The Microeconomics of Household Collection of Wild Coffee in Ethiopia: Some Policy Implications for in-situ Conservation of Coffea arabica Genetic Diversity Degnet Abebaw and Detlef Virchow Center for Development Research (ZEF), Univ. of Bonn, Germany - PowerPoint PPT Presentation

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The Microeconomics of Household Collection of Wild Coffee in Ethiopia: Some Policy Implications for in-situ Conservation of Coffea arabica Genetic Diversity Degnet Abebaw and Detlef Virchow Center for Development Research (ZEF), Univ. of Bonn, Germany

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Title: The Microeconomics of Household Collection of Wild Coffee in Ethiopia: Some Policy Implications for in-situ Conservation of Coffea arabica Genetic Diversity Degnet Abebaw and Detlef Virchow Center for Development Research (ZEF), Univ. of Bonn, Germany


1
The Microeconomics of Household Collection of
Wild Coffee in Ethiopia Some Policy Implications
for in-situ Conservation of Coffea arabica
Genetic DiversityDegnet Abebaw and Detlef
Virchow Center for Development Research (ZEF),
Univ. of Bonn, Germany
2
Outline
1. Introduction 2. Background of the study 3.
Overview of the sample and hypotheses
of the study 4. Theoretical framework and
analytical model 5. Analytical results 6.
Conclusion and policy implications
3
1.      Introduction 
  • rich sources of genetic resources
  • means of livelihood and safety nets
  • crucial source of agricultural inputs (farm
  • implements, seedlings, seeds)
  • household furnitures (dining tables, beds,
    spoons, chairs, etc)
  • carbon sequestration
  • Local/regional/national climate regulation

4
Challenges
  • Deforestation and degradation of natural
    resources
  • Population pressure
  • Market developments
  • Migration
  • Inappropriate policies/policy failures

5
  • Models of conservation and development
  • Fence and fine rule
  • Integrated conservation and
  • development

6
2.      Background of the study
  • Ethiopia has a rich diversity of crops
  • - one among the eight Vivilovian gene
    center in the world
  • Origin and center of diversity for Coffea arabica
  • High diversity in coffee land races on peasant
    farms and wild gene pool
  • Local benefits from the wild populations
  • for income and
  • for family consumption
  • for breeding values
  • Contributes about 6 to the total coffee
    production in Ethiopia

7
  • Some factors leading to depletion of wild coffee
    population in the Ethiopian Highlands
  • rapid population growth
  • resettlement in the nearby areas
  • lack of favorable inter-sectoral linkages
    (agriculture with forestry)
  • lack of coherent forest and agricultural policies
  • lack of human resources and finance

8
  • Recent Developments
  • Interest is growing for genetic resource
    conservation
  • - from within the country (govt,
    academics, research)
  • - from outside the country (donors,
    international univ.,
  • research centers)
  • e.g., Initiatives to conserve wild coffee genetic
    diversity has been in progress since recently
  • Ethiopian Government/European Union,
  • ZEF in collaboration with EARO

9
  • Objectives
  • To identify the main features of household
    dependent on the collection of wild coffee from
    the places proposed for the conservation of
    forest coffee genetic diversity
  • 2 To draw decision support inputs for
    integrating local needs and behavior with in-situ
    conservation of forest coffee genetic resources
    in Ethiopia.

10
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11
Study areas
  • 1. Yayu district (Geba-Dogi)
  • 10,000 ha of forest coffee
    demarcated
  • 2. Gewata district (Boginda-Yeba)
  • 2,764 ha

12
  • Yayu district
  • 520 kilo meters from Addis Ababa
  • Mixed farming systems (maize, sorghum, cattle and
    small ruminants)
  • Coffee is a major cash crop and major source of
    livelihood followed by chat
  • Perennial crops are very important

13
  • Land use characteristics

Total Area 1353 sq.km
Arable land percentage 853.74 (63.1)
Cultivated land 297.10 (21.96)
Pasture 129.89 (9.60)
Forest and shrub 261.13 (19.30)
Degraded 108.24 (8.0)
14
2.3 Survey Design and data type
  • A two-stage random sampling technique
  • was employed
  • 121 farm families in the region
  • Primary and secondary data
  • ? July 2002 to April 2003

15
3. Overview of the sample and hypotheses of the
study
16
Most important reasons for wild coffee extraction
17
Access to wild coffee in the last 5 years
18
Farmers perceptions of the stock of wild coffee
and montane rain forest in the study area
19
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20
Table 2. Hypothese and descriptive statistics
Explanatory variables Measurement Mean Std.Dev. Expected sign
AGE Age of hh head 42.88 13.63
ADUL Number of adults 3.02 1.85
SEX Sex of head, 1 if male 0.86 0.34
FMSZ Family size 5.50 2.26
RESID Redidence hist. , 1 if non-migrant 0.64 0.48
ANNC Land with annual crops 1.37 0.95 -/
PERC Land with perrenial crops 1.38 1.17 -/
ADJC Plots adjacent to forest, 1 if yes 0.39 0.49
PRISK Price risk perception 3.56 1.25
ASSET1 Value of farm equipments 63.02 57.42 -
ASSET2 Value of livestock 833.86 948.94 -
DIVER Number of crop enterprises 3.21 1.74 -
DISTW Minutes to reach the nearest market town 122.81 101.51 -/
DISFR Minutes to rearch forest edge 50.40 27.71 -
21
4. Theoretical framework and empirical approach
  • Conservation of Wild coffee (center for arabica
    coffee genetic diversity) provides short-term and
    long-term benefits to local people, national and
    international communities
  • As elsewhere in other tropical forests, local
    people practice forest-based activities in
    general and extract NTFP (wild coffee ) from
    these forests and a sudden exclusion of these
    people will push them to further poverty and
    marginalization. Therefore, one way of
    alleviating the conflict of interst between
    conservation and current extraction needs is to
    look into the socioeconomics of participation in
    the wild coffee, NTFP (case study examples for
    NTFP elsewhere include Gunatileke and
    Chakravorty, 2003 Pattanayak and Sills, 2001)
  • Farm household model
  • Production ? Consumption ? Collection
  • Risk and uncertainty in the coffee sector
  • Expected utility maximization

22
Empirical approach
  • Define
  • U1i sum current and expected utility
  • that the ith household gets from
    wild
  • coffee collection
  • U0i sum of current and expected utility that
  • the ith household gets from non-
  • collection of wild coffee
  • A rational household is assumed to participate in
    wild coffee collection as far as
  • U1i -U0i gt0

23
Empirical Approach (contd.)
  • Ii ?Xvi
  • Ci1 if Iigt0
  • Ci0 if not
  • Probit Regression

24
Explanatory variables coefficients Marginal effects
Age -0.1706
Number of adults -0.3027 -0.1087
Sex 0.9019 0.3237
Famly size 0.1485 0.0533
Residence 0.2946
Annual crops 0.3463
Perrenial crops 0.1342
Adjacent plot 0.5694 0.2044
Perception of price risk -0.0003
Value of farm equipments -0.0002
Value of livestock Crop diversification 0.1E-4 -0.1016
Distance from Mkt. town -0.0017 -0.0006
Distance from forest edge -0.0098 -0035
Intercept -0.4912
Log likelihood function -79.86
Chi-squared 34.19
Correct ly predicted sample cases 74.38
25
6. Conclusions and Policy implications
  • The proposed wild coffee conservation area is an
    important source of income and employment to the
    local people
  • Complete prohibition of picking wild coffee from
    such areas will harm a significant portion of the
    society
  • Use pressure could be minimized by providing
    compensations and incentives while at the same
    time working through proper settlement/resettlemnt
    , family planning and crop
    diversification .............

26
  • Thank you!
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