Author: Pradesha, Angga
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 11
Book Description
Sustained economic growth and a declining trend in poverty over the years in Indonesia potentially will come to a halt this year. This development cost comes as a result of the COVID-19 pandemic outbreak that recently hit the country. Like in many other countries, one of the largest costs of COVID-19 comes from the social distancing policy, which is a proven public health measure to reduce the spread of the virus by limiting people’s movements and interactions for a certain period of time. The government of Indonesia adopted this approach by gradually introducing in certain regions the Large-scale Social Restriction (PSBB) policy from early April 2020. PSBB restricts non-essential economic activities and people’s movement in order to contain the virus. IFPRI, the National Development Planning Agency of Indonesia (BAPPENAS), and IPB University used a SAM multiplier model to measure the economic impact of PSBB if restrictions were to be in place for four weeks and to explore potential recovery processes after the policy ends. Some of the key findings were: • National GDP is estimated to fall by 24 percent during the four-week PSBB period, • External sector shocks – reduced export demand, lower remittances, and lower foreign investments – contribute around one-third of total GDP losses; • The GDP of Indonesia’s agri-food system falls by 13 percent despite agriculture activities being excluded from restrictive measures; • National poverty is expected to jump by 13 percentage points – an additional 36 million people will fall into poverty during the four-week PSBB period; and • By the end of 2020, due to COVID-19 the annual GDP growth is expected to be between 5.3 and 7.3 percent lower than under a baseline scenario without COVID-19.
The cost of COVID-19 on the Indonesian economy: A Social Accounting Matrix (SAM) multiplier approach
Author: Pradesha, Angga
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 11
Book Description
Sustained economic growth and a declining trend in poverty over the years in Indonesia potentially will come to a halt this year. This development cost comes as a result of the COVID-19 pandemic outbreak that recently hit the country. Like in many other countries, one of the largest costs of COVID-19 comes from the social distancing policy, which is a proven public health measure to reduce the spread of the virus by limiting people’s movements and interactions for a certain period of time. The government of Indonesia adopted this approach by gradually introducing in certain regions the Large-scale Social Restriction (PSBB) policy from early April 2020. PSBB restricts non-essential economic activities and people’s movement in order to contain the virus. IFPRI, the National Development Planning Agency of Indonesia (BAPPENAS), and IPB University used a SAM multiplier model to measure the economic impact of PSBB if restrictions were to be in place for four weeks and to explore potential recovery processes after the policy ends. Some of the key findings were: • National GDP is estimated to fall by 24 percent during the four-week PSBB period, • External sector shocks – reduced export demand, lower remittances, and lower foreign investments – contribute around one-third of total GDP losses; • The GDP of Indonesia’s agri-food system falls by 13 percent despite agriculture activities being excluded from restrictive measures; • National poverty is expected to jump by 13 percentage points – an additional 36 million people will fall into poverty during the four-week PSBB period; and • By the end of 2020, due to COVID-19 the annual GDP growth is expected to be between 5.3 and 7.3 percent lower than under a baseline scenario without COVID-19.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 11
Book Description
Sustained economic growth and a declining trend in poverty over the years in Indonesia potentially will come to a halt this year. This development cost comes as a result of the COVID-19 pandemic outbreak that recently hit the country. Like in many other countries, one of the largest costs of COVID-19 comes from the social distancing policy, which is a proven public health measure to reduce the spread of the virus by limiting people’s movements and interactions for a certain period of time. The government of Indonesia adopted this approach by gradually introducing in certain regions the Large-scale Social Restriction (PSBB) policy from early April 2020. PSBB restricts non-essential economic activities and people’s movement in order to contain the virus. IFPRI, the National Development Planning Agency of Indonesia (BAPPENAS), and IPB University used a SAM multiplier model to measure the economic impact of PSBB if restrictions were to be in place for four weeks and to explore potential recovery processes after the policy ends. Some of the key findings were: • National GDP is estimated to fall by 24 percent during the four-week PSBB period, • External sector shocks – reduced export demand, lower remittances, and lower foreign investments – contribute around one-third of total GDP losses; • The GDP of Indonesia’s agri-food system falls by 13 percent despite agriculture activities being excluded from restrictive measures; • National poverty is expected to jump by 13 percentage points – an additional 36 million people will fall into poverty during the four-week PSBB period; and • By the end of 2020, due to COVID-19 the annual GDP growth is expected to be between 5.3 and 7.3 percent lower than under a baseline scenario without COVID-19.
The short-run economic costs of COVID-19 in developing countries in 2020: A synthesis of results from a multi-country modeling exercise
Author: Pauw, Karl
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 29
Book Description
As COVID-19 spread across the globe in early 2020, governments had to make difficult policy choices to balance the socioeconomic costs of social distancing and lockdown measures, on the one hand, and the human costs of increased morbidity and mortality of an unchecked pandemic, on the other. The challenge was particularly daunting for developing countries with their often illequipped and underfunded health systems coupled with general skepticism about the effectiveness of economic restrictions to curb viral spread, especially in densely populated informal urban communities (The Economist 2020). Poorer developing country populations also tend to be less resilient to income shocks, while the social protection measures needed to mitigate against income losses are costly. With developing country governments already heavily indebted before the pandemic (Onyekwena and Ekeruche 2019), and with further anticipated losses in tax revenues due to COVID-related economic restrictions, their ability to finance palliative measures without sacrificing much-needed, longer-term public investments has remained a major concern.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 29
Book Description
As COVID-19 spread across the globe in early 2020, governments had to make difficult policy choices to balance the socioeconomic costs of social distancing and lockdown measures, on the one hand, and the human costs of increased morbidity and mortality of an unchecked pandemic, on the other. The challenge was particularly daunting for developing countries with their often illequipped and underfunded health systems coupled with general skepticism about the effectiveness of economic restrictions to curb viral spread, especially in densely populated informal urban communities (The Economist 2020). Poorer developing country populations also tend to be less resilient to income shocks, while the social protection measures needed to mitigate against income losses are costly. With developing country governments already heavily indebted before the pandemic (Onyekwena and Ekeruche 2019), and with further anticipated losses in tax revenues due to COVID-related economic restrictions, their ability to finance palliative measures without sacrificing much-needed, longer-term public investments has remained a major concern.
Coronaviruses: Transmission, Frontliners, Nanotechnology and Economy
Author: Pasupuleti Visweswara Rao
Publisher: Universiti Malaysia Sabah Press
ISBN: 9672738188
Category : Health & Fitness
Languages : en
Pages : 150
Book Description
With the huge experience more than a decade as an author, co-author and reviewer, the editors decided to share the knowledge on the current problem which is COVID-19. The information about corona virus and its impact on various aspects including society, economy and the quality of life is clearly given in this book. The virus has been spread across the globe and troubling the mankind. Till date, several countries have been damaged literally not only with the lives, but also with the loss of economy, mental ability, psychological issues etc. More variants of this virus have also been observed with more severity and damage to the humans. This pandemic affected the life of the people socially, economically, physically, and mentally. The human loss through this pandemic cannot be recovered. The awareness about the virus, its transmission and precautions, causative ways, different methods of drugs etc. needs to be provided to the layman and as whole to the community. This book mainly aims to answer all the above raised issues and worked out thoroughly. Thus, this book is a comprehensive information with basic knowledge about different aspects surrounding COVID-19. Layman, Young researchers, basic science graduates, medical and clinical sciences graduates, students, hospital workers, nurses, doctors, engineers, and every professional area of people can benefit from this book.
Publisher: Universiti Malaysia Sabah Press
ISBN: 9672738188
Category : Health & Fitness
Languages : en
Pages : 150
Book Description
With the huge experience more than a decade as an author, co-author and reviewer, the editors decided to share the knowledge on the current problem which is COVID-19. The information about corona virus and its impact on various aspects including society, economy and the quality of life is clearly given in this book. The virus has been spread across the globe and troubling the mankind. Till date, several countries have been damaged literally not only with the lives, but also with the loss of economy, mental ability, psychological issues etc. More variants of this virus have also been observed with more severity and damage to the humans. This pandemic affected the life of the people socially, economically, physically, and mentally. The human loss through this pandemic cannot be recovered. The awareness about the virus, its transmission and precautions, causative ways, different methods of drugs etc. needs to be provided to the layman and as whole to the community. This book mainly aims to answer all the above raised issues and worked out thoroughly. Thus, this book is a comprehensive information with basic knowledge about different aspects surrounding COVID-19. Layman, Young researchers, basic science graduates, medical and clinical sciences graduates, students, hospital workers, nurses, doctors, engineers, and every professional area of people can benefit from this book.
Poverty and food insecurity during COVID-19: Telephone survey evidence from mothers in rural and urban Myanmar
Author: Headey, Derek D.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 28
Book Description
Myanmar had one of the lowest confirmed COVID-19 caseloads in the world in mid-2020 and was one of the few developing countries not projected to go into economic recession. However, macroeconomic projections are likely to be a poor guide to individual and household welfare in a fast-moving crisis that has involved disruption to an unusually wide range of sectors and livelihoods. To explore the impacts of COVID-19 disruptions on household poverty and coping strategies, as well as maternal food insecurity experiences, this study used a telephone survey conducted in June and July 2020 covering 2,017 mothers of nutritionally vulnerable young children in urban Yangon and rural villages of Myanmar’s Dry Zone. Stratifying results by location, livelihoods, and asset-levels, and using retrospective questions on pre-COVID-19 incomes and various COVID-19 impacts, we find that the vast majority of households have been adversely affected from loss of income and employment. Over three-quarters cite income/job losses as the main impact of COVID-19 – median incomes declined by one third and $1.90/day income-based poverty rose by around 27 percentage points between January and June 2020. Falling into poverty was most strongly associated with loss of employment (including migrant employment), but also with recent childbirth. The poor commonly coped with income losses through taking loans/credit, while better-off households drew down on savings and reduced non-food expenditures. Self-reported food insecurity experiences were much more common in the urban sample than in the rural sample, even though income-based and asset-based poverty were more prevalent in rural areas. In urban areas, around one quarter of respondents were worried about food quantities and quality, and around 10 percent stated that there were times when they had run out of food or gone hungry. Respondents who stated that their household had lost income or experienced food supply problems due to COVID-19 were more likely to report a variety of different food insecurity experiences. These results raise the concern that the welfare impacts of the COVID-19 crisis are much more serious and widespread than macroeconomic projections would suggest. Loss of employment and casual labor are major drivers of increasing poverty. Consequently, economic recovery strategies must emphasize job creation to revitalize damaged livelihoods. However, a strengthened social protection strategy should also be a critical component of economic recovery to prevent adversely affected households from falling into poverty traps and to avert the worst forms of food insecurity and malnutrition, particularly among households with pregnant women and young children. The recent second wave of COVID-19 infections in Myanmar from mid-August onwards makes the expansion of social protection even more imperative.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 28
Book Description
Myanmar had one of the lowest confirmed COVID-19 caseloads in the world in mid-2020 and was one of the few developing countries not projected to go into economic recession. However, macroeconomic projections are likely to be a poor guide to individual and household welfare in a fast-moving crisis that has involved disruption to an unusually wide range of sectors and livelihoods. To explore the impacts of COVID-19 disruptions on household poverty and coping strategies, as well as maternal food insecurity experiences, this study used a telephone survey conducted in June and July 2020 covering 2,017 mothers of nutritionally vulnerable young children in urban Yangon and rural villages of Myanmar’s Dry Zone. Stratifying results by location, livelihoods, and asset-levels, and using retrospective questions on pre-COVID-19 incomes and various COVID-19 impacts, we find that the vast majority of households have been adversely affected from loss of income and employment. Over three-quarters cite income/job losses as the main impact of COVID-19 – median incomes declined by one third and $1.90/day income-based poverty rose by around 27 percentage points between January and June 2020. Falling into poverty was most strongly associated with loss of employment (including migrant employment), but also with recent childbirth. The poor commonly coped with income losses through taking loans/credit, while better-off households drew down on savings and reduced non-food expenditures. Self-reported food insecurity experiences were much more common in the urban sample than in the rural sample, even though income-based and asset-based poverty were more prevalent in rural areas. In urban areas, around one quarter of respondents were worried about food quantities and quality, and around 10 percent stated that there were times when they had run out of food or gone hungry. Respondents who stated that their household had lost income or experienced food supply problems due to COVID-19 were more likely to report a variety of different food insecurity experiences. These results raise the concern that the welfare impacts of the COVID-19 crisis are much more serious and widespread than macroeconomic projections would suggest. Loss of employment and casual labor are major drivers of increasing poverty. Consequently, economic recovery strategies must emphasize job creation to revitalize damaged livelihoods. However, a strengthened social protection strategy should also be a critical component of economic recovery to prevent adversely affected households from falling into poverty traps and to avert the worst forms of food insecurity and malnutrition, particularly among households with pregnant women and young children. The recent second wave of COVID-19 infections in Myanmar from mid-August onwards makes the expansion of social protection even more imperative.
Estimating the economic impacts of the first wave of COVID-19 in Pakistan using a SAM Multiplier Model
Author: Moeen, Muhammad Saad
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 42
Book Description
Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan. SAM multiplier models are well-suited to estimate the direct and indirect effects of unanticipated demand-side shocks and short-term fluctuations on various sectors and agents in the economy, such as those caused by the COVID-19 pandemic. The results show that Pakistan’s GDP declined by 26.4 percent from mid-March to the end of June 2020 (14 weeks) compared to a non-COVID scenario. Services were hit the hardest, registering losses of 17.6 percent, followed by industry with losses of 6.7 percent. Agriculture turned out to be resilient and remained relatively unhurt, falling by 2.1 percent. All households witnessed a reduction in incomes, but higher-income quartiles appeared to have lost more than lower-income ones. Our approach for economic impact with mitigation measures is to assess the effectiveness of Emergency Response Packages (ERP) by altering the remittances to levels that reflect the magnitude of the support from the government. The total government expenditures were directed towards different kinds of households of PKR 318.6 billion (USD 2.12 billion). This led to a reduction of about USD 3.1 billion in GDP losses, which, compared to the amount spent implied a multiplier of 1.4 in GDP per PKR spent. The national poverty rate soared to 43 percent and 38.7 percent in April and May respectively. The Government’s cash transfers program proved highly effective and led to 11 percent reduction in poverty rate during the pandemic. The recovery scenarios indicate a cumulative GDP loss of USD 11.8 billion and 11.1 USD billion under slow and fast recovery scenarios, respectively, by December 2020. Our estimates show that Pakistan’s annual GDP (at market prices) will register a decline of 4.6 percent in the year 2020 due to negative effects of the pandemic and sluggish economic recovery. Poverty is expected to stabilize at 27.6 percent and 27.4 percent for the two recovery scenarios by December 2020.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 42
Book Description
Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan. SAM multiplier models are well-suited to estimate the direct and indirect effects of unanticipated demand-side shocks and short-term fluctuations on various sectors and agents in the economy, such as those caused by the COVID-19 pandemic. The results show that Pakistan’s GDP declined by 26.4 percent from mid-March to the end of June 2020 (14 weeks) compared to a non-COVID scenario. Services were hit the hardest, registering losses of 17.6 percent, followed by industry with losses of 6.7 percent. Agriculture turned out to be resilient and remained relatively unhurt, falling by 2.1 percent. All households witnessed a reduction in incomes, but higher-income quartiles appeared to have lost more than lower-income ones. Our approach for economic impact with mitigation measures is to assess the effectiveness of Emergency Response Packages (ERP) by altering the remittances to levels that reflect the magnitude of the support from the government. The total government expenditures were directed towards different kinds of households of PKR 318.6 billion (USD 2.12 billion). This led to a reduction of about USD 3.1 billion in GDP losses, which, compared to the amount spent implied a multiplier of 1.4 in GDP per PKR spent. The national poverty rate soared to 43 percent and 38.7 percent in April and May respectively. The Government’s cash transfers program proved highly effective and led to 11 percent reduction in poverty rate during the pandemic. The recovery scenarios indicate a cumulative GDP loss of USD 11.8 billion and 11.1 USD billion under slow and fast recovery scenarios, respectively, by December 2020. Our estimates show that Pakistan’s annual GDP (at market prices) will register a decline of 4.6 percent in the year 2020 due to negative effects of the pandemic and sluggish economic recovery. Poverty is expected to stabilize at 27.6 percent and 27.4 percent for the two recovery scenarios by December 2020.
COVID-19: Estimating impact on the economy and poverty in Pakistan: Using SAM Multiplier Model
Author: Moeen, Muhammad Saad
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 40
Book Description
Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan. SAM multiplier models are well-suited to estimate the direct and indirect effects of unanticipated demand-side shocks and short-term fluctuations on various sectors and agents in the economy, such as those caused by the COVID19 pandemic. The results show that Pakistan’s GDP declined by 26.4 percent from mid-March to the end of June 2020 (14 weeks) compared to a non-COVID scenario. Services were hit the hardest, registering losses of 17.6 percent, followed by industry with losses of 6.7 percent. Agriculture turned out to be resilient and remained relatively unhurt, falling by 2.1 percent. All households witnessed a reduction in incomes, but higher-income quartiles appeared to have lost more than lower-income ones. Our approach for economic impact with mitigation measures is to assess the effectiveness of Emergency Response Packages (ERP) by altering the remittances to levels that reflect the magnitude of the support from the government. The total government expenditures were directed towards different kinds of households of PKR 318.6 billion (USD 2.12 billion). This led to a reduction of about USD 3.1 billion in GDP losses, which, compared to the amount spent implied a multiplier of 1.4 in GDP per PKR spent. The national poverty rate soared to 43 percent and 38.7 percent in April and May respectively. The Government’s cash transfers program proved highly effective and led to 11 percent reduction in poverty rate during the pandemic. The recovery scenarios indicate a cumulative GDP loss of USD 11.8 billion and 11.1 USD billion under slow and fast recovery scenarios, respectively, by December 2020. Our estimates show that Pakistan’s annual GDP (at market prices) will register a decline of 4.6 percent in the year 2020 due to negative effects of the pandemic and sluggish economic recovery. Poverty is expected to stabilize at 27.6 percent and 27.4 percent for the two recovery scenarios by December 2020.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 40
Book Description
Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan. SAM multiplier models are well-suited to estimate the direct and indirect effects of unanticipated demand-side shocks and short-term fluctuations on various sectors and agents in the economy, such as those caused by the COVID19 pandemic. The results show that Pakistan’s GDP declined by 26.4 percent from mid-March to the end of June 2020 (14 weeks) compared to a non-COVID scenario. Services were hit the hardest, registering losses of 17.6 percent, followed by industry with losses of 6.7 percent. Agriculture turned out to be resilient and remained relatively unhurt, falling by 2.1 percent. All households witnessed a reduction in incomes, but higher-income quartiles appeared to have lost more than lower-income ones. Our approach for economic impact with mitigation measures is to assess the effectiveness of Emergency Response Packages (ERP) by altering the remittances to levels that reflect the magnitude of the support from the government. The total government expenditures were directed towards different kinds of households of PKR 318.6 billion (USD 2.12 billion). This led to a reduction of about USD 3.1 billion in GDP losses, which, compared to the amount spent implied a multiplier of 1.4 in GDP per PKR spent. The national poverty rate soared to 43 percent and 38.7 percent in April and May respectively. The Government’s cash transfers program proved highly effective and led to 11 percent reduction in poverty rate during the pandemic. The recovery scenarios indicate a cumulative GDP loss of USD 11.8 billion and 11.1 USD billion under slow and fast recovery scenarios, respectively, by December 2020. Our estimates show that Pakistan’s annual GDP (at market prices) will register a decline of 4.6 percent in the year 2020 due to negative effects of the pandemic and sluggish economic recovery. Poverty is expected to stabilize at 27.6 percent and 27.4 percent for the two recovery scenarios by December 2020.
Deep Learning for Medical Applications with Unique Data
Author: Deepak Gupta
Publisher: Academic Press
ISBN: 0128241462
Category : Science
Languages : en
Pages : 258
Book Description
Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems. - Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets - Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis - Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications
Publisher: Academic Press
ISBN: 0128241462
Category : Science
Languages : en
Pages : 258
Book Description
Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems. - Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets - Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis - Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications
Mitigating poverty and undernutrition through social protection: A simulation analysis of the COVID-19 pandemic in Bangladesh and Myanmar
Author: Ecker, Olivier
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 51
Book Description
The COVID-19 pandemic resulted in severe income losses, but little is known about its impacts on diets and nutritional adequacy, or the effectiveness of social protection interventions in mitigating dietary and nutritional impacts. We first assess the likely impacts of COVID-19 shocks in Bangladesh and Myanmar on poverty and food and nutrient consumption gaps. We then analyze the estimated mitigating effects of five hypothetical social protection interventions of a typical monetary value: (1) cash transfers; (2) in-kind transfers of common rice; (3) in-kind transfers of fortified rice enriched with multiple essential micronutrients; (4) vouchers for a diversified basket of rice and non-staple foods; and (5) food vouchers with fortified rice instead of common rice. The simulation results suggest modest effectiveness of the cash transfers for mitigating poverty increases and little effectiveness of all five transfers for preventing increasing food and nutrient consumption gaps among the poorest 40%. Rice fortification is, however, effective at closing key micronutrient consumption gaps and could be a suitable policy instrument for averting ‘hidden hunger’ during economic crises.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 51
Book Description
The COVID-19 pandemic resulted in severe income losses, but little is known about its impacts on diets and nutritional adequacy, or the effectiveness of social protection interventions in mitigating dietary and nutritional impacts. We first assess the likely impacts of COVID-19 shocks in Bangladesh and Myanmar on poverty and food and nutrient consumption gaps. We then analyze the estimated mitigating effects of five hypothetical social protection interventions of a typical monetary value: (1) cash transfers; (2) in-kind transfers of common rice; (3) in-kind transfers of fortified rice enriched with multiple essential micronutrients; (4) vouchers for a diversified basket of rice and non-staple foods; and (5) food vouchers with fortified rice instead of common rice. The simulation results suggest modest effectiveness of the cash transfers for mitigating poverty increases and little effectiveness of all five transfers for preventing increasing food and nutrient consumption gaps among the poorest 40%. Rice fortification is, however, effective at closing key micronutrient consumption gaps and could be a suitable policy instrument for averting ‘hidden hunger’ during economic crises.
The impacts of the COVID-19 crisis on maternal and child malnutrition in Myanmar: What to expect, and how to protect
Author: Headey, Derek D.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 15
Book Description
The COVID-19 crisis in Myanmar poses a very serious risk to the nutritional status of vulnerable populations, notably women and children, as well as poor urban populations and internally displaced persons. The COVID-19 crisis will hit vulnerable groups through multiple mechanisms.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 15
Book Description
The COVID-19 crisis in Myanmar poses a very serious risk to the nutritional status of vulnerable populations, notably women and children, as well as poor urban populations and internally displaced persons. The COVID-19 crisis will hit vulnerable groups through multiple mechanisms.
COVID-19 and global food security: Two years later
Author: McDermott, John
Publisher: Intl Food Policy Res Inst
ISBN: 0896294226
Category : Political Science
Languages : en
Pages : 200
Book Description
Two years after the onset of the COVID-19 pandemic, the health, economic, and social disruptions caused by this global crisis continue to evolve. The impacts of the pandemic are likely to endure for years to come, with poor, marginalized, and vulnerable groups the most affected. In COVID-19 & Global Food Security: Two Years Later, the editors bring together contributions from new IFPRI research, blogs, and the CGIAR COVID-19 Hub to examine the pandemic’s effects on poverty, food security, nutrition, and health around the world. This volume presents key lessons learned on food security and food system resilience in 2020 and 2021 and assesses the effectiveness of policy responses to the crisis. Looking forward, the authors consider how the pandemic experience can inform both recovery and longer-term efforts to build more resilient food systems.
Publisher: Intl Food Policy Res Inst
ISBN: 0896294226
Category : Political Science
Languages : en
Pages : 200
Book Description
Two years after the onset of the COVID-19 pandemic, the health, economic, and social disruptions caused by this global crisis continue to evolve. The impacts of the pandemic are likely to endure for years to come, with poor, marginalized, and vulnerable groups the most affected. In COVID-19 & Global Food Security: Two Years Later, the editors bring together contributions from new IFPRI research, blogs, and the CGIAR COVID-19 Hub to examine the pandemic’s effects on poverty, food security, nutrition, and health around the world. This volume presents key lessons learned on food security and food system resilience in 2020 and 2021 and assesses the effectiveness of policy responses to the crisis. Looking forward, the authors consider how the pandemic experience can inform both recovery and longer-term efforts to build more resilient food systems.