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Organization and Performance of Cotton Sectors in Africa ... - infoDev

Organization and Performance of Cotton Sectors in Africa ... - infoDev

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Table 5.3 Summary <strong>of</strong> Producer Shares <strong>of</strong> FOT L<strong>in</strong>t Price (percent)1990–94 1995–99 2000–051995–2005(postreform<strong>in</strong> ESA)EntirePeriod(1990–2005)Ben<strong>in</strong> 58 62 71 67 64Burk<strong>in</strong>a Faso 55 57 73 66 62Cameroon 61 61 73 68 66Mali 56 52 76 65 62Mozambique 27 52 48 50 43Tanzania 49 65 70 68 62Ug<strong>and</strong>a — 72 68 70 70Zambia — 63 55 59 58Zimbabwe 63 69 49 58 59Source: Authors.Note: — = not available.transport <strong>and</strong> port cost data. Estimates <strong>of</strong> average quality premiums for eachcountry (see chapter 7) are then added to derive the value received by theg<strong>in</strong>ner at the g<strong>in</strong>nery door. The ratio <strong>of</strong> these two values—that paid to farmersby the g<strong>in</strong>ners <strong>and</strong> that received by g<strong>in</strong>ners at the factory door—shows theshare <strong>of</strong> FOT paid to farmers. The FOT l<strong>in</strong>t price is used <strong>in</strong>stead <strong>of</strong> FOBbecause FOT is the f<strong>in</strong>al product price most with<strong>in</strong> the companies’ control.Transport costs from FOT to FOB tend to be higher <strong>in</strong> l<strong>and</strong>locked countries(Burk<strong>in</strong>a Faso, Mali, Ug<strong>and</strong>a, Zambia, <strong>and</strong> Zimbabwe) than <strong>in</strong> coastal countries(Cameroon, Mozambique, <strong>and</strong> Tanzania). Thus, for example, costs fromFOT to FOB are estimated to be 50 percent higher <strong>in</strong> Zimbabwe (US$0.157 perkg <strong>of</strong> l<strong>in</strong>t) than <strong>in</strong> Tanzania (US$0.105 per kg <strong>of</strong> l<strong>in</strong>t) entirely because <strong>of</strong> geography.(Because <strong>of</strong> different transport costs, seed cotton prices <strong>in</strong> U.S. dollarterms may be lower <strong>in</strong> Ug<strong>and</strong>a than <strong>in</strong> Tanzania, but the share <strong>of</strong> FOT paid t<strong>of</strong>armers may be larger.)Caution is required <strong>in</strong> <strong>in</strong>terpret<strong>in</strong>g the data <strong>in</strong> table 5.3 for a number <strong>of</strong> reasons.First, the cotton companies <strong>in</strong> WCA, with the exception <strong>of</strong> Cameroon,have accumulated large deficits s<strong>in</strong>ce the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> the 2000s, so that pricesreceived by cotton growers <strong>in</strong>clude taxpayer (or donor) resources not capturedby the FOT shares. Second, even FOT figures do not account for different rates<strong>of</strong> taxation across countries (for example, Tanzania taxes its cotton sector quiteheavily while Ug<strong>and</strong>a does not). Third, there are various exchange rate issues<strong>in</strong> six <strong>of</strong> the n<strong>in</strong>e countries exam<strong>in</strong>ed, imply<strong>in</strong>g that several <strong>of</strong> the cotton sectorshave been taxed (the issues <strong>in</strong>clude, for example, a likely overvaluation <strong>of</strong>the CFA franc <strong>in</strong> WCA <strong>and</strong> the effects <strong>of</strong> local currency appreciation <strong>in</strong> Zambia).F<strong>in</strong>ally, the ratio should be <strong>in</strong>terpreted as an <strong>in</strong>dicator <strong>of</strong> how well g<strong>in</strong>ners70 BAFFES, TSCHIRLEY, AND GERGELY

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