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The Future of Smallholder Farming in Eastern Africa - Uganda ...

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Table 9: Tobit Analysis with Environmental Degradation as the dependent variable a<br />

Variable Laikipia Suba <strong>The</strong> districts<br />

comb<strong>in</strong>ed<br />

Sex <strong>of</strong> land user -0.0278<br />

(0.1253)<br />

0.2691<br />

(0.1673)<br />

0.0217<br />

(0.1038)<br />

Income <strong>of</strong> land user -0.0025<br />

(0.0016)<br />

0.0018<br />

(0.0027)<br />

-0.0012<br />

(0.0014)<br />

Parcel size 0.0105<br />

(0.0099)<br />

0.0195<br />

(0.0199)<br />

0.0146<br />

(0.0096)<br />

Gradient <strong>of</strong> land 0.042<br />

(0.0917)<br />

0.4129***<br />

(0.1307)<br />

0.2051***<br />

(0.0786)<br />

Vegetation cover (%) -0.0165***<br />

(0.0031)<br />

-0.015***<br />

(0.004)<br />

-0.0152***<br />

(0.0024)<br />

Access to market -0.276***<br />

(0.077)<br />

-0.1599<br />

(0.1072)<br />

-0.2805***<br />

(0.0648)<br />

Tenure security 0.0168<br />

(0.0689)<br />

0.1953<br />

(0.1445)<br />

0.0389<br />

(0.0683)<br />

Access to credit 0.0884<br />

(0.2228)<br />

-0.4114<br />

(0.5239)<br />

-0.0687<br />

(0.2208)<br />

Soil type -0.0062<br />

(0.0688)<br />

-0.1771<br />

(0.1158)<br />

-0.1132*<br />

(0.062)<br />

Right to sell land -0.033<br />

(0.082)<br />

0.0204<br />

(0.1273)<br />

0.0946<br />

(0.059)<br />

Right to designate heir to land -0.003<br />

(0.0759)<br />

-0.2574<br />

(0.1664)<br />

-0.0778<br />

(0.078)<br />

Right to rent out land -0.0667<br />

(0.0826)<br />

-0.0019<br />

(0.1421)<br />

-0.111<br />

(0.0762)<br />

Right to plant and cut trees -0.0398<br />

(0.0794)<br />

0.1574<br />

(0.2945)<br />

0.0387<br />

(0.0796)<br />

Right to plant perennial crops -0.0006<br />

(0.1139)<br />

0.2378<br />

(0.3446)<br />

0.0944<br />

(0.1103)<br />

Agr<strong>of</strong>orestry (1=yes) -0.3977*<br />

(0.2321)<br />

0.0444<br />

(0.1714)<br />

0.0056<br />

(0.1301)<br />

Tree Crops (1=yes) -0.095<br />

(0.1646)<br />

-0.2855<br />

(0.1477)<br />

-0.3637***<br />

(0.1154)<br />

Education level <strong>of</strong> land user -0.0273<br />

(0.0756)<br />

0.0379<br />

(0.1477)<br />

-0.0158<br />

(0.0738)<br />

<strong>Farm<strong>in</strong>g</strong> is ma<strong>in</strong> occupation <strong>of</strong> land user (1=yes) -0.0789<br />

(0.1327)<br />

-0.4235<br />

(0.2689)<br />

-0.1003<br />

(0.1348)<br />

Title deed (1=yes) 0.2141<br />

(0.1477)<br />

0.0216<br />

(0.2943)<br />

0.0763<br />

(0.1376)<br />

Constant 4.474***<br />

(0.61367)<br />

2.3173**<br />

(0.9457)<br />

3.862***<br />

(0.535)<br />

Log Likelihood -111.13 -145.48 -281.04<br />

Number <strong>of</strong> relevant observations 129 124 253<br />

Where: a Numbers <strong>in</strong> parentheses are standard errors.<br />

* Significant at 10%, ** significant at 5%, *** significant at 1%.<br />

4.4 Econometric Models for Environmental Conservation<br />

In an attempt to establish the determ<strong>in</strong>ants <strong>of</strong> <strong>in</strong>vestment <strong>in</strong> environmental conservation<br />

and other forms <strong>of</strong> land improvement, we used logit regression analysis and the results are<br />

as <strong>in</strong> Table 10. <strong>The</strong> choice <strong>of</strong> the model was based on the b<strong>in</strong>omial nature <strong>of</strong> the<br />

dependent variables. <strong>The</strong> total number <strong>of</strong> valid observations was 250. <strong>The</strong> ma<strong>in</strong> land<br />

improvement methods were expressed as dummies and <strong>in</strong>cluded terrac<strong>in</strong>g, dra<strong>in</strong>age

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