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I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
UNIVERSITY OF COPENHAGEN
Does Contracting Matter?
An Efficiency Analysis of Sunflower Farmers in Tanzania
Anwar Seid Adem
Supervisor: Arne Henningsen
Institute of Food and Resource Economics
October 20, 2014
Slide 1
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Outline
• Background
• Problem Statements
• Theoretical Grounds
• Gaps in the Literature
• Objectives
• Methodology
• Results and Discussion
• Limitations
• Conclusions
• Future Perspectives
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 2
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Background
• Expansion in sunflower production
• Unsatisfied demand for edible Oil
• 60% imported
• High Potential
• Good agro-ecological condition
• Human and natural resource
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 3
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
Figure: Tanzanian Sunflower Production (FAOSTAT)
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 4
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
• Expansion of CF
• Change in global agricultural
system
• Decline in farmers’ faith on other
institutions
• Farmers’ organization
• Cooperatives
• Governmental and
nongovernmental organization’s
attention
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 5
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 6
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Problem Statements
• Despite expansion of CF in sunflower production, the
question how it affect participants remain unclear.
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 7
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Theoretical Grounds
Lack of consensus on the impact of CF
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 8
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Gaps in the Literature
• Empirical gap
• Relatively little attention is given to the impact of CF
on farmers’ technical efficiency and yield
• Methodological gap
• Correcting biases from both observed and
unobserved variables mostly overlooked
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 9
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Objectives
• Estimating the impact of CF on:
1 farmers technical efficiency
2 farmers yield
• Identify the determinants of CF participation
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 10
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Methodology
• To measure technical efficiency:
Adopt Stochastic frontier analysis (SFA)
ln(yi) = β0 +
4
∑
k=1
βk ln(xik ) + δdj + vi −ui
• To correct selectivity bias:
Bravo-Ureta, Greene and Sol´ıs (2012)
• Propensity score matching:
• corrects bias from observables
• Greene (2010) framework:
• corrects bias from unobservables
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 11
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
• Data
• Kongwa district
• 2011/2012 growing season
• sample size: 396 farmers
201 participants
195 nonparticipants
• variables:
• sunflower yield
• inputs:
land, labor, seed, and other
implements expenses
• other farm and household
characteristics
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 12
Results and Discussion
Table: Technical efficiency score of participant and non
participant
Conventional unmatched Selection Matched
Part. Nonpart. Part. Nonpart.
Mean 0.565 0.559 0.516 0.839
SD 0.160 0.158 0.204 0.025
Minimum 0.159 0.167 0.095 0.752
Maximum 0.831 0.845 0.896 0.896
Mean Difference 0.006 -0.323
t-ratio 0.38 -21.66***
Observations 201 195 190 190
∗P < 0.10 ; ∗∗P < 0.05; ∗∗∗P < 0.01
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
Impact of CF participation on yield
Unmatched Sample Matched Sample
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 14
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
Predicted frontier output from bias corrected model
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 15
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Cont...
Determinants of CF participation
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 16
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Limitations
• Cannot be generalized
• Data problems
• Selection correction method only for error
components frontier model
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 17
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Conclusions
• Presence of selection in CF participation
• CF participants are not technically more efficient
• Participation has a positive impact on yield
• Participation decision affected by:
• age, education, number of people in household and
landholding size
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 18
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Future Perspectives
• Extending selection correction to efficiency effects
frontier (EEF) models
• Formal test of technology homogeneity/heterogeneity
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 19
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Thank you very much!
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 20
U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S
Questions and Comments
Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter?
Slide 21

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Msc thesis Presentation

  • 1. I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S UNIVERSITY OF COPENHAGEN Does Contracting Matter? An Efficiency Analysis of Sunflower Farmers in Tanzania Anwar Seid Adem Supervisor: Arne Henningsen Institute of Food and Resource Economics October 20, 2014 Slide 1
  • 2. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Outline • Background • Problem Statements • Theoretical Grounds • Gaps in the Literature • Objectives • Methodology • Results and Discussion • Limitations • Conclusions • Future Perspectives Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 2
  • 3. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Background • Expansion in sunflower production • Unsatisfied demand for edible Oil • 60% imported • High Potential • Good agro-ecological condition • Human and natural resource Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 3
  • 4. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... Figure: Tanzanian Sunflower Production (FAOSTAT) Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 4
  • 5. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... • Expansion of CF • Change in global agricultural system • Decline in farmers’ faith on other institutions • Farmers’ organization • Cooperatives • Governmental and nongovernmental organization’s attention Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 5
  • 6. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 6
  • 7. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Problem Statements • Despite expansion of CF in sunflower production, the question how it affect participants remain unclear. Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 7
  • 8. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Theoretical Grounds Lack of consensus on the impact of CF Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 8
  • 9. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Gaps in the Literature • Empirical gap • Relatively little attention is given to the impact of CF on farmers’ technical efficiency and yield • Methodological gap • Correcting biases from both observed and unobserved variables mostly overlooked Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 9
  • 10. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Objectives • Estimating the impact of CF on: 1 farmers technical efficiency 2 farmers yield • Identify the determinants of CF participation Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 10
  • 11. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Methodology • To measure technical efficiency: Adopt Stochastic frontier analysis (SFA) ln(yi) = β0 + 4 ∑ k=1 βk ln(xik ) + δdj + vi −ui • To correct selectivity bias: Bravo-Ureta, Greene and Sol´ıs (2012) • Propensity score matching: • corrects bias from observables • Greene (2010) framework: • corrects bias from unobservables Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 11
  • 12. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... • Data • Kongwa district • 2011/2012 growing season • sample size: 396 farmers 201 participants 195 nonparticipants • variables: • sunflower yield • inputs: land, labor, seed, and other implements expenses • other farm and household characteristics Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 12
  • 13. Results and Discussion Table: Technical efficiency score of participant and non participant Conventional unmatched Selection Matched Part. Nonpart. Part. Nonpart. Mean 0.565 0.559 0.516 0.839 SD 0.160 0.158 0.204 0.025 Minimum 0.159 0.167 0.095 0.752 Maximum 0.831 0.845 0.896 0.896 Mean Difference 0.006 -0.323 t-ratio 0.38 -21.66*** Observations 201 195 190 190 ∗P < 0.10 ; ∗∗P < 0.05; ∗∗∗P < 0.01
  • 14. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... Impact of CF participation on yield Unmatched Sample Matched Sample Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 14
  • 15. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... Predicted frontier output from bias corrected model Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 15
  • 16. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Cont... Determinants of CF participation Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 16
  • 17. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Limitations • Cannot be generalized • Data problems • Selection correction method only for error components frontier model Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 17
  • 18. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Conclusions • Presence of selection in CF participation • CF participants are not technically more efficient • Participation has a positive impact on yield • Participation decision affected by: • age, education, number of people in household and landholding size Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 18
  • 19. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Future Perspectives • Extending selection correction to efficiency effects frontier (EEF) models • Formal test of technology homogeneity/heterogeneity Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 19
  • 20. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Thank you very much! Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 20
  • 21. U N I V E R S I T Y O F C O P E N H A G E N I N S T I T U T E O F F O O D A N D R E S O U R C E E C O N O M I C S Questions and Comments Anwar Seid AdemSupervisor: Arne Henningsen — Does Contracting Matter? Slide 21