Modeling the impact of mine and Country variations on the cash-cost and country-benefit of gold mining
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Date
2012
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University of Dar es Salaam
Abstract
There is no specific study conducted on the mathematical modeling of the cash-cost and country-benefit fit on the mine and country variations of gold mining worldwide to enable justification of country regimes as well as the selection of investment targets. The main aim of this study was therefore to develop mathematical models of cash-cost and country-benefit fit on the mine and country variations of gold mining worldwide to enable justification of country regimes as well as selection of investment targets. Multiple linear regression analysis using SPSS was used to generate the two models, cash-cost and country-benefit using a sample of 160 gold mines selected from the top 19 gold rich countries covering a period of 7 years from 2002 to 2008. Observational research was the main approach used to collect data of all variables including cash-cost and country-benefit as well as mine and country variations. The results of variable effects of mine and country variation on the cash-cost and country-benefit effect of gold mining obtained from the models indicated that gold mines and countries competing for gold mining investments worldwide can be arranged in four categories I, II, III & IV providing different possibilities for generation of solutions. The examined country Tanzania was in Category II characterized by high cash-costs and low country-benefits. Under this category, Tanzania can regulate its country regime such as environmental regulation deterrence and regulatory duplication and inconsistencies deterrence to the desired levels to realize substantial potential cash-cost savings enabling Tanzania to increase its in rem taxes in order to increase its country-benefits.
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Available in print form
Keywords
Gold mines and mining, Costs, Tanzania
Citation
Baruti, K.R(2012), Modeling the impact of mine and Country variations on the cash-cost and country-benefit of gold mining, master dissertation, University of Dar es Salaam (available at http://41.86.178.3/internetserver3.1.2/detail.aspx)