Question One Let \( x_{1} \) be the food consumption of a household, and \( x_{2} \) be the consumption of clothes. The utility preferences of this household can be represented as \( U\left(x_{1}, x_{2}\right)=3 \ln x_{1}+5 \ln x_{2} \). Additionally, this household faces the unit price for \( x_{1} \) which is 10 Tsh and unit price for \( x_{2} \) which is 4 Tsh. Determine the Marshallian demands of each good considering a budget of Tsh 100 . Question Two The Government of the United Republic of Tanzania (URT) is now implementing Second, third and fourth Phases of its Bus Rapid Transport (BRT) Project in Dar es Salaam. The second phase of Bus Rapid Transit in Tanzania commute from Gerezani-Kariakoo to Mbagala-Rangitatu. The third phase run from Kariakoo to Gongo la Mboto while the fourth phase runs from Morocco to Tegeta. It was found that, at current prices the Price Elasticity of Demand for Commuter Services at peak hours in 0.6 and the Price Elasticity of demand during off-peak services is 4.0 . Assuming the company that operates Buss Rapid Transport (BRT) wishes to increase its revenue. As an expert of economics, what price changes and why would you recommend to this company for: a) Peak-time commuter services b) Off-peak services
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For the household's utility function \( U(x_1, x_2) = 3 \ln x_1 + 5 \ln x_2 \) and given the prices of \( x_1 \) and \( x_2 \), we need to use the budget constraint \( 10x_1 + 4x_2 = 100 \). By maximizing utility subject to this constraint, we can derive the Marshallian demands. Setting the ratio of the marginal utilities equal to the price ratio gives us insights into optimal consumption. After calculations, we find that \( x_1 = 5 \) and \( x_2 = 20 \) when the budget is allocated effectively. When it comes to the BRT price elasticity scenario, for peak-hour services (elasticity = 0.6), prices can be increased. Demand is inelastic, meaning higher prices won't significantly reduce consumption, boosting revenue. In contrast, for off-peak services (elasticity = 4.0), prices should be decreased to attract more riders, as demand is elastic, and a small price drop can result in a significant increase in quantity demanded, thus increasing total revenue.