2 resultados para Lafond, Cte

em Digital Commons - Michigan Tech


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In 2002, motivated largely by the uncontested belief that the private sector would operate more efficiently than the government, the government of Cameroon initiated a major effort to privatize some of Cameroon’s largest, state-run industries. One of the economic sectors affected by this privatization was tea production. In October 2002, the Cameroon Tea Estate (CTE), a privately owned, tea-cultivating organization, bought the Tole Tea Estate from the Cameroon Development Corporation (CDC), a government-owned entity. This led to an increase in the quantity of tea production; however, the government and CTE management appear not to have fully considered the risks of privatization. Using classical rhetorical theory, Richard Weaver’s conception of “god terms” (or “uncontested terms”), and John Ikerd’s ethical approach to risk communication, this study examines risks to which Tole Tea Estate workers were exposed and explores rhetorical strategies that workers employed in expressing their discontent. Sources for this study include online newspapers, which were selected on the basis of their reputation and popularity in Cameroon. Analysis of the data shows that, as a consequence of privatization, Tole Tea Estate workers were exposed to three basic risks: marginalization, unfulfilled promises, and poor working conditions. Workers’ reactions to these risks tended to grow more emotional as management appeared to ignore their demands. The study recommends that respect for labor law, constructive dialogue among stakeholders, and transparency might serve as guiding principles in responding to the politics of privatization in developing countries.

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Global climate change is predicted to have impacts on the frequency and severity of flood events. In this study, output from Global Circulation Models (GCMs) for a range of possible future climate scenarios was used to force hydrologic models for four case study watersheds built using the Soil and Water Assessment Tool (SWAT). GCM output was applied with either the "delta change" method or a bias correction. Potential changes in flood risk are assessed based on modeling results and possible relationships to watershed characteristics. Differences in model outputs when using the two different methods of adjusting GCM output are also compared. Preliminary results indicate that watersheds exhibiting higher proportions of runoff in streamflow are more vulnerable to changes in flood risk. The delta change method appears to be more useful when simulating extreme events as it better preserves daily climate variability as opposed to using bias corrected GCM output.