Question

In: Economics

Suppose it costs $36 for each lobster trap set. Lobsters sell for $12. If X traps...

Suppose it costs $36 for each lobster trap set. Lobsters sell for $12. If X traps are set, the harvest rate of lobsters, L, as a function of the number of traps, is given by:

L=42X - X^2

a. With no restrictions (competitive markets exist) on the number of traps, and open access to the waters, how many traps will be set? How many lobsters will be harvested? How much profit will be realized from lobstering?

b. Suppose lobstermen could limit the number of traps permitted. How many traps should be permitted, if Australia wanted to maximize overall profits from lobstering? How many lobsters would be harvested? What would total profits be from lobstering? Note– prices are fixed at $12

Solutions

Expert Solution

So, here the price of lobster is “$12” and the price of lobster trap is “$36”, => the profit function is give by.

=> A = 12*L - 36*x, => A = 12*(42*x-x^2) - 36*x, => A = 504*x - 12*x^2 - 36*x = 468*x - 12*x^2.

=> A = 468*x - 12*x^2, => the FOC require “dA/dx=0”, => 468 - 24*x = 0, => x = 468/24 = 19.5. So, the optimum number of lobster trap is “x=19.5”, => L = 42*x-x^2 = 42*19.5 – 19.5^2 = 438.75 = 439 = L.

So, the optimum numbers of lobsters harvested is “L*= 439”.

=> A = 468*x - 12*x^2 = 468*19.5 - 12*19.5x^2 = 4,563, => “A* = 4,563”.

b).

Now, let’s assume that there are “N” lobsterman, => the new profit function is given by.

=> A = 12*N*L - 36*x = 12*N*L - 36*x, => A = 12*N*(42*x - x^2) - 36*x.

A = 504*N*x – 12*N*x^2 - 36*x, => FOC require “dA/dx=0”.

=> 504*N - 24*N*x – 36 = 0, => x = (504*N – 36)/24N = (126*N – 9)/6N = (42*N – 3)/2N.

=> x = 21 – 3/2N, be the optimum level of trap. So, the total lobster harvested is “N*L”.

=> NL = N*(42*x - x^2) = 42N*x – N*x^2, => NL = 42N*(21- 3/2N) – N*(21- 3/2N)^2.

=> NL = (882*N- 63) – N*(21- 3/2N)^2 = 838N-9/4N, be the optimum level of harvesting.

Now, the total profit is given by.

=> A = 12*NL – 36*x = 12*(383*N-9/4N) – 36*(21-3/2N) = (4,596*N-36/N) – (756-54/N).

=> A= 4,596*N - 36/N - 756 + 54/N = 4,596*N - 756 + 18/N = A, be the optimum profit.


Related Solutions

Consider two lobster fishermen from Maine. Each has to decide, independently, how many traps to set....
Consider two lobster fishermen from Maine. Each has to decide, independently, how many traps to set. Each can set either 5 or 15 traps. The more traps one fisherman sets, the higher the cost of fishing for the other. Their earnings for each combination are in the table below. The first number in parentheses is the payoff for Fisherman A. Fisherman B 15 Traps 5 Traps Fisherman A 15 Traps ($6, $6) ($14, $3) 5 Traps ($3, $14) ($12, $12)...
Suppose x has a distribution with a mean of 90 and a standard deviation of 36....
Suppose x has a distribution with a mean of 90 and a standard deviation of 36. Random samples of size n = 64 are drawn. (a) Describe the x-bar distribution and compute the mean and standard deviation of the distribution. x-bar has _____ (an approximately normal, a binomial, an unknown, a normal, a Poisson, a geometric) distribution with mean μx-bar = _____ and standard deviation σx-bar = _____ . (b) Find the z value corresponding to x-bar = 99. z...
Set x = 4.25, y = 3.54, and z = 6.77 and suppose that δ(x) =...
Set x = 4.25, y = 3.54, and z = 6.77 and suppose that δ(x) = δ(y) = δ(z) = 0.002. Bound the error of the following expressions. (a) y+ x2−xy+y/z (b) (x−y)e(x+y) (c) cos(x)∗cos(y) +2sin(x)∗sin(y) (d) find relative error bound for expression (a)
Suppose that a sample of 36 brand X tires has a sample mean life of 54000...
Suppose that a sample of 36 brand X tires has a sample mean life of 54000 miles and a sample standard deviation of 6000 miles, while a sample of 36 brand Y tires produces a sample mean of 60000 miles and a sample standard deviation of 9000 miles. 3. The company manufacturing the brand Y tires claims that their tires last longer than the brand X tires, on average. Is there enough evidence, at significance level ? = 0.05, to...
Suppose x has a normal distribution with mean μ = 36 and standard deviation σ =...
Suppose x has a normal distribution with mean μ = 36 and standard deviation σ = 5. Describe the distribution of x values for sample size n = 4. (Round σx to two decimal places.) μx = σx = Describe the distribution of x values for sample size n = 16. (Round σx to two decimal places.) μx = σx = Describe the distribution of x values for sample size n = 100. (Round σx to two decimal places.) μx...
Each unit of good X costs $2, and each unit of good Y costs $2. The...
Each unit of good X costs $2, and each unit of good Y costs $2. The following table contains information on Felix’s utility from goods X and Y. Units of Good X Total Utility of Good X Units of Good Y Total Utility of Good Y (Utils) (Utils) 1 28 1 22 2 54 2 40 3 78 3 52 4 100 4 60 5 120 5 64 Suppose Felix spends a total of $10 on good X and good...
Suppose x has a distribution with μ = 12 and σ = 8. (a) If a...
Suppose x has a distribution with μ = 12 and σ = 8. (a) If a random sample of size n = 33 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx to two decimal places and the probability to four decimal places.) μx = σx = P(12 ≤ x ≤ 14) = (b) If a random sample of size n = 61 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx...
Suppose x has a distribution with μ = 12 and σ = 9. A.) If a...
Suppose x has a distribution with μ = 12 and σ = 9. A.) If a random sample of size n = 35 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx to two decimal places and the probability to three decimal places.) P(12 ≤ x ≤ 14)= B.) If a random sample of size n = 62 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx to two decimal places and...
Suppose x has a distribution with μ = 12 and σ = 7. (a) If a...
Suppose x has a distribution with μ = 12 and σ = 7. (a) If a random sample of size n = 31 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx to two decimal places and the probability to four decimal places.) μx = σx = P(12 ≤ x ≤ 14) = (b) If a random sample of size n = 75 is drawn, find μx, σx and P(12 ≤ x ≤ 14). (Round σx...
Suppose x has a distribution with μ = 17 and σ = 12. (a) If a...
Suppose x has a distribution with μ = 17 and σ = 12. (a) If a random sample of size n = 33 is drawn, find μx, σx and P(17 ≤ x ≤ 19). (Round σx to two decimal places and the probability to four decimal places.) P(17 ≤ x ≤ 19) = (b) If a random sample of size n = 71 is drawn, find μx, σx and P(17 ≤ x ≤ 19). (Round σx to two decimal places...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT