex applications. By contrast, this guidebook uses a series of hands-on exercises to gradually introduce SAMs and multiplier analysis. It therefore complements more theoretical SAM and multiplier literature and provides a first step for development practitioners and students wishing to understand the strengths and limitations of these economic tools. It is also useful for policy analysts and researchers embarking on more complex SAM-based methodologies. One such methodology is computable general equilibrium (CGE) modeling, for which IFPRI has also developed a series of introductory exercises and a standard modeling framework.To download the exercises, go to www.ifpri.org/publication/social-accounting-matrices-and-multiplier-analysis




Poverty, food insecurity, and social protection during COVID-19 in Myanmar: Combined evidence from a household telephone survey and micro-simulations


Book Description

This study assesses the welfare impacts of COVID-19 on households in Myanmar by combining recent high-frequency telephone survey evidence for two specific rural and urban geographies with national-level survey-based simulations designed to assess ex-ante impacts on poverty with differing amounts of targeted cash transfers. The first source of evidence – the COVID-19 Rural and Urban Food Security Survey (C19- RUFSS) – consists of four rounds of monthly data collected from a sample of over 2,000 households, all with young children or pregnant mothers, divided evenly between urban and peri-urban Yangon and the rural Dry Zone. This survey sheds light on household incomes prior to COVID-19 (January 2020), incomes and food security status soon after the first COVID-19 wave (June 2020), the gradual economic recovery thereafter (July and August 2020), and the start of the second COVID-19 wave in September and October 2020. This survey gives timely and high-quality evidence on the recent welfare impacts of COVID-19 for two important geographies and for households that are nutritionally highly vulnerable to shocks due to the presence of very young children or pregnant mothers. However, the relatively narrow geographic and demographic focus of this telephone survey and the need for forecasting the poverty impacts of COVID-19 into 2021 prompt us to explore simulationbased evidence derived by applying parameter shocks to household models developed from nationally representative household survey data collected prior to COVID-19, the 2015 Myanmar Poverty and Living Conditions Survey (MPLCS). By realistically simulating the kinds of disruptions imposed on Myanmar’s economy by both international forces, e.g., lower agricultural exports and workers’ remittances, and domestic COVID-19 prevention measures. e.g., stay-at-home orders and temporary business closures, we not only can predict the impacts of COVID-19 on household poverty at the rural, urban, and national levels, but also can assess the further benefits to household welfare of social protection in the form of monthly household cash transfers of different magnitudes. Combined, these two sources of evidence yield insights on both the on-the-ground impacts of COVID-19 in recent months and the potential poverty reduction impacts of social protection measures in the coming year. We conclude the study with a discussion of the policy implications of these findings.




Community perceptions of the social and economic impacts of COVID-19 in Myanmar: Insights from a National COVID-19 Community Survey (NCCS) - June and July 2020


Book Description

Myanmar has been fortunate in thus far having one of the lowest caseloads of COVID-19 per population globally, with under 400 confirmed cases as of early August. However, as a developing economy still beset by high rates of poverty and vulnerability, Myanmar is highly susceptible to the economic and social disruptions stemming from COVID-19. These disruptions began with the closure of the Chinese border and the cessation of agricultural exports in late January, followed in February and March by further disruptions to trade, tourism, manufacturing, and remittances. However, an economic simulation analysis by Diao et al. (2020) suggests that the most severe economic impacts of COVID-19 stemmed from the temporary lockdown policies imposed in late March, which – though necessary to prevent the further spread of the virus – led to significant disruptions throughout the economy, including the agri-food sector and the rural economy. Phone survey evidence on agricultural and industrial value chains demonstrates that economic disruptions related to COVID-19 are pervasive and significant (Fang et al, 2020; Goeb, Boughton, and Maredia 2020; Goeb et al. 2020, Takeshima, Win, and Masias 2020a, 2020b). In aggregate, economic simulations predict a modest contraction in Myanmar’s gross domestic product in 2020 (compared to rapid growth forecasted in the absence of COVID-19), but a more significant reduction in household incomes at around 12 percent on average.




Assessing the Impact on Household Incomes and Poverty of Declines in Remittances Due to COVID-19


Book Description

Remittances are an important income source for the poor in Myanmar, particularly for low-income rural households. This policy note focuses on the likely impact on household income and poverty in Myanmar of declines in international and domestic remittances caused by the COVID-19 pandemic. We used a microsimulation model to do so.




Monitoring the impacts of COVID-19 in Myanmar: Food vendors - June and July 2020 survey round


Book Description

It is feared that the COVID-19 pandemic will lead to widespread increases in global poverty and food insecurity and that these negative impacts will concentrate on the most vulnerable segments of the population (Swinnen and McDermott 2020). Although Myanmar, with one of the lowest COVID-19 infection rates in the world, has been spared the worst direct impacts of the disease, its economy remains highly vulnerable to the economic fallout of the contagion. A major contributor to increased food insecurity in Myanmar is the reduction of income among vulnerable populations (Diao et al. 2020), partly due to significant declines in remittances in the country (Diao and Wang 2020). In addition, disruptions to food marketing systems and changes in farm and consumer prices could also turn out to be major drivers of food insecurity. Changes in food markets – including supply of commodities and transport - and food and agricultural prices are an obvious concern to policy makers, given the importance of agricultural prices for the income of farmers and food prices for the purchasing power of consumers.