52
Emergency-affected situation
How has the emergency affected the functioning of the market?
13.
What impacts / changes have there been to your ability to stay in business and employ staff?
14.
Have any particular market actors or functions in the value chain been especially affected?
15.
How has the emergency affected important services or public infrastructure mentioned above?
16.
How much more costly is it to do business as a result of the emergency? Which business costs have increased (fuel, storage, goods,
labour, etc.) and by how much?
How are you dealing with the emergency?
17.
How have you adapted your operations to overcome challenges caused the emergency?
18.
How have other actors in the market chain adapted? (e.g. input suppliers, transporters, producers)
How has the emergency affected competition?
19.
Has the emergency changed competition within your sector? (e.g. have some been more severely affected by the disaster than your
company?)
20.
Do you think you or your competitors have enough leverage to restrict supply and drive up prices now?
How is the market performing now?
21.
Have your sales increased or decreased? If so, why?
22.
Have prices for this product / service increased, decreased, or stayed the same, compared with the normal trends for this time of
year? Specify by how much.
23.
Are certain groups of consumers now effectively unable to purchase these goods / services because of high prices or lack of access
to suppliers?
What if the purchasing power of your buyers was restored and you could continue to employ people?
24.
If greater demand for your goods / services in the emergency zone could be guaranteed, to what extent would you be able to
increase your supplies / business volumes in the affected area?
25.
Are your employees still available, and are raw materials accessible now?
26.
Which factors would be most likely to limit your capacity to increase volumes of business?
Box 4.2 (EMMATKp85) ‘Operational’ questions about cash feasibility
Needs and preferences
To what extent did women and men depend on cash before the shock?
What strategies are households using to cope with food or income insecurity?
Do emergency-affected populations have a preference for cash or in-kind approaches?
Social relations (power differences within households and the community)
Do men and women have different priorities?
How is control over resources managed within households?
What are the differences within the community in terms of control over resources?
What impact will cash distributions have on existing social and political divisions?
Policy
What is government policy regarding use of cash-based interventions?
Security and delivery mechanisms
What are the options for delivering cash to people?
Are banking systems or informal financial transfer mechanisms functioning?
What are the risks of cash benefits being taxed or seized by elites or warring parties?
How do these risks compare with the risks posed by in-kind alternatives to cash?
53
Corruption
What are the risks of cash being diverted by local elites or project staff?
How do these compare with the risks of providing in-kind alternatives?
What accountability safeguards are available to minimize these risks?
Intervention history
Have any cash-based interventions been implemented previously in the area?
What was the outcome? Where there any particular problems? Or positive recommendations from the experience?
Source: Creti and Jaspars, 2006
Box 6.8 (EMMATKp125) Showing data about production and trade volumes on market maps
54
Section: Step 7 and 8
Summary of gap analysis from Liberia Imported Rice Market System, (Oxfam GB 2011)
(Alternatively see Box 7.3 (EMMATKp130))
Box 8.13 (EMMATKp149) Using data to diagnose supply-and-demand problems
Prices rising or much
higher than baseline
Prices stable and similar to baseline
Prices falling or much lower than
baseline
Volumes
higher
than
baseline
Demand is very strong.
Supply response is good.
Indicates market system is performing
well. However, high prices suggest that
suppliers are still unable to satisfy surge
in demand, or there are bottlenecks
that raise costs for traders.
Demand is strong.
Supply response is good.
Indicates market system is performing
well, compared with baseline: meeting
increased needs, without creating price
distortions.
Demand is normal.
Supply is excessive.
Indicates system is being saturated by
over-supply. This is most likely where
desperation forces people to sell
labour, livestock, or assets on poor
terms.
Volumes
similar
to
baseline
Demand is strong.
Supply response is constrained.
Indicates trade levels are normal, but
insufficient to satisfy increased
demand. Alternatively, bottlenecks are
raising costs for traders.
Demand is normal.
Supply is normal.
Indicates that market system is little
affected, compared with the baseline
situation.
Demand is relatively weak.
Supply is normal.
Indicates (income) market system is
being saturated due to weak demand.
Volumes
lower
than
baseline
Demand normal (or strong).
Supply response weak.
Indicates supply constraints are very
severe. Despite high prices, supply is
insufficient to satisfy either normal or
increased demand.
Demand is weak.
Supply response is uncertain.
Indicates that demand is constrained:
buyers probably lack spending capacity.
Demand very weak.
Supply response is uncertain.
Indicates that demand is highly
constrained: buyers lack spending
capacity.
55
Supply and demand decision tree (Jaspars and Creti, Oxfam GB 2006 “Cash Transfer Programming in
Emergencies)
56
Table: Characteristics and Indicators (E. Henderson, Oxfam GB 2011 EMMA and Cash training Naivasha, Kenya)
Characteristics
Indicators
What does it tell us in terms of market dynamics?
Supply
Volumes traded / produced per unit of time
Stocks
Lead time
Number of actors
Can supply respond to demand?
Demand
Volumes procured per unit of time
Number of consumers
Purchasing power
Relation between
supply and demand
Prices
volumes
Is production or trade change due to supply or demand
side problems?
Where are the bottlenecks?
If demand is supported will market be able to respond?
Or would it need support?
Market integration
or segmentation
Relationship between prices over time for a
same good / service in different areas
Restrictions to market (physical access,
transport costs…)
How can supply respond timely to demand?
If there was a change in demand, how long would it take
for the market to respond?
Market power
Number of actors
Volume traded per actor
Margins (per trader category)
Who sets the prices?
If demand is supported, will it be able to choose
between alternative market actors?
If market is supported, will market actors be able to
choose between different suppliers?.
Or will they depend on the conditions of a limited
number of suppliers?
Environment
Investment capacity
Access to credit (formal / informal)
Storage capacity
Transport capacity
Regulations (market restrictions – prices fixed)
Taxes – import tariffs….
Insurances
Which environmental factors will favour the market and
which ones would limit it?
Which factors would enable increase of market
capacity?
Which factors to support in order to favour market
capacity?
Needs analysis of target populations for water, Ethiopia (Oxfam GB 2012)
57
Box 8.15 (EMMATKp153) Comparing ‘gaps’ with baseline volumes
Volumes of production and trade
Local
affected area
Provincial
market
National
market
Emergency-affected situation (A)
50
1,100
5,000
Emergency gap identified (B)
350
350
350
Required response, A + B = (C)
400
1,450
5,350
Baseline activity (D)
200
1,200
5,000
Required increase over baseline
= (C / D - 1) x 100 %
+ 100 %
+ 25 %
+ 8 %
Analysis of data in Box 8.15
The emergency response required to meet the gap (400 MT per month) is double the estimate of baseline
production and trade in the affected area. The same gap is less challenging when put in the context of provincial
markets (a 25% increase) and national markets (+ 8%).
Box 0.1 (EMMATKp162) Different response options – example
[C]Firewood needs in an IDP camp
Households in a rapidly expanding IDP camp are suffering acute shortage of fuel for cooking. Humanitarian concerns include
local environmental degradation, risks to children and women scavenging firewood, and the potential for conflict with the host
community. Depending on its assessment of the local firewood market system’s capacity to respond to the IDP’s needs, an
EMMA study might identify the following response options.
[C]If the market system is expected to perform well (A)
Include a cash allocation for firewood in regular transfers to women householders.
Create a voucher system to enable IDPs to purchase firewood at subsidized prices.
[C]If the market system needs to be strengthened or supported (B)
Negotiate official access to forestry reserves for authorized firewood traders.
Guarantee loans and vehicle leases to enable more traders to enter the market quickly.
[C]If the market system is not going to be capable of performing well (C)
Distribute fuel-
efficient stoves, to reduce households’ firewood needs.
Procure and distribute firewood rations to households in the camp.
[C]If further investigation and analysis are needed (D)
Continue to monitor prices of firewood inside the camp a
nd in neighbouring towns, to confirm that EMMA’s assessment
of market-system capacity is accurate.
Investigate the local market system for alternative cooking fuels (e.g. gas canisters).
58
Section: Step 9
Box 9.3 (EMMATKp164) Response-analysis logic in a supply system
Response-options framework. Iron sheet market, Sudan (MercyCorps 2011)
59
Box 9.15 (EMMATKp180) Response-options framework
Option
Advantages
Disadvantages
Feasibility and timing
Relief distribution of spare
supplies from Forest Dept.
Immediate impact. Would
utilize existing / useless
stocks; for the short term, will
slow deforestation; simple
distribution programme.
Requires warehouses,
distribution staff. Limits
integration with markets in
town and camp. Wood may
be sold on, not used.
Low!
Expect lack of
co-operation.
2–3 weeks to begin
Distribution involving camp-
based retailers and vouchers
Inject cash into camp
economy. Thus lots of
secondary beneficiaries;
would create more local
vendors
Very few camp retailers with
any capacity; no storage or
infrastructure inside camps.
Open to fraud. Start-up slow –
with procurement and
beneficiary-identification
process
Medium.
2 months to implement
Refilling of gas canisters;
conditional on school
attendance
Less firewood usage; time-
saving. Incentives for sending
children to school. Reduces
protection issues. Clear exit
strategy: reduce distributions
Gas is twice the price of
firewood; risky to use inside
tents; IDPs cannot afford
refilling on their own. May
increase dependency on aid;
makes school attendance
linked to reward, instead of
intrinsic worth; not
sustainable
High.
Can be started soon
Cash distribution to all IDP
women household heads
Inject money into the camp
economy; positive effect on
HH economies, but no effect
on firewood market; gives
women choices
Potential for inflation;
corruption; no exit strategy;
no way to ensure that cash is
used for firewood; women
might continue to send
children to collect firewood
instead of buying it
Low.
Quick response
60
Response recommendations framework. Wheat market, Pakistan (ACF, ACTED, Oxfam, Save, IRC, CARE, 2010)
Box 9.16 (EMMATKp181) Response-recommendations framework
Response activities or
combinations
Key risks and
assumptions
Timing
issues
Likely effect on market system and
target groups
Indicators
Fuel-efficient stoves and
cooking techniques
Stove distribution
Cooking techniques
Sensitization on fuel
efficiency, de-
forestation, child-
protection issues
Access to camps.
People are willing
to learn and use
stoves.
We can find
training staff
1–2 months
to make an
impact
Decrease household firewood expenses.
Increase fuel efficiency at household level.
Small – but important – positive effect
on environment.
Improved protection (fewer children
collecting wood)
# of stoves
distributed and
used by IDPs.
Comparison of
wood-fuel
consumption, old
vs new
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