Title: Economics of Production
1Economics of Production
2Introduction
- Today we will discuss how input-output
relationships are necessary to understanding
problems with resource allocation. - Advances in technology change aquaculture
production constantly. - No product is produced with a single input
3Production Economics
- Economics of production is really microeconomics
applied to aquaculture in our case. - Studying production principles should clarify
issues such as costs, output response to input,
and the use of resources to maximize
profit/minimize costs - A multi-disciplinary approach is necessary to
truly appreciate production economics. - Developed from agronomists considering more than
the biology of production
4Production Economics Questions
- What is efficient production?
- How do we determine the most
- profitable amount of input?
- How will change in output price influence
production? - How do we maximize farm profits through
utilization of different enterprises? - How much should you pay for a pump?
- Is technology beneficial to production output?
5Production Economicscomplexity
- Crops grow seasonally and are affected by
numerous inputs - Some inputs we control, others are random e.g.,
hurricanes!!) - Time is also important (e.g. differences in
production cycles) - Can we cope?
6Economics and Production Complexity
- All the variables you manipulate (i.e. rates of
fertilizer, stocking densities, feed, feed
ingredient level, aeration, etc.) affect your
response (yield) - When we compile multiple years of data from these
changes, we can predict the response in a similar
vein to what economist do. - However, aquaculture research and production
lives in the here and now, economists are not
experimental and use only existing data - Key difference economists manipulate nothing.
They simply look at what conditions were in
effect when a previous production cycle occurred.
7Production Theory Classification of Inputs
- Manager has control over variable inputs such as
rate of fertilization, feed rate, etc. - What we dont control is called fixed input,
unchanging during length of trial (harvesting
pump feed silos, vehicles, land) - Random inputs associated with nature or
economics beyond that of the farm - All this results in unique growing seasons.
8Production Theory Assumptions that make it work
- Factors are continuous for entire production
cycle (e.g., level of technology, land ownership,
govt. programs) - Production curve is smooth, well-behaved (e.g.,
fertilizer, labor is a bad ex.) - The manager has perfect insight (perfect
certainty). - No time discounting of production, or discount
in price for early payment of a bill (removes
time element from consideration) - Manager is motivated by profits and optimization
9Production Theory Assumptions
- Assumpitons are used to simplify the analysis to
a point where a reasonable starting point can be
identified, not to discount real world events. - Example following one experiment, to work with
a wider stocking density, over more years - After the elementary theory has been developed,
each additional source of complexity can be
evaluated
10Goals of Production Economics
- assist farm managers in determining the best use
of resources, given changing needs, values and
goals of society - assist policy makers in determining the
consequences of alternative public policies on
output, profits, and use of resources on the farm - evaluate the uses of the theory of the firm for
improving farm management and understanding the
behavior of the farm as a profit-maximizing
entity
11Goals of Production Economics (continued)
- evaluate the effects of technical and
institutional changes on aquaculture production
and resource use - determine individual farm and aggregated regional
farm adjustments to output supply and resource
use to changes in economic variables in the
economy
12How it works
- The effect of a single input on output can be
determined if only that input is varied and all
others are held constant. - Involves
- concept of the production function
- average and marginal physical product
- various stages of production
13Concept of a Production Function
- The production function represents an
input-output relationship - describes the rate at which resources are
transformed into products - relationships vary animal variety, soil types,
water quality, technologies, El Niño - any given input-output relationship specifies the
quantities and qualities of resources needed to
produce a particular product
14The Production Function
- The function can be expressed in many ways
written form, tabular, graphical - written form Y f(X1, X2, X3,, Xn)
- Y output or yield, the Xs are different inputs
that take part in the production of Y - examples yield is a function of stocking
density, feed rate - Note this written equation/form does not
specify the importance or contribution of inputs
to the production process
15The Production Function
- The production function can also be shown in
either tabular or graphical form - Usually picks one variable input and studies the
effect on yield - Yield is also referred to as total physical
product or TPP - Keeps all other variable inputs fixed as well
as traditional fixed inputs - lets look at an example
16Empirical Example
- Fertilizer Yield
- 0 lbs/ha 0 lbs
- 20 37
- 40 139
- 60 288
- 80 469
- 100 667
- 120 864
- 140 1045
- 160 1195
- 180 1296
- 200 1333
- 220 1291
TPP curve
Tabular form
Graphical form
17Empirical Example
- Data in the previous table/figure represent a
production function relating shrimp yields to
applied fertilizer - units of fertilizer (e.g., nitrogen and
phosphate) represent the variable input, while
all other inputs needed to produce shrimp (seed,
labor, fuel, land) are the fixed inputs - But hey, I thought fuel, seed, etc. were variable
inputs! Typically, yes, but in this case they
remain constant - As shown, large increases in yield result from
initial fertilizer applications
18Empirical Example
- However, yield increases become smaller at higher
levels of application - A max of 1,330 lbs/ha was achieved with 200 lbs
of fertilizer, afterwards declining - Zero yield with zero input, in reality, is
uncommon however, due to infertility of incoming
water, soil, etc. - Note Although farmers dont typically use these
functions, as such, they have mental pictures of
what would happen, based on experience
19More detail on the Classical Production Function
- Other characteristics of production function
curves - the production function is a continuous curve
- inputs and outputs are perfectly divisible
(otherwise, it would look like a series of dots) - inputs and outputs are homogenous (prices of
product at one level of input are similar to
others)
Total physical product (TPP) Curve
20Production Assumptions (1) Perfect Certainty
- To use the production function, economists,
farmers, etc. must agree upon the outcome (yield)
for each unit of input - past results (e.g. shrimp yields in response to
fertilizer) must at least approximate this years
function (perfect certainty) - thus, the production function is a planning device
21Perfect Certainty
- Knowing how inputs will perform is difficult year
to year in new industries such as aquaculture - It helps if you are reasonably sure and on top of
results - This is one of the big differences between
standard agriculture and aquaculture - In aquaculture, no two sites are the same
inputs often function differently from one site
to the next - Reality care must be given to select the
appropriate production function - select the right one or suffer the consequences
22Production Assumption 2 level of technology
- If you produce, it is assumed that you do it via
a certain methodology or process - unfortunately, a product can be produced in many
ways - we normally assume in production economics that
the manager uses the most up-to-date technology - Translation we assume the farmer uses the
process that yields the most output from a given
amount of input
23Production Assumption 3 length of time period
- The production function shows output at various
levels of input over a specific length of time - As a result, all inputs (except the one youre
evaluating ) are fixed - reasons for fixing a variable
- maybe the amount used is just the right amount,
any more or less would lower profits - maybe the production time period is too short to
change the amount of resource on hand (e.g.,
land) - the farmer just may not want to change the amount
of resource (e.g., not changing the number of
dairy cattle in order to evaluate a feed effect)
24How to Work with the Production Function
- There are several classical production functions
for various agricultural situations - a discussion of all the production functions that
now exist in agriculture would involve more space
than any book could provide - Problem few are reported for aquaculture
- it would be impossible to record them all as they
happen - we are simply trying to gain a better
understanding of input-output relations - the following are general guidelines and
indications useful to farm managers
25Three Stages of Production
- The classical production function can be divided
into three stages - First Stage the average rate at which variable
input (X) is transformed into product (Y)
increases until it reaches its maximum (i.e., Y/X
is at its maximum) - this maximum indicates the end of Stage 1
26Production Stage 1
- Stage 1 deals with increasing bang for your buck
or the phase of increasing production efficiency - production efficiency is not just the maximum
production level - This efficiency is known as average physical
product, APP and is determined by dividing yield
by its corresponding amount of input (Y/X) - Stage 1 ends where Y/X is largest, around 150 lbs
input
27Production Efficiency
28Three Stages of Production
- Stage 2 physical efficiency of the variable
input is at a peak at the beginning of Stage 2 - Stage 2 ends when yield (APP) is at its maximum
- Bottom line maximum efficiciency does not equal
maximum production
I
II
III
APP curve
TPP curve
29Three Stages of Production
- Stage 3 starts once TPP starts to decline
- result of excessive quantities of variable input
combined with fixed inputs - in order for all this to make sense, we need to
understand that production functions are used to
determine the most profitable amount of variable
input and output - the production function allows you to make
recommendations about input use even when
input/output prices are unknown
30What this Describes Law of Diminishing Returns
- Originally developed by early economists to
describe the relationship between output and a
variable input, when other inputs are constant - if increasing the amount of one input is added to
a production process while all others are
constant, additional output will eventually
decrease - implies there is a right level of variable
input to use with the combination of fixed inputs
31Law of Diminishing Returns
- Requires that the method of production does not
change as variable input changes - does not apply when all inputs are varied
- when the LDR is applied to production you get the
classical production function - increasing marginal returns at first and
decreasing marginal returns afterwards - it is possible that marginal returns could
decrease in the beginning with the first
application of the variable input
32Economic Recommendations
- 1) using logic you can see that if your
production follows that of the example given, you
should increase inputs to achieve a production
level at least until Stage 2 is reached - it doesnt make sense to stop increasing input if
its efficiency is increasing - 2) even if inputs are free, you dont want to be
in Stage 3 - the largest amount of input you would use is that
at the end of Stage 2 - the area of economic relevance is within Stage 2
for firms that buy and sell in competitive
markets - fine tuning comes from knowing prices
33Homework 3 due next time
1) Develop a production curve using the following
data Stocking (fry/ac) Harvest Biomass
(lb/ha) 0 0 1,000 185 2,000 695 3,00
0 1,440 4,000 2,345 5,000 3,335 6,000
4,320 7,000 5,225 8,000 5,975 9,000
6,480 10,000 6,665 11,000 6455 2) At what
level of input would Stage 2 start?
34Next Time Supply and Demand Relationships
(Seperich et al., 1994)