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Unequal participation of smallholder farmers in coffee certification programs in Central Kenya Kirumba, E.G., Mithoefer, D., Gassner, A., Pinard, F. CAFNET PROJECT – ICRAF/CIRAD 29th MARCH 2011
Introduction Certification offers alternative governance (Raynolds et al., 2007) Potential for premiums, better prices, market visibility 8% of green coffee certified: fair trade, rainforest alliance, Utz certified e.t.c. (Giovannucci, 2010).  Concerns about exclusion of producers & imbalances of power (Swinnen and Maertens, 2007; Sexsmith & Potts, 2009) In Kenya,  coffee certification relatively new 1st certification schemes in 2005:  Fair trade, CAFÉ, UTZ
Introduction cont’d… Very little done on certification Moderate price increases, better cooperative organization, markets access (Kamau et al., 2009, Pflaeger, 2009) Gaps exist: What are the governance strategies? Do farmers self select or are pre-selected? What are the key determinants?
Materials and Methods
Materials and Methods cont’d …. Tekangu cooperative society: 3200 farmers Utz certification in  2008/2009 coffee season. Study done same period. Certified farmers: 2176, Non-certified farmers: 1024 Sample size: 150 farmers. 75 per category Simple random sampling Finite population correction: <5%
Data collection:  FGDs, informal interviews, questionnaires & lit Source:  Field Survey (FGD) Data analysis:  descriptives, inferential statistics, multi dimensional scaling (MDS), regression analysis
RESULTS
Top down strategy  Buyers interface between coop & international buyers Write proposals for funding to donors Select cooperative : based on quality, friendship, kinship Convince coop officials: promise of high prices Idea floated during AGM,  <5% attendance, passed Pre-selection: ‘A’ (good) and ‘B’ (poor) farmers selected Promoter farmers identified & trained Train fellow farmers
Suggested determinants of inclusion
Variable selection from suggested dets.
Comparisons between certified & non-certified farmers Key: ns= not significant; * = significant at p<0.1; ** = significant at p<0.05; ***= significant at p<0.01
Comparisons of certified vs. non-certified farmers  Key: ns= not significant; * = significant at p<0.1; ** = significant at p<0.05; ***= significant at p<0.01
Key determinants of inclusion into certification Key: β (odds ratio); S.E: (standard error); Exp (β): (exponential beta); Wald: wald statistic; df: degree of freedom
Conclusions  Certification focuses on ‘good’ farmers with pre-enabling conditions Pre-selection done to guarantee win-win situation Interactive participation (acceptance, ownership, sustainability) Training & information access for farmers – choices & self selection
Acknowlegement CAFNET project, IFRA & French Embassy for funding Supervision & guidance: Dagmar, Fabrice, Anja Farmers, Tekangu cooperative officials, buyer representatives

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Unequal participation of smallholder farmers in coffee certification programs in central kenya

  • 1. Unequal participation of smallholder farmers in coffee certification programs in Central Kenya Kirumba, E.G., Mithoefer, D., Gassner, A., Pinard, F. CAFNET PROJECT – ICRAF/CIRAD 29th MARCH 2011
  • 2. Introduction Certification offers alternative governance (Raynolds et al., 2007) Potential for premiums, better prices, market visibility 8% of green coffee certified: fair trade, rainforest alliance, Utz certified e.t.c. (Giovannucci, 2010). Concerns about exclusion of producers & imbalances of power (Swinnen and Maertens, 2007; Sexsmith & Potts, 2009) In Kenya, coffee certification relatively new 1st certification schemes in 2005: Fair trade, CAFÉ, UTZ
  • 3. Introduction cont’d… Very little done on certification Moderate price increases, better cooperative organization, markets access (Kamau et al., 2009, Pflaeger, 2009) Gaps exist: What are the governance strategies? Do farmers self select or are pre-selected? What are the key determinants?
  • 5. Materials and Methods cont’d …. Tekangu cooperative society: 3200 farmers Utz certification in 2008/2009 coffee season. Study done same period. Certified farmers: 2176, Non-certified farmers: 1024 Sample size: 150 farmers. 75 per category Simple random sampling Finite population correction: <5%
  • 6. Data collection: FGDs, informal interviews, questionnaires & lit Source: Field Survey (FGD) Data analysis: descriptives, inferential statistics, multi dimensional scaling (MDS), regression analysis
  • 8. Top down strategy Buyers interface between coop & international buyers Write proposals for funding to donors Select cooperative : based on quality, friendship, kinship Convince coop officials: promise of high prices Idea floated during AGM, <5% attendance, passed Pre-selection: ‘A’ (good) and ‘B’ (poor) farmers selected Promoter farmers identified & trained Train fellow farmers
  • 10. Variable selection from suggested dets.
  • 11. Comparisons between certified & non-certified farmers Key: ns= not significant; * = significant at p<0.1; ** = significant at p<0.05; ***= significant at p<0.01
  • 12. Comparisons of certified vs. non-certified farmers Key: ns= not significant; * = significant at p<0.1; ** = significant at p<0.05; ***= significant at p<0.01
  • 13. Key determinants of inclusion into certification Key: β (odds ratio); S.E: (standard error); Exp (β): (exponential beta); Wald: wald statistic; df: degree of freedom
  • 14. Conclusions Certification focuses on ‘good’ farmers with pre-enabling conditions Pre-selection done to guarantee win-win situation Interactive participation (acceptance, ownership, sustainability) Training & information access for farmers – choices & self selection
  • 15. Acknowlegement CAFNET project, IFRA & French Embassy for funding Supervision & guidance: Dagmar, Fabrice, Anja Farmers, Tekangu cooperative officials, buyer representatives