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Poverty Dimensions of Public Governance and Forest Management ...

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67<br />

The statistics used here were simple descriptive measures <strong>of</strong> percentages for different clusters. A<br />

case study approach was used to explore production relationships in different settlements , with<br />

different ecologies, different production systems <strong>and</strong> different histories <strong>of</strong> integration into<br />

markets <strong>and</strong> policy frameworks. The approach was not based on the search for ‘typical’<br />

conditions but rather contrasting conditions <strong>and</strong> different cases. The primary concern was with<br />

underst<strong>and</strong>ing variability. Therefore only the most limited significance should be attached to<br />

averages <strong>and</strong> related statistics. Qualitative research consisted <strong>of</strong> informal case studies <strong>of</strong><br />

experiences <strong>of</strong> particular farmers <strong>and</strong> individuals, <strong>and</strong> explanations <strong>of</strong> the differences between<br />

settlements by farmers. The findings <strong>of</strong> the quantitative data were taken back to settlements <strong>and</strong><br />

discussed with groups <strong>of</strong> farmers for explanation.<br />

The aim was to gain samples <strong>of</strong> youth, women, men, indigenes <strong>and</strong> migrants, which would enable<br />

different experiences to be collated rather than gain ‘representative sample’ <strong>of</strong> village<br />

populations. ‘Migrants’ proved particularly problematic, since this is a highly differentiated<br />

category, which includes local as well as long distance migrants. 12<br />

The research has not been in a position to disaggregate different groups according to various<br />

st<strong>and</strong>ards <strong>of</strong> social differentiation. The current fashion <strong>of</strong> differentiating rural populations into<br />

‘the poor’, ‘very poor’ <strong>and</strong> ‘non-poor’ has not been followed, as the data decomposes in different<br />

ways. Arguably, however, such an approach would do little to advance underst<strong>and</strong>ing <strong>of</strong><br />

processes <strong>of</strong> social differentiation, particularly in a context such as this where labour markets are<br />

complex, both socially <strong>and</strong> occupationally, <strong>and</strong> subject to life cycle influences. Migrant labour in<br />

West Africa is highly differentiated <strong>and</strong> <strong>of</strong>ten constituted by mobile labour networks. Within<br />

these networks, labour contractors <strong>and</strong> migrant farm owners form an upper echelon <strong>of</strong> successful<br />

migrants who then move into petty trading, transport etc., while the lower echelon is made up <strong>of</strong><br />

recent migrants who are usually youths taking up their first labour contracts. While differences<br />

did appear in the present study as regards male <strong>and</strong> female farming strategies, there was no clear<br />

trend for migrants or specific groups <strong>of</strong> migrants originating from particular areas. Thus, the<br />

report is not able to specify particular social groupings <strong>of</strong> ‘the poor’, though it does show<br />

processes <strong>and</strong> pressures which bring about social differentiation. This helps us underst<strong>and</strong><br />

different farming strategies <strong>and</strong> pressures on farmers in the Brong Ahafo. The approach can then<br />

12 Problems were also caused by the unwillingness to identify young adult <strong>and</strong> adolescent men as farm<br />

workers (they were seen as too young to be so classed). This has been identified as an issue for further<br />

deliberation in the full study.<br />

67

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