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

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Migori<br />

Awendo<br />

Postliberalization 1,626 684 1,113* 273 0.25<br />

Preliberalization 950 230 602 238 0.40<br />

Postliberalization 2,120 400 1,020* 414 0.41<br />

Preliberalization 1,052 280 532 227 0.43<br />

Postliberalization 1,535 480 1,079* 295 0.27<br />

Source: Authors’ survey, 2001.<br />

* Significantly different (1%) from the correspond<strong>in</strong>g preliberalization figure.<br />

a CV = coefficient <strong>of</strong> variation.<br />

An attempt to study trends <strong>in</strong> price spreads by consider<strong>in</strong>g prices <strong>in</strong> the surplus and deficit<br />

markets was unsuccessful, as the difference between the two does not constitute current<br />

market<strong>in</strong>g costs. It was found that <strong>in</strong> some cases prices <strong>in</strong> surplus areas were higher than<br />

those <strong>in</strong> deficit areas. This f<strong>in</strong>d<strong>in</strong>g suggests the occurrence <strong>of</strong> <strong>in</strong>terseasonal commodity flow<br />

reversals. Instead, to ga<strong>in</strong> some understand<strong>in</strong>g <strong>of</strong> how prices <strong>in</strong> different markets were<br />

related, an assessment <strong>of</strong> the degree <strong>of</strong> market <strong>in</strong>tegration was carried out.<br />

3.2 Effects <strong>of</strong> Liberalization on Market Integration<br />

3.2.1 Correlation Analysis<br />

As <strong>in</strong>dicated earlier, several models were employed for the purpose <strong>of</strong> analyz<strong>in</strong>g market<br />

<strong>in</strong>tegration. <strong>The</strong> first step <strong>in</strong>volved comput<strong>in</strong>g simple correlation coefficients for pairs <strong>of</strong><br />

price series. <strong>The</strong> results <strong>of</strong> correlation analysis <strong>of</strong> price levels are presented <strong>in</strong> Tables 4a and<br />

4b. <strong>The</strong> simple correlation coefficients are quite high, rang<strong>in</strong>g between 0.718 and 0.987 <strong>in</strong><br />

the preliberalization period and between 0.522 and 0.899 <strong>in</strong> the postliberalization period. An<br />

<strong>in</strong>terest<strong>in</strong>g observation is that all the correlation coefficients <strong>in</strong> the preliberalization period are<br />

greater than the correspond<strong>in</strong>g coefficients <strong>in</strong> the postliberalization period. Markets close to<br />

each other, such as Kiritiri and Siakago, show higher correlation coefficients, as do markets<br />

that are connected by better transport <strong>in</strong>frastructure, such as between Nairobi and most <strong>of</strong> the<br />

other markets. <strong>The</strong> results seem to support the generally accepted notion that shorter<br />

distances and improved <strong>in</strong>frastructure among markets lead to lower transaction costs, mak<strong>in</strong>g<br />

arbitrage pr<strong>of</strong>itable and thereby enhanc<strong>in</strong>g <strong>in</strong>tegration <strong>of</strong> such markets.<br />

Table 4a--Correlation matrix <strong>of</strong> price levels <strong>in</strong> the preliberalization era<br />

Kiritiri Siakago Kitale Nairobi Migori Awendo<br />

Kiritiri 1.000<br />

Siakago 0.987 1.000<br />

Kitale 0.718 0.749 1.000<br />

Nairobi 0.849 0.846 0.877 1.000<br />

Migori 0.750 0.760 0.829 0.891 1.000<br />

Awendo 0.795 0.760 0.719 0.874 0.747 1.000<br />

Table 4b--Correlation matrix <strong>of</strong> price levels <strong>in</strong> the postliberalization era<br />

Kiritiri Siakago Kitale Nairobi Migori Awendo<br />

Kiritiri 1.000<br />

Siakago 0.835 1.000<br />

Kitale 0.600 0.616 1.000<br />

Nairobi 0.765 0.832 0.899 1.000

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