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MINIMUM
REQUIREMENTS TECHNIQUE
Recall that the Location Quotient
Technique determines the
levels of Basic and Non-Basic local employment through a
comparison between Local conditions and (usually)
National conditions. Directly through this comparison, by
calculating individual industry location quotients,
specializations in the local economy can be identified
and individual industry Basic sector employment is then
calculated via a second formula.
In contrast to the LQ
Technique, the Minimum Requirements Approach (MR) compares local conditions with
those of a sample of similarly sized regions, for
example, a local county of approximately one million
people is compared to four other counties of the same
approximate size. For each industry, then, the MR
technique assumes that the "minimum
shares region" has
just enough employment to satisfy local demand for that
industry's goods and services. It follows that all other
regions will have some Basic sector employment because
their "share" in that industry is greater than
that in the "minimum shares region".
Before turning to the specific calculations of
this approach, a conceptual example might help to
illustrate this technique. If we want to determine if
County X has Basic sector employment in Industry
I using the Minimum Requirements Approach, we
would begin by identifying some similarly sized counties
for comparison. (It should be noted that this is a very
simplified version of this approach and is used for
conceptual purposes only!) The following data has been
gathered:
County
|
Working
Population
|
Employees in
Industry I
|
Industry
Share
|
County X
|
1,000,000
|
50,000
|
0.050
|
Comparison
County 1
|
1,150,000
|
31,000
|
0.027
|
Comparison
County 2
|
980,000
|
41,000
|
0.042
|
Comparison
County 3
|
925,000
|
53,000
|
0.057
|
In our conceptual
example above, we have identified three counties similar
in key characteristics to our County X. We have then
calculated a share of the local employment for Industry I
to determine the "minimum share region", which
is shown above to be Comparison County 1. This approach
assumes that local demand is met with a local share of
approximately 0.027 (or 2.7%); this employment is
identified as Non-Basic. Any local employment above
this share is deemed Basic, because it is assumed that
this employment would serve non-local needs.
Again, the key
concepts to take away from this Topic Review are: 1) the
MR approach compares the local region to several
similarly sized region; 2) a "minimum shares
region" is identified for each industry to determine
the necessary level of Non-Basic employment for each
industry for these regions; and 3) Basic Sector
employment can then be calculated from this minimum
share.
To utilize the
Minimum Requirements the first step is to identify a
sample of similarly sized regions. However, it is
imperative to note that "size" (usually defined
by population) should not be the single factor to
identify your comparison regions. Other factors, like
location, economic factors, or others deemed important by
those analysts utilizing this technique should be
considered when selecting your comparison regions.
It is also important
to note that these comparison areas are not going to
precisely match the characteristics of your region.
Because an industry share is calculated, close to exact
matches on specific characteristics are not required.
Therefore, comparisons between a region with a population
of two million and other regions ranging in population
from one to three million are not considered a fatal flaw
in this method.
After identifying the
sample comparison areas, total industry and individual
industry figures must be acquired for each of these
geographic units. If outputs or payrolls are being used
in this technique, this data would also be necessary.
At this point the
calculation of industry shares can be easily performed in
a spreadsheet or using a calculator. Within each area and
for each industry a simple share should be calculated
using the following formula:
Industry Share
for Region X=
|
Employment in
Industry I in Year T
|
Total Employment
Industry I in Year T
|
These
shares must be between 0 and 1, but not at the very ends
of this range.
As in our conceptual example above, the share for each industry for each
region is calculated. These can then be compared to
identify the "minimum shares region" for each
industry. As noted above, our minimum shares region was
determined to be Comparison County 1 with a share of
0.027.
Interpreting these
industry shares in the context of the MR approach is
quite simple. The region with the lowest share for a
given industry is identified as the minimum shares
region. Any employment above that share is then
identified as Basic employment because up to that share
is assumed to be necessary to meet local demand for an
industry's goods and services. In our conceptual example
we determined that for Industry I a share of 0.027 is
necessary to meet local demand and that any employment
above that share is, by definition, Basic.
If the local region
you wish to analyze had been determined to be the minimum
shares region for Industry I, then it should be clear
from your understanding of this technique that there
would be no Basic employment for that Industry for your
region. In short, if your region has the minimum share
for a given industry then you would be exporting no goods
and services for that industry.
As noted above, when
you reach this point it is assumed that for each industry
a "minimum shares region" has already been
identified and the minimum share is known. Once you have
identified those industries that your local region will
have some Basic sector employment (it is not the
minimum shares region for these industries), you will
then move on to calculate the total Basic sector
employment for your region. To do this you employ the
following formula:
Basic Sector Employment=
|
Regional
Employment in
Industry I
in Year T
|
/
|
National
Employment in
Industry I
in Year T
|
X
|
Total
Regional Employment
Industry I in Year T
|
Total
Regional Employment
Industry I in Year T
|
Total
National Employment
Industry I in Year T
|
Examining this
formula more closely, we see that to allocate employment
to the Basic Sector we simply subtract the calculated
"minimum share" from the local economy share
and multiply that number by the total employment in that
local economy.
From our conceptual
example above, it would follow that the Basic Sector
employment for County X in Industry I would be:
Basic Emp =
(Regional Ratio - Min Share Ratio) X Total Regional Emp
Basic Emp =
(0.050 - 0.027) X 1,000,000 = 23,000
Therefore, the Basic
Sector Employment in County X for Industry I would be
estimated at 23,000. This suggests that the other 27,000
jobs in this industry (50,000 - 23,000) were necessary to
meet local demand.
The final step in our
process is the same as for all our other Economic Base Techniques, to total up the Basic sector employment
for all industries and to calculate the regional Base
Multiplier.
For an example of
this technique visit the MR Example
page.
The basic
theory behind the Minimum Requirements Approach:
the use of a sample of comparison areas to
determine the existence of Basic employment in
each industry
The concept
of "minimum requirements"
The Minimum
Requirements formulas and the range of possible
results of these calculations
Interpretation
of the calculated shares for each industry;
Identification of the "minimum shares
region"
The
calculation of Basic sector employment by
industry
The
importance of using logical and functional
criteria when making your selections of
comparison regions
Possble
refinements to the Minimum Requirements technique
(from Klosterman reading)
"The
minimum requirements approach compares an
industry's local employment patterns to a sample
of similarly sized regions, rather than to the
nation as a whole." (Klosterman, p.
150)
Planners
often rely upon comparisons between roughly
similar units to gain a better understanding of
local conditions. This is a time-honored
technique of the profession as planners have long
sought to understand the local picture by looking
at the situation in comparable units. This is a
technique that is used in specific techniques
like population projections and in the general ,
in the plan-making process.
Like the LQ
technique, the MR approach is very useful because
it allows the planner to identify and interpret
differences between local conditions and other
similar geographic units. For example, how does
Seattle's economy compare to a sample of West
Coast cities like Los Angeles, San Francisco,
Portland, Sand Diego, etc.?
Students
should recognize the "geographic
hierarchy" that is developing in these
economic base techniques. In the Assumption
Technique there was no comparison area; in the
Location Quotient technique a single larger
geographic unit is the comparison unit; lastly,
the Minimum Requirements technique identifies a
number of comparison areas, matched to the local
area by specific criteria. This general approach,
examining a locality, comparing it to the State
or Nation, and then comparing it to similar
units, is the basis for much of what is a basic
level of analysis in planning.
What are the
key assumptions of this technique?
When using
the MR technique, when is the presence of Basic
employment indicated?
Identify three
criteria that you would use to identify
comparison cities if you were using the MR
approach to study Seattle's economy. Why did you
choose each of these criteria?
Do you see
any limitations to this technique? In what cases
might the location quotient technique be a better
choice to study the local economy?
What
refinements to the MR technique does Klosterman
indicate might be used by analysts? Why does he
suggest that the "second minimum shares
adjustment" might be useful?
Klosterman, Richard
E. 1990. Community and Analysis Planning Techniques.
Rowmand and Littlefield Publishers, Inc. Savage,
Maryland. See Chapter 11.
Klosterman, Richard
E., Richard K. Brail, and Earl G. Bossard. 1993. Spreadsheet
Models for Urban and Regional Analysis.
Moore, Craig L. 1975.
"A New Look at the Minimum Requirements Approach to
Regional Economic Analysis." Economic Geography
51: 350-356.
Moore, Craig L. and
Marilyn Jacobsen. 1984. "Minimum Requirements and
Regional Economics, 1980." Economic Geography
60: 217-224.
Ullman, Edward L. and
Michael H. Dacey. 1960. "The Minimum Requirements
Approach to the Urban Economic Base." Papers and
Proceedings, Regional Science Association 6:
175-194.
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