Rural Income Generation and Diversification - A Case Study ... - Doria
Rural Income Generation and Diversification - A Case Study ... - Doria
Rural Income Generation and Diversification - A Case Study ... - Doria
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6. Results<br />
The results of the data analyses are presented in this chapter. First, the focus will be on the<br />
results <strong>and</strong> findings based on the whole dataset (n=197) collected in February-May 2003 28<br />
with the aim to establish an overall picture of rural income generation <strong>and</strong> diversification<br />
patterns among the interviewed households in Eastern Province. This includes also econometric<br />
analyses aiming at defining the household characteristics <strong>and</strong> other determinants of<br />
income diversification patterns. Then, the focus will be shifted to analysing the changes in<br />
income generation <strong>and</strong> diversification among the 67 households present in both the 1985/86<br />
<strong>and</strong> 2003 surveys.<br />
6.1 Household income generation <strong>and</strong> diversification based on the 2003<br />
survey<br />
6.1.1 An overview<br />
One household from the Petauke district <strong>and</strong> one from Mambwe were omitted in the statistical<br />
work because they turned out to be extreme outliers in the EPIDS dataset in terms of total<br />
income. 29 The EPIDS analyses were thus based on a sample of 197 households, of which 49<br />
were from Mambwe, 50 from Lundazi, 48 from Chipata, <strong>and</strong> 50 from the Petauke district.<br />
Of the 197 households, 67 were determined on the basis of the 1985/86 survey, <strong>and</strong> the remaining<br />
130 were selected through r<strong>and</strong>om sampling specifically for the 2003 survey in order<br />
to generate more material for the analyses. There were some differences between the two<br />
groups. The former group had older household heads <strong>and</strong> thus a more mature family structure<br />
with more adults <strong>and</strong> a lower dependency ratio 30 , while the latter had smaller amounts of<br />
cultivated l<strong>and</strong>, higher proportions of non-farm income <strong>and</strong> fewer valuable assets. This suggests<br />
that the households taking part in the 1985/86 survey <strong>and</strong> still active in 2003 differed in<br />
some characteristics from those that had stopped farming <strong>and</strong> were replaced by new households<br />
in the survey through the sampling process. The differences between the active households<br />
<strong>and</strong> those that stopped farming are discussed in Chapter 6.2.1.<br />
28 The 2003 survey collected data on farm income originating from the sale of produce from the 2001/2002<br />
agricultural year (starting in May 2002, ending in April 2003) <strong>and</strong> non-farm income generated during the same<br />
period of time.<br />
29 The total income of these households was the mean plus seven st<strong>and</strong>ard deviations. There were obviously<br />
coding errors in the data but it was impossible to return afterwards <strong>and</strong> check the information provided by the<br />
respondents.<br />
30 Dependency ratio=number of children/number of adults<br />
73