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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Points of departure ,[object Object],[object Object],[object Object],[object Object]
The Kenyan context Crop residues Burnt CO 2 -emissions Livestock Manure
 
Figure A2.  Distribution of Carbon (C) (%) Fig. A2.  Distribution of Carbon (C) (%)
Conceptual model ,[object Object],[object Object],[object Object]
Theoretical model q(s, L)  = production function = total biomass of stovers generated on farm  i   = biomass deposited on field => improves soil = biomass used to feed livestock ρ R   = total benefit of  R  as livestock fodder
Theoretical model (c’ed) Soil-quality evolution equation: => Biomass deposited on the field builds up soil quality  => Ag. labor ( L ) depletes soil quality
[object Object],The Social Planner’s Problem Incentive External benefit  from crop residue Shadow value of  soil capital
Solution ,[object Object],[object Object],Value of  Externality
[object Object],[object Object],[object Object],[object Object],Empirical analysis
The Study Area
 
 
Conclusions ,[object Object],[object Object],[object Object]

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Ekbom Carbon Paper Akpalu And Ekbom Nov 2 2008

  • 1.
  • 2.
  • 3. The Kenyan context Crop residues Burnt CO 2 -emissions Livestock Manure
  • 4.  
  • 5. Figure A2. Distribution of Carbon (C) (%) Fig. A2. Distribution of Carbon (C) (%)
  • 6.
  • 7. Theoretical model q(s, L) = production function = total biomass of stovers generated on farm i = biomass deposited on field => improves soil = biomass used to feed livestock ρ R = total benefit of R as livestock fodder
  • 8. Theoretical model (c’ed) Soil-quality evolution equation: => Biomass deposited on the field builds up soil quality => Ag. labor ( L ) depletes soil quality
  • 9.
  • 10.
  • 11.
  • 13.  
  • 14.  
  • 15.