The impacts of the COVID-19 pandemic and government policies to limit its spread are multi-faceted and complex. Market linkages transmit these impacts through economies, from directly affected actors to others in both the urban and rural spheres. Economic contexts, including the structure of local economies, shape the transmission of impacts on rural men and women. Because of this, the pandemic, lockdowns, and mitigation policies influence outcomes in complex ways. In most cases, the magnitudes and even the signs of impacts cannot be determined ex ante. In this study, we use multiple local economy-wide impact evaluation (LEWIE) models to estimate the impacts of the pandemic and lockdowns on rural producers and households in a diversity of economic and agro-climatic settings, using simulation methods. We also examine the likely effects of alternative migitation measures.
This note focuses on the implications of COVID-19 on rural development and the policy responses that OECD member countries are adopting. It first discusses the economic effects on rural regions followed by an identification of opportunities and associated challenges. The note then summarises how governments are responding to the crisis and identifies how governments can prepare to leverage opportunities. The note will be subsequently revised with further inputs provided by countries.
This report contributes to the project ‘Securing agriculture and rural development in times of COVID-19, pathways to regional responses for recovery, reforms, and resilience’ by the Food and Agriculture Organization of the United Nations (FAO). The objectives of the report are threefold: 1) to assess the multiple impacts of the COVID-19 pandemic on agriculture, food security, and rural community; 2) to review the policy responses taken by the governments of eight Central Asia and Caucasus (CAC) countries to mitigate the effects of the crisis, and 3) to provide contextual options to build the resilience of the agricultural sector during post-COVID-19 recovery and against future shocks.
In this paper we focus specifically on differences in the welfare impacts of COVID-19 on rural livelihoods between countries using nationally representative data that we disaggregate by food system typology. This typology captures key structural differences in the organization of rural economies and the vulnerabilities to rural livelihoods due to the COVID-19 pandemic and associated lockdown measures. In particular, we draw on household survey data collected from 54 countries through the World Bank’s COVID-19 High Frequency Monitoring Dashboard to generate descriptive data on COVID-19 impacts in rural areas across three dimensions: income, coping strategies and food security. These descriptive data are disaggregated into four food system categories and contextualized and validated through a systematic review of rigorous, survey-based studies of COVID-19 impacts in rural areas. Through this analysis, the report provides insights on how COVID-19 is influencing rural livelihoods, how its impacts vary between countries and food system typologies, and, ultimately, how policymakers and the international community need to respond in order to foster an inclusive and sustainable recovery.
This book analyses the economic and social impact of the Covid-19 crisis with special focus on India. It examines the economic disruption caused by the pandemic, policy responses to it and the prospect of a severe global recession. It also covers how the pandemic has contributed to considerable suffering among the masses and affected socio-cultural relationships, behavioural patterns and psychological attitudes governing human interaction. A topical and timely collection on the pandemic, the essays in the volume discuss several key themes which include, · The Corona pandemic and the changing global economy; growth, trade and macroeconomic recovery; · Public health and policy failures; appropriate policy response; · Impact on education; guidelines for the future; · Idea of economic herd immunity; impact of India’s lockdown, crisis of the migrant labourers; · Impact on agriculture, industry, firms, households and the informal sector; · Implications of digital technology for production, labour and labour relations; · Violence amidst the virus; Covid 19 and Hindu- Muslim conflict in India, domestic violence, questions of occupation, identity, gender and vulnerability; · De-globalisation and environmental challenges in the post-Covid era. Engagingly written, this comprehensive volume compiles original research by leading economists from India and abroad. It will be useful for scholars and researchers of economics, of the Indian economy, development economics, development studies, labour studies, public policy, public administration, governance, sociology and political economy.
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.
This book examines how COVID-19 has often enhanced social and economic marginalisation in different places and societies around the world. It explores the reality that selective deglobalisation is occurring and over and above the human tragedy which has been experienced, many societies and economies have had to adapt to the new reality which they find themselves in. Governments have been challenged to improve health care and provide economic relief and stimulus packages to sectors as diverse as tourism and education which have had to develop new ways of coping. Resilience theory is drawn on to help explain some of the creative responses which we observe, while in other places deep-rooted concerns for the future are a stark reality. By describing how the pandemic has exacerbated pre-existing geographic, social and economic marginalisation, particularly for the most vulnerable places, societies and economic activities globally, this book provides insight into the impacts and implications across the world and reflects on the different experiences.
Understanding how the Papua New Guinea (PNG) agricultural economy and associated household consumption is affected by climate, market and other shocks requires attention to linkages and substitution effects across various products and the markets in which they are traded. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. We have built the model to be flexible in order to explore different potential scenarios and then identify where and how households are most affected by an unexpected shock. The model is designed using region and country-level data sources that inform the structure of the PNG food economy, allowing for a data-driven evaluation of potential impacts on agricultural production, food prices, and food consumption. Thus, as PNG confronts different unexpected challenges within its agricultural economy, the model presented in this paper can be adapted to evaluate the potential impact and necessary response by geographic region of an unexpected economic shock on the food economy of the country. We present ten simulations modeling the effects of various shocks on PNG’s economy. The first group of scenarios consider the effects of shocks to production of specific agricultural commodities including: 1) a decrease on maize and sorghum output due to Fall Armyworm; 2) reduction in pig production due to a potential outbreak of African Swine Fever; 3) decline in sweet potato production similar to the 2015/16 El Niño Southern Oscillation (ENSO) climate shock; and 4) a decline in poultry production due to COVID-19 restrictions on domestic mobility and trade. A synopsis of this report, which focuses on the COVID-19 related shocks on the PNG economy is also available online (Diao et al., 2020).1 The second group of simulations focus on COVID-19-related changes in international prices, increased marketing costs in international and domestic trade, and reductions in urban incomes. We simulate a 1) 30 percent increase in the price of imported rice, 2) a 30 percent decrease in world prices for major PNG agricultural exports, 3) higher trade transaction costs due to restrictions on the movement of people (traders) and goods given social distancing measures of COVID-19, and 4) potential economic recession causing urban household income to fall by 10 percent. Finally, the last simulation considers the combined effect of all COVID-19 related shocks combining the above scenarios into a single simulation. A key result of the analysis is that urban households, especially the urban poor, are particularly vulnerable to shocks related to the Covid-19 pandemic. Lower economic activity in urban areas (assumed to reduce urban non-agricultural incomes by 10 percent), increases in marketing costs due to domestic trade disruptions, and 30 percent higher imported rice prices combine to lower urban incomes by almost 15 percent for both poor and non-poor urban households. Urban poor households, however, suffer the largest drop in calorie consumption - 19.8 percent, compared to a 15.8 percent decline for urban non-poor households. Rural households are much less affected by the Covid-19 related shocks modeled in these simulations. Rural household incomes, affected mainly by reduced urban demand and market disruptions, fall by only about four percent. Nonetheless, calorie consumption for the rural poor and non-poor falls by 5.5 and 4.2 percent, respectively.
This report assesses the impacts of the COVID-19 on the agrifood sector and rural areas in Türkiye. Taking a panoramic picture of the agrifood sector in the country during the COVID-19 period, the study portrays how the pandemic impact on agrifood chains, smallholders and rural economies in Türkiye. The report titled “COVID-19 Rapid Impact Assessment on Agri-Food Sector and Rural Areas in Türkiye” is an outcome of a joint study by the International Fund for Agricultural Development (IFAD), the United Nations Development Programme (UNDP), the Food and Agriculture Organization of the United Nations (FAO), and the Ministry of Agriculture and Forestry of Türkiye. Besides assessments on how the pandemic has affected agrifood sector, the report presents policy recommendations for sector preparedness and response, and agricultural and rural resilience. Moreover, the report sheds light on the connection between its suggestions and the Sustainable Development Goals.Authors of this study aims to contribute to the COVID-19 Socio-Economic Impact and Response Task Team (SEIRTT) in United Nations Türkiye, co-led by United Nations Development Programme (UNDP) and the Resident Coordinator’s Office. In thematic terms, the report supports efforts to analyse socio-economic dimensions of the COVID-19 in Türkiye. Moreover, the report sets the basis for further institutional engagement with Government and other relevant partners and stakeholders in the short to medium term with respect to agriculture and food sectors.KEYWORDS:
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.
