2. Why do we analyze data and trends?
World Bank methodology applied around the
world
Provides an overview of what major risks are
(production, marketing, enabling environment)
Gives an understanding of how frequent the
risks are
Shows the scope of the major risks
Shows resources allocated to risk management
Sector-Wide Agricultural Risk Assessments
3. Why do we analyze data and trends?
- Risks differ from constraints and trends!
- To capture systemic risks to the whole sector, we look
at:
– Production Risks
– Market Risk
– Enabling environment risks
- We look at biggest commodities that together account
for 80% of GAO and assess risks over the past 30 years
Risk Assessment Approach
5. Systemic Risks to Malawi’s Agricultural Sector
• Droughts (all major crops, in particular maize,
cassava, potato, and tobacco)
• Pests and Diseases
• Price Volatilities (maize, tobacco, cotton)
• Government Interventions (maize)
6. Cassava Maize
Potatoes
Tobacco,
Sugar Cane
Groundnuts
Beans
Pigeon Peas
Bananas
Rice
Tea
Cotton
(200.00)
-
200.00
400.00
600.00
800.00
1,000.00
1,200.00
1,400.00
1,600.00
0.00 0.10 0.20 0.30 0.40 0.50 0.60
LossesperCrop(millionUSD)
Frequency of Losses
Production losses in Malawi add up to US$150 million /year over the past 30 years
*) I should be noted that the production data upon which these estimates are based (yield and area data) is
debated in Malawi and that cassava losses therefore may be over estimated.
Production Losses to the Sector
11. Solutions Areas Agreed with the Ministry
1. On-farm risk mitigating technologies and practices:
What are the obstacles to uptake?
2. Mechanisms for Food Security Interventions: How can
coordination and decision-making be improved?
3. MoAIWD capacity to effectively respond to
agricultural risks: How can policy formulation and
analysis be strengthened?
13. Root Causes Behind Poor Uptake
Government coordination of donors/NGOs and
coordination between donors/NGOs & government
Project design
Gender
Extension
Seed System
Limited Access to Finance
Limited Access to Markets
Stronger leadership by the Ministry is needed in the
sector for individual interventions to be sustained and
for investments to take off
14. Incentives for Investments?
• Farm budgets from 2008 and 2014: maize, groundnuts,
beans
• Nominal prices increased for all three crops in this period
• BUT maize prices did not keep up with prices for inputs in
this period => gross income declined in this period.
Note: Incomes are based on production with improved inputs;
the ranges in gross income reflect different practices and labor
inputs, including for CA
16. Main Findings
Export ban affects farm-gate prices but retail prices tend to follow
regional prices later in the season when consumer demand
increases – this also during good harvest years
High intra-annual and monthly price volatility in Malawi
compared to other countries in the region
The coefficient of variation (CV) 2007-2014 of average monthly
prices:
Malawi: 62%
Sub-Saharan Africa: 36%
Zambia: 24%
Limited price differences between surplus areas and deficit areas
17. What Distort Prices?
• Interventions are not guided by rules or
triggers (e.g. procurement, ADMARC’s
interventions)
• Timing of procurement leads to distortions
and are more costly than necessary
• No transparency in the system – costs are not
clear, interventions and prices are not
systematically reported
• Impacts (positive or negative) of interventions
are not evaluated
18. What Are the Costs to the Sector?
Results of the Policy Analysis Matrix (PAM)
20. Important Gaps
• Information systems are inadequate for effective
policy making and M&E – difficult to assess exactly
what is needed and what are the results of
interventions
• Result in misaligned and sometimes contradictory
policies (e.g. for productivity and food security)
• Communication is poor between and within of
institutions
• Actors are poorly coordinated in the sector and
interventions are often not aligned
23. Institutions, institutions, institutions…
Strengthen policy capacity in ministry by
Better information systems (e.g. AMIS, registers, production data, agriculture health
data, subscribe to regional data; define farm HH)
Better communication back from the field
Systematic M&E of policy
Food Security Agencies for non-distortive support in times of need
Rule-based management and interventions, e.g. by triggers
Align procurement with the agriculture year and make it predictable
Move towards a combination of virtual (call options, etc.)-physical SGR
Remove trade bans
Revised and strengthened roles of ADMARC and DODMA
Coordination of activities
Develop system for coordinating agriculture activities between actors
(or build on data-base in MoF)
Develop GAP Manual to standardize ag. principals for Malawi
Strengthen communication between Public Agencies
24. All Under One Umbrella
Food Security:
Availability
and Access
Productivity and
Resilience
Emergency
Preparedness
Good risk management is often win-win => strengthened
productivity and competitiveness