Two-Part Tax Controls for Forest Density and Rotation Time



forever. Initially, the land is bare with timber production as its only use. The landowner chooses
the rotation period
T to maximize the following private value function:

V (T) = G(T)e τ                                         (1)

1 -e -rT

where G(T) is the net timber value of the stand at time T. The numerator is the present net
value of the stand that will be harvested at
T . The denominator is simply the result of summing
over an infinite series of identical rotations.

Taking the derivative with respect to the rotation length and rearranging, the following first
order condition is derived:

G (T) =   r

(2)


G (T)   1 - e -rT

where the left hand side of the equation is the growth rate of the forest in terms of net value. So
a rational landowner will cut down all the trees and replant when the growth rate equals the
interest rate multiplied by a discount factor.

Hartman: Forest Planner Problem, Externalities Included

Following Hartman (1976), an externalities function that varies with the age of the forest is
introduced into the forest planner’s problem. The social value (
SV) function can now be written

The trees that are not part of the commercial use portion of each acre will never be harvested.



More intriguing information

1. Empirical Calibration of a Least-Cost Conservation Reserve Program
2. The Importance of Global Shocks for National Policymakers: Rising Challenges for Central Banks
3. Portuguese Women in Science and Technology (S&T): Some Gender Features Behind MSc. and PhD. Achievement
4. PACKAGING: A KEY ELEMENT IN ADDED VALUE
5. Optimal Private and Public Harvesting under Spatial and Temporal Interdependence
6. Hemmnisse für die Vernetzungen von Wissenschaft und Wirtschaft abbauen
7. Party Groups and Policy Positions in the European Parliament
8. Rural-Urban Economic Disparities among China’s Elderly
9. Personal Experience: A Most Vicious and Limited Circle!? On the Role of Entrepreneurial Experience for Firm Survival
10. Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities