| Likewise, to be consequent all payments of the cash flow within the t-year period have to be made at the end of their respective time units[15], in forestry usually years, and with some tropical forest investments the opportunity cost should be accounted in months.
Efficiency Criteria for Investment Analysis in Forestry
Practitioner forest economist and managers plan for investments using capital budgeting techniques. Capital budgeting is that branch of applied economics that involves decisions with respect to how money is invested in forestry projects, which usually require investment capital, followed by further production costs in order to receive incomes in later years[16]. Capital budgeting deals with ranking alternative projects in order to find investment alternatives for the same asset, which can maximize its value. Five criteria are mainly used for ranking projects: Net Present Value, Land Expectation Value, Benefit Cost Ratio, Payback Period, and Internal Rate of Return.
The Net Present Value (NPV), also known as Net Discounted Value (NDV) or Net Present Worth (NPW), of an investment is the present value of its revenues minus the present value of its costs where T is the horizon of the investment. NPV considers the benefits and costs over the entire span of the project. According to the decision rule of the NPV, an investment is acceptable if the NPV ³ 0[17]. A remark about this criterion is that it is difficult to interpret which one is more profitable for investments with different scales.
The Land Expectation Value (LEV) is the maximum an investor can invest in the land asset and still earn the MAR on the invested capital. The decision criterion is to accept the investment if the LEV ³ the land market price or the calculated LEV for an alternative land-use investment on the same piece of land[18]. This criterion is used for land base investments; however, it could be adapted for other types of assets.
The Benefit/Cost Ratio (B/C), also called the profitability index, is the present value of revenues divided by the present value of costs using the investment’s MAR. The decision rule states that an investment is accepted if the B/C ³ 1[19]
The Payback Period is a method that identifies the period in which the capital invested in the project is recovered directly from the benefits produced within this period. The project with the shortest payback period is selected. However, the main critic of this method is that benefits and cost occurring after the payback period are ignored. The payback period is not an investment efficiency criterion, but a financial one because it does not consider the value in the present but how to solve cash availability in the shortest time. This criterion should be used in relation to the NPV and the LEV criteria[20].
The Internal Rate of Return (IRR) is the interest rate at which the present value of revenues equals the present value of costs. The IRR decision rule accepts a project if the IRR ³ investment’s MAR. There are several technical and theoretical problems with the use of the IRR. The first one is that the IRR is more difficult to calculate, the second is the multiple roots problem and the assumption with respect to reinvestment and additional investment[21]. Moreover, the IRR differ from the NPV or the LEV decision criteria in that the IRR is an average rate while the others are marginal rates in respect to T.
A drawback for using the NPV and all the other derived techniques (B/C, IRR, PBP) is that they do not take into account the opportunity cost of the asset value, and only use the derived cash flow throughout the investment horizon. Thus, the LEV model is a stronger investment criterion because it takes into account the asset by considering the cash flow horizon in perpetuity. Moreover, some of the techniques presented are not real investment criteria but financial criteria.
Choice of the Discount Rate in Forest Economics
The choice of the discount rate in investment analysis is one of the most important problems in investment analysis because the discount rate considerably affects the magnitude of the calculated value. Moreover, its impact is specially noticed in long-term projects, which requires large initial investment spending such as in forestry. Thus, it is very important to make the right selection because it is also a subjective descriptor of the investor’s unique characteristics in respect to the type of investment, individual preference of present, and particular budget level, etc.
In addition, forest investments, which have especially long horizons, have an interesting characteristic. They have an inter generational distribution aspect in which the income is redistributed among different generations. When the felling takes place today, the present generation receives the benefits of a forest investment that was made by earlier generations long ago; likewise, when planting takes place today, the benefits that result will be obtained by future generations. Any model that uses discounting analysis (NPV, C/B or LEV) results in a discrimination of the future generations because multiplying distant costs and revenues from the future by a discount factor reduces the quantities to insignificant figures.
The higher the discount rates, the smaller the amount over a shorter period of time; thus, reducing the present value of future benefits and cost to practically nothing[22]. However, investment models that use discounting are unlikely to determine a real value from long horizon investments, rather they are models that allow us to rank projects or make management decisions such as the optimal time to harvest a forest product. The choice of the discount rate not only determines whether a project is accepted or not, it also affects the optimal rotation, and the ranking of the projects. Forestry is very sensitive to the discount rate chosen for the analysis that projects the time preference of the intergenerational investor.
What should be the discount rate used for private forestry investments? In this case, the question of the discount rate is related to the cost of capital, and whether capital rationing is a problem or not. When capital rationing is used, the interest rate should reflect the internal opportunity cost of the forgone alternative investment[23]. Often the next investment opportunity will give a higher return than forestry, especially in temperate regions. In most cases, the discounted value based on the other financial opportunity will result in a negative figure. With this approach, the forest owner mainly holds a forest investment based on the non-accounted for amenities of the forest.
Several aspects have to be considered in determining the rate of return of the alternative investment. First, the expected alternative rate of return should be based on the history of this type of investment. Second, the risk of the alternative investment has to be the same as in forestry. Third, forestry investments are often partly taxed or promoted through incentives; therefore, the after-taxed yield is what is relevant. Fourth, It should be made clear which rate of return is used in the analysis of the nominal or real rates of interest. It is not recommended to include inflation when discounting cash flows over long time horizons[24].
In the case of poor or subsistence farmers in some developing countries that do not have available money capital to invest elsewhere, their opportunity for investing outside the farm does not represent a real opportunity cost. Investing in forestry will usually be at the cost of current and future agricultural production. In this case the consumption rate of interest is the discount rate to be used based on the elasticity of marginal utility of consumption, expected income growth, and pure time preference. The marginal utility of consumption and pure time preference suggest the use of higher interest rates for small farmers than for large ones[25]. In the case of expected income growth, farmers with upward trends of income growth will have high discount rates and vice versa[26].
Criteria for Optimal Rotations in Forestry
This article deals with the rotation problem seen from the investment theory standpoint. Therefore, it is important to explain several criteria used for selecting optimal rotations in forestry. The rotation idea originates from the development of the even-aged clear-cut (EAC) system, and it is defined as:
“The period of years required to establish and grow timber crops to a specified condition of maturity”[27]
It is also complemented by the following idea:
“A rotation is the planned number of years between establishment and clear felling…”[28]
The felling or cutting cycle is the term of the rotation applied to periodic selection systems. The advantage of this system is that it favors regeneration of light demanders or shade tolerant trees depending on the intensity and the size of the gaps[29].
Several rotation criteria can be identified depending on the type of forest management objectives. These criteria have been derived from the management objectives. Therefore the length of the rotation depends on several factors. The most traditional rotation criteria are based on factors oriented towards timber production. There are 9 main rotation criteria [30] reported in forest economics literature:
The Biophysical rotation is basically based on the life expectation of the crop in which natural regeneration is assured. The susceptibility to diseases, plagues and other climatic events like windfall are some of the factors affecting these criteria.
The Technical rotation is achieved when the maximum amount of wood is produce to satisfy a particular product demand.
The Maximum Volume Production (MVP) rotation maximizes the mean annual increment (MAI).
The Maximum Revenue rotation maximizes the mean annual revenue and in this rotation the timber price is taken into account. This rotation is based on the maximum MAI, but is longer than the MVP rotation.
The Forest Rent rotation takes into account not only timber prices (revenues), but also costs. However, this rotation does not account for interest on invested money and the land costs.
The Land Expectation Value (LEV) rotation maximizes the NPV of all future rotations starting with bare land. It is assumed that subsequent rotations are equal regarding periodic costs and revenues. The rotation that maximizes the LEV is the one in which marginal costs are equal to marginal revenues. In other words, the forest stand should be harvested when the value growth percent of the timber and the land in respect to time is equal to the selected interest rate of the invested capital[31].
The Net Present Value (NPV) rotation is similar to the LEV rotation; however, it only includes revenues and costs within the planning horizon (one rotation). Valuing the land asset under forest production, would be an incorrect solution because this method only accounts for the timber and not for the land [32]. The NPV rotation is longer than the LEV rotation.
The Financial Maturity rotation is also based on marginal growth of the value of the forest (trees and land) in respect to density not time. Considering several densities, the optimal rotation is achieved if the rate of increase per year between one growing stock density option and the marginal growth or increase of the next period (marginal revenues)[33] is equal to the investor’s rate of return.
The Internal Rate of Return (IRR) rotation is a technique used when there is no knowledge of the investor’s internal rate of return. In this case the rotation that is selected, is the one that yields the highest IRR.
References
Chang, S. J. [1984]: Determination of the Optimal Rotation Age: A Theoretical Analysis. Forest Ecology and Management. 8: 137-147
Chiang, A. C. [1984]: Fundamental Methods of Mathematical Economics. McGraw-Hill Co. Singapore. 788p.
Davies, K. P. [1954]: American Forest Management. McGraw-Hill. U.S.A. 482p.
Filius, A. M. [1992]: Investment Analysis in Forest Management: Principles and Applications. Department of Forestry, WAU. 192p
Gregersen, H. & Contreras A. [1992]: Economic Assessment of Forestry Project Impacts. F.A.O. Forestry Paper No.106, Rome. 134p.
Gregory, R. [1987]: Resource Economics For Foresters. John Wiley & Sons, Inc. U.S.A. 457p.
Gregory, R. [1987]: Resource Economics For Foresters. John Wiley & Sons, Inc. U.S.A. 457p.
Hoekstra, D. A. [1985]: Choosing The Discount Rate For Analyzing Agroforestry Systems/Technologies from a Private Economic Viewpoint. Forest Ecology and Management, 10: 177-183.
Johansson, P.-O. & Löfgren, K.-G. [1985]: The Economics of Forestry and Natural Resources. Basil Blackwell Ltd., U.K. 292p.
Klemperer, W. D. [1996]: Forest Resource Economics and Finance. McGraw-Hill Series in Forest Resources. U.S.A. 551p.
Kula, E. [1988]: The Economics of Forestry: Modern Theory and Practice. Timber Press. Portland 185p.
Matthews, J. D. [1989]: Silvicultural Systems. Oxford University Press. Oxford. 284p.
Speidel G. [1984] Forstliche Betribswirtschaftslehre. Verlag Paul Parey Hamburg u. Berlin 226p.
Footnotes
[1] Klemperer 1996: 111
[2] Johansson & Löfgren 1985: 2
[3] Klemperer 1996: 106
[4] Klemperer 1996: 112
[5] Hirshleifer 1970: 41.
[6] Chiang 1984: 269
[7] Chiang 1984: 269
[8] Chiang 1984: 272-273
[9] Filius 1992: 125
[10] It is a NPV based model discussed in this thesis.
[11] Chang 1984: 138
[12] Klemperer 1996: 113
[13] Klemperer 1996: 113, and Davis & Johnson 1987: 239, 263
[14] It was taken from Filius 1992: 123 and Klemperer 1996: 206
[15] Johansson & Löfgren 1985: 3
[16] Biermann & Smidt 1980 as reported by Filius 1992: 57 and Klemperer 1996: 170.
[17] Filius 1992: 59 and Klemperer 1996: 171
[18] Klemperer 1996: 207-211.
[19] Klemperer 1996: 174, and Filius 1992: 61
[20] Gregory 1987: 252, Filius 1992: 58, and Klemperer 1996: 175
[21] Filius 1992: 62, Klemperer 1996: 173, and Gregory 1987: 250
[22] Kula 1988: 73
[23] Bromwich 1976 reported in Filius 1992: 80
[24] Gregersen & Contreras 1992: 64
[25] Kula (1984), Flinn (1979), and others reported in Filius 1992: 83
[26] Hoekstra (1985)
[27] Davis 1954: 224
[28] Speidel 1984: 60
[29] Mathews 1989: 166
[30] Filius 1992: 119 and Gregory 1987: 313
[31] Johansson and Löfgren 1985: 80
[32] Applying the NPV for valuation of the land asset and the selection of the optimal rotation age is known as the Fisher’s incorrect solution (Samuelson 1976: 120).
[33] usually 1 to 5 year marginal periods
Posted 4 September 2007
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