Markets and poverty in northern Kenya: Towards a ... - FSD Kenya
Markets and poverty in northern Kenya: Towards a ... - FSD Kenya
Markets and poverty in northern Kenya: Towards a ... - FSD Kenya
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16 • MARKETS AND POVERTY IN NORTHERN KENYA: TOWARDS A FINANCIAL GRADUATION MODEL<br />
The volatility represented <strong>in</strong> the figures above suggests that market<br />
engagement can be risky when dysfunctional, particularly for the very poor.<br />
As buyers, rely<strong>in</strong>g on the market for key staples exposes the household to<br />
potential price spikes that far exceed those <strong>in</strong> southern <strong>Kenya</strong>. As sellers, the<br />
variations <strong>in</strong> sell<strong>in</strong>g price also <strong>in</strong>crease the risk for value cha<strong>in</strong> engagement.<br />
In such a context, encourag<strong>in</strong>g households to engage to a greater extent with<br />
the market can <strong>in</strong>crease their risk to an unacceptable level, particularly for very<br />
poor households with fewer risk mitigation <strong>and</strong> risk management options.<br />
<strong>FSD</strong>’s f<strong>in</strong>ancial graduation model will therefore need to consider carefully<br />
how to address <strong>and</strong> mitigate these market risks before or <strong>in</strong> conjunction with<br />
<strong>in</strong>vestments that encourage market participation by the very poor. It should<br />
th<strong>in</strong>k not only about opportunities to <strong>in</strong>crease <strong>in</strong>comes but also to lower prices<br />
of staple foods that are consumed by the very poor (e.g. maize). The benefits<br />
of lower<strong>in</strong>g staple food prices can be even greater than <strong>in</strong>creas<strong>in</strong>g <strong>in</strong>come<br />
generat<strong>in</strong>g opportunities for very poor households. Food expenses represent<br />
a significant part of their total expenses <strong>and</strong> tend to occur dur<strong>in</strong>g the most<br />
vulnerable period of the year: the lean season. Moreover, if food prices are<br />
lowered, very poor households will avoid the risks associated with <strong>in</strong>vest<strong>in</strong>g <strong>in</strong><br />
<strong>in</strong>come generat<strong>in</strong>g activities.<br />
The characteristics of <strong>northern</strong> <strong>Kenya</strong>n markets outl<strong>in</strong>ed here mean that donorfunded<br />
<strong>in</strong>terventions will yield fewer results than <strong>in</strong> higher potential areas.<br />
They will also require a longer period of time to overcome the greater number<br />
of b<strong>in</strong>d<strong>in</strong>g constra<strong>in</strong>ts to growth (Practical Action, <strong>in</strong>terview 27.01.12). The<br />
opportunities be<strong>in</strong>g generated from <strong>Kenya</strong>’s economic growth are not spread<br />
evenly across the country. For many <strong>northern</strong> <strong>Kenya</strong>ns, the best way to access<br />
those opportunities will be through migration to more dynamic areas <strong>in</strong><br />
southern <strong>Kenya</strong>. Support<strong>in</strong>g <strong>northern</strong> <strong>Kenya</strong>ns to access those opportunities<br />
through migration, though not a focus of this report, is nevertheless a sound<br />
strategy (World Bank, 2009: 230).<br />
Opportunities vary with<strong>in</strong> <strong>northern</strong> <strong>Kenya</strong> <strong>and</strong> with<strong>in</strong> <strong>northern</strong> <strong>Kenya</strong>’s<br />
districts: the livelihood <strong>and</strong> market contexts across the region are not<br />
homogenous. <strong>FSD</strong>’s <strong>in</strong>terventions will therefore need to vary accord<strong>in</strong>g to the<br />
different characteristics of each district <strong>and</strong> regions with<strong>in</strong> districts. Spatially,<br />
markets are diverse <strong>in</strong> the north <strong>and</strong> <strong>in</strong>clude remote trad<strong>in</strong>g posts around<br />
food distribution centres <strong>and</strong> satellite camps, settlements along roads <strong>and</strong><br />
grow<strong>in</strong>g peri-urban settlements. <strong>FSD</strong>’s market development <strong>in</strong>terventions<br />
will thus need to be tailored to all these different market contexts. In Turkana<br />
district for example, where there are few population agglomerations or service<br />
centres, develop<strong>in</strong>g market hubs would provide important opportunities to<br />
semi-settled pastoralists resid<strong>in</strong>g <strong>in</strong> satellite camps. In areas of Wajir district<br />
which are much better <strong>in</strong>tegrated <strong>in</strong>to the economy, <strong>in</strong>terventions target<strong>in</strong>g<br />
the ability of the peri-urban population to access petty trad<strong>in</strong>g activities would<br />
be more appropriate. <strong>FSD</strong> will also need to consider variations <strong>in</strong> livelihood<br />
strategies <strong>and</strong> market fluctuations accord<strong>in</strong>g to season.<br />
In spite of <strong>in</strong>creas<strong>in</strong>g diversification, the region’s economy rema<strong>in</strong>s dom<strong>in</strong>ated<br />
by livestock. Many - though not all - of these new opportunities are urbanbased<br />
<strong>and</strong> st<strong>and</strong> to benefit those liv<strong>in</strong>g with<strong>in</strong> approximately 40 kilometres of<br />
an urban area (Watson <strong>and</strong> van B<strong>in</strong>sbergen, 2008: 3). This section provides<br />
a broad overview of the key market opportunities <strong>in</strong> <strong>northern</strong> <strong>Kenya</strong> us<strong>in</strong>g<br />
the value cha<strong>in</strong> approach as an analytical framework. The value cha<strong>in</strong><br />
approach sees economic activities occurr<strong>in</strong>g with<strong>in</strong> a series of transactions<br />
that ultimately br<strong>in</strong>g a raw product to f<strong>in</strong>al consumption. Every value cha<strong>in</strong><br />
is part of a broader market system that <strong>in</strong>cludes the enabl<strong>in</strong>g environment<br />
(e.g. social norms, formal <strong>and</strong> <strong>in</strong>formal rules), relationships <strong>and</strong> related power<br />
dynamics <strong>and</strong> support services used by those with<strong>in</strong> the value cha<strong>in</strong>. 18 This<br />
market systems perspective assists <strong>in</strong> identify<strong>in</strong>g constra<strong>in</strong>ts that limit returns<br />
<strong>and</strong> suggests areas of potential <strong>in</strong>tervention. This section looks not only at the<br />
economic activities of households <strong>and</strong> communities, but also at the broader<br />
value cha<strong>in</strong> for many of the pr<strong>in</strong>ciple economic activities practiced <strong>in</strong> the north.<br />
Follow<strong>in</strong>g analysis of significant value cha<strong>in</strong>s <strong>in</strong> <strong>northern</strong> <strong>Kenya</strong>, we look at<br />
some important <strong>in</strong>tervention strategies that could be employed to improve<br />
returns for poor households <strong>and</strong> communities. These strategies range from<br />
more meso-level <strong>in</strong>terventions, the objectives of which are to improve market<br />
function<strong>in</strong>g more broadly across wealth brackets, as well as <strong>in</strong>terventions that<br />
specifically target very poor communities.<br />
3.2 ANALYSIS OF SIGNIFICANT VALUE CHAINS IN NORTHERN<br />
KENYA<br />
Identify<strong>in</strong>g economic opportunities that are relevant to the very poor is critical<br />
to the design of effective f<strong>in</strong>ancial graduation models. As described above,<br />
this report analyses these opportunities through the lens of the value cha<strong>in</strong><br />
approach. The value cha<strong>in</strong> approach <strong>in</strong>terprets economic activities (e.g.<br />
fish<strong>in</strong>g, provid<strong>in</strong>g animal vacc<strong>in</strong>ations) as part of a broader market system.<br />
This approach offers a framework for analys<strong>in</strong>g <strong>and</strong> compar<strong>in</strong>g the potential of<br />
diverse economic sectors. This allows the identification <strong>and</strong> selection of those<br />
value cha<strong>in</strong>s with the greatest potential to benefit the very poor <strong>in</strong> <strong>northern</strong><br />
<strong>Kenya</strong>. Draw<strong>in</strong>g from available secondary <strong>in</strong>formation 19 , the authors assessed<br />
each value cha<strong>in</strong> <strong>in</strong> terms of four dist<strong>in</strong>ct factors:<br />
Market opportunities: market opportunities vary dramatically among<br />
the value cha<strong>in</strong>s under consideration. Those with grow<strong>in</strong>g market<br />
opportunities <strong>and</strong> <strong>in</strong> which <strong>northern</strong> <strong>Kenya</strong>n producers are or could<br />
be competitive can generate greater <strong>in</strong>come ga<strong>in</strong>s <strong>and</strong> opportunities<br />
for exp<strong>and</strong>ed participation relative to value cha<strong>in</strong>s with stagnant or<br />
shr<strong>in</strong>k<strong>in</strong>g markets.<br />
18 For further <strong>in</strong>formation on the value cha<strong>in</strong> approach, see ‘Value Cha<strong>in</strong> Development Wiki’, USAID<br />
website (http://microl<strong>in</strong>ks.kdid.org/good-practice-center/value-cha<strong>in</strong>-wiki)<br />
19 It is important to note that the authors did not conduct primary research <strong>and</strong> thus the <strong>in</strong>formation<br />
provided here is reliant upon the accuracy of the cited sources. Information gaps that the authors could<br />
not address are noted.