Profit Maximization under Perfect Competition

Yes! If MC > MR, they have already found too many mangoes for the day.
Phillip sells mangoes in a large city, operating in a highly competitive market. Every day his small group of employees go and gather mangoes from trees outside the city, and one employee stands at the booth ready to sell what is found.
To summarize: [[summary]]
Phillip faces a perfectly elastic demand curve at a price dictated by the market, of course. ![](data:image/png;base64,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 "")
Since this is the demand curve Phillip faces, think about his marginal revenue for a moment. Every time that Phillip sells a mango, what do you think his marginal revenue (MR) will be?
Absolutely! The price is the same whether he sells one mango or 100. So every time he sells a mango, he gets the same market price. So for perfectly competitive firms, P = MR.
No, that would be the case for a downward-sloping demand curve, but not for a perfectly elastic demand curve.
No, the costs facing the firm are a separate issue; they don't affect marginal revenue at all. Just think about what he can expect when selling one more mango.
Once you then add in his marginal cost curve, which probably looks like a lot of other marginal cost curves, you'll have this: ![](data:image/png;base64,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 "")
How might you justify an upward-sloping marginal cost curve for Phillip's mango business?
No, marginal cost isn't the same as average total costs; this statement refers to ATC declining, not MC increasing.
No, recall that Phillip is operating as a perfect competitor. He can't choose price, and price is separate from costs anyway.
Exactly! The harder they have to look, the higher cost _does_ go for each mango. Time is money.
Profit maximization occurs where marginal revenue equals marginal cost, so every firm will want to find that point of MR = MC. For Phillip, what would you recommend he should do if he finds that MC > MR?
No, Phillip has no market power and can't choose price.
No, think about the fact that marginal cost is an increasing function of quantity. If his team finds more mangoes, these mangoes will also cost more than what he will receive when he sells them.
Of course, that can change if something changes in the market. For example, perhaps demand for mangoes will increase. That will raise the market price and shift that horizontal demand curve facing Phillip upwards. Then his optimal quantity will be larger. Also, notice that profit maximization is the same as loss minimization. If Phillip's average total cost (ATC) curve is above the market price, he'll earn a loss; there's no way around that. But at least choosing the optimal quantity will minimize this loss, which is the same thing as maximizing a negative profit. Same idea at the end of the day: MR = MC.
The market price
Something below the market price
It depends on the cost curves facing the firm at his output level.
At a higher level of output, total costs are divided by a larger number of mangoes.
As more and more mangoes are sold, Phillip will decide to charge higher and higher prices.
As Phillip's employees go out to get more and more mangoes, they have to look harder and travel farther.
Increase price
Find more mangoes
Find fewer mangoes
Continue
Continue
Continue
Continue

The quickest way to get your CFA® charter

Adaptive learning technology

10000+ practice questions

10 simulation exams

Industry-Leading Pass Insurance

Save 100+ hours of your life

Tablet device with “CFA® Exam | Bloomberg Exam Prep” app