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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.
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.
This paper analyzes the impact of COVID-19 on two types of poultry production systems, broilers and layers, in Myanmar using five waves of telephone surveys from June to August 2020. The surveys were implemented with 269 poultry farms previously surveyed in 2019. The slow supply response of layer farms to increased egg demand after the initial COVID-19 shocks has resulted in higher egg prices for consumers. This, in turn, has affected nutritional intake, making it more difficult for Myanmar to achieve the second Sustainable Development Goal of ending hunger and malnutrition by 2030. Within both broiler and layer production systems are found both integrated poultry and fish farms and pure poultry farms. For layer farms, integration of poultry production with fish has provided a buffer against risk; the bankruptcy rate among integrated layer-fish farms was much lower than among pure layer farms. However, such advantages of integration of poultry with fish production are not seen for broiler farms.
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.
This book presents a broad overview of the challenges posed by COVID-19 in India and its neighboring countries. It studies the differing responses to COVID-19 infections across South Asia, the variegated impact of the pandemic on its societies, communities and economies, and emerging challenges which require an interdisciplinary understanding and analysis. With a range of case studies from India, Bangladesh, Myanmar, Pakistan, Nepal, Bhutan, and Sri Lanka, this book, Analyses the socio-economic impact of the pandemic, including the structural challenges faced by farmers in the agricultural production and migrant workers in the informal sectors; Examines the shifting trends in migration and displacement during the pandemic; Explores the precarity faced by LGBTQ+, transgender, Dalit, tribal, senior citizens, and other marginalized communities during the pandemic; Discusses the gendered impact of the pandemic on women and girls, combining with multiple and intersecting inequalities like race, ethnicity, socio-economic status, age, geographical location, and sexual orientation; Sheds light on the position of health infrastructure and healthcare services across different countries, and the transitions experienced in their education sectors as well, in response to COVID-19. A holistic read on the pandemic, this book will be of interest to scholars and researchers of sociology, medical anthropology, sociology of health, pandemic and health studies, political studies, social anthropology, public policy, and South Asian studies.
Myanmar experienced four distinct COVID shocks to its economy over 2020 to early 2022 as well as a military takeover in February 2021 that created severe political, civil and economic turmoil. COVID and the coup d’état reversed a decade of growth and poverty reduction, but the full extent of the crisis on household poverty has remained uncertain because of the challenges of conducting large-scale in-person welfare surveys during the pandemic and recent political instability. Here we combine ex ante simulation models with diverse phone survey evidence from mid-2020 to early 2022 to estimate the poverty impacts of these shocks and some of the mechanisms behind them. Both simulations and surveys are consistent in painting a grim picture of rising poverty, capital-depleting coping mechanisms, and the complete collapse of government-provided social protection.
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.
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.