| Literature DB >> 32837652 |
T S Amjath-Babu1, Timothy J Krupnik1, Shakuntala H Thilsted2, Andrew J McDonald3.
Abstract
In the context of developing countries, early evidence suggests that the impacts of the COVID-19 pandemic on food production systems is complex, heterogenous, and dynamic. As such, robust monitoring of the impact of the health crisis and containment measures across agricultural value chains will likely prove vitally important. With Bangladesh as a case study, we discuss the building blocks of a comprehensive monitoring system for prioritizing and designing interventions that respond to food system disruptions from COVID-19 and preemptively avoid further cascading negative effects. We also highlight the need for parallel research that identifies pathways for enhancing information flow, analysis, and action to improve the efficiency and reliability of input and output value chains. In aggregate, this preliminary work highlights the building blocks of resilient food systems to external shocks such as COVID-19 pandemic in the context of developing nations. In doing so, we call attention to the importance of 'infection safe' agricultural input and output distribution logistics, extended social safety nets, adequate credit facilities, and innovative labor management tools alongside, appropriate farm mechanization. In addition, digital extension services, circular nutrient flows, enhanced storage facilities, as well as innovative and robust marketing mechanisms are required. These should be considered in parallel with effective international trade management policies and institutions as crucial supportive measures.Entities:
Keywords: COVID-19; Food system disruption; Monitoring; Resilience; South Asia
Year: 2020 PMID: 32837652 PMCID: PMC7360530 DOI: 10.1007/s12571-020-01083-2
Source DB: PubMed Journal: Food Secur ISSN: 1876-4517 Impact factor: 3.304
Fig. 1Flow chart depicting potential COVID-19 impact pathways that may affect food production systems in South Asia. (Note: thickness of arrows shows strong relation as assessed by experts)
Monitoring indicators for food production systems performance disruption
| Productivity factors | Data types and sources | |
|---|---|---|
| Internal farm factors | Labor | • Spatially-explicit family labor opportunity costs and hired labor costs. Studies of hired labor availability and scarcity. |
| Resource supply and management factors | • Spatially-explicit farmer-survey based diagnostic studies of farmers’ ability to supplement external inputs of nutrients with regenerative agricultural techniques, (e.g., productive options for low-external input agriculture, with coupling to pest management techniques) • Comprehensive studies of access to water and irrigation resources at the farm level • Inventories of farm machinery and equipment • Inventories of animal, fish, and poultry stock and productivity levels | |
| Internal or external | Seed | • Seed replacement rates and seed availability studies for key varieties at the farmer level • Seed stock reserves available with public and private agencies and seed demand forecasts. Seed production information from key hybrid seed suppliers |
| External inputs | Fertilizers | • Current fertilizer stock and price information, and sufficiency assessment at the manufacturer, distributor, retailer levels, coupled with production forecasts at the manufacturer level • Fertilizer import data and fertilizer demand estimates • Global fertilizer production and shipment data from international agencies, e.g., from the International Fertilizer Association |
| Pest control products | • Availability and prices of key pesticides, veterinary and aquacultural medicines sourced from surveys at the farmer, input retailer, manufacturer, and import-broker levels • Import country mapping of the supply chain for widely used products to facilitate an understanding of possible disruptions (if countries are dependent on imports for particular products) • Feasibility studies for alternative products (e.g., locally available biopesticides or biocontrol agents if pest threats are severe and availability of the chemicals are limited) | |
| Livestock and aquaculture | • Studies at the input dealer and industry level on the availability and costs of animal feed, fingerlings, brood stock, chicks, calves and heifers • Information on production figures from hatcheries compared to normal volumes | |
| Agricultural services | Farm machinery | • Readiness of machinery factories in shipping new and anticipated orders for machines and parts • Cost and service type data from agricultural machinery service providers, dealers, manufacturers, and importers indicating the availability and prices for four-wheel and two-wheel tractors, transplanters, seed drills, irrigation pumps, harvesters and reapers, and post-harvest equipment • Diagnostic surveys providing time-series data on the prevailing cost and payment modality for services from these machineries to farmer-clients • In the case of irrigation and harvesting services, remotely sensed data on areas with localized water deficits and area of mature and harvested crop fields (to target services delivery) |
| Extension | • Comprehensive databases of governmental, NGO and private sector extension agents with contact information including telephone number, email, social media identification • Inventory of extension agent specializations | |
| Logistics | • Panel data on cost and vehicle availably data from courier services, trucking and shipping companies • Agricultural goods and equipment import and export records, including the rate at which imports clear for distribution after arrival in ports | |
| Credit and capital | • Credit disbursal data from commercial and agricultural banks, micro finance institutions, and informal banking sources • Farm level data related to cash liquidity and credit availability for purchasing inputs | |
| Processing and marketing | Processing and mills | • Time series data on the volume, costs of processing, and sales of processed goods • Studies to assess the degree to which imports of processed goods and feed can be substituted • Data on milk purchases by processing companies and prices |
| Output market | • Data from wholesale traders and middlemen, data from feed and grain mills • Monthly international price data published by USDA and/or FAO, in addition to other sources • Consumer level price data on cereals, vegetables, milk, meat, fish and poultry | |