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Fasting, food and farming: Value chains and food taboos in Ethiopia

The impact of food taboos–often because of religion–is understudied. In Ethiopia, religious fasting by Orthodox Christians is assumed to be an important impediment for the sustainable development of a competitive dairy sector and desired higher milk consumption, especially by children. However, evidence is limited. Relying on unique data, we shed light on three major issues. First, we observe that the average annual number of fasting days that Orthodox adults are effectively adhering to is 140, less than commonly cited averages.

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By S. Gustafson  (published on December 12, 2021)

This blog apprear originally on FoodSecurityPortal.ORG 

 Photo credit: UNICEFEthiopi/2020/NahomTesfaye

Introduction

As Ethiopia’s population has become increasingly urbanized over the past decade, more and more households have come to rely on markets, rather than their own farms, for their daily food needs. This dependence means that well-functioning agri-food value chains have become increasingly vital to food security for much of the population. The onset of the COVID-19 pandemic raised serious concerns about the resilience of these value chains; while Ethiopia never closed its borders or imposed full lockdown measures, efforts to contain the virus still had the potential to disrupt the agri-food system and negatively impact food and nutrition security. A new series of working papers from IFPRI’s Ethiopia Strategy Support Program (ESSP) examines how two important value chains – the dairy value chain and the vegetable value chain – fared during the pandemic.

How value chains have responded and adapted to the COVID-19 pandemic

The studies draw on in-person survey data from February 2018 (for dairy) and February 2020 (for vegetables) and phone survey data from June and September 2021 (for dairy) and March 2021 (for vegetables). Comparison of these data allowed the authors to examine how value chains have responded and adapted to the COVID-19 pandemic. The authors used a cascading survey approach to collect and analyze data across the entire value chains, from rural and peri-urban producers to wholesalers and urban retailers.

Overall, Ethiopia’s dairy value chain appears remarkably resilient to the impacts of the COVID-19 pandemic and the associated containment measures imposed by the government. While nine percent of dairy farmers stopped engaging in the dairy value chain between February 2018 and June 2021, this decline can be attributable to rising feed prices, and potentially to a lack of access to credit and extension services, rather than to the pandemic’s impacts. Similarly, while 36 percent of milk wholesalers reported that they stopped trading dairy products within the study timeframe, they attributed this decision to increased competition within the sector and limited supply of milk and butter from rural areas, not to COVID-19. While a small number of urban retailers cited the pandemic as at least one of the reasons they stopped selling dairy products, the study found that the quantity of dairy products traded actually increased between 2018 and 2021.

Milk prices have risen steadily and significantly in Ethiopia over the past three years, matching the general high inflation seen in the country. Between 2018 and 2021, however, milk prices remained relatively stable (0.92 USD/liter in 2018 compared to 0.91 USD /liter in 2021). In addition, the amount that farmers received from the final retail price rose slightly during that timeframe. The dairy sector also did not experience a rise in post-harvest losses (as measured by quantity of milk wasted) during the pandemic.

While slightly more mixed, impacts of the COVID-19 pandemic on Ethiopia’s vegetable value chain also appear minimal. Farmers’ main concern was rising input prices; these price increases, rather than the pandemic itself or related containment measures, largely drove production decisions.

At the wholesaler level, the pandemic had more direct effects. At the start of the pandemic, the major wholesale vegetable market in Addis Ababa, the capital, was moved to the outskirts of the city to allow for more effective social distancing. Many surveyed traders reported that this relocation more negatively impacted their business than the pandemic itself. Between February 2020 and March 2021, most traders saw a loss in both number of clients and volume of vegetables traded, and the majority of these traders cited the relocation of the market as the cause.

Urban retailers also reported negative impacts from the relocation of the wholesale market. In addition, two-thirds of retailers said that they had fewer choices when it came to transportation of goods from wholesale markets than they did prior to the pandemic; while the majority of these cited the market relocation as the reason for this, 19 percent stated that it was due to the pandemic itself.

Significant volatility in vegetable prices throughout the study timeframe

The study found significant volatility in vegetable prices throughout the study timeframe. The price of many key vegetables in household food baskets, such as onions, rose at the start of the pandemic, and many farmers initially responded by ramping up production to benefit from the increased prices. This in turn resulted in an oversupply in the Addis Ababa market, which drove farm gate and final consumer prices back down. All value chain actors—farmers, wholesalers, and retailers—reported that this price volatility was a major concern for them in the long term. It is important to note, however, that prices and price movements vary among the different vegetable crops. In addition, the volatility seen during the survey period cannot be attributed to the COVID-19 pandemic with any certainty, as the vegetable value chain in Ethiopia is generally characterized by a high degree of price volatility.

Post-harvest losses along the vegetable value chain also varied by crop. The largest losses were seen for tomatoes (11.5 percent, while the lowest were seen for onions (2.6 percent). In addition, where these losses occurred also differed widely. Tomatoes saw the highest losses at the retail level, while nearly all of the losses for cabbage occurred at the wholesale level.

Conclusions

Overall, the ESSP surveys suggest that important agri-food value chains in Ethiopia remained generally resilient in the face of the COVID-19 pandemic’s direct impacts.

 

Citation: Hirvonen, Kalle; Habte, Yetmwork; Mohammed, Belay; Tamru, Seneshaw; Abate, Gashaw Tadesse; and Minten, Bart. 2021. Dairy value chains during the COVID-19 pandemic in Ethiopia: Evidence from cascading value chain surveys before and during the pandemic. ESSP Working Paper 160. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.134764

 

Citation: Hirvonen, Kalle; Mohammed, Belay; Tamru, Seneshaw; Abate, Gashaw Tadesse; and Minten, Bart. 2021. Vegetable value chains during the COVID-19 pandemic in Ethiopia: Evidence from cascading value chain surveys before and during the pandemic. ESSP Working Paper 159. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.134768

Dairy value chains during the COVID-19 pandemic in Ethiopia: Evidence from cascading value chain surveys before and during the pandemic

We combine in-person survey data collected in February 2018 with phone survey data collected in June and September 2021 to study how dairy value chains in Ethiopia have coped with the COVID-19 pandemic. Focusing on the major dairy value chain connecting farmers in North and West Shewa as well as peri-urban and urban producers in and around Addis Ababa to consumers in Addis Ababa, we applied a cascading survey approach in which we collected data at all levels of the value chain: dairy farmers, rural wholesalers, and urban retailers.

Trade, Value Chain Technology and Prices: Evidence from Dairy in East Africa

Agricultural value chains, particularly in the developing world, have been going through drastic changes over the past decades. Differences in world market participation and access to value chain technologies might however have resulted in uneven experiences across countries. In this paper, we explore their impact on prices in the value chain, using the example of two East African countries, Ethiopia and Uganda. We develop a conceptual framework and then validate the model using unique primary price data collected at several levels in the dairy value chains in both countries.

Food prices and marketing margins during the COVID‐19 pandemic: Evidence from vegetable value chains in Ethiopia

It is widely feared that the shock of the COVID‐19 pandemic will lead to a significant worsening of the food security situation in low and middle‐income countries. One reason for this is the disruption of food marketing systems and subsequent changes in farm and consumer prices. Based on primary data in Ethiopia collected just before the start and a few months into the pandemic, we assess changes in farm and consumer prices of four major vegetables and the contribution of different segments of the rural‐urban value chain in urban retail price formation.

Food marketing margins during the COVID-19 pandemic: Evidence from vegetables in Ethiopia
Photo credit: World Bank

It is widely feared that the COVID-19 pandemic will lead to a significant worsening of the food security situation in low and middle-income countries. One reason for this is the disruption of food marketing systems and subsequent changes in farm and consumer prices.

Food safety, modernization, and food prices: Evidence from milk in Ethiopia
Photo credit: FAO

Modern marketing arrangements are increasingly being implemented to assure improved food quality and safety. However, it is not well known how these modern marketing arrangements perform in early stages of roll-out. We study this issue in the case of rural-urban milk value chains in Ethiopia, where modern processing companies – selling branded pasteurized milk – and modern retail have expanded rapidly in recent years.

Impacts of the COVID-19 crisis on vegetable value chains in Ethiopia
The COVID-19 pandemic is beginning to disrupt food value chains in Ethiopia and elsewhere, impacting the livelihoods of farmers and the diets of rural and urban households. These effects are likely to hit the poorest and most vulnerable farmers and consumers the hardest, but they are not yet well understood. More evidence is needed to guide the government and other organizations in devising responses.
COVID-19 is shifting consumption and disrupting dairy value chains in Ethiopia
The COVID-19 pandemic is beginning to disrupt food value chains in Ethiopia and elsewhere, impacting the livelihoods of farmers and the diets of rural and urban households. These effects are likely to hit the poorest and most vulnerable farmers and consumers the hardest, but they are not yet well understood. More evidence is needed to guide the government and other organizations in devising responses.
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By Luciana Delgado and Alan de Brauw published in May 7 2020

This post originally appeared on pim.cgiar.org.

Photo by Devrig Velly EU/ECHO

Introduction

The SDG 12.3 target calls to “halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses” by 2030. It is already 2020, and the rapid spread of COVID-19 has raised – along with concerns about general food shortages - the threat of renewed food loss as the world’s food systems are being affected by quickly changing demand patterns.

To create better strategies to reduce food loss and waste, it is important to first measure them accurately and consistently. Measurement, however, is a tricky business. As discussed in the 2019 Report on the State of Food and Agriculture, assessing food loss and waste is not straightforward. It has been done using various methodologies, making it difficult to even compare measurements. Oftentimes, differences in results stem from how the loss is measured rather than from differences in harvest practices, storage, or other factors.

To help make estimates of food loss along the value chain clearer and more consistent over time, researchers supported by the CGIAR Research Program on Policies, Institutions, and Markets (PIM) developed detailed survey modules that can be applied to different components of the food value chain and adjusted to specific commodities. The methodology not only incorporates components of the Food Loss Index for SDG 12.3.1, i.e. on farm post-harvest, transport, storage and distribution, processing and packaging; but it also includes losses identified at the pre-harvest and harvest level, thus capturing the entire value chain up to the consumer.

PIM methodology

This methodology allows a quantification of the extent of food loss across the value chain using consistent approaches, comparable across commodities and regions. We can characterize the nature of food loss, specifically the production stages and processes at which the loss happens. Furthermore, it is possible to provide estimates of food losses in different ways: subjective estimates (based on self-reported data); quality attributes lost (inferior visual, tactile, and olfactory product characteristics); and reductions in value, or the price received per unit output (based on the reasoning that price differences of a product in the same locations and in the same time period reflect quality differences.

The methodology was piloted in Ecuador, Peru, Honduras, Guatemala, Ethiopia, China, and Malawi in 2016, followed by Ghana, Kenya, Mozambique, and Tanzania in 2019-2020. For each country and crop combination, the specification of the survey was slightly adjusted to make it more relevant to the context. For example, in Guatemala, the instrument, adjusted for beans, included five quality categories (ranging from 1-2% to over 25% of damaged grain) and thirteen quality attributes (dirty/not clean, chopped, size (small), presence of weevils, acid odor, wrinkled grain, swollen from moisture, rotted by moisture, humid, damage by fungus, different colors, broken grain, other odors).

Results and conclusion

Across all value chains for which post-farm measures are available, we estimate food losses at between 6 and 28 percent of total production and total produced value. Loss figures are consistently largest at the producer level, which means that much less value is lost within the value chain between producer and consumer. Loss at the producer level tends to represent between 60 and 80 percent of the total value chain loss, while the average loss at the middleman and processor levels lies between 7 and 19 percent. figures are larger than those recently obtained by Kaminski and Christiansen (2014) and Minten et al. (2016a and b) due to the inclusion of qualitative loss, but generally much smaller than the oft-cited statistic that one-third of food is lost or wasted.

These results suggest that interventions to reduce food loss should concentrate on the farm link of the value chain, or close to it. It is important to target smallholders with techniques that help them grow food with more marketable attributes (to reduce value loss) and improve on- or near-farm storage capabilities. As Brenda Mareri, SNV, noted, “Understanding the extent of food losses at each stage of the value chain, and its causes, helps SNV and the civil society groups we work with better target our advocacy for solutions.”

In the time of crisis such as the world is living through now, it is critical to use available resources as efficiently as possible. Consistently measuring post-harvest loss can help prioritize the right types of interventions to make sure that more nutritious food gets to consumers who need it.

Related publications

Luciana Delgado is research analyst and Alan De Brauw is senior research fellow at the Markets, Trade, and Institutions division of IFPRI. Alan De Brauw co-leads PIM's cluster of research on Interventions to Strengthen Value Chains and leads the cluster on Value Chains Research: Outreach and Scaling within Flagship 3: Inclusive and Efficient Value Chains.

Cities, value chains, and dairy production in Ethiopia

This paper explores the spatial heterogeneity in dairy production in the highland production area around the capital of Ethiopia, Addis Ababa. We look at how urban proximity – defined as the travel time from the farm to the central market of Addis Ababa – affects the production decisions of Ethiopian dairy farmers. We sampled 870 households from the major rural production zones around Addis Ababa, where villages were stratified according to their distance to Addis Ababa.

Offering Rainfall Insurance to Informal Insurance Groups: Evidence from a Field Experiment in Ethiopia

We show theoretically that the presence of basis risk in index insurance makes it a complement to informal risk sharing, implying that index insurance crowds-in risk sharing and leading to a prediction that demand will be higher among groups of individuals that can share risk. We report results from rural Ethiopia from a first attempt to market weather insurance products to existing informal risk-sharing groups. The groups were offered training on risk management and the possible benefits of holding insurance.

Adoption of Weather-Index Insurance: Learning from Willingness to Pay Among a Panel of Households in Rural Ethiopia

In this paper we examine which farmers would be early entrants into weather index insurance markets in Ethiopia, were such markets to develop on a large scale. We do this by examining the determinants of willingness to pay for weather insurance among 1,400 Ethiopian households that have been tracked for 15 years as part of the Ethiopia Rural Household Survey. This provides both historical and current information with which to assess the determinants of demand. We find that educated, rich, and proactive individuals were more likely to purchase insurance.

An Experiment on the Impact of Weather Shocks and Insurance on Risky Investment

We conduct a framed field experiment in rural Ethiopia to test the seminal hypothesis that insurance provision induces farmers to take greater, yet profitable, risks. Farmers participated in a game protocol in which they were asked to make a simple decision: whether to purchase fertilizer, and if so, how many bags. The return to fertilizer was dependent on a stochastic weather draw made in each round of the game protocol. In later rounds of the game protocol, a random selection of farmers made this decision in the presence of a stylized weather-index insurance contract.

Flexible Insurance for Heterogeneous Farmers: Results from a Small Scale Pilot in Ethiopia

We analyze the effectiveness of a new approach in providing weather index-based insurance products to low-income populations. The approach is based on the concept of providing multiple weather securities that pay a fixed amount if the event written on the security (that monthly rainfall at a nearby weather station falls below a stated cutoff) comes true. A theoretical model is developed to outline the conditions in which weather securities could outperform crop-specific weather index-based insurance policies.

The wheat supply chain in Ethiopia: Patterns, trends, and policy options

Wheat is one of the four most important food grains in Ethiopia. As a source of calories in the diet, wheat is second to maize.  In terms of the area of production, wheat is fourth, after teff, maize, and sorghum.  In terms of the value of production, it is 4th or 5th, after teff, enset, and maize, and approximately tied with sorghum. 

Wheat production has expanded rapidly in the past decade.  According to the CSA, wheat production has grown at 7.5% per year since 1995-96 and at 9.3% over the past decade.

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