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CONSTANT
SHARE EXAMPLE: KING COUNTY AND WASHINGTON STATE
Using the following
employment data for King County and Washington State in
1993 and 2025, we can utilize the Constant Share
technique to project industry employment for the County
in the year 2025. As with our previous examples, this
example uses a very coarse set of data to keep the
exercise simple.
Table 1:
Employment Data for King County and Washington State,
1993, 2025
Industrial Sector
|
King Co. Employment
1993
|
State Employment
1993
|
State Projected
Employment
2025
|
Agricultural
services
|
7,942
|
51,000
|
88,900
|
Mining
|
673
|
4,700
|
4,900
|
Construction
|
48,185
|
167,400
|
242,900
|
Manufacturing
|
143,222
|
360,800
|
392,600
|
Transport. &
utilities
|
63,113
|
129,300
|
183,500
|
Wholesale trade
|
74,647
|
150,200
|
213,100
|
Retail trade
|
158,875
|
501,400
|
745,400
|
F.I.R.E.
|
69,969
|
221,600
|
307,000
|
Services
|
267,512
|
813,300
|
1,504,900
|
TOTAL
|
834,138
|
2,399,700
|
3,683,200
|
The first task is to
calculate the local employment share for each industrial
sector. This share can provide immediate insights into
the relative importance of King County in the State's
economy, particularly for certain industries.
Table
2: Calculation of
Local Employment Shares
Industrial Sector
|
King Co. Employment
1993
|
State Employment,
1993
|
Local Employment
Share, 1993
|
Agricultural
services
|
7,942
|
51,000
|
0.1557
|
Mining
|
673
|
4,700
|
0.1432
|
Construction
|
48,185
|
167,400
|
0.2878
|
Manufacturing
|
143,222
|
360,800
|
0.3970
|
Transport. &
utilities
|
63,113
|
129,300
|
0.4881
|
Wholesale trade
|
74,647
|
150,200
|
0.4970
|
Retail trade
|
158,875
|
501,400
|
0.3169
|
F.I.R.E.
|
69,969
|
221,600
|
0.3157
|
Services
|
267,512
|
813,300
|
0.3289
|
The calculation of an
industry employment share is simply:
Local Employment
1993
State Employment 1993
So, the Services
sector in King County has a 1993 employment share of:
267,512 / 813,300 =
0.3289
What do these
employment shares tell us? Let's look at the Services
Local Employment Share: 0.3289. This figure tells us that
in 1993 King County had a 32.89% share of the State's
services employment. The Constant Share technique assumes
that this will remain constant between 1993 and the year
2025.
In what industrial
sectors does King County appear to be particularly
important to the State economy?
To project employment
figures for King County in 2025, a Reference Region
Growth Rate must be calculated for each industry. This is
done in Table 3.
Table
3: Calculating
Washington State's Industry Growth Rates
Industrial Sector
|
State Employment
1993
|
Projected State
Employment 2025
|
Industry Growth
Rates
|
Agricultural
services
|
51,000
|
88,900
|
0.7431
|
Mining
|
4,700
|
4,900
|
0.0426
|
Construction
|
167,400
|
242,900
|
0.4510
|
Manufacturing
|
360,800
|
392,600
|
0.0881
|
Transport. &
utilities
|
129,300
|
183,500
|
0.4192
|
Wholesale trade
|
150,200
|
213,100
|
0.4188
|
Retail trade
|
501,400
|
745,400
|
0.4866
|
F.I.R.E.
|
221,600
|
307,000
|
0.3854
|
Services
|
813,300
|
1,504,900
|
0.8504
|
TOTAL
|
2,399,700
|
3,683,200
|
|
Before we turn to
calculating King County's projected 2025 employment,
let's take a moment to examine these industry growth
rates. The above numbers suggest that Washington State
can expect to grow most in certain industrial sectors.
Clearly the Service sector will experience by far the
greatest growth, with a projected increase of .8504, or
over 85%, expected.
Is this finding
surprising? What other industrial sectors show evidence
of significant growth between 1993 and 2025?
In Table 4 we can
apply the Con-Share projection formula to calculate King
Counties projected employment in the year 2025.
Table
4: Calculating
King County's 2025 Projected Employment**
Industrial Sector
|
WA State Industry
Growth Rates, 1993-2025
|
King Co. Employment
1993
|
King Co. Projected
Employment, 2025
|
Agricultural
services
|
0.7431
|
7,942
|
13,844
|
Mining
|
0.0426
|
673
|
702
|
Construction
|
0.4510
|
48,185
|
69,917
|
Manufacturing
|
0.0881
|
143,222
|
155,845
|
Transport. &
utilities
|
0.4192
|
63,113
|
89,569
|
Wholesale trade
|
0.4188
|
74,647
|
105,907
|
Retail trade
|
0.4866
|
158,875
|
236,190
|
F.I.R.E.
|
0.3854
|
69,969
|
96,934
|
Services
|
0.8504
|
267,512
|
494,994
|
TOTAL
|
|
3,683,200
|
1,263,901
|
**Note that there
are some differences due to the rounding of the Growth
Rates.**
Again taking the
Services sector for our example, the Projected King
County employment can be calculated (using the Con-Share
Projection Formula) as:
(1+ 0.8504) X
267,512= 494,994
Using the
Constant Share technique, we have estimated King
County's 2025 employment to total 1,263,901.
These almost 430,000 new jobs represent a 51.52%
increase over the 1993 employment totals. You
also have generated employment projections by
major industrial sector.
What does
this large number of jobs tell you, the local
planner? Well, quite simply, all of those new
employees are going to need homes, demand
services (like Fire and Police), their children
will need schools, and they will have a myriad of
other effects. The usefulness of projections, in
part, provides some idea as to the demand for
housing, services, etc. of the future residents
of your analysis area.
The breakdown
of jobs by industry also provides some insight
into the infrastructure demands of the economy in
2025. For example, where are all those new
manufacturing jobs going to be located? What are
their land and infrastructure needs?
As is
hopefully clear by now, the employment figures
generated by the Constant Share technique should
serve as a reference point for other employment
projections. For example, what happens if we
assume that the State of Washington will grow at
a faster rate than the above figure suggest? How
can we fit that into our projections?
What
problems/limitations do you see with this
technique?
Is it
reasonable to assume that King County will have a
constant local share of the major industrial
sectors between 1993 and 2025? Why or why not?
How would the
above totals change if we used two or three digit
data in our calculations?
Would the
results be affected if we used a different
reference region, say the United States? Do you
see any similarities between the Constant Share
Method and the Location Quotient Method here?
How might a
range of projections be generated using the
Constant Share technique? (Relate this question
to the comment above on the State's economy
growing at a slower or faster rate than
expected.) Why might this be a useful
modification to the Constant Share technique?
How would the
calculations have been affected if we had local
employment figures for 1995 instead of 1993?
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