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list of figures - Terry Sunderland

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Figure 99. Scatterplot <strong>of</strong> size <strong>of</strong> market and distance <strong>of</strong> supply<br />

Range (km)<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

LOCAL<br />

0<br />

1000000<br />

REGIONAL<br />

MEDIUM-SIZED<br />

2000000<br />

3000000<br />

4000000<br />

247<br />

5000000<br />

NATIONAL<br />

6000000<br />

Mean monthly value (CFA)<br />

7000000<br />

7.4.2 Sampling methodology<br />

Information for this study was gathered using a standard questionnaire modified from<br />

techniques developed through the implementation <strong>of</strong> a number <strong>of</strong> well-known general<br />

marketing studies (Padoch, 1987; Falconer, 1994; Martin, 1995; Alexiades 1996;<br />

Ndoye et al., 1999). The questionnaire was developed and modified to enable the<br />

gathering <strong>of</strong> both qualitative and quantitative information as a means <strong>of</strong> assessing the<br />

socio-economic nature <strong>of</strong> the rattan industry. The methodology was successfully<br />

tested in a pilot study <strong>of</strong> the rattan industry in the city <strong>of</strong> Bata, Equatorial Guinea<br />

(<strong>Sunderland</strong>, 1998). In total, 174 artisans in 15 urban markets 3 were interviewed over<br />

a two-month period from July to September 1998, representing a mean sampling<br />

percentage <strong>of</strong> 81%.<br />

3 There is a strong correlation between population and the number <strong>of</strong> artisan units per urban market<br />

(Pearson correlation coefficient r = 0.96, P = 0.01) and there is, on average, one processing unit for<br />

each 6,150 head <strong>of</strong> population.

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