The Impact Of Covid 19 On Tunisia S Economy Agri Food System And Households

The COVID-19 crisis is expected to lead to a 46.4 percent decline in Tunisia’s GDP during the 2nd quarter of 2020 (April to June). The industrial sector will be hit hardest, with output falling by 52.7 percent, followed closely by services (-49.0 percent) and agriculture (-16.2 percent). These high losses are a result of the complete lockdown imposed in the country to contain the pandemic. Higher-income urban households will see the largest income losses, although lower-income urban households also will experience significant reductions in their income. As a policy response, social transfers towards poorer households will reduce the adverse welfare impact of these drops in household income. Government policies to support struggling businesses will allow economic activities to revive more rapidly when the lockdown loosens. Consequently, comprehensive planning by the Government of Tunisia to re-open the economy will be critical to reduce the pandemic’s adverse impact on the country’s economy in the longer-term, reducing losses of employment and income, especially in manufacturing and retail.

COVID-19 is one of multiple crises to have hit the Middle East and North Africa (MENA) region in the decade following the Arab Spring. War, oil price declines, economic slowdowns, and now a pandemic are tearing at the social fabric of a region characterized by high rates of unemployment, high levels of informality, and low annual economic growth. The economic costs of the pandemic are estimated at about US$227 billion, and fiscal support packages across MENA are averaging 2.7 percent of GDP, putting pressure on already weak fiscal balances and making a quick recovery challenging. Even before the COVID-19 pandemic, MENA was the only region in the world experiencing increases in poverty and declines in life satisfaction. Distributional Impacts of COVID-19 in the Middle East and North Africa Region investigates how COVID-19 changed the welfare of individuals and households in the region. It does so by relying on phone surveys implemented across the region and complements these with microsimulation exercises to assess the impact of COVID-19 on jobs, income, poverty, and inequality. The two approaches complement and corroborate each other's results, thereby making the findings more robust and richer. This report's results show that, in the short run, poverty rates in MENA will increase significantly and inequality will widen. A group of 'new poor' is likely to emerge that may have difficulty recovering from the economic consequences of COVID-19. The report adds value by analyzing newly gathered primary data, along with projections based on newly modeled micro- and macrosimulations, and by identifying key issues that policy makers should focus on to enable a quick, inclusive, and sustained economic recovery.

This report describes: (i) policy measures enacted by the Government of Ethiopia to contain the spread of the virus; (ii) policies and measures to stabilize the functioning of agri-food systems; (iii) potential effects of policies on agri-food systems and vulnerable groups. Finally, the profile also assesses longer-term options for agri-food system policies and investments in Ethiopia so as to make them more resilient.

This note presents the results of an evaluation of public investment options for Egypt’s agri-food system. Nine agriculture-related public investments are considered, including targeting public spending to expand farm production, e.g., irrigation improvements, input subsidies, agricultural research, and extension, and to promote downstream agro-processing and marketing. The outcome indicators considered are economic (GDP) growth, incomes of the poor, job creation, and dietary diversity. IFPRI’s Rural Investment and Policy Analysis (RIAPA) economywide model is used for the evaluation because it captures linkages between sectors, households, and rural-urban economies and measures changes within and beyond the agri-food system. RIAPA is linked to the Agricultural Investment and Data Analysis (AIDA) module that tracks investment impacts and costs over time. The ranked results of the public investment options considered, summarized in the table here, can help prioritize agri-food system investments for post-COVID-19 recovery.

This report is part of a series of country profiles that describe: (i) policy measures enacted by the government of South Sudan to contain the spread of the virus; (ii) policies and measures to stabilize the functioning of agri-food systems; (iii) potential effects of policies on agri-food systems and vulnerable groups. Finally, the profiles also assess longer-term options for agri-food system policies and investments to make them more resilient.

This paper is part of a series of three country-case studies to investigate the potential role of agro-processing for economic development based on the strong backward and forward linkages agro-processing firms have with the agricultural sector. Previous analyses for Egypt and Jordan (Figueroa, Mahmoud, and Breisinger 2017; El-Enbaby et al. 2016) have shown how developing the agro-processing sub-sector as well as encouraging the production of high-value crops can promote economic and social well-being, especially in rural areas where the majority of the poor are concentrated. In continuation with this line of research, this paper aims at analyzing: • What role agriculture has played for the Tunisian economy in recent years; • What is the role of agricultural productivity and structural change in fostering agricultural growth in Tunisia; and • What is the potential of agro-processing for economic development and rural transformation in the country.

There have been numerous economic difficulties felt by several countries in the Near East and North Africa (NENA) in recent years, generating difficult and region-specific challenges for the food and agriculture systems of the region. The COVID-19 pandemic and the consequent economic crisis made a bad situation worse. This report does an extensive review and analysis of policy decisions made by 19 governments in the region in response to the COVID-19 crisis, from March 2020 to May 2020. The broad range of policy decisions were reviewed based on the Food and Agriculture Policy Decision Analysis (FAPDA) database, complemented by information on disruptions of food and agriculture systems and related policy responses provided by regional and country offices. Results from the review indicate what were the major policy responses from most countries in the region, including common policy responses targeting consumers and producers. It further shows that the magnitude of measures implemented in the region is characterized by a somewhat foreseeable divide between oil- and gas-rich countries and all other NENA countries. Benefiting from this consolidated analysis of the regional policy response, the report draws insights and provides general recommendations that may feed the policy debate at the national, regional, and global levels, facilitating better-targeted policy support and contribute to economic recovery with coordinated policy responses across countries.

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.