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

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higher demand for agricultural commodities than urban households. <strong>The</strong> prom<strong>in</strong>ent<br />

outcome <strong>of</strong> these results is that trade liberalisation is not as beneficial to the urban<br />

households as is to the rural households. This can be expla<strong>in</strong>ed by the fact that before<br />

trade liberalisation, the terms <strong>of</strong> trade are heavily <strong>in</strong> favor <strong>of</strong> urban households when<br />

compared to the rural households. Consequently, lower tariffs remove some <strong>of</strong> the<br />

advantages that the urban households may be hav<strong>in</strong>g over the rural households.<br />

Table 8: Consumer demand by household categories<br />

Agriculture Manufactur<strong>in</strong>g Services<br />

Uhh1 -0.8 3.0 -0.1<br />

Uhh2 -0.8 3.0 -0.1<br />

Uhh3 0.1 3.9 0.8<br />

Rhh1 1.0 4.8 1.7<br />

Rhh2 0.4 4.3 1.2<br />

Rhh3 1.2 5.1 1.9<br />

Rhh4 0.7 4.6 1.5<br />

Rhh5 0.9 4.8 1.7<br />

Rhh6 1.2 5.0 1.9<br />

Rhh7 0.3 4.1 1.0<br />

<strong>The</strong> results regard<strong>in</strong>g consumer demand by household categories are consistent with the<br />

argument by proponents <strong>of</strong> globalisation (trade liberalisation is just a subset) that the<br />

welfare <strong>of</strong> the consumers improves when tariffs are reduced. As mentioned above, the<br />

higher welfare is <strong>in</strong> the form <strong>of</strong> ris<strong>in</strong>g real <strong>in</strong>comes as the cost <strong>of</strong> a typical basket <strong>of</strong><br />

goods decl<strong>in</strong>es <strong>in</strong> a liberalised economy, which is also accompanied by a wider, and<br />

higher quality choices.<br />

7. Conclusions and policy recommendations<br />

This study uses a CGE framework to quantify economy-wide effects <strong>of</strong> trade<br />

liberalization <strong>in</strong> Kenya’s economy, with special focus on the agricultural sector. <strong>The</strong><br />

ma<strong>in</strong> thrust <strong>of</strong> policy change was the shift from protectionism to embrace openness,<br />

through substantial reduction <strong>of</strong> import tariffs. This did affect the performance <strong>of</strong> the<br />

agricultural sector either directly or <strong>in</strong>directly. <strong>The</strong> study exam<strong>in</strong>es how the policy<br />

changes contributed to the performance <strong>of</strong> the agricultural sector <strong>in</strong> 1980s and 1990s<br />

and then compare this performance with the expectations from the policy reforms. A<br />

CGE model is appropriate given the many direct and <strong>in</strong>direct l<strong>in</strong>kages that the<br />

agricultural sector has with other economic sectors. <strong>The</strong> study also explores the<br />

implications for agriculture’s role <strong>in</strong> poverty reduction <strong>in</strong> light <strong>of</strong> the liberalized<br />

environment. This is done by test<strong>in</strong>g two ma<strong>in</strong> hypotheses: first, how trade<br />

liberalization has affected the Kenya economy <strong>in</strong> general and specifically agriculture,<br />

and second how the performance <strong>of</strong> the agricultural sector impacts on poverty through<br />

<strong>in</strong>come, employment and foreign exchange earn<strong>in</strong>gs. For <strong>in</strong>stance, it uses tariff rates<br />

from the <strong>in</strong>put-output tables and the social account<strong>in</strong>g matrix <strong>of</strong> 1986 to simulate the<br />

implications <strong>of</strong> reduc<strong>in</strong>g the manufactured goods tariff by 40% to an effective rate <strong>of</strong><br />

15% from the average <strong>of</strong> 25.2%.

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