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where Δ is the slope of the saturated vapor pressure-temperature curve (kPa°C -1 ); R n is
the net radiation from the crop canopy surface (MJm -2 h -1 ); G is the soil heat flux
(MJm -2 h -1 ); γ is the hygrometer constant; T is the daily average temperature (°C) ; u 2 is
the wind speed at 2 m height; e s is the saturation vapor pressure (kPa); e a is the actual
vapor pressure; the soil heat flux G is calculated from the following formula:
G =0.1* R n . (11)
The potential land productivity can be obtained from the potential climate produc-
tivity ( Y w ) and the validity coefficient for soil:
()
Yf
=
s
Y
.
(12)
L
w
Twelve factors that influence soil properties are selected and their weighting coef-
ficients ( W i ) are determined by establishing a comparison matrix based on their relative
importance to soil effectiveness, soil properties and soil nutrients.The ESLP calculates
the soil effectiveness coefficients using the following formula:
(13)
fs
()
=
AW
.
i
i
i
The ESLP uses the Cobb-Douglas function to estimate land productivity influenced
by fundamental inputs and conventional production inputs as follows:
Y = AK 1 α K 2 β YL γ . (14)
where Y is the land productivity; A is the scaling parameter of the Cobb-Douglas
function; K 1 is the fundamental input for improving land conditions; K 2 is the routine
productive input for specific production processes; YL γ is the potential land productiv-
ity; α , β and γ meet the following conditions:
α + β + γ =1. (15)
The total investment is allocated between the fundamental inputs and conventional
production inputs based on the profit maximization principle. Assuming that the total
investment amount is M , then
M = K 1 P 1 + K 2 P 2 . (16)
where P 1 and P 2 are the prices of fundamental inputs and productive inputs, respec-
tively. So the allocation of the total investment between the fundamental inputs and
productive inputs satisfies the optimum condition:
MAX W = AK 1 α K 2 β YL γ P - K 1 P 1 - K 2 P 2 . (17)
where W is the production profit, and P is the product price. The optimum investment
program is found by solving the equations above, so that:
1
1
β
β
⎛ ⎞
1
αβ
+−
1
⎛ ⎞
P
⎛ ⎞
P
αβ
+−
1
(18)
αβ
+−
1
K
=
1
2
,
⎜ ⎟
⎜ ⎟
⎜ ⎟
1
γ
Y
α
β
⎝ ⎠
⎝ ⎠
⎝ ⎠
L
1
1
α
α
⎛ ⎞
1
αβ
+−
1
⎛ ⎞
P
⎛ ⎞
P
(19)
αβ
+−
1
αβ
+−
1
K
.
=
1
2
⎜ ⎟
⎜ ⎟
⎜ ⎟
2
Y
γ
⎝ ⎠
α
β
⎝ ⎠
⎝ ⎠
L
 
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