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

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Yields by Farmer TypeTo assess performance <strong>of</strong> different categories <strong>of</strong> farmers, focus groups undertookdiscussions as part <strong>of</strong> this study <strong>in</strong> seven <strong>of</strong> the n<strong>in</strong>e study countries (allexcept Ben<strong>in</strong> <strong>and</strong> Cameroon). Respondents were asked to group farmers <strong>in</strong>their area accord<strong>in</strong>g to volumes <strong>of</strong> production. Generally speak<strong>in</strong>g, the groupscan be thought <strong>of</strong> as large (group 1), medium (group 2), small (group 3), <strong>and</strong>very small (group 4) producers. In some countries, respondents identified onlythree groups (large, medium, <strong>and</strong> small) although what constitutes each categoryvaries by country context. Additional details about the methodology <strong>of</strong>this research—<strong>and</strong> its limitations—can be found <strong>in</strong> the annex to this chapter.A key <strong>in</strong>sight emerg<strong>in</strong>g from the farmer group <strong>in</strong>terviews concerns the variation<strong>in</strong> yields across groups with<strong>in</strong> <strong>in</strong>dividual countries, which are at least asgreat as the variations across countries. These variants are shown <strong>in</strong> figure 10.4.There are two ma<strong>in</strong> causes <strong>of</strong> this variation across groups with<strong>in</strong> a country.First, differences <strong>in</strong> access to <strong>in</strong>put are an important factor <strong>in</strong> ESA, but much lessso <strong>in</strong> WCA. Largely as a result, the variation <strong>in</strong> yields across groups is less pronounced<strong>in</strong> WCA than <strong>in</strong> ESA. The average ratio <strong>of</strong> yields between the top <strong>and</strong>bottom groups <strong>in</strong> the three WCA cotton sectors is 1.65, compared with 6.4 <strong>in</strong> thefive ESA sectors. A second reason is differences <strong>in</strong> ownership <strong>of</strong> assets, <strong>of</strong> whichthe most important are arguably oxen <strong>and</strong> plow<strong>in</strong>g equipment. Households thatFigure 10.4 Variation <strong>in</strong> Yields across Farmer Groups2,500yields <strong>of</strong> seed cotton by producer (kg/ha)2,0001,5001,0005000Burk<strong>in</strong>a FasoCameroonMaliMozambiqueTanzaniaUg<strong>and</strong>aZambiaZimbabweGroup 1 Group 2 Group 3 Group 4Source: Authors.YIELDS AND RETURNS TO FARMERS 121

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