1 Water retention. A farmer has the option to add water retention agents into the soil before olanting crops. The final yield depends on the amount of rain that falls over the growing season. The farmer may choose to not add any agents to the soil in which case the crop yield (in tonnes) s estimated to be 4+0.3r, where r is the total millimetres of rainfall over the growing season. The crop can then be sold as organic produce at $1.5k per tonne. Alternatively, the farmer can add a water retention agent at a cost of $15k. With the water retention agent the crop yield (in tonnes) is estimated to be 10+0.5r. However, the crop cannot be sold as organic produce in this case and only sells at $1.2k per tonne. (a) Write down the utility function R(D, X) which maps the outcomes to the total profit made from the crops. (b) Use a break-even analysis to determine the amount of rain for which the optimal decision differs above and below this amount. Plot R(D, X), mark clearly where the break-even point occurs, then briefly describe the best decision either side of this point. (c) Supposing the national weather service predicts 80mm of rain over the growing season, what should the farmer do? How much more profit can the farmer expect compared to the alternative decision?
1 Water retention. A farmer has the option to add water retention agents into the soil before olanting crops. The final yield depends on the amount of rain that falls over the growing season. The farmer may choose to not add any agents to the soil in which case the crop yield (in tonnes) s estimated to be 4+0.3r, where r is the total millimetres of rainfall over the growing season. The crop can then be sold as organic produce at $1.5k per tonne. Alternatively, the farmer can add a water retention agent at a cost of $15k. With the water retention agent the crop yield (in tonnes) is estimated to be 10+0.5r. However, the crop cannot be sold as organic produce in this case and only sells at $1.2k per tonne. (a) Write down the utility function R(D, X) which maps the outcomes to the total profit made from the crops. (b) Use a break-even analysis to determine the amount of rain for which the optimal decision differs above and below this amount. Plot R(D, X), mark clearly where the break-even point occurs, then briefly describe the best decision either side of this point. (c) Supposing the national weather service predicts 80mm of rain over the growing season, what should the farmer do? How much more profit can the farmer expect compared to the alternative decision?
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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