Upload
praveen
View
213
Download
0
Tags:
Embed Size (px)
Citation preview
FMG 24: Theory of Production
Managerial Economics
Dr. Subhasis Bera
Your mother makes delicious Puri and Sabji.
Your friends are mainly visit your house to
have Puri and Sabji. How your mother
manages kitchen when there are five
friends as guest and how does she changes
of doing things at kitchen when there are
twenty five of your friends are visiting your
house just to have Puri and Sabji?
What to produce and how to produce?
How does she manages her resources ( raw material as well as labor help) to prepare sufficient amount of Puri Sabji without wasting anything
As a manager once you know the demand for a particular product which has utility,
next thing that you need to consider is how to create that utility.
This creation of utility is possible by any of three following way
i) by change in the form of goods
ii) Change in the temporal form of goods
iii) Increase in the quantity of goods
What to produce and how to produce?
what to produce and how to produce?
A manager must know the volume of the factor inputs to be used to produce a certain amount of output
Creation of utility is known as the production
From the demand analysis a manager can decide what to produce
Production is a process of transforming the inputs into goods and services.
There are numbers of inputs required to produce a particular types of good or
services and therefore production function can be represented as
The production function refers to the physical relationship between the inputs
or resources of a firm and their output of goods and services at a given period of
time, ceteris paribus.
Here technology determines the type, quantity and proportion of inputs.
Technology(T) also determines the maximum limit of total output from a given
combinations of inputs. We need to remember that at a particular point of time T
is constant and therefore T is included only in the long run production functions.
(L, K,T,E,O,....)q f
Introduction
The production function is dependent on different time frames. Firms can producefor a brief or lengthy period of time.
Short run is a time period when at least one factor input remain constant.
In the long run all the factor inputs are variable.
Therefore SR production function is
From this production function we can calculate Average Product and Marginalproduct of any factor input.
From the above we can get
and
(L, K)q f
L
TP qAP
L L
( )L
TP qMP
L L
Operational Time Period: Short Run and Long Run
From the production function it is obvious that changes in the input will change the
volume of output. In SR changes in the output due to the change input follows law of
variable proportion. Law of variable proportion states that with increase in the
quantity of the variable factor, its marginal and average products will eventually
decline while other inputs remain unchanged. This law of variable proportion also
known as law of diminishing returns.
L
K
TP
Short run Properties: Law of Variable Proportion
Note: this law never say when it will start to take effect. It assumes that all the inputs have the same productivity which is not true
You can think of you new mobile or new laptop or tablet to understand
law of diminishing returns
In SR technology is fixed. Therefore change in technology have impact on the
production function in the long run.
Since LR is a sum total time of number of SR therefore a change in technology will
only shift the production function, ceteris Paribas.
TP
TP1
TP3
TP2
L
Impact of Technology
Labor0
Total Q
TP
L3
Maximum MP
L1 L2
A
C
B
AP and MP of Short Run Production Function
A manager must keep this relation in mind for future
reference
Slope of Tangent at any point measures MP of variable factor input
Slope of the line joining origin and the point
measures AP
L
AP,MP
L1L2 L3
MPL
Stage IMP>AP
AP increasing
Stage IIMP<AP
AP decreasingMP still positive
Stage IIIMP<0
AP decreasing
L
TP
L1 L2 L3
TPL
APL
Three Stages of Production
Stage I: from zero units of the variable input to where AP is maximized (where MP = AP)
Stage II: from the maximum AP to where MP = 0
Stage III: from where MP = 0
Increase in the volume of one factor input increases the efficiency of use of fixed factor
and therefore TP increases at increasing rate. This is known as first stage of production.
At this stage both AP and MP increase.
In the second stage, after the efficient use of fixed input, increase in variable input
increases the production at a decreasing rate because of the law of diminishing return.
At this stage MP is falling but still MP > AP.
In the third stage of production increase in the variable input reduces the volume of
production i.e., it gives the negative return and here both AP and MP fall and MP < AP.
Three Stages of Production
It is obvious that none of the firm will operate at stage III.
None will operate at stage-I as they will continue increasing variable input as long as AP and MP increase.
To determine the optimum level of factor inputs we need to know the MRP (marginal
revenue product ) and the cost of labour.
Where, MRPL=change in total revenue due to a change in the volume of labour input used
And MLC= change in the total labor cost due to a unit change in the volume of labour
engaged in the production process.
Now if total labour cost = w. L, then MLC = w
Therefore from the profit maximizing condition (MRP = MLC) we can have that firm will
employ the variable factor input in such a way so that
Therefore in case of multiple variable factor input optimum level will be derived from the
condition
L L
(TR) (TR)MRP = = =MR. MP
d d dQ
dL dQ dL
1 2
1 2
k
k
MP MP MP
w w w
MR.MPL w MR / MPLw
Short Run Equilibrium: Optimum level of Single Output
In LR all the factor inputs are Variable.
There are various combinations that yields the same level of output.
Locus of combinations of two factor inputs that yields same level of out is called
isoquant.
2( , )Q L K Q
L
K
A
B
C
K1
L1 L3
K3
K2
L2
1( , )Q L K Q
Properties of IQ
1) Downward slopping from left to right
2) Convex to origin
3) Two IQ never intersect each other
Long Run Production Function
Its the amount of one factor input that must be substituted for 1 unit of another input
to maintain a constant level of output.
Slope of Isoquant =
MRTSLK diminishes as amount of substitution increases.
LLK
K
MPMRTS
MP
L per period
K per period
q = 20
LA
KA
KB
LB
A
B
Marginal Rate of Technical Substitution (MRTS)
Depending on the factor input substitutability we can have various types ofisoquant.
1) Linear Isoquant
2) Right-Angle Isoquant or Input-Output Isoquant
3) Convex Isoquant
Linear Isoquant- In Linear Isoquants there is perfect substitutability of inputs.
e.g., In a power plant equipped to burn oil or Gas. Various amounts of electricitycould be produced by burning Gas, Oil or a combination. i.e., Oil and Gas areperfect substitutes.
Input-Output Isoquant- in this case factor inputs are not substitute.
Convex isoquant- in this case factor input Substitutability are limited
Factor Input Substitutability
K
L
1. a firm will continue to employ a
factor input unless its MP
becomes negative. Therefore
threshold level for employing a
factor unit is MPx = 0
2. Ridgeline is the locus of points
on the isoquants where MPx is
zero.
3. Firm will substitute factor inputs
within the ridgeline.
4. the isoquant in between the
ridge line known as economic
region where input substitution
is economically viable.
Ridgelines: Economic Region
MPL =0
MPK =0
In Long Run if all the factors are changed in same proportion then new can say that
there is a change in the scale of production.
Changes the volume of output due to Proportional change in the input is known
Return to Scale (RTS).
Depending on the changes in the volume of output we can have IRS, DRS and CRS.
Return to Scale
Consider a 450 line which shows the factor input ratio remain same on the line.
Distance between a and b = that of b and c → CRS
Distance between a and b < that of b and c → DRS
Distance between a and b > that of b and c → IRS
L per period
K per period
q = 3
q = 2
q = 1
a
b
cq = 3
c
q = 3
c
Return to Scale: IRS, DRS, CRS
Returns to scale can also be described using the following equation
hQ = f(kX, kY)
if h > k then IRS
if h = k then CRS
if h < k then DRS
Many production system exhibit first increasing, then constant and then decreasingreturn to scale. The region of increasing returns is attributable to specialization. Asoutput increases, specialized labour can be used and efficient large-scalemachinery can be used in the production process.
Beyond some scale of operation, however further gains from specialization arelimited and coordination problems emerge.
When coordination expenses more than offset additional benefits of specialization,decreasing returns to scale set in.
Return to Scale: Mathematical
Isocost lines shows the combination of two factor inputs that a producer can
purchase at given prices and income.
Equation of the isocost line is M= PL .L + PK .K
K
L
K1
L1L2 L3
K2
Isocost Line
K
L
1L
AB
C
W1W2
W1
1K
1Iq
2Iq
3Iq2K
2L
Equilibrium condition is
Slope of Isoquant = Slope of Isocost Line
Producer’s Equilibrium
At equilibrium producer maximises its profit
Now we assume that our production function is Q=f (L,K)
Isocost line is PL .L + PK . K =Y
Objective of a manager is to make maximum profit out of the production and there
to maximise the gap between income and expenditure.
There are two ways manager can maximise profit-
i) by maximising output keeping the cost constant
ii) by minimising cost keeping the output level fixed.
Producer’s Equilibrium: Manager’s Problem
In this case our problem is
Therefore from FOC we get
and
and
Now solving (i) and (ii) we get
i.e., optimal input proportion require that the ratio of marginal product to pricemust be equal for all input factors.
Max M= ( , ) ( L-P K) L Kf L K Y P
( , )0..................( )L
M f L KP i
L L
( , )0................( )K
M f L KP ii
K K
0............( )L K
MY P L P K iii
L K
L K
MP MP
P P
Producer’s Equilibrium: Output Maximization
In this case our problem is
Therefore from FOC we get
and
and
Now solving (i) and (ii) we get
i.e., optimal input proportion require that the ratio of marginal product to price
must be equal for all input factors.
( , ). 0..................( )L
M f L KP i
L L
( , ). 0................( )K
M f L KP ii
K K
* ( , ) 0............( )M
Q f L K iii
L K
L K
MP MP
P P
[ * ( , )]L KM P L P K Q f L K
Producer’s Equilibrium: Cost Minimization
There are various types of production function.
i) Cubic form ,
where a, b, c are coefficients
ii) Quadratic function
iii) Power function
A very widely used production function is Cobb-Douglas Production function andrepresented as
Where, a = Total factor productivity
α, β are output elasticities.
2 3Q a bL cL dL
2Q a bL cL
bQ aL
Q aL K
Various Types of Production Function
01. For Q to be a positive number both the factor must exits i.e., if either of the factor vanishesthen so the output.
02. This production function exhibit increasing, decreasing and constant return to scale.Originally CD assumes that returns to scales are constant.
(α+ β ) represents the return to scale .
If (α+ β ) > 1 the there is IRS
If (α+ β ) = 1 then there is CRS
And if (α+ β ) < 1 then there is DRS
03. This allows calculating MP of any factor input keeping other constant and there this is usefulfor short run analysis also.
04. Parameters can be estimated using linear regression model.
05. A Theoretical production function assumes technology is constant. However the data fittedby the managers may span a period over which technology has progressed. One of theindependent variables in the previous equation could represent technological change and thusadjust the function to take technology into consideration.
06. it has attractive mathematical characteristics, such as diminishing marginal returns to eitherfactor of production.
Cobb-Doglus production Function: Properties q aL K
Cobb-Doglus production Function: Limitation
The Cobb-Douglas production function was not developed on the basis of any knowledge of engineering, technology, or management of the production process.
Neither Cobb nor Douglas provided any theoretical reason why the coefficients α and β should be constant over time or be the same between sectors of the economy. Remember that the nature of the machinery and other capital goods (the K) differs between time-periods and according to what is being produced. So do the skills of labor (the L).
This does not allow to calculate MP going through all three stages of production in one specification ( a cubic function would be necessary to achieve this).
This can not show a firm or industry passing through, increasing, constant and decreasing returns to scale.
There are also problem of specification of data to be used in empirical estimates.
q aL K
This is an extreme case of perfect complements of the factor inputs. This
production function has L shaped isoquant.
Production function represented as
and if then
and K is considered to be binding constraint in the production process.
min ,L K
Q
L K
KQ
Leontief Production Function
A special type of production function ( introduced by Arrow, Chenery, Minhas and
Solow and known as ACMS function) represented as
Where A = efficiency parameter
α = Distribution parameter that shows the relative factor shares
ρ = substitution parameter which help us to derive elasticity of substitution
r = scale parameter which determine the degree of homogeneity
(1 )r
Q A K L
CES Production Function
After formulating the model, one can estimate the production function.
There are mainly three methods of estimating production function
Estimation Production Function
Time series Analysis
Cross Sectional Analysis
Engineering Analysis
Now collect data from the Prowess Database and estimate the production function for metal industry
for the period 2000-2015
This is an Assignment
Thank You!
She is also producing something as per the demand of her children. Short of resources does not allow her to meet the demand and she is identified as poor one