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Role of Innovation System in Coffee Agroforestry System to Adapt to Climate Change in Kenyan Coffee and Dairy Sectors Presenter: Kinfe ASAYEHEGN Co-authors: Ludovic TEMPLE, Cirad UMR Innovation Ana IGLESIAS, 1
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Page 1: Role of Innovation System in Coffee Agroforestry System to ... · in the Kenyan coffee based agroforestry system, i.e. the coffee and dairy sectors, which differ in terms of stakeholders

Role of Innovation System in Coffee Agroforestry

System to Adapt to Climate Change in Kenyan Coffee

and Dairy Sectors

Presenter:

Kinfe ASAYEHEGN

Co-authors: Ludovic TEMPLE, Cirad UMR Innovation

Ana IGLESIAS,

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Acknowledgements

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Presentation PlanIntroduction

Area of the Study

Data and Methods

Results and Discussion

Conclusions

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Why to adapt to climate change

The IPCC biophysical and socio-ecological working groups

and other researchers confirmed that climate change is a

reality.

An increase in global food demand: demand for cereals, is

expected to increase by 70% (Smith et al., 2006) and

livestock products by 50% in the next half

century(Thornton, 2010).

Agriculture is among the sectors highly affected by CC

(Bryan et al., 2013; Lobell et al., 2008).

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Page 5: Role of Innovation System in Coffee Agroforestry System to ... · in the Kenyan coffee based agroforestry system, i.e. the coffee and dairy sectors, which differ in terms of stakeholders

Climate change impacts in agriculture ( IPCC, 2013)

2010-2029 2030-2049 2050-2069 2070-2089

20

40

60

80

100

PERCEN

TAG

E O

FYIE

LD

PRO

JECTIO

NS

02090-2109

0 – -5%

-5 – -10%

-10 – -25%

-25 – -50%

-50 – -100%

50 – 100%

25 – 50%

10 – 25%

5 – 10%

0 – 5%

Range of Yield Change

Increasein Yield

Decreasein Yield

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Why Innovation in coffee agroforestry?

An adjustment to the actual or expected changes in the agricultural sector using different innovative adaptation strategies has to be among priorities in policy decisions.

Adaptation- process of adjustment to actual or expected climate effects, seeks to moderate harm or exploit beneficial opportunities” (IPCC 2014)

Different agents (producers, institutions, food industries) and

scales (from individual to global scale) (Wreford et al. 2010)

Reducing the sensitivity of the affected system

Altering the exposure of a system to the impact

Increasing the resilience and building capacity of socio-ecological systems ( Adger, 2006; Gallopin, 2006) .

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This presentation therefore focuses on two case studies

in the Kenyan coffee based agroforestry system, i.e. the

coffee and dairy sectors, which differ in terms of

stakeholders and institutional setups.

1) what characteristics of the innovation systems are particular to each sector

in the adaptation process to climate change?

2) How these characteristics of the innovation affect the adaptation process

and competitiveness of the sectors?

Page 8: Role of Innovation System in Coffee Agroforestry System to ... · in the Kenyan coffee based agroforestry system, i.e. the coffee and dairy sectors, which differ in terms of stakeholders

Data collection Survey data

Face-to-face FGDs 9 FGDs

Household interviews120 interviews

Historical analysis

Key informant interviews

Stakeholders‘ interview (n=23) Officials and experts : MOA, CRI, cooperatives and unions, private

sectors, international Research centres, NGOs, CBOs,

Historical climate data (1980-2014) , public data bases

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Coffee farmers

Dairy farmers

Page 9: Role of Innovation System in Coffee Agroforestry System to ... · in the Kenyan coffee based agroforestry system, i.e. the coffee and dairy sectors, which differ in terms of stakeholders

Methodology

(1) characterized the innovation system of the coffee sector and

dairy sector separately,

(2) combined the analysis to understand the difference in the

innovation system of the two sectors and what affects for the

competitiveness across the sectors,

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Measured changes in Temperature

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Measured changes in Rainfall

y = -17,102x + 1487,2R² = 0,1814

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500

1000

1500

2000

2500

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14

Rai

nfa

ll in

mm

Years

Coffee zone

y = -0,6509x + 941,31R² = 0,0006

200

400

600

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1000

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1400

1600

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Rai

nfa

ll in

mm

Years

Food crops zone

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Mann-Kendall test of significance

Variable Mann-

Kendall’s tau

p-value Sen’s slope Mean

T Max 0.503 <0.0001** 0.043 25.75

T min 0.509 <0.0001** 0.032 14.19

T inter annual variability 0.592 <0.0001** 0.037 0.033

Rainfall coffee -0.334 0.0040** -17.100 1179.00

Rainfall food -0.052 0.6730 -1.485 925.72

Significance level(%): 5

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Actors’ interaction in the coffee sector

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Actors’ interaction in the dairy sector

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ConclusionsFarmers who are aware of CC are more willing to explore adaptation

strategies, further improves their hh income.

The strong correlation b/n socio-institutional variables and adaptation

suggests the need for the establishment of local institutions

Adaptation to CC in the coffee and dairy depends on the roles of SSI

in the coffee, actors’ system is centralized and the SI is oriented on

technology dev’t while the dairy sector, is based on institutional building.

The capacity to innovate, depends on institutional arrangement in

addition to the technology dev’t, suggesting the dairy could be an

example for the coffee sector.

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Difference between sectors

In the coffee sector, the actors’ system is highly centralized

and the SI is oriented towards technology development.

In the dairy sector consists of a diversity of actors, and its SI is

based on institutional building and marketing.

Sintesis :

The capacity to innovate and adapt in the coffee agroforestry

system, depends on specificities of sector (institutional

arrangements, to technology development

Suggesting that the dairy sector in Kenya could be an

example for the coffee sector ?

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