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Land Tenure and Property Rights in the Agricultural Areas of Kenya: Economic, Environmental and Social Impacts   ,[object Object],[object Object],[object Object],[object Object]
Commercial Leasehold ,[object Object]
Adjudicated Land ,[object Object]
Unadjudicated Land ,[object Object]
Economic Impacts
Note (*) : % of non-Government Land 12 18 35 Unadjudicated 56 67 44 Freehold 32 15 21 Leasehold % Net Agricultural Returns % Rural Population % Land (*) Major Tenure Types in the Agricultural Lands of Kenya
 
 
 
 
 
 
 
Agricultural Rents net returns to land ($NRL) $NRL = gross revenues – (direct & indirect costs) as $ ha -1 y -1
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
 
0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
 
 
Tenure Effect (Freehold versus Unadjudicated) Dummy Freehold Tenure = 0   $NRL = $126   Dummy Freehold Tenure = 1  $NRL = $288 TENURE EFFECT (aebe) 2.28
Environmental Impacts
Tenure and Investment in Woody Vegetation
Machakos District; % Land with Erosion Control (terracing, bunds, contour ploughing or tied ridging)
Social Impacts
0.628 0.485 0.079 0.019 0.009 Freehold tenure * Embedded Land Tenure * 1989 Population (per km2) 0.056 1.909 0.282 0.018 0.034 Embedded Land Tenure * 1989 Population (per km2) 0.000 4.311 0.185 1.818 7.837 Freehold tenure * Embedded Land Tenure 0.002 -3.157 -0.089 1.762 -5.564 Embedded Land Tenure 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
 
 
Lessons to be Learned? ,[object Object]
Lessons to be Learned? ,[object Object],[object Object]
Lessons to be Learned? ,[object Object],[object Object],[object Object]

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Land Tenure and Property Rights in the Agricultural Areas of Kenya: Economic, Environmental and Social Impacts

  • 1.
  • 2.
  • 3.
  • 4.
  • 6. Note (*) : % of non-Government Land 12 18 35 Unadjudicated 56 67 44 Freehold 32 15 21 Leasehold % Net Agricultural Returns % Rural Population % Land (*) Major Tenure Types in the Agricultural Lands of Kenya
  • 7.  
  • 8.  
  • 9.  
  • 10.  
  • 11.  
  • 12.  
  • 13.  
  • 14. Agricultural Rents net returns to land ($NRL) $NRL = gross revenues – (direct & indirect costs) as $ ha -1 y -1
  • 15.
  • 16. 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
  • 17. 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
  • 18. 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
  • 19.  
  • 20. 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
  • 21.  
  • 22.  
  • 23. Tenure Effect (Freehold versus Unadjudicated) Dummy Freehold Tenure = 0 $NRL = $126 Dummy Freehold Tenure = 1 $NRL = $288 TENURE EFFECT (aebe) 2.28
  • 25. Tenure and Investment in Woody Vegetation
  • 26. Machakos District; % Land with Erosion Control (terracing, bunds, contour ploughing or tied ridging)
  • 28. 0.628 0.485 0.079 0.019 0.009 Freehold tenure * Embedded Land Tenure * 1989 Population (per km2) 0.056 1.909 0.282 0.018 0.034 Embedded Land Tenure * 1989 Population (per km2) 0.000 4.311 0.185 1.818 7.837 Freehold tenure * Embedded Land Tenure 0.002 -3.157 -0.089 1.762 -5.564 Embedded Land Tenure 0.006 2.770 0.351 0.102 0.283 Freehold tenure * 1989 Population (per km2) 0.000 3.909 0.425 0.094 0.367 1989 Population (per km2) 0.007 2.703 0.055 0.349 0.943 Freehold tenure * Distance (km) to all weather roads 0.000 4.239 0.072 0.197 0.836 Distance (km) to all weather roads 0.610 0.510 0.012 5.116 2.607 Freehold tenure * Rainfall and Soil Moisture 0.000 8.776 0.225 3.551 31.162 Rainfall and Soil Moisture 0.000 14.117 0.251 5.168 72.952 Freehold tenure * Elevation and Temperature 0.000 4.881 0.086 3.304 16.125 Elevation and Temperature 0.000 5.865 0.310 15.408 90.372 Freehold tenure 0.000 10.113 0.000 11.075 112.008 CONSTANT p-value t Std. Coefficient Standard Error Coefficient $ Effect
  • 29.  
  • 30.  
  • 31.
  • 32.
  • 33.

Notas do Editor

  1. Net returns to land allows direct comparisons between different land uses and production strategies. It is gross revenues less direct and indirect costs of production. The term “rent” (which has nothing to do with a lease) refers to these net returns. On the rangelands, producers try and “capture” rents from agricultural, livestock and wildlife production. See my Economics of Conservation paper on the web site