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AGRICULTURAL VALUe ChAIn FInAnCInG In KenYA

AGRICULTURAL VALUe ChAIn FInAnCInG In KenYA

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6 • <strong>AGRICULTURAL</strong> VALUE CHAIN FINANCING IN KENYA: ASSESSMENT OF POTENTIAL OPPORTUNITIES FOR GROWTH<br />

Chapter 3<br />

BEEF VALUE CHAIN<br />

3.1 BaCKGROUND<br />

The beef value chain is poorly commercialised overall. The majority of the<br />

production comes from pastoralist sales and culling of dairy herds. Simply<br />

collecting data from the literature sources for this value chain was difficult given<br />

that poor performance correlates to poor organization and documentation of<br />

the industry.<br />

The beef value chain is significant in that it covers a wide geography including<br />

arid and food insecure regions. 363,563 MT of beef was marketed in 2008<br />

with a value of USD 650M. This equated to 2% of Kenya’s GDP for the period<br />

under consideration. This notwithstanding, the growth in beef marketing is<br />

I<br />

Functioning supply<br />

and demand<br />

relationships<br />

Table 3: Key areas of interest and respective weighting – beef value chain<br />

Weight Explanation Score<br />

34%<br />

a <strong>In</strong>puts 2%<br />

b<br />

Commercialised<br />

production<br />

10%<br />

c Marketing competition 10%<br />

d Number of wholesalers 2%<br />

e<br />

Diversification of value<br />

addition<br />

10%<br />

II Economic relevance 10%<br />

a<br />

Producers versus<br />

population<br />

1%<br />

1.<br />

2.<br />

3.<br />

1.<br />

2.<br />

3.<br />

4.<br />

Evidence that input supply is competitive = 2%<br />

No evidence than input supply is constrained = 1%<br />

Evidence that input supply is constrained = 0%<br />

Evidence of high-input commercial yields and contract farming = 10%<br />

Evidence of high-input commercial yields only = 5%<br />

Evidence of contract farming only = 5%<br />

Evidence of neither = 0%<br />

For each value chain divide the farm-gate price over prevailing terminal market price or export<br />

price. Allocate percent scores from 10% to 0% on the basis of this ratio with 10 % going to<br />

the highest value and 0% going to the lowest value with results in between rounded to the<br />

nearest whole number (1%, 2%, 3%…).<br />

1.<br />

2.<br />

3.<br />

1.<br />

2.<br />

3.<br />

relatively slow (3% annually) and the development of the chain is significantly<br />

hampered by factors including: a ban on Kenyan beef products by the EU and<br />

neighbouring countries, extreme deterioration of marketing infrastructure,<br />

drought and monopsonistic behaviour on the part of buyers taking advantage<br />

of pastoralists during drought periods.<br />

Policymakers prioritise livestock husbandry for food security and achievement<br />

of the millennium development goals. Nonetheless cattle keepers are<br />

reluctant to slaughter or eat beef for cultural reasons and commercial cattle<br />

keepers are not food insecure.<br />

Evidence that wholesale marketing is competitive = 2%<br />

No evidence that wholesale marketing is competitive = 1%<br />

Evidence that wholesale marketing is not competitive = 0%<br />

Evidence of many and diverse value adding processes = 10%<br />

No evidence of many and diverse value adding processes = 5%<br />

Evidence of no meaningful value addition = 0%<br />

For each value chain, divide the number of producers over Kenya’s population (39,000,000).<br />

Allocate percent scores from 1% to 0% on the basis of this ratio with 1% going to the highest<br />

value and 0% going to the lowest value. Round to 1% or 0% to produce score.<br />

2%<br />

0%<br />

5%<br />

1%<br />

5%<br />

1%

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