The goals of ARC investments are not just to create jobs and income, but
also to improve economic competitiveness, self-sufficiency, and entrepreneurial
vitality in areas of need. Thus, this report attempts to measure the extent
to which the local project areas are fostering economic diversification, economic
vitality, and entrepreneurial success.
These measures are included as a baseline for comparison, rather than
as a direct reflection of project impacts or consequences. In some cases, job
growth or diversification analyses clearly reflect high job creation resulting
from an ARC investment (e.g., Greenville-Spartanburg sewer project). In other
cases, an assessment of economic vitality and entrepreneurial success can demonstrate
the need for the services offered by business incubators, or the actual impact
of an incubator (e.g., Bradford, PA incubator). By and large, though, the analyses
of conditions in project areas should be viewed as context for the projects
themselves and a guide to current development needs —not as a direct reflection
of sample projects themselves.
Table 6.1 Growth & Entrepreneurial
Vitality Measures
Type
|
Years
|
Source
|
Rate type
|
Description
|
Job growth
|
1990-96
|
CBP*
|
% growth
|
% change 90-96
|
Job growth rate
|
1990-96
|
CBP
|
U.S.=100
|
Benchmarked change
|
Diversification
|
1990-96
|
CBP
|
U.S.=1.00
|
Sector benchmarks
|
Start-up activity
|
1996-99
|
Credit data
|
U.S.=100
|
Starts per total firms
|
Start-up survival
|
1996-99
|
Credit data
|
U.S.=100
|
Retained firms 0-3 years
|
Firm retention
|
1996-99
|
Credit data
|
U.S.=100
|
All retained firms
|
Job replenishment
|
1996-99
|
Credit data
|
U.S.=100
|
Growth measure among retained firms
|
*CBP: U.S. Census Bureau's County Business Patterns
A set of economic analyses was developed
for the project counties and, in some cases, larger impact areas. The analyses
were developed from two different sources and cover widely varying time frames
and widely varying measures. Growth and diversification analyses were developed
for each project impact area, as defined by local interviewees, for the years
1990-96 using the Census Bureau's County Business Patterns. [i]
The several vitality analyses were developed
with a variety of private-sector credit reporting databases, and cover the reporting
years 1996-99. [ii]
Because projects in the database were initiated and completed over a ten-year
period, and because projects have widely divergent maturity periods and impact
missions, the real value of the economic and vitality analyses is the view they
offer not of project impacts themselves but of the areas in which the projects
were developed. For this reason, the aggregate analysis of economic and vitality
measures is relatively brief, but the numbers developed for local areas may
assist in the development of strengths and weakness at all local levels.
The categories of economic data analysis are summarized in Table 6.1.
Since all but one of the analyzed projects were in distressed or transitional
counties, vitality trends are likely lower than for the Region as a whole. On
the other hand, economic development project applications naturally appeared
to be received mainly from areas that perceived opportunity; thus, areas with
the lowest levels of vitality may also have been excluded from project investments
and thus the analysis.
6.1 Growth Analysis
The growth analysis measures job growth in each project area in 1990-96,
and is developed in two different forms. In order to give an absolute indication
of growth, job growth is described as a percentage of
1990 totals. Second, the job growth percentage for each project area was benchmarked
against the corresponding U.S. job growth rate where U.S. equals 100. That is
to say, project areas with growth superior to that of the United States scored
over 100, while underperforming areas scored below 100.
As shown by Table 6.2, 42 of the 76 project areas had job growth rates
superior to U.S. job growth patterns for the years 1990-96. Of these, 25 also
performed better than U.S. trends in both the firm
retention and job replenishment
categories.
While the sample size makes regional comparisons difficult, it's worth
noting that a cluster of project areas in the mid-Atlantic ARC states of Pennsylvania,
New York, Maryland, and Virginia reflected far lower 1990-96 growth patterns
than the overall sample. In general, a higher proportion of rural areas in the
database indicated better-performing job growth patterns than did those in metro
areas.
Project areas performing above the U.S. average included ten counties
designated as distressed at the point of project initiation. (Note that the
job growth rate measures the percentage of absolute growth, so a distressed
county with a relatively high growth rate could have serious problems and still
evidence high relative growth.)
Table 6.2 Project
Area Growth Patterns (1990-96)
State
|
Total Project Areas
|
# w/ Job Growth >U.S.
|
% Growth Areas
|
Alabama
|
8
|
6
|
75%
|
Georgia
|
6
|
5
|
83%
|
Kentucky
|
10
|
7
|
70%
|
Maryland
|
2
|
1
|
50%
|
Mississippi
|
10
|
4
|
40%
|
New York
|
4
|
1
|
25%
|
North Carolina
|
4
|
3
|
75%
|
Ohio
|
5
|
4
|
80%
|
Pennsylvania
|
8
|
2
|
25%
|
South Carolina
|
2
|
1
|
50%
|
Tennessee
|
5
|
2
|
40%
|
Virginia
|
4
|
0
|
0%
|
West Virginia
|
8
|
6
|
75%
|
All Metro
|
22
|
13
|
59%
|
All Rural
|
44
|
29
|
66%
|
All Project Areas
|
76
|
42
|
56%
|
Five of these counties have currently moved
to "transitional" designations. Projects in these counties all began in 1995
or earlier, so these project impacts may have had time to mature in time to
be reflected in the 1996 County Business Patterns data. Of the counties that
began with distress designations and registered higher-than-average growth rates,
nine also showed overall retention rates over 100. Five of these counties—Gilmer,
GA; Grainger TN; Lincoln and Rockcastle, KY; and Wayne, WV—also reflected job
replenishment rates higher than the U.S. average (see the explanation of job
replenishment in Section 6.3).
Also noteworthy are the truly impressive
growth rates of the 19 project areas that claimed more than twice the national
job growth rate in the 1990-96 period. Ten of these areas were in the southern
states of Alabama, Georgia, and Mississippi. Thirteen of these areas were rural,
while only six were the beneficiaries of metropolitan spillover, with three
of these in Alabama.
6.2 Area Growth and Relative Project Impacts
In order to assess the relative impact of ARC investments, the direct job impacts
of projects in the sample were compared with the total net job growth of primary
impact counties 1990-96. Although time frame discrepancies between the net job
growth measurement period and various projects make this an imperfect measure,
nonetheless it is a reasonable yardstick of relative impact.
Sixty-five of the seventy-six project counties qualified for this assessment.
Counties with only non-economic development water and sewer projects were excluded.
Four categories of relative impact were established:
Table 6.3 Relative Impacts: Area Growth and Direct Project Jobs
>10% of net growth;<100
direct jobs(11 counties)
Cambria PA
Choctaw MS
Dickenson VA
Forest PA
Johnson TN
Luzerne PA
Monroe KY
Rockcastle KY
Scott VA
Stephens GA
Winston MS
|
>10% of net growth;>100
direct jobs (34 counties)
Belmont OH
Boyd KY
Buchanan
VA
Campbell
TN
Cattaraugus
NY
Chautauqua
NY
Cherokee
SC
Clark KY
Clay NC
Cortland
NY
Cullman
AL
Grainger
TN
|
Habersham GA
Harrison
WV
Itawamba MS
Jackson
GA
Lee MS
Lumpkin
GA
Marion
WV
Marion TN
McDowell
NC
McKean PA
Mercer
WV
Mifflin
PA
|
Polk TN
Pontotoc
MS
Powell
KY
Rowan KY
Stueben
NY
Towns GA
Union MS
Venango
PA
Washington
MD
Winston
AL
|
|
<10% of net growth;<100
direct jobs (8 counties)
Allegany MD
Blount AL
Caldwell NC
Gilmer GA
Lowndes MS
Putnam WV
Russell KY
Washington OH
|
<10% of net growth;
>100 direct jobs(12 counties)
Alcorn MS
Beaver PA
Buncombe NC
Clermont OH
Erie PA
Grnville.-Sprtnbg. SC
Jefferson AL |
Lauderdale AL
Logan WV
Madison AL
Muskingum OH
Tuscarawas OH
|
|
Highest relative impact was registered in counties where projects stimulated
more than 100 direct jobs and accounted for more than 10 percent of total job
growth as reflected in the 1990-96 measurement. Thirty-four counties reached
both thresholds.
A second tier of high impact was indicated for 11 counties where direct project
jobs did not reach 100 percent but where the achieved totals accounted for more
than 10 percent of net 1990-96 job growth.
Another 12 project counties reflected more than 100 direct jobs from ARC investments,
but direct job totals were less than 10 percent of net county job growth in
1990-96.
The relative impacts were considered most modest in those eight counties that
were less than "100 jobs created" and less than the "10 percent net growth"
threshold attributable to ARC projects.
In sum, the relative impacts of investments in primary project counties are
significant in both depth and breadth. Forty-nine percent of the counties examined
met both "high impact" thresholds. Job impacts exceeded 10 percent of net job
growth in 69 percent of the counties examined, and exceeded 100 direct jobs
in 68 percent.
The same measurements, when applied to total (direct and indirect) jobs generated
by projects, are even more impressive. Fifty-two counties (80 percent of those
examined) show project impacts greater than 10 percent of net job growth. Forty-four
(68 percent) met both the net growth and total jobs thresholds.
Geographic Variation of Growth
- Naturally, there are individual stories behind each of these relative
impact measures. Some reflect exactly what appears at face value: large projects
with major impacts on both robust regions (Spartanburg-Greenville, SC) as
well as those that are more modest in size and growth experience (e.g., McKean,
PA).
- Ten of the measured counties experienced negative net job growth during
the 1990-96 measurement period, making ARC projects all the more significant
in terms of regional impact. These counties were Buchanan, VA; Chautauqua,
NY; Choctaw, MS; Cortland, NY; Dickenson, VA; Itawamba, MS; Luzerne, PA; Scott,
VA; Union, MS; and Venango, PA.
- Projects in relatively large metropolitan environments created significant
numbers of jobs but by their nature did not reflect a 10 percent impact on
the project county. Incubator projects in Erie, PA, and Birmingham, AL (Jefferson
County) fell into this category. In others, even projects generating fewer
than 100 jobs exerted a major impact on counties with small projects (Forest,
PA; Dickenson, VA) and, in some cases, in larger counties with relatively
stagnant growth (Cambria, PA).
6.3 Economic Vitality
Each segment of the four economic vitality analyses was developed through a
variation of the "firm life" methodology. A more detailed description of the
methodology can be found in Appendix D.
Four measures were included in the vitality analysis:
- Entrepreneurial Activity, as measured by a comparison of start-up
rates across the United States with rates in each project area. The results
of each local area were compared with U.S. results where U.S. equals 100.
- Entrepreneurial Survival rates were developed for each project area.
The percentage of surviving young firms in each area was then benchmarked
against U.S. patterns where U.S. equals 100. Together with the entrepreneurial
activity rate, the resulting entrepreneurial survival rate creates a quantifiable
measure of entrepreneurial vitality in each project area.
- Firm Retention Rate supplements the entrepreneurial survival rate
and tracks all firms across the United States and within each project area
in the 1996-99 period.
- Job Replenishment Analysis compares the number of jobs lost by failed
firms in the firm retention analysis with those added by survivors over the
same period. The replenishment rate serves as an important supplement to the
firm retention rate, which can reflect high scores in areas with relatively
stagnant economies, as well as those that have more robust economic conditions.
In general, high retention and replenishment rates signal economic vibrancy
even in areas that are not business migration leaders or "hot spots" for start-up
activity.
Findings. Generally, the vitality analysis identified entrepreneurship
as the clearest need in most project counties. Of the seventy-six project areas,
only six met or exceeded U.S. start-up rates of activity for the years 1996-99,
including only one county classified as rural. Two of the higher performing
areas were in Alabama; the others were in West Virginia, Tennessee, and Mississippi.
Nineteen of the twenty counties in the sample currently designated as
distressed counties reflected start-up activity rates below the U.S. average
of 100.
Of even greater concern, 61 of the 76 project areas indicated start-up rates
at least 10 percent below national patterns (scoring 90 or less). Mississippi
counties in the sample scored remarkably well in this analysis. Moreover, survival
rates of young firms (0-3 years in operation as of 1996) were somewhat better
than overall rates; 28 project areas had start-up activity rating less than
91 and young firm survival rates that were lower than the U.S. average.
By themselves, high entrepreneurial survival rates may not be as impressive
as they first seem; when coupled with low start-up activity and overall growth,
higher survival rates may merely reflect a lack of competition.
In this regard, 33 project areas reflected job growth (1990-96) below U.S.
averages and lower-than-average start-up activity rates. Of these areas,
19 also had job replenishment rates lower than the U.S. average. All four of
the Virginia project counties as well as four of Pennsylvania's eight project
areas appear in this higher risk category.
Table 6.4 Project Area Entrepreneurial Patterns (1996-99)
State
|
Project Areas
|
Start Activity
>90% of U.S.
|
% of Areas
|
Survival>U.S.
(firms 0-3 years.)
|
% of Areas
|
Alabama
|
8
|
2
|
25%
|
2
|
25%
|
Georgia
|
6
|
0
|
0%
|
3
|
50%
|
Kentucky
|
10
|
0
|
0%
|
4
|
40%
|
Maryland
|
2
|
0
|
0%
|
2
|
100%
|
Mississippi
|
10
|
7
|
70%
|
6
|
60%
|
New York
|
4
|
0
|
0%
|
4
|
100%
|
North Carolina
|
4
|
0
|
0%
|
2
|
50%
|
Ohio
|
5
|
1
|
20%
|
5
|
100%
|
Pennsylvania
|
8
|
0
|
0%
|
7
|
88%
|
South Carolina
|
2
|
1
|
50%
|
0
|
0%
|
Tennessee
|
5
|
2
|
40%
|
3
|
60%
|
Virginia
|
4
|
0
|
0%
|
2
|
50%
|
West Virginia
|
8
|
2
|
25%
|
2
|
25%
|
All Metro
|
22
|
6
|
27%
|
13
|
59%
|
All Rural
|
44
|
9
|
20%
|
29
|
66%
|
Distressed
|
20
|
5
|
25%
|
7
|
39%
|
Non-distressed
|
56
|
10
|
18%
|
35
|
60%
|
All Project Areas
|
76
|
15
|
20%
|
42
|
55%
|
The prevalence of a low level of entrepreneurial activity in project areas
strongly suggests a need for an increased focus on start-up assistance. Indeed,
these findings highlight the important contribution of the relatively small
number of incubator projects in stimulating entrepreneurial activity. Areas
such as McKean and Erie, PA, which have recognized their gaps in start-up activity
and actively used ARC resources to target start-up efforts, should be applauded.
Other areas that have exhibited very strong growth patterns largely because
of business in-migration and activity surrounding the location of branch plant
sites should also be encouraged to add focus on entrepreneurialism, which can
serve as an offset to future surprises from absentee-owned firms.
The overwhelming majority of project areas demonstrated higher-than-average
firm retention rates for the period 1996-99. However, the firm retention measure
can by itself be deceiving, in some cases masking high start-up "churn" levels
and in others a generally stagnant economy. Thus, a better look at the vitality
of existing businesses in the area can be developed by screening areas with
high retention for high replenishment rates as well. This screening reduces
to 50 percent the number of areas with above-average performance. Rural Virginia
project areas again stand out as a weak spot. Overall performance is reasonably
matched in both metro and rural, distressed and non-distressed areas.
Table 6.5 Project Area Business Retention (1996-99)
State
|
Project Areas
|
Retention
>U.S.
|
%
|
Replenishment >U.S.
& Retention >U.S.
|
% of Areas
|
Alabama
|
8
|
4
|
50%
|
2
|
25%
|
Georgia
|
6
|
4
|
67%
|
4
|
67%
|
Kentucky
|
10
|
9
|
90%
|
6
|
60%
|
Maryland
|
2
|
2
|
100%
|
2
|
100%
|
Mississippi
|
10
|
8
|
80%
|
5
|
50%
|
New York
|
4
|
4
|
100%
|
2
|
50%
|
North Carolina
|
4
|
4
|
100%
|
2
|
50%
|
Ohio
|
5
|
5
|
100%
|
5
|
100%
|
Pennsylvania
|
8
|
7
|
88%
|
3
|
38%
|
South Carolina
|
2
|
2
|
100%
|
1
|
50%
|
Tennessee
|
5
|
3
|
60%
|
1
|
20%
|
Virginia
|
4
|
1
|
25%
|
0
|
0%
|
West Virginia
|
8
|
7
|
88%
|
5
|
63%
|
All Metro
|
22
|
18
|
82%
|
11
|
50%
|
All Rural
|
54
|
42
|
78%
|
27
|
50%
|
Distressed
|
18
|
15
|
83%
|
12
|
67%
|
Non-distressed
|
58
|
45
|
78%
|
26
|
45%
|
All Project Areas
|
76
|
60
|
79%
|
38
|
50%
|
The relatively positive rates of job growth, firm retention and the vitality
of existing firms may be a pleasant surprise for observers of the Region. However,
while the overall news is good, there are causes for concern. Indeed, 33 project
areas registered below-average scores in both entrepreneurial activity and job
replenishment. This "at risk" group, which contains only seven FY2000 distressed
areas, combines low growth among existing firms with low start-up activity—a
combination that calls for attention.
Individual growth and vitality scores for each primary project area are available
electronically in a separate Access database.
Summary
In sum, four important points can be discerned from the overall trends reflected
in the economic analyses:
- ARC investments demonstrate very significant impacts on local project areas
relative to overall growth patterns. Of 65 areas for which measures could
be developed, 34 project investments yielded both 100 direct jobs and 10 percent
of all net job growth in the primary impact area between 1990 and 1996. Another
11 counties can attribute to ARC investments fewer than 100 jobs but more
than 10 percent of all net job growth in the sample.
- Perhaps as important for the future, entrepreneurial activity rates are
generally very low and in need of serious, concentrated attention.
- While diversification is an important ingredient of regional vitality, job
growth patterns in the project areas were most positive among those areas
that began with large manufacturing sectors and then maintained their manufacturing
base (and often diversified within them). A reasonable conclusion points to
the continued importance of nurturing and diversifying within the Region's
manufacturing sector.
- Basic retention rates are positive, but retention rates coupled with the
significant job replenishment indicator suggest a low level of growth among
existing firms in many areas. These findings merit additional policy consideration.
Notes
[i] 17 Economic growth patterns were measured
for all primary impact counties for the years 1990-96 regardless of the actual
completion date of the project or projects within them.
[ii] 18Because of inevitable and varied lags
in business reporting, it is more accurate to say that the vitality analyses
cover a three-year period ranging from 1995- to 1999. Original attempts to perform
the vitality analyses from earlier periods were discarded because of concerns
regarding data integrity.
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