2 resultados para Resource-Based View

em Digital Commons - Michigan Tech


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Job seekers in resource-based economic settings like the Keweenaw Peninsula in Upper Michigan and the Nickel Basin surrounding Sudbury, Ontario faced many challenges, from the dangers of the job to corporate domination to the “boom and bust” nature of inevitably limited supplies of even “endless” natural riches. Adding to these many challenges in both settings was the employer view that you were best suited to certain tasks. This paper examines these expectations from “both” ends – how and why did employers see matters this way, and what did the “recipients” make of being cast in certain roles ? Did the newcomers also expect to earn their keep from a limited range of options ? While the last word on this issue awaits a much larger study, even a glance can inform both the scholar of resource settings and the ethnic historian about an important element of resource-based economies. This paper, then, examines the links between stereotype, preference, and necessity – to what extent did local populations fight, appreciate or succumb to expectation when “making a living.” As the title suggests, Finns get significant attention, as befits both settings under study. However, the paper looks to similar trends amongst a broad demographic swathe in each setting. Was “who” you were the crucial element in finding sustenance ? “Ethnic”, Aboriginal, or “established settler society” – what factors shaped economic expectations, choices and roles?

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Bioenergy and biobased products offer new opportunities for strengthening rural economies, enhancing environmental health, and providing a secure energy future. Realizing these benefits will require the development of many different biobased products and biobased production systems. The biomass feedstocks that will enable such development must be sustainable, widely available across many different regions, and compatible with industry requirements. The purpose of this research is to develop an economic model that will help decision makers identify the optimal size of a forest resource based biofuel production facility. The model must be applicable to decision makers anywhere, though the modeled case analysis will focus on a specific region; the Upper Peninsula (U.P.) of Michigan. This work will illustrate that several factors influence the optimal facility size. Further, this effort will reveal that the location of the facility does affect size. The results of the research show that an optimal facility size can be determined for a given location and are based on variables including forest biomass availability, transportation cost rate, and economy of scale factors. These variables acting alone and interacting together can influence the optimal size and the decision of where to locate the biofuel production facility. Further, adjustments to model variables like biomass resource and storage costs have no effect on facility size, but do affect the unit cost of the biofuel produced.