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chainsaw milling and lumber trade in west africa project

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Protocols for Field ResearchBROAD AIMS• To assess how social, environmental <strong>and</strong> economic costs <strong>and</strong> benefits are distributed <strong>in</strong>relation to <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> as compared with large scale logg<strong>in</strong>g <strong>and</strong> <strong>mill<strong>in</strong>g</strong> operations;• To determ<strong>in</strong>e under what conditions <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> is appropriate <strong>and</strong> to contribute to thedef<strong>in</strong>ition of the desired statePart One – rural household costs <strong>and</strong> benefitsPart Two – <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> firms costs <strong>and</strong> benefitsPart Three – <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> economic analysis, efficiency <strong>and</strong> environmental impactsPart Four – market analysis – production <strong>and</strong> consumption statisticsPART ONE – Rural householdsAim <strong>and</strong> objectives• To identify the costs <strong>and</strong> benefits to households <strong>in</strong> rural communities <strong>in</strong> the forest zone oflogg<strong>in</strong>g <strong>and</strong> <strong>lumber</strong><strong>in</strong>g activities <strong>and</strong> to compare small scale, <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> operations <strong>and</strong>large scale, <strong>in</strong>dustrial operations;• To characterise the extent of activity <strong>in</strong> <strong>and</strong> economic reliance on logg<strong>in</strong>g <strong>and</strong> <strong>lumber</strong><strong>in</strong>g <strong>in</strong>households <strong>in</strong> various communities <strong>in</strong> the forest zone;• To determ<strong>in</strong>e associations between household activity <strong>and</strong> economic reliance on logg<strong>in</strong>g <strong>and</strong><strong>lumber</strong><strong>in</strong>g <strong>and</strong> physical <strong>and</strong> non-physical assets of households <strong>and</strong> the attributes of thecommunity <strong>in</strong> which they liveoohousehold demography; past experience; social status?resource quality; attitudes of the chief, district assemblyman, forestry agents <strong>and</strong> othermembers of the community towards forest protection <strong>and</strong> management; awareness ofrights related to forest resources; experience with regulatory system (e.g., permits,compensation claims); distance / access to local timber market• To identify the attributes of the households that are most reliant on <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> for theirlivelihoods• Will we also be able to identify what attributes of communities / villages make them more relianton <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong>? If we have 9 communities, maybe it will be enough?Method - Experimental DesignThis research will be based on semi-structured <strong>in</strong>terviews with members of households <strong>in</strong> the forestzone. The households will be selected from focal communities us<strong>in</strong>g a stratified r<strong>and</strong>om sampl<strong>in</strong>gstrategy, where strata are based on household asset hold<strong>in</strong>gs (wealthy, middle, poor) determ<strong>in</strong>ed us<strong>in</strong>gRapid Appraisal Techniques or key <strong>in</strong>formants <strong>and</strong> the sample is distributed across the three strata.The focal communities will be selected to represent the variability amongst communities <strong>in</strong> the forestzone, particularly <strong>in</strong> relation to the level of logg<strong>in</strong>g <strong>and</strong> <strong>mill<strong>in</strong>g</strong> activity (both small, i.e., <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong>,<strong>and</strong> large scale). In select<strong>in</strong>g focal communities for the study, the follow<strong>in</strong>g variables will be taken <strong>in</strong>toaccount because they are thought to <strong>in</strong>fluence the prevalence <strong>and</strong> profitability of <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong>:• Status of the foresto protected, managed by the FC, managed by Community, farml<strong>and</strong>• Resource endowment or forest qualityo High, moderately degraded, degradedo Western Region, Central Region, Eastern Region• Presence / absence or degree of threats to forest by outside forceso For example, presence of migrant farmers• Presence / absence of a large mill nearby• Variability <strong>in</strong> the accessibility of market sell<strong>in</strong>g to local marketIf the expectation is that the research results are generally applicability to communities across the forestzone (or the region <strong>in</strong> which they are located) it is important that the communities selected arerepresentative. By identify<strong>in</strong>g the associations between variables that describe the household <strong>and</strong> thecommunity where the household is based we should be able to describe the factors that best expla<strong>in</strong>

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