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chainsaw milling and lumber trade in west africa project

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• To identify the factors that expla<strong>in</strong> efficiency, access to resources (what else?)• To identify factors that could make <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> more appropriate (socially, economically,ecologically)• [this is supposed to be done as a comparison with large scale operations – we need to be clearabout what data are available for the large scale operations so that we can structure this part ofthe research to facilitate a comparison]MethodsExperimental DesignThis research will be based on semi-structured <strong>in</strong>terviews with <strong>in</strong>dividuals with<strong>in</strong> <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> firms.The firms <strong>in</strong>cluded <strong>in</strong> the sample will be selected to <strong>in</strong>clude variability <strong>in</strong> access to forest resources(<strong>west</strong>ern, central, eastern region?), variability <strong>in</strong> the size of the firms or the scale of their operations(small, medium, large?), ……….. what else?How will we determ<strong>in</strong>e what is an adequate sample size here? Are there key variables that we can useto generate confidence <strong>in</strong>tervals <strong>and</strong> st<strong>and</strong>ard errors <strong>and</strong> set ourselves a target ratio of st<strong>and</strong>ard errorto mean?The questionnaires /semi-structured <strong>in</strong>terviews will be used to solicit <strong>in</strong>formation on• Attributes of the firm – number of mach<strong>in</strong>es (types, age, serviceability), transport vehicles,number of employees (permanent, casual, from where), how long have they been <strong>in</strong> thebus<strong>in</strong>ess, what did they do previously, how did they get started, what was the source of capitalfor <strong>in</strong>vestment (is there still an external source of support?), part of an association?, how wellconnected to other firms is this one? (<strong>in</strong>dication of strength of network?), competition?• Attributes of the resource that they rely on – where do they get their trees, how do they selectthem? What species <strong>and</strong> sizes are typically taken? How frequently is your work <strong>in</strong>terrupted bylack of access of trees? Has access to trees changed much over time? What has beenresponsible for the change?• Costs <strong>and</strong> Benefits – wages for various employees (is it paid daily, per volume?), how manydays <strong>in</strong> a month are the various people employed? (some measure of variability, orconsistency?), mach<strong>in</strong>e costs (runn<strong>in</strong>g, ma<strong>in</strong>tenance costs, . . . who bears these costs?),transport costs (estimate on a volume basis?), what are typical extraction costs (per volume?),what <strong>in</strong>fluences extraction costs? Where do you sell your product? What is a typical payment?(what is the variability <strong>in</strong> payments?), what do you pay <strong>in</strong> f<strong>in</strong>es, sweeteners?• Attitudes / Attributes of the manager/owner – political connectedness, experience withregulation, police, f<strong>in</strong>es• Conditions necessary to make <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> appropriateData AnalysisPART THREE – Operational efficiency <strong>and</strong> environmental impactsAim <strong>and</strong> objectives• To characterise the operation efficiency <strong>and</strong> environmental impacts of <strong>cha<strong>in</strong>saw</strong> <strong>mill<strong>in</strong>g</strong> by smalloperators• To compare the efficiency <strong>and</strong> impacts with those of large scale operationsMethodsCha<strong>in</strong>saw millers will be selected <strong>in</strong> a stratified way, where the strata will reflect the forestresource; for convenience, the strata to be used will be <strong>west</strong>ern, central, <strong>and</strong> eastern region. Weanticipate that it will be difficult to r<strong>and</strong>omize our selection of <strong>cha<strong>in</strong>saw</strong> millers, however to ensure thatour sample is unbiased <strong>and</strong> representative, we will identify potential millers <strong>in</strong> each region dur<strong>in</strong>g the<strong>in</strong>terviews conducted <strong>in</strong> parts one <strong>and</strong> two of the study. From this group of potential millers, we willr<strong>and</strong>omly select a m<strong>in</strong>imum of 15. There may be a need to <strong>in</strong>troduce another layer of stratification toensure that the sample <strong>in</strong>cludes a sample representative of different levels of experience typical <strong>in</strong> thebus<strong>in</strong>ess.

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