Optimal rotation age (ORA) Dynamic optimization problem Long discussed in economic literature Shorter rotation – benefit arrives earlier – earlier replanting.

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Presentation transcript:

Optimal rotation age (ORA) Dynamic optimization problem Long discussed in economic literature Shorter rotation – benefit arrives earlier – earlier replanting opportunity – planting more frequent – timber yield is lower

Forest scientist's ORA doesn't like cutting down trees … Maximizes sustained gross yield Solution

"Economic" forest scientist's ORA takes into account planting cost maximizes sustained net yield Solution

Forest economists' ORA Maximize profit Economic Literature: – Maximizing present discounted value over one cycle (Von Thünen, Irving Fisher) – Maximizing internal rate of return (Boulding) – Maximizing present discounted value over infinite cycles

Max NPV over 1 Period

Max Internal Rate of Return

Max NPV over all Periods

Optimal Rotation Age T i < T  < T 1 < T g < T n

ORA - Assumptions future prices, wages, interest rates are known future technologies (yields, input requirements) are known growth rate initially increasing later decreasing (I.e. cubic growth function)

ORA - Example f (t) = b*t^2 + a*t^3 a = -1/800 b = 0.2 W[age] = 16 L[abor] = 25 P[rice] = 20 r = 0.06 = 6%

Growth Function f (t) = 0.2 t 2 - 1/800 t 3 Timber f(t) Time (t)

Maximization CriterionOptimal Rotation Age Gross sustainable yield80.00 Net sustainable yield81.21 Net present value of one period Net present value of all periods Internal rate of returns26.94 ORA Example, Results (see Mathematika output)