I. Introduction
This report summarizes a study of education finance and economic development for the
South Carolina School Boards Association. It extends research conducted during the summer
of 1999 by the same research team for the Horry County School Board. The SCSBA wanted to
expand the research conducted for Horry County and explore the statewide implications of a
potential conflict between the financing of education and local economic development.
In June, 1999, the Horry County Board of Education commissioned a review and analysis
of a proposal for a large-scale economic development project and its impacts on the School
District. The proposal, presented to Horry County Council and the City of Myrtle Beach by
a local development company, calls for the creation of a Multi-County Business Park (MCBP)
in the county covering approximately 8,300 acres. The proposal would create a MCBP for up
to 30 years with an option to renew for another 30 years, facilitate the annexation of
several thousand acres of land into the City of Myrtle Beach, freeze zoning and limit
impact fees in the Park and use 100% of commercial property tax revenues for
non-educational purposes.
The Horry County Board of Education was concerned about the long-term implications of
this proposal on the ability of the District to fund educational services in the District.
The developer's proposal would remove over $2 billion in commercial property from the
School District's tax base. Locked into a 30-60 year plan, the District was concerned
that this could have a detrimental impact on the District's ability to fund education
in Horry County in the future. By removing such a large and important component from the
tax base, the District faces shifting the tax burden to other property owners in the
County in order to maintain the quality of education.
To address these issues and others, the School district selected a team of researchers
from across the state to review and analyze the Horry County development proposal. The
team included the following members:
- Holley Hewitt Ulbrich, Alumni Distinguished Professor Emerita of Economics at Clemson
University and Senior Fellow at Strom Thurmond Institute and USC's Institute of Public
Affairs
- Edward Lewis Bryan, Professor of Accounting at Clemson.
- Frank L. Hefner, Associate Professor, Department of Economics and Finance at the College
of Charleston.
- Douglas P. Woodward, Director of the Division of Research and Associate Professor of
Economics at the University of South Carolina's Darla Moore School of Business.
- Harry W. Miley Jr., President, Miley & Associates, Inc.
- Randolph C. Martin, Professor of Economics and Associate Dean, Darla Moore School of
Business, University of South Carolina.
The present study was conducted by the same team of researchers except Dr. Lewis Bryan
of Clemson University. This report presents the results of the research team's
analysis. Section II begins with an overview of the use of development incentives in
economic development. Section III reviews of the major economic development incentives
used in South Carolina that affect a school district's tax base.
Section IV provides an analysis of the relationship between economic growth in school
districts and property tax rates and other fiscal variables. Section V provides a review
of South Carolina's neighboring states' property tax related incentives. To
conclude, Section VI provides recommendations and identifies further issues to be
explored.
II. Historical Overview of Economic Development Incentives
During the past two decades, state and local government involvement in
promoting economic development has expanded significantly. In earlier, post-WWII years,
the federal government had taken it upon itself to assist in the economic development of
the most distressed areas in the country through a variety of programs. The best know of
which were administered by the Economic Development Administration (EDA). Such programs
included low interest rate loans for firms locating in qualified areas plus a variety of
technical assistance activities. During the Reagan years, however, a conservative turn in
political philosophies plus growing budget deficits resulted in a significant reduction in
federal funding of programs for lagging or distressed regions. Thus, state and local
governments were left to fill what was perceived as a gap in programs designed to assist
those living these distressed areas. In addition, competition among states and localities
over the last 30 years has also contributed to this growth in state and local incentives.
The extent of this expansion has been documented by Chi and Leathery and Fisher and
Peters.
Much of South Carolina as well as much of the Southeastern United States has qualified
as distressed areas for many of the early federal programs. While the list of programs is
long, the focus of this section is with those programs designed to directly assist
businesses (either new or existing) in the area. Economist Timothy Bartik provides a
useful "topology" of state and local economic development policies that directly
aid businesses. Included in the more traditional category of such policies are financial
and other incentives, which are designed to attract new industry and expand existing area
industries. Much of this is accomplished through the state and local tax system and has
been traditionally targeted at attracting new manufacturing plants. A second and more
recent summary of economic development programs focus more on smaller or existing
businesses. Such programs include capital market programs (e.g., government financed
equity or loan programs), information, education and technical assistance for small
business, research and high technology (e.g., research parks), and export assistance
programs. In all, the list of state and locally provided economic development programs is
quite extensive.
Are economic development incentives effective?
The growth in state and local government offers of direct economic incentives to
businesses over the past decades reflects an intense competition as areas vie for new
plants and other economic development opportunities. This kind of competition was
especially apparent in the Southeast during the 1980s and early 1990s, as states and
localities vied for the location of highly visible Japanese and European automobile
producers into U.S. greenfield sites. Such high profile events and the rapid growth in
state and local subsidies to the business sector has raised the obvious question; are such
programs worthwhile or effective? The answer to this question may depend on how one
defines "worthwhile or effective" and how one views the evidence available on
this subject.
In recent years, the more vocal of those concerned with such issues have been the
opponents of using business incentives for economic development purposes. Chi and
Leatherby provide a useful "check-list" of the pros and cons associated with
such business incentives. Included in the list of arguments used to discourage the use of incentives are:
- Tax and financial incentives are not the only factors included in business location
decisions.
- Incentives raise questions of equity.
- Empirical studies show that business incentives are not cost-effective.
- Incentives pull dollars away from the improvement of public services and
infrastructure.
- Incentives create a self-defeating zero-sum game.
Consider the first item. It is argued that many other factors (labor cost, proximity to
markets, unions, etc.) play a more important role in determining the location of a firm
than do marginal differences in taxes or other financial considerations. Thus, such
policies have little impact on location decisions. In a recent study of industrial
location in Puerto Rico, the researchers found that a targeted incentive policy affected
the decisions of relatively few greenfield plants investments.
Opponents of such incentives are also able to point to selected studies in the
literature which raise some real questions about the effectiveness of business incentives
in creating employment opportunities, especially for the locally unemployed. It is often
argued that with a mobile labor force, new jobs are filled by more skilled immigrants,
leaving the unemployed in the area no better off than before the new plant opening.
Critics also point out that public funds used for incentives often have a very high
opportunity cost. In states with lagging infrastructure and below average school systems,
such incentives may come at a very high cost in terms of other uses of the tax revenue
foregone. Finally, there is the "zero-sum game" argument. If it is assumed that
state and local governments compete for a fixed number of new firms, then a plant that
decides to locate in one area is lost to the others. From a national perspective, the net
effect of local incentives on job creation is zero and the opportunity cost of using local
public resources is very high. The issue of the net impact of economic development, with
or without incentives, on local public services (including schools) is an important and
controversial one. Part III of this report explores that question in the specific context
of South Carolina school districts.
The other side of the coin is a similar list of positive arguments. These items include
reasons that business incentives should be provide by state and local governments. The
"pros" list contains the following items:
- Incentives have a positive effect on business location decisions.
- Incentives fund job creation.
- Incentives are cost-effective.
- Incentives help foster competition.
- Incentives have a political element.
In this view, tax and financial incentives do have an impact on firm location.
Specifically, the argument is that many state and metropolitan areas are close substitutes
as potential industrial sites from a business perspective. Thus, even a small cost
differential provided by tax or financial incentives can prove to be decisive in the
location decision.
The second item represents the argument that new firms attracted by the incentives
create net additional jobs for the local area. From a local perspective the "zero sum
game" argument is irrelevant. Even from a national perspective, it can be argued that
it is desirable if jobs are "taken" from low unemployment areas and
"given" to high unemployment areas because the social benefits of these jobs is
higher in the high unemployment area. It is also possible that competition for jobs
between states and areas may actually reduce overall unemployment and increase national
output.
The third item in the "pro" list indicates a belief that such incentives are
cost- effective, which means that the benefits (wages earned, taxes paid, etc.) outweigh
the costs (opportunity cost of incentives given). A positive cost/benefit ratio is even
more likely when the multiplier or spillover benefits of an expanded industrial base are
included in the calculation.
The last two items are concerned with the competitive nature of state and local
incentives to business. First, the competition between areas can be viewed as a positive
factor as noted in the discussion of job creation. The wisdom of one area unilaterally
withdrawing from this competition is also certainly questionable. Also, local leaders
unquestionably feel pressure to attract business, especially in areas of high
unemployment. Thus, the political process leads to the desirable result that those areas
that stand to gain the most from such incentives are most motivated to provide those
incentives.
To summarize this brief review of economic development incentives, it is apparent that:
- Incentives were originally intended to promote jobs and income creation for economically distressed areas.
- Incentives were originally a federal government activity but their use by local and state governments has substantially grown over the last 20 years.
- Incentives were originally intended for relatively, footloose manufacturing plants.
- Incentives were originally intended to act as a locational attraction factor to reduce costs that would help entice industry to move to an area.
- Incentives are generally intended to encourage economic activity that would otherwise locate elsewhere.
- Incentives raise questions of equity.
- Incentives may pull dollars away from the improvement of public services and infrastructure.
- Incentives may or may not be cost-effective.
- Incentives can help job creation.
- Incentives can help attract new industry.
As a leader in using incentives, South Carolina demonstrates both the pro and cons of
using a targeted industrial policy approach to economic development. Over time, the
programs used both at the state and local level to attract industry have proliferated. In
some cases, the scope of the incentive programs have expanded considerably beyond their
original intent. The promise has always been, however, that the benefits to the local
community will appear over time. The next section examines whether this has been the case
for the state's school districts.
III. Growth and schools
Value of economic growth
There is little dispute about the value and importance of economic growth and
development for South Carolina. The state remains near the bottom of the fifty states in
such measures as personal income, health status, SAT scores, infant mortality, and other
measures of quality of life that are highly correlated with the quality and diversity of
the state's economic base. Economic growth offers the incentive, the opportunities, and
the resources to change these measures of economic and social well-being.
Schools and school districts are important players in economic growth in several
dimensions. The quality of the public schools is an important factor in locational
decisions for business firms in deciding to move in, expand, contract, or shut down
plants. Firms need educated workers. Management and workers want quality education for
their own children. School millage is often an important factor in locational choice as
well, because the correlation between local taxes and school quality or even school
spending is weak. A district that is already well endowed with a tax base can raise more
revenue with a low mill rate than another district can with a much higher rate. State
equalization through formula funding is not adequate to significantly alter that situation
which handicaps poorer districts both in attracting industry and in providing quality
education. So school districts are an important factor in fostering economic growth.
On the other side of the equation, economic growth affects schools. Nationally, there
is evidence that rapid growth puts strains on both operating and capital budgets for local
governments, including schools, even in the absence of any tax incentives that might drain
potential revenue from schools. Residential development in particular tends to add more to
the cost than the revenue side of local government budgets. Loudon County, Virginia, just
outside Washington D.C., offers one good example:
"In Loudon County, Virginia, officials in 1994 estimated that a new
home must sell for at least $400,000 to bring in sufficient property
taxes to cover the cost of all the services the county provides. By
contrast, the average home sold that year for less than $200,000.
The fastest selling properties in 1995 were town homes averaging between
$120,000 and $160,000."
This estimate confirmed an earlier study in Culpepper County, Virginia, which found
that residential development cost $1.25 in county services (including schools) for every
$1 of revenue, while service costs were only 19 cents per dollar of revenue generated for
industrial, commercial, or agricultural land. Likewise, a study by the American Farmland
Trust found a revenue-to-cost ratio for residential property is 1:1.11, while the ratios
are 1:0.29 for commercial and industrial property and 1:0.31 for farmland, forests and
open space. In other words, residential property generates 11% more in costs than it
produces in revenue, while commercial and industrial property only costs 29 cents and
farmland and open space 31 cents in services for every dollar generated in revenue.
However, these ratios may overstate the benefits of nonresidential development. According
to one researcher:
"A 1991 study by the DuPage County, Illinois Development Department found that, between 1986 and 1989, areas of the county with significant nonresidential development experienced a greater increase in taxes than did areas without nonresidential development . . . commercial development may create a demand for additional nearby residential development which . . . brings a fiscal drain that offsets the benefits."
The impact of nonresidential development on school finances is the central question of
this chapter.
Sources of school district revenue
What happens to school funding as new plants open and new pupils come into a school
district? In order to answer that question, it is helpful to consider the sources of
school funding. Schools get their funding from two major sources: the property tax (28%)
and various kinds of state aid (44%). There are also three minor sources: fees and charges
(5%), miscellaneous revenue (6%), and federal aid (7%). In addition, they can issue bonds
for capital improvements subject to constraints on their bonded indebtedness, which in
1996-97 accounted for the remaining 10%. For purposes of this study, we focus entirely on
property tax revenue and state aid because the other sources are minor and also much less
likely to increase in response to either new industry or more pupils.
Table 1
South Carolina School District Revenues, 1996-97
|
| Total Revenue |
Revenues |
Per cent of total |
| Total Revenue |
$4,424,572,449 |
|
| Own source revenue |
2,167,535,700 |
49.0 |
| current property taxes |
1,239,054,910 |
28.0 |
| service charges |
222,607,331 |
5.0 |
| bonds and leases |
443,678,449 |
10.0 |
| miscellaneous |
262,195,010 |
5.9 |
| Revenue from state sources |
1,955,667,895 |
44.2 |
| property tax relief reimb. |
212,936,953 |
4.8 |
| aid to subdivisions |
17,430,034 |
0.4 |
| homestead exemption reimb. |
19,295,990 |
0.4 |
| state grants |
416,207,647 |
9.4 |
| Education Finance Act |
942,170,022 |
21.3 |
| Education Improvement Act |
301,368,854 |
7.9 |
| Federal aid |
301,368,854 |
6.8 |
State aid. New pupils will generate more state aid. In the current year, one
weighted average pupil would, in the average district in 1996-7, bring in an additional
$2,650 in Education Finance Act (EFA) funding and some additional EIA funding, depending
on available funds. In 1996-97, the average per pupil EIA funding was $530, for a total of
$3,180 in state funds per pupil. However, the average per pupil expenditure in that same
year was $6,526. Additional state aid covers less than half the additional cost on
average. Clearly additional local revenues must be generated if the school districts are
to fund the additional cost of new pupils generated by economic development. A district
that is experiencing rapid growth in its tax base will also see an increase in its index
of taxpaying ability, which is part of the EFA funding formula. Its per pupil allotment,
relative to the state average, will decline, because its enhanced property tax base is
expected to make up some of the difference.
Property taxes. Most of the local share of school funding comes from property
taxes, a base that is shared with cities and counties. Over the period 1990 to 1996, the
assessed value of property grew at an average annual rate of 4.9%. The combined demands of
inflation and pupil growth required a growth in tax revenue of 3.6%. Any increase in costs
over and above those two sources had to come out of the difference of 1.3% between
tax-base growth and inflation/pupil growth, or in the form of higher millage, or some of
each. School millage rates have increased at an average rate of 1.6% from 1990-91 to
1996-97.
Legislative changes in property tax structure in the early 1990s were designed to
protect school revenue while reducing the tax burden on specific groups, such as new and
expanding industry and homeowners. Currently, school district revenues are at risk in at
least two respects: the potential effect on school districts from existing and future
county-negotiated property tax breaks to business firms, and the proposed change in the
assessment rate on automobiles. Personal vehicles account for 18% of the property tax
base. A reduction in the assessment rate on automobiles from 10.5% to 6% would, other
things equal, reduce the property tax base by almost 8%.
The concern in this report is only with the changing property tax implications of
business firms. The next section presents an analysis of industrial (and utility) property
in recent years.
Industrial Property and School Revenue: 1997 comparisons
Using data from South Carolina Department of Education and the Department of
Revenue, it is possible to sort school districts into those with high, low, and average
shares of industrial and utility property in the appraised values of property that goes
into their tax bases. This sorting makes it possible to explore differences in educational
finance--mill rates, per pupil local and state revenues, and per pupil expenditures--in
relation to the degree of industrial development. This industrial development measure,
rather than one that also included commercial development, was chosen for several reasons:
Manufacturing, utility, and associated business personal property is assessed
annually by the Department of Revenue and is therefore not subject to variations in county
reassessments.
Most of the business tax incentives are aimed at and used for industrial and utility
development.
It is difficult to separate commercial from residential rental property in the
available data.
District size. It is difficult to make meaningful comparisons among districts of
vastly different sizes. Some of this problem is overcome by making percentage share
comparisons or by measuring everything on a per pupil basis, but even those corrections do
not fully capture the differences between small and large districts. For some of our
analysis, therefore, the state's districts were sorted into four size classes as shown in Table 2.
Table 2
Size classes of South Carolina School Districts, 199
|
| Size Class |
Number of Districts in Class |
| Under 2000 ADM |
16 |
| 2000 - 6000 ADM |
25 |
| 6000 -12000 ADM |
18 |
| Over 12000 ADM |
14 |
Sorting districts by degree of industrialization. Sorting by degree of
industrialization yields meaningful categories for all but the coastal districts, which
have a low percentage of their tax bases in industrial and utility property but still have
high per capita or per pupil values of property because of extensive commercial
development and high values for residential property. In a second sort that identified
districts with very low shares of industrial and commercial property but per pupil total
property values well above the state average, two groups of school districts fell out. One
group was, as expected, the coastal districts of Beaufort, Horry, and Charleston. The
others were generally urban or bedroom communities-- Lexington 3 and 5, Richland 2,
Clarendon1, and Dorchester 2. These eight districts were analyzed separately as Subgroup
E.
Because of recent consolidation of school districts in Orangeburg County, it is
difficult to find satisfactory comparison data for the old and new Orangeburg County
districts. These three districts were therefore not included in the study.
What remains are a total of 76 districts with two different property tax-base mixes,
each divided into two subgroups: There are 33 districts below the state average of 21.22%
of assessed value in the tax base from state-assessed property.
Subgroup A consists of 13 districts (noncoastal/bedroom) with less than 15% of the
value in state-assessed property: These are the least industrialized noncoastal,
nonbedroom districts. Within this group, there are seven very small districts (less than
2,000 students) and six small districts (2-6,000 students).
Subgroup B consisted of the other 20 districts with 15-21.1% of their property tax
bases consisting of state-assessed property.
There are 43 districts above the state average of 21.22% of value in the tax base from
state-assessed property (37 districts).
Subgroup C consists of 29 districts with 21.3% to 33.7% of their property tax bases
consisting of state-assessed property.
Subgroups B and C contain a cross section of size classes, as might be expected: 5 in
the smallest size class, 21 in the second size class, 15 in the middle size class, 4 in
the 12-24,000 class, and 3 of the state's five very large districts.
Subgroup D consists of 14 districts with more than 35% of the appraised value in
state-assessed property. These districts are the most industrialized districts. A large
industrial share often reflects a low commercial share, so the state's largest districts
are not represented in this category because they are in urban counties with extensive
commercial development. This group contained only three of the very small districts, 7
small districts, 3 medium sized districts and one in the second largest size class
(12-24,000 ADM). A listing of the districts in the least and most industrialized classes
is provided in Appendix B.
Differences between groups. There are some notable differences between subgroups
relative to state averages in some important fiscal characteristics: mill rates, local
revenue per pupil, state revenue per pupil, operating expenditures per pupil, and per
pupil local revenue per mill. The mill rate is a measure of the tax burden on the average
household or firm. Local revenue per pupil reflects both the mill rate and the tax base.
State revenue per pupil reflects both local taxpaying ability and special needs in terms
of pupil mix, and would normally be expected to be lower in districts that had a large
amount of DOR assessed property in the tax base. Finally, revenue per pupil per mill is an
index of the tax capacity of the district, adjusted for district size.
Table 3 shows the average values for each of these fiscal measures for each of the
subgroups.
Table 3
Fiscal Characteristics and Degree of Industrialization by School Districts 1996-97
|
| |
Mill rate per pupil |
Local revenue per pupil |
State revenue per pupil |
Operatingexpenditures per pupil |
Local revenue per pupil per mill |
Subgroup A (Least industrial) |
149.2 |
$1493 |
$3556 |
$5691 |
11.15 |
Subgroups A and B (Below average industrial) |
141.1 |
$1497 |
$3047 |
$5029 |
11.50 |
| State
Average |
141.4 |
$1872 |
$2880 |
$5155 |
13.24 |
Subgroups C and D (Above average industrial) |
146.9 |
$1888 |
$2885 |
$5185 |
17.09 |
Subgroup D (Most industrial) |
146.8 |
$2622 |
$2729 |
$5626 |
18.72 |
Subgroup E (Coastal and urban/bedroom) |
141.2 |
$1817 |
$2513 |
$4797 |
13.12 |
The highest average mill rate, as expected, was in the least industrial districts
(A), where residential, commercial, and personal vehicle property taxes had to carry the
cost of paying for schools. But mill rates were also substantially above the state average
in more industrialized districts (C and D), while the average mill rate was lower
in slightly less than average industrial districts (B) and in coastal and bedroom
districts (E).
Other results are much more consistent with expectations. Lower local revenue per pupil
and revenue per mill and higher state revenue per pupil are found in the least and less
industrial districts, compared to average figures for both in the more industrial
districts. Somewhat surprising are below average figures for all fiscal categories in
coastal and urban/bedroom districts. These districts have lower millage, lower per pupil
expenditures, lower state revenue per pupil, and slightly lower than average local revenue
per pupil and revenue per pupil per mill.
These figures suggest that in general a strong industrial base makes it possible to
generate more school revenue. The most industrial group had the highest local revenue per
pupil, in part because of an above average mill rate but also because each mill generated
more revenue per pupil than in any of the other size classes.
It is likely that district size within subgroups is influencing these results, so
districts were sorted into four groups (see Table 2) according to ADM. Within each group
we computed average millage in the low-industrial and high-industrial group, and also
examined the correlation between the degree of industrialization and other fiscal
measures. Table 4 summarizes the average millage by size class and extent of
industrialization.
Table 4
Millage, Size Class, and Tax-Base Composition
|
| Size Class |
Percent Industrial |
Average Millage |
| 1 (< 2000 ADM) |
< 15.2% |
189 |
| 19.6% to 52.3% |
169 |
| 2 (2 - 6000 ADM) |
< 15.1% |
165 |
| 16.6% to 67.9% |
148 |
| 3 (6 - 12000 ADM) |
all above 15% |
141 |
| 4/5 (12000 + ADM) |
< 12% |
142 |
| 17% to 89% |
151 |
It appears that in very small districts a larger industrial base is associated
with lower average school millage, but in the largest size classes the opposite is true.
These figures suggest that a strategy of seeking industry to fund the schools remains
attractive to smaller districts, but may be of less benefit in larger districts with a
more diversified tax base and perhaps more problems of congestion.
Correlation analysis yielded some interesting insights in terms of local revenue per
pupil. There is a high and positive correlation (.84 for size class 1, .70 for size class
2) between the share of DOR-assessed property in the tax base and local revenue per pupil
in the two smallest size classes. However, there is a very low correlation in the
middle size class and a weak but negative relationship in the largest size class.
This finding reinforces the suggestion that there is greater benefit in seeking
industrial development in the smaller, less industrialized districts than larger ones.
This factor should be taken into account in the differential incentives offered at the
state level for industrial location.
Fiscal autonomy
Next, there is the issue of whether fiscal autonomy interacts with the composition
of the tax base in any significant way. To explore this issue, we sorted districts into
those with no, limited, or full fiscal authority. Districts with limited fiscal autonomy
in the lowest size class had higher average mill rates than those with no fiscal autonomy
(there was only one district in the smallest size class with full fiscal autonomy). In the
second smallest size class, 2-6,000 ADM, the average mill rate was lowest in the districts
with no fiscal autonomy (141), slightly higher in those with limited autonomy (147), and
considerably higher in those with full fiscal autonomy (173), the pattern one might
expect. However, the pattern did not hold for districts with more than 6,000 ADM. Among
these districts, the differences in average mill rates were small, and the lowest average
mill rate (139) was in the limited autonomy districts, followed by the no autonomy
districts (average mill rate, 144), with the highest mill rate in the full autonomy
districts (average mill rate, 157). In summary, there is no clear pattern linking fiscal
autonomy and mill rates in relation to degree of industrialization, but fiscal autonomy
does appear to be related to mill rates after adjusting for district size.
Growth, change, and fiscal indicators
While the snapshot across districts in 1996-97 offers some insights into the
relationship between industrialization and fiscal variables, our primary concern is with
the changes that take place when economic growth occurs in the form of expanding
the industrial base. The expectation that expansion of a district's industrial base will
lower school mill rates does not appear to be justified. Regression analysis
confirms this finding. Neither growth in the industrial share of the tax base (1987-97)
nor growth in per pupil DOR-assessed property is related in any statistically significant
way to the 1997 school millage rate. Likewise, neither industrial growth nor industrial
share of the tax base contributed in any identifiable way to explaining growth in school
millage over the same period.
There is a positive relationship between the growth in the industrial/utility
share of the tax base and growth in local revenue per pupil. The relationship is
statistically robust, but the magnitude is rather small. A one percentage point growth
in the industrial/utility share of the tax base results in just a 0.3% increase in per
pupil local revenue. The same is true of growth in DOR-assessed (industrial/utility)
property per pupil: there is a small but statistically significant positive relationship
of about the same magnitude, a 0.3% increase in per pupil local revenue for every 1%
increase in DOR-assessed property in the district. This small effect may be partly the
result of the use of industrial location incentives, which could not be determined from
the statistical model. However, the growth in DOR-assessed property has a statistically
significant and negative effect on state aid to local districts that is larger in
magnitude than the effect on local revenue. A 1% increase in DOR-assessed property in
a district results in a decline ranging from 1% to 3% in state aid per pupil, depending on
the model specification. If state aid constitutes 44% of a district's revenues, then on
average, a 1% increase in DOR-assessed property will increase local revenues and decrease
state aid per pupil so that there is a net revenue loss, ranging from 0.3% to 1.2% of per
pupil revenue.
Moreover, one might ask about the impact of industrial growth on school spending.
Several factors enter into spending, including both cost factors of serving a larger
population and industry demands for quality schools. The regression results on this
question are difficult to interpret, because growth in industrial share of the tax base
and growth of DOR-assessed property per pupil appear to have opposite effects on total
expenditures per pupil. Growth in DOR-assessed property per pupil has a significant
positive (but modest) effect on per pupil spending, about a 0.1% increase for every 1%
increase in the industrial/utility tax base per pupil. However, growth in the share of
DOR-assessed property in the tax base has a significant negative effect on per
pupil spending, also quite modest (0.15% for every one percentage point increase in the
tax-base share). The first finding is in keeping with national studies that find rising
school costs with pupil growth as transportation routes must be extended, teachers
attracted, and more classrooms constructed, as well as the need to accommodate new
industry's demands for better prepared workers. The increase share of industry in the tax
base is somewhat different, because it implies that industry has been growing faster than
other categories of property associated with population (and pupil) growth--houses, rental
property, commercial facilities, and personal vehicles. If industry is growing faster than
student population in some districts, then these cost factors are not as strong and
spending per pupil could decline.
In summary, the regression results do not offer any insight into millage growth, but
they do suggest that industrial growth does not necessarily or clearly increase the
per-pupil resources of the school district, and in fact may result in a decline if
reductions in state aid because of higher taxpaying ability more than offset the increases
in local per pupil revenue.
District size and growth of the industrial base
Somewhat similar conclusions emerge by re-sorting districts in terms of both size
and growth of the industrial base. A composite variable was created that weighted the
growth rate of DOR-assessed property by the 1997 share of that property in the tax base. A
low score reflects either a limited industrial base, a slow growth rate, or usually both,
while a high score means a large industrial share with rapid growth. There were fourteen
districts with scores less than half the state average on this weighted industrial growth
measure measure, 30 that were more than half but less than the state average, eighteen
that were above the state average by up to 50%, and 21 that were more than 50% above the
state average. Again, no clear pattern emerged for millage growth; average millage growth
from 1987-97 was actually much lower in the slowest growth/least industrialized group of
districts than the others. While there is no evidence that industrial growth lowers the
mill rate, there is some sketchy but inconclusive evidence that faster industrial growth
may raise the average mill rate. Table 6 summarizes the growth rates for both millage and
per pupil local revenue by size class in relation to the industrial growth measure just
discussed. Table 7 provides the same information by level of fiscal autonomy.
The per pupil local revenue results are also consistent with the regression findings.
Per pupil revenue grew fastest in the group of counties that was up to 50% above the state
average in weighted measure of industrial growth (up 80% between 1987 and 1997). The
fastest growing group saw an average 42% increase in per pupil local revenue, while the
slower-growing group of districts saw per pupil local revenue grow only 16% over the
decade, and the slowest-growing group 33%. Again, the offsetting effect of distribution of
state aid probably accounts for the fact that per pupil revenue grew faster with growth of
the industrial base but was not translated into slower than average increase in the mill
rate.
Mill rate growth generally is lower for larger districts than for smaller ones, but
that pattern is much more pronounced for the mid-growth districts than for the slowest and
fastest growth counties. It is particularly noteworthy that this pattern reverses in the
counties with larger industrial bases and/or faster industrial growth, where the millage
rate grows more rapidly in larger districts than in smaller ones. If larger districts are
more urban, this tentative finding may suggest that the state's more densely populated
districts are closer to the national pattern observed earlier, where industrial
development may actually increase rather than decrease property tax rates.
The pattern of local revenue growth per pupil is more consistent, with the most rapid
growth in the smallest districts, regardless of what is happening to the industrial base.
However, the growth rate is also consistently higher for districts with more rapid
industrial growth, regardless of size, which is consistent with the regression results
described earlier.
Growth and fiscal autonomy
The impact of industrial growth is likely to be different in districts with
different degrees of fiscal autonomy. Table 7 summarizes the findings on this question.
Fiscal autonomy by itself does not have a great deal of explanatory power for either the
local mill rate or the growth in per pupil revenue. Mill rate growth is actually lowest
for the full autonomy districts, a finding that contradicts the expectations that
unrestricted ability to raise tax rates will result in higher rates than in districts that
do not enjoy that freedom. Local revenue growth, likewise, has been slower in districts
with full autonomy than in those with limited or no autonomy. It is noteworthy, however,
that the districts with the weakest/slowest growing industrial base showed more
willingness to raise mill rates to fund schools than those with limited or no autonomy (up
43% compared to 26-27% over the ten year period).
In situations of rapid industrial growth, local revenue per pupil has increased more
slowly in districts with full autonomy than in those with limited or no autonomy. For
other size groups, no clear pattern linking growth rates and fiscal autonomy is evident.
Summary
This section examined a great deal of data to consider the impact of having a large
industrial component to the tax base and/or experiencing industrial growth in a school
district on such fiscal variables as the mill rate, local revenue per pupil, total revenue
per pupil, and per pupil spending. These factors were considered overall as well as in
relation to district size and degree of fiscal autonomy. In general, having more industry
in the tax base appears to have a moderately positive impact in terms of lower mill rates
and more local revenue per pupil, but the effects are not strong. In the case of economic
growth, the benefits of additional local revenue are modest and more than offset by
reduced state aid as a result of a higher index of taxpaying ability. Small, less
industrialized districts appear to benefit more from new industry than larger, more
industrialized ones. The relationship between fiscal autonomy and any of these effects of
growth is tenuous at best, although there is some tendency to higher mill rates in
districts with full autonomy.
Table 6
Industrial Growth, Fiscal Variables and District Size
|
| Size
Class |
Mill Rate Increase 1987-1997 |
Growth in Per Pupil Local Revenue 1987-1997 |
Number in Class |
| 1 (< 2000) ADM |
46% |
85% |
16 |
| 2 (2 - 6000) ADM |
47 |
75 |
36 |
| 3 (6 - 12000) ADM |
35 |
67 |
18 |
| 4 (12 - 24000) ADM |
46 |
60 |
8 |
| 5 (> 24000) ADM |
35 |
48 |
5 |
| 3-5 combined (> 6000) ADM |
38 |
62 |
31 |
| By Weighted Growth Rate: |
| Slowest Growth |
| 1 (< 2000 ADM) |
26% |
68% |
5 |
| 2 (2 - 6000)ADM |
41 |
65 |
4 |
| 3-4 (> 6000)ADM |
27 |
53 |
5 |
| Below Average Growth |
| 1 (< 2000 ADM) |
61% |
103% |
6 |
| 2 (2 - 6000)ADM |
41 |
52 |
12 |
| 3-4 (> 6000)ADM |
44 |
54 |
13 |
| Above Average Growth |
| 1 (< 2000 ADM) |
78% |
92% |
3 |
| 2 (2 - 6000)ADM |
67 |
93 |
9 |
| 3-4 (> 6000)ADM |
23 |
62 |
6 |
| Fastest Growth |
| 1 (< 2000 ADM) |
34% |
105% |
3 |
| 2 (2 - 6000)ADM |
40 |
98 |
11 |
| 3-4 (> 6000)ADM |
47 |
85 |
7 |
Table 7
Industrial Growth, Fiscal Variables and Fiscal Autonomy
|
| Fiscal Autonomy |
Mill Rate Increase 1987-1997 |
Local Revenue Growth 1987-1997 |
Growth in Per Pupil Number in Class |
| None |
42% |
77% |
31 |
| Limited |
52 |
78 |
30 |
| Full |
37 |
69 |
22 |
| By Weighted Growth Rate: |
| Slowest Growth |
| No Autonomy |
26% |
62% |
9 |
| Limited Autonomy |
27 |
58 |
2 |
| Full Autonomy |
43 |
64 |
3 |
| Below Average Growth |
| No Autonomy |
47% |
64% |
12 |
| Limited Autonomy |
60 |
54 |
10 |
| Full Autonomy |
27 |
66 |
8 |
| Above Average Growth |
| No Autonomy |
27% |
61% |
4 |
| Limited Autonomy |
67 |
91 |
10 |
| Full Autonomy |
50 |
82 |
4 |
| Fastest Growth |
| No Autonomy |
52% |
105% |
6 |
| Limited Autonomy |
36 |
97 |
8 |
| Full Autonomy |
39 |
68 |
7 |
IV. Property Tax-Based Economic Development Incentives
South Carolina's economic development program includes many types of incentives to
help encourage a company to locate or expand in the state. Some incentives are designed to
reduce a company's corporate income tax liability. Other incentives allow exemptions
that can reduce sales and use taxes on various types of equipment and purchases. Still
other incentives reduce a company's worker training costs. The list of incentives is
quite extensive. South Carolina is well known in the economic development industry as
being very successful and very aggressive in its economic development incentive packages.
Although the list of incentives in South Carolina is long and varied, the focus of this
study is the state's incentives that affect property taxes and in particular, the
property tax base of a school district. The impact on property taxes is critically
important to schools because property taxes are the primary source of local revenue for
schools. Other local governments, especially cities and counties, also depend on property
taxes are affected by these incentives, but not to the same extent as schools. These other
governments only rely on property taxes for an average of 50% to 60% of their local
revenue portion of their budgets.
School districts in South Carolina receive a large portion of their funds from state
sources, so property taxes only support a portion of total school funding. The average
school district in South Carolina receives about 60% of the funds required for its
operations from the state. This percentage varies according to how wealthy a district is,
ranging from a low of about 1% for the wealthiest district to about 95% for the poorest
district. But regardless of what proportion of funds are provided by the state, nearly all
of the funds that are required to be generated locally must come from property taxes. In
addition, almost all of the debt service and capital improvement expenditures for schools
must come from local funds.
Therefore, since schools must rely heavily on property taxes to fund the local share of
their operating costs and most of their capital improvement costs, any business incentive
that affects the flow of property tax revenues is extremely important to school districts.
Relevant economic incentives
The following economic development incentives can affect the property tax base of a school district:
- Tax Increment Financing Districts (TIF's)
- Fee In Lieu of Taxes (FILOT)
- Special Source Revenue Bonds in Multi-County Industrial Parks
Tax Increment Financing Districts will only be addressed briefly in this report for two
reasons. The first is that while TIF's are an important economic development tool,
they are generally used for community development in cities and counties rather than
direct incentives offered to attract new industry. (The original intent of the law was to
redevelop blighted areas in decaying inner cities.)
Second and perhaps more importantly, the state laws for TIF's were amended in 1999
to allow school districts the ability to choose whether to participate in a TIF. Prior to
1999, a municipality could create a TIF and use school tax revenues for up to fifteen
years without the consent of the affected school district. This opt-out provision gives
school districts protection from having any property tax revenues generated by millage
assessed by the school district being used for non-school purposes without the school
district's consent. This change has not eliminated the use and effectiveness of
TIF's. Several TIF's have been created in South Carolina since these changes
were implemented. These TIFS have included some where the school districts have
participated and some where they have declined.
The other incentives are used as direct incentives
to attract new and expanding industry and schools have no voice or vote in their use.
The following outline summarizes the detailed
descriptions provided in Appendix A. The major elements of these incentives are as follows:
-
Tax Increment Financing (TIFs)
- Originally a potential loss of revenue to school districts
- State law was amended in 1999 to allow School Districts the ability to choose to
participate in a TIF or not
- School Districts protected and have a "vote" in negotiations
-
Fee-in-lieu-of-Taxes (FILOT) --- Outside a MCIP
- Applies to manufacturing, not other classifications of property
- Allows County Councils to lower Assessment Ratio from 10.5% to 6%
(and as low as 4% in large transactions) without the consent of the affected school
district.
- Suspends ad valorem taxes and imposes "fees"
- Can freeze millage rates for up to 30 years
- School Districts generally protected but do not have a "vote" in negotiations
- Tax revenue is distributed in same manner and proportion as millage rate, which
generally protects school district's revenue from use by the County.
-
Multi-county industrial or business park (MCIP)
- Multi-county agreement; many have one dominant and one nominal county
- No restriction on land area, time limit, or type of "industry or business"
- Can have FILOT in MCIP
- All real and personal property is exempt from ad valorem taxes, but "amount
equivalent" to property tax is owed
- County Councils assert the authority to determine how the "equivalent amount"
is distributed among taxing districts, including all of FILOTS in the MCIP
- School Districts are not protected
-
Special Source Revenue Bonds
- Are available in MCIPs and FILOTs
- Can lower tax revenues to all taxing entities through "credits"
- School Districts do not have a "vote" in negotiations
- County Councils assert the authority to determine how the reductions affect taxing
districts
- School Districts are not protected
Illustrations of impact of incentives on school districts
As the following examples demonstrate, the FILOT within a MCIP and the Special Source
Revenue Bond incentives pose the greatest threat to a school district's tax base.
These two incentives can allow a county to redistribute the "fees" (tax
revenues) generated by the taxing entities in any way they want, regardless of the
relative share of the millage assessed by the taxing entities. That is, the school
district is not guaranteed that it will receive its fair share (pro-rated share) of taxes
from the property (regardless of the assessment ratio).
The following example may help illustrate this concept of "pro-rated" share.
First, assume a manufacturing company invests $10 million and the property is outside any
municipality, is not in a MCIP and does not negotiate a FILOT agreement. Assume the mill
rate in the county is 70 mills and the school district's millage is 140 mills for a
total of 210 mills. The county's share of the total millage assessed on property is
33% (70/210 = 33%) and the school district's share is 67% (140/210 = 67%). Without a
FILOT agreement, the company's property will be assessed at the constitutionally
established 10.5% rate. The company's property will have an assessed value of
$1,050,000 ($10,000,000 * .105 = $1,050,000). The company will pay a total of $220,500 in
county property taxes -- $73,500 in county taxes ($10,000,000 * .105 * .070 = $73,500) and
$147,000 in local school taxes ($10,000,000 * .105 * .140 = $147,000). The school district
will receive 67% of the taxes paid by the company -- exactly in proportion to its prorated
share of the total millage rate in the county.
If it is assumed that the company negotiates a FILOT agreement and the company's
property is assessed at 6.0%, the company's property will have an assessed value of
$600,000 ($10,000,000 * .06 = $600,000). The company will pay a total of $126,000 in
county property taxes -- $42,000 in county taxes and ($10,000,000 * .06 * .070 = $42,000)
and $84,000 in local school taxes ($10,000,000 * .06 * .140 = $84,000).
Even though the company's assessment ratio is reduced so that it pays 43% less
taxes, the school district will still receive 67% ($84,000/$126,000 = 67%) of the taxes
paid by the company --- exactly in proportion to its prorated share of the total millage
rate in the county (67%).
The ability to reduce the overall property tax liability of the manufacturing company
is the intent of the law, because South Carolina's property taxes on manufacturing
property are the highest among our neighboring states. Even when a company negotiates an
assessment ratio of 6%, the firm's property taxes will still be higher in South Carolina
than in North Carolina or Georgia.
Originally, when the law was first passed in the late 1980s, the incentive was only
available to companies investing at least $85 million or more. However, the minimum amount
of investment for a company to be eligible has been lowered several times over the last
ten years and now is only $5 million. In fact, in six extremely distressed counties, a
minimum investment of only $1 million is enough to be eligible for incentives. This
reduction in the minimum investment level has led to a proliferation of FILOT agreements
across the State.
The Horry County experience
The proliferation of FILOT agreements would not be as big a concern to the school
districts and as big a threat to their tax base if school districts were guaranteed that
they would always receive their prorated share of the property tax revenues. The FILOT
within a MCIP and the SSRB incentives do not provide school districts this protection. The
Ho Horry County case offers a good illustration of how the current laws allow a county
government to unilaterally decide how the total property tax revenues are to be
distributed and ultimately to divert school funds from school purposes and keep the
schools from receiving their prorated share of taxes.
In the spring of 1999, the Horry County Council received a proposal by a large, local
development company to create a MCIP. The proposal called for the creation of a
Multi-County Industrial Park (MCIP) in the county and the City of Myrtle Beach covering
approximately 4,000 acres. The proposal would create a MCIP for up to 30 years with an
option to renew for another 30 years, facilitate the annexation of several thousand acres
of land into the City of Myrtle Beach, freeze zoning and limit impact fees in the Park.
However, the most important aspect of the proposal to the Horry County School District was
that it called for the use 100% of commercial property tax revenues from the $2 billion of
investment to be diverted to non-educational purposes.
Under the original proposal, the school district would not receive their prorated share
of revenues from the property (estimated to be 56.1%) but was to receive zero revenues
(0%). Using the MCIP and SSRB laws, the proposal called for the county to redistribute tax
revenues generated by the school district's millage (113 mills) away from the school
district and use them for non-school purposes such as road, sewer, water and other
infrastructure improvements. It was estimated by the county that if the school district
received their prorated share of the property tax revenues, the school district would
receive over $214 million during the first 20 years of the MCIP. However, under the
county's plan, the district would receive nothing, i.e., would lose a
potential $214 million. The original proposal has been amended and the county now proposes
to redistribute only a share of the school district's revenue away from the district,
not all of it. Under the current proposal, about $25 million of the school district's
prorated share would be redistributed by the county to non-school purposes (during the
first 20 years of the 35-year MCIP). However, the school district is not protected from
future amendments to the agreement by the county council.
Other Agreements
The Horry County case is a good example of how the school districts are not
guaranteed that they will receive their prorated share of revenues from an economic
development project as these laws are currently written. But Horry County is not the only
current example. Another county in South Carolina was recently successful in attracting a
major economic development project to their area. The company reportedly invested over
$600 million. Because the investment was more than $400 million, the company was eligible
to negotiate a FILOT assessment ratio of 4%, which it did (see Appendix A). Assuming $600
million in capital investment, an assessment ratio of 4% and the 1998 average millage rate
in the county of 225 mills, the company would pay approximately $5.4 million a year in
FILOT fees (property taxes). Of this $5.4 million, the school district would receive
approximately $3.0 million.
However, the FILOT agreement negotiated by the county council requires the company to
pay a net amount of only $900,000 in fees to the county a year for the next 20 years and
no fees at all for years 21-30. This fee agreement is equivalent to an assessment ratio of
about 6/10ths of 1%. The county issued about $15 million is SSRB's for improvements
for the company. In essence, the county allowed the company to use its own tax payments to
pay for some of its development costs. And the school district's millage was used to
generate about two-thirds of these funds. According to the documents filed with the
county, it is unclear if the school district will receive any revenues from the $600
million investment. By comparison, Union Camp invested about $600 million in a facility in
Richland County in 1992. This firm has paid over $41 million in fees in the seven years
since it signed a FILOT, an average of almost $6 million a year.
As part of this research project, the 46 counties in South Carolina were requested
through a Freedom of Information Request (FOI) to provide documentation on all FILOT, MCIP
and SSRB agreements that have been negotiated in their respective counties. To date, only
50% of the counties have responded to the request. However, based on the responses, the
above examples are not exceptions but are fairly typical of many of the agreements
counties are negotiating.
Growth in Use of FILOTs
The fiscal impacts on the state's school districts from these incentives are
very difficult to determine. At the present time, there are no statewide requirements for
counties to report the creation and use of multi-county industrial parks or the use of
special source revenue bonds. The South Carolina Department of Revenue (SCDOR) collects
data regarding FILOT agreements but does not publish detailed data on the agreements.
The frequency of companies negotiating FILOT agreements has increased dramatically in
recent years. According to data from the SCDOR, there have been over 320 FILOT agreements
negotiated since the law was passed in 1987. Since that time, the state has received
approximately $226 million from companies who have entered into FILOT agreements. In 1998,
the state received about $61 million in fees. The SCDOR reports that there are about 50
new agreements a year.
The minimum amount of investment required to be eligible to enter into a FILOT has been
reduced from the original $85 million, first $45 million in the early 1990s and then in
1995 to $5 million. This change has led to more widespread use of the incentive and has,
for most practical purposes, eliminated the 10.5% assessment on new industrial property.
At $5 million, nearly any new capital investment by a manufacturer will be eligible for a
FILOT. With the tremendous competition for new investment, most county councils will not
be able to keep from offering the lower 6% assessment ratio.
Based on data from the SCDOR, during the five-year period from 1989 and 1994, there
were about five FILOT agreements negotiated per year. The average amount of capital
investment for these projects was about $157 million and the average fee paid by these
companies in 1998 was about $1 million. This contrasts dramatically with the four-year
period from 1995 and 1998 during which there has been an average of about 75 FILOT
agreements negotiated per year. The average amount of capital investment for these 300 or
so FILOT's was about $15 million and the average fee paid by these companies in 1998
was about $130,000.
SSRBs in South Carolina
Unfortunately, there is not much information on the use of SSRB's in South
Carolina. At this time, it is unknown how many SSRB's have been used and how deeply
they have impacted on the tax base of school districts. The information gathered from the
FOI requests does not provide much detail as to amounts of SSRB's granted by the
counties. However, the data do indicate that their use is increasing and that most
counties are granting SSRB credits to new and expanding companies.
As the $600 million example above demonstrates, SSRB's can be used to reduce a
company's effective assessment ratio to less than 1% and legally can be used to
reduce it to zero. Based on information collected from some of the counties, the use of
SSRB's and credits is increasing in a similar manner to the use of FILOT's. For
example, one county granted SSRB's for a five-year period equal to 25% of the annual
revenues to a company that was investing about $20 million. However, in the first year,
they granted a special, one-time credit of $125,000. This effectively reduced the
company's tax payment to zero for the first year. Thus, neither the county nor the
school district received any tax revenue form this company for the first year.
The same county negotiated another agreement for a company making a $200 million
expansion. The company's facility was not in a MCIP so the county created one for the
expansion. Since the company invested $200, it was eligible to negotiate a 4% assessment
ratio. Had the county not placed the company in a MCIP, the school district would have
received its prorated share of the "fees" on the $200 million assessed at 4%.
Based on the district's 1998-99 millage rate, this would have generated about $1.24
million a year for the school system. However, the county specified in the MCIP agreements
that no other taxing entity except the county would receive any revenues from the new
project in the MCIP. Therefore the school system will receive zero tax revenues from a
$200 million investment in the county.
Originally, the law allowed a bond to be issued by the county to fund infrastructure
improvements for a new industry of an expansion. However, counties now have switched to
the practice of reducing a company's annual property tax payment by giving the
company a credit against their property taxes due. In some cases this has been as little
as 10% of the tax liability and in others as much as 100%.
Since a school district's millage normally represents about two-thirds of a
company's tax liability, this credit has the effect of reducing the school's property
tax revenues. The extent of the reduction statewide is unknown but is obviously growing.
A major issue is whether schools have lost revenue because of these incentives. It is
very difficult to say for certain. It is clear that the use of the incentives are
widespread, and that many companies are paying lower taxes than they would if the FILOT
and SSRB laws did not require the county to include the school district in its
negotiations around the mill rate. However, many of the companies that have invested in
South Carolina since 1989 and have taken advantage of these laws, may not have invested
here and would have located in another state if these incentives had not been available.
Hence, it is very difficult to determine the amount of school revenues that would have
been collected statewide if the industrial property currently assessed at less than 10.5%
rather than the lower FILOT levels.
Estimated revenue losses from FILOT agreements
Unfortunately, the lack of sufficient data prohibits a comprehensive analysis of
the tax revenues that school districts have not received. At this time, the only data
available are the approximate number of agreements and the total fees collected. To
accurately determine the lost revenues, it is necessary to know the exact assessment
ratios negotiated, the exact length of terms of the agreements, the exact mill rates
incorporated in the agreements, etc.
A preliminary estimate of the total school revenues that would have been collected in
the state can be made using available data. The methodology incorporated in this analysis
assumes average mill rates for school districts, counties and cities. These averages are
those published in the South Carolina Budget and Control Board's June 1999 edition of
"1998 Local Government Finance Report, Fiscal Years 1991 to 1997." This analysis
assumes that all fee agreements were negotiated from 10.5% to 6%. It also assumes that all
of the property included in the FILOT was in unincorporated areas of the counties
(industrial property is generally outside city limits).
Statewide, the average county mill rate in FY 1997 was 54.5 mills. The average school
mill rate in FY 1997 was 136.3 mills. The school millage represents 71.4 percent of the
total millage burden on real property. Of the $226 million in fees collected to date,
roughly 71.4% was generated by the mill rates assessed by the schools. Assuming the school
districts received their prorated share of the fees generated from the total millage
applied to the FILOT (71.4%), the schools would have received approximately $161.4 million
of the $226 million in fees. The county governments would have received 28.6% or
approximately $64.6 million over the last ten years or so.
However, if there were no FILOT agreements in place, the real and personal property
would have been assessed at the 10.5% ratio rather than the FILOT lowered ratio of 6%. If
this had been the case, the property that has generated the $226 million in fees since
1987 would have generated $395.5 million instead of $226 million. Of the $395 million,
school districts would have collected 71.4% or $282.4 million about $121 million
more than they received under the FILOT agreements. In 1998 alone, school districts would
have received an additional $52.5 million more than they actually did.
It must be noted however, that the economic development community argues that the
schools did not forego any revenue. They argue that if the incentives had
not been offered to the companies, then the companies would have located in another state,
and the school districts would have received none of the roughly $161 million that they
did receive. There is substantial evidence that this is the case in many of the larger
economic development projects. South Carolina's property taxes on manufacturing
investments are substantially higher than our neighboring states. Without some method of
offsetting the higher property tax burden on manufacturing, South Carolina would be in
distinct disadvantage relative to its neighbors.
It appears that as long as the school districts receive their prorated share of the
fees a company pays, regardless of whether the assessment ratio is 10.5%, 6% or even 4%,
the burden on the school districts from any reduction in assessment ratios will be on an
relatively equitable basis with the other local taxing entities. However, even this
statement needs to be qualified since as was stated earlier, other local governments such
as counties and cities are less dependent on property taxes than schools do. In addition,
any incentive that lowers a company's tax payments needs to be evaluated on a cost
benefit basis to the incremental burden placed on the schools and the local government by
the new company and their employees.
V. Overview of other States' Incentives
From the information provided to this point, it is clear that concern is
growing in South Carolina over the potential adverse effects of various economic
development incentives used by state and local governments to stimulate economic
expansion. In particular, the possibility of such programs impacting the ability of these
governments to provide needed public infrastructure, including public schooling, has
reached the level of public discussion. This heightened awareness has been partially
stimulated by the on-going and much publicized discussion in Horry County between the
Horry County Board of Education and the Boroughs and Chapin Company over a proposed long
term Multi-County Development Project. Also, a recent five part series of articles in the Baltimore
Sun focusing on the proliferation of state and local economic development projects,
featured South Carolina as an example of excesses in this area. To quote:
"On its current course, South Carolina will deliver what incentives critics have
been expecting for years: a striking case of incentives trauma. As the job war escalated,
critics figured, eventually some state would give away so much tax revenue in the name of
luring companies that it would jeopardize its fiscal health. South Carolina is that
state."
With such dramatic prose being printed on the subject, it is not surprising that the
discussion has risen to a new level in recent months.
Not only do the incentives remove potential revenue sources for funding infrastructure
needs, but the associated employment and population growth generates ever-expanding
pressures on existing facilities and programs. The question being asked is whether local
governments have been utilizing the appropriate cost/benefit formulation when examining
the desirability of such incentives. Current methods of evaluation tend to ignore the fact
that new jobs in an area generate new residents to fill them, which is then followed by
the need for new schools, roads, police, fire protection and other governmental services.
Of particular concern in the above discussion is the potential impact of the state's
economic development incentives programs on the ability to provide adequate funding for
public education. Recent occupants of the Governor's Office have made K-12 education a
cornerstone of their administrations. Much discussion, planning and policy initiatives
have centered on improving South Carolina's standing in various measures of success in
public education. Such efforts are often discussed in terms of the positive impact that
improvements in education will have on economic development. The potential conflict is
thus obvious. Certain economic development tools (incentive programs) may adversely effect
the success of efforts to improve another important element in this process (K-12
education). This is indeed the heart of the issue currently being played out in Horry
County.
The purpose of this section of the report is to provide a summary of the evidence
available on whether the above issue is viewed as significant for South Carolina's
neighboring states. Also, evidence was collected to see if any steps have been taken in
these areas to protect school revenues from being eroded by development incentives.
Information is provided for Georgia, North Carolina and Tennessee. To set the stage,
trends in the financing of K-12 education are examined in the following section.
Information is provided for the country as a whole, South Carolina, and the three
neighboring states mentioned above. Following this, the situation is considered for each
neighboring state in turn--Georgia, North Carolina, and Tennessee. We then consider the
implication of this information for South Carolina.
Revenues and Expenditures for Public Elementary and Secondary Education
The average expenditure per student in U.S. public schools rose significantly
during the late 1980's. Between 1985-1986 and 1990-1991, current expenditures per student
in average daily attendance grew by 14 percent. This growth slowed significantly during
the first part of the 1990's, increasing by 5 percent between 1990-1991 and 1996-1997. By
1996-1997, the estimated current expenditure per student in average daily attendance was
$6,564.
Revenues raised for public elementary and secondary education totaled about $305
billion for the 1996-1997 school year. This revenue ranged from a high of $34 billion in
California, which serves, about one in every eight students in the country, to $643
million in North Dakota, which serves about one in every 380 students. Nationally,
revenues increased an average of 6% over the previous year. In the 1996-1997 school year,
South Carolina had a total of about $3.9 billion available for K-12 education from all
sources. This total is smaller than that found for any of the neighboring states. Georgia
had total revenues of 48.9 billion, North Carolina had $6.5 billion and Tennessee totaled
$4.4 billion. However, these states had larger student populations.
On a per pupil basis, South Carolina's expenditures compare more favorably to its
neighbors than do the total available revenue data. For the 1996-1997 school year, South
Carolina spent $5,050 per student as measured by the Fall 1996 student membership. This
figure compares to $5,369 for Georgia, $4,929 for North Carolina, and $4,581 for
Tennessee. Thus, on a per student basis, South Carolina lags behind only Georgia in terms
of K-12 spending among neighboring states.
Of particular interest to this study is the source of revenues for funding public
(K-12) education. The U.S. Department of Education reports data on four specific sources
of revenues for educational funding. These are:
Federal revenues include direct grants-in-aid to schools or agencies, funds
distributed through a state or intermediate agency, and revenues in lieu of taxes to
compensate a school district for nontaxable federal institutions within a district's
boundary.
Intermediate revenues come from sources that are not local or state agencies but
operate at an intermediate level between local and state educational agencies and possess
independent fund-raising capability.
Local revenues include revenues from such sources and local property and non
property taxes, investments, and revenues from student activities, textbook sales,
transportation and tuition fees, and food service revenues.
State revenues include both direct funds from state governments and revenues in
lieu of taxation. Revenues in lieu of taxes are paid to compensate a school district for
nontaxable state institutions or facilities within the district's boundary.
Nationally, the state share of revenues for public elementary and secondary schools had
grown steadily for many decades. This trend, however, began to reverse in the late 1980s.
Between 1986-1987 and 1994-1995, the state share of total revenues dropped from 49.7
percent to 46.8 percent. At the same time local (and intermediate) share increased from
43.9 percent to 46.4 percent. The federal share also rose slightly during this period,
from 6.4 percent to 6.8 percent.
The distribution of revenues by source for the states surrounding South Carolina varies
a fair amount from these national averages. For example, school districts in all four
states rely more on state revenues for K-12 revenues than the 46.8 percent national
average for 1996-1997. North Carolina schools receive 65.4 percent of their revenues from
state sources; Georgia's state share is 53.7 percent; South Carolina schools average 52.5
percent from state funds; and Tennessee gets 48.5% from state coffers. To a somewhat
lesser extent, school districts in these states also rely more heavily on federal funding
than do all schools nationally. For example, 8.5 percent of Tennessee's school funding and
8.4 percent of South Carolina's come from federal sources. The national average is 6.8
percent. North Carolina and Georgia follow with 7.2 percent and 6.8 percent respectively.
With state and federal sources playing a larger role in funding K-12 education in these
southern states, it follows that the local shares are smaller that the 46.4 percent
national average. Indeed, North Carolina drew on local sources for only 27.4 percent of
primary and secondary funding during the 1996-1997 school year. South Carolina schools
average 39.1 percent from local sources and Georgia total 39.4 percent locally. Tennessee
was closest to the national average at 42.9 percent from local taxes.
While financial support for public elementary and secondary education has grown
significantly in the U.S. in the past, the rate of growth has decreased during the 1990s.
Also, there appears to have been a reversal in the trend for an expanding reliance on
state funds for public schools to more responsibility falling on local taxpayers. However
the four southern states reviewed all rely more heavily on state and federal dollars for
support than do the rest of the country.
Development Incentives and School Financing: The State of Georgia
The State of Georgia lists a number of traditional economic development incentives
on the home page of the Georgia Department of Industry, Trade and Tourism. Included are
Income Tax Credits for job creation, investment generation and other activities such as
child care, retraining and skills education. These programs are based on a
"tier" system which ranks the state's counties from the least to most developed
and the tax credits being scaled accordingly. The state also offers sales tax exemptions
for manufacturing materials and machinery, inventory, pollution control equipment,
material handling equipment and electricity if it total 50 percent of product
manufacturing costs.
With the traditional reliance of local funding for schools coming from ad valorem taxes
on property, in particular real property, much of the concern about development incentives
and public education funding is focused on those incentives that lower property tax
payments to entice business development. In Georgia, there is no statewide property tax
abatement program. The only property tax exemptions listed among the state's incentives
are those that apply to computer software and manufacturer's inventories. In the case of
industrial development bond financing, local communities in Georgia are sometimes able to
offer companies property tax relief, depending on the type of Development Authority
established and its legal powers. Such exemptions can occur if the Development Authority
is a Constitutional Development Authority (set up by local constitutional amendments and
given such power) and if the Authority is the legal owner of the property under a "sale and leaseback" arrangement. If the Development Authority does
not have the power to grant exemption but does have legal title to the property, the
property financed by industrial development bonds is exempt from ad valorem taxation, but
the leasehold estate owned by the company is subject to property taxes. These taxes are
lower than if the company actually had title to the property since the leasehold estate is
assessed at a lower rate than titled property.
Given the Development Authority option, local governments in Georgia are able to employ
property tax reductions and abatements to attract employers to their communities. It also
appears that such incentives are used quite frequently by localities. In a report to the
Georgia Budgetary Responsibility and Oversight Committee, Keith Ihlanfeldt listed four
major concerns over local use of the property tax as a development incentive. These are:
The system pits local communities against each other which enhances the companies
bargaining power relative to the communities. Thus, local areas may give away more than
they would have without this competition.
The "playing field" is not even. Communities vary significantly in their
ability to offer property tax incentive. Thus, communities which stand to gain most from
job creation are those who can least afford the loss of property tax revenue.
There is at least a perception that some communities are offering abatements without
the legal authority to do so.
There is a concern that some communities are trading better schools and other public
services for jobs. This will adversely impact the long term future of the community and
state.
The extent and nature of local property tax abatements and reductions for economic
development purposes in Georgia is not know since there is no organized or central
reporting mechanism. It is clear from the above, however, that the possible trade off
between job creation and funding public schools is an issue of concern with the current
development efforts in the state of Georgia. All four of the points highlighted above
reflect this possibility.
In discussions with several individuals who follow educational financing issues in
Georgia, it did not appear that this was a controversial item for debate or concern. One
individual mentioned that in Georgia, areas could pass a local sales tax option with the
proceeds to be used for building new schools. This option was viewed as a potential offset
to any taxes lost through property tax abatements. Several of these same individuals were
aware, however, of the discussion of these issues in South Carolina.
Development Incentives and School Financing: The State of North Carolina
Economic development incentives offered in North Carolina are outlined in the William
S. Lee Quality Jobs and Business Expansion Act and administered by the North Carolina
Department of Commerce. This legislation, passed in 1996, currently serves as the
blueprint for economic development efforts in the state. Like Georgia, North Carolina has
a tiered development strategy, which ranks counties by their development level and scales
the development incentives accordingly. The incentives offered involved state level tax
credits for investing firms based on such items as employment creation, investment in
machinery and equipment, investing in central administrative office property, expenditures
on research and development, plus credits for development zone projects.
At the local level, abatements or reductions in property taxes for development purposes
are illegal and virtually non-existent. There have been a few situations where local
governments have attempted to circumvent this law by offering partial rebates of tax
payments to firms locating in their jurisdiction. It is believed, however, if this
practice expands, its legality will certainly be tested in court.
Local governments are able to offer other forms of incentives to attract business to
their area. They can and do offer land, roads, utility connections and other
infrastructure support as economic development incentives. Local areas also benefit from
the statewide income or franchise tax credits outline in the first paragraph of this
section. It is the case, however, that property tax abatements or reductions are not
allowed in North Carolina.
Local infrastructure needs, including support for public schools, could be an issue as
resources are diverted to support the location of new firms in North Carolina communities.
However, the connection is less direct than a situation where property taxes are reduced
to promote economic development. In discussions with individuals who are knowledgeable
about economic development incentives in North Carolina, the pressure of local incentives
on funding of public schools is not currently an issue of concern in this state.
Development Incentives and School Financing: The State of Tennessee
The State of Tennessee offers a variety of tax incentives for firms locating in the
state. Included are a 1% corporate excise tax credits for the purchase, installation
and/or repair of qualified industrial machinery, the purchase of qualified equipment
associated with the required $500,000 capital investment by a distribution or warehouse
facility, and the purchase of computers, computer networks, and the like purchased to
reach the required capital investment in order to qualify for the jobs tax credit. The
state also provides a tax credit of $2,000 (or $3,000 in economically distressed counties)
per new full-time employee for businesses that meet requirements of a minimum 25 new
full-time jobs and additional capital investment of $500,000 and offer at least a minimal
health care plan. Reduced (or elimination of) sales and use taxes are also granted on a
variety of business purchases such as certain industrial machinery and equipment and use
of energy fuel and water.
The situation with respect to local incentives involving property taxes in Tennessee is
similar to that found in Georgia. A local Industrial Development Authority can issue
industrial bonds a project. As the legal owner, the Authority is exempt from property
taxes. The local government then negotiates a fee-in-lieu-of-taxes with the firm which is
below the prevailing real property tax rate. This practice is widespread in Tennessee with
an estimated 90% of such activity involving manufacturing facilities.
Unlike Georgia, however, Tennessee has had a "disclosure law" covering such
activities since 1992. Specifically, legislation passed in Tennessee requires:
"All economic development agreements should be reduced
to writing and submitted to the chief executive officer of each jurisdiction in which the
property is located and to the comptroller of the treasury, for review, but not approval.
The agreement may be submitted in advance of its execution but must be submitted within
ten days after its execution. The name of private business entities which are parties to
the agreement may be obscured on copies of agreements submitted in advance of their
execution. (Acts 1992, ch. 1000, para 3.)"
While this reporting requirement does not involve approval of such agreements, it could
provide a method of keeping track of the pervasiveness of such activities and identify
those areas where the funding for other local needs (such as public schools) might be at
risk.
Thus, like Georgia, Tennessee has a local economic development system which could
potentially endanger the ability to fund schools from local property tax revenues. Such
discussion has recently occurred in Nashville where a package of both state and local
incentives was put together to attract a Dell Computer plant. Concern centered on the
relatively low average wage of the plant and the opportunity costs of the concessions
given. To this point, however, the issue of school financing and local development
incentives has not become an issue of major concern in Tennessee.
Summary
This section examined the relationship between local economic development
incentives and funding of local schools for several southern states. The intent was to
provide a brief overview of the economic development scene for South Carolina's
neighbors and the degree to which public education funding may be at risk because of these
programs.
All of South Carolina's neighbors have a similar portfolio of state level
economic development incentives. In terms of local economic development incentives and
property taxes in particular, differences do exist between this group of states. First, in
North Carolina, abatements or reductions in real property taxes for development purposes
do not exist. Other incentives can be offered, but tapping the local property tax base,
which is a major source of school revenues, is not one of the choices. In Georgia and
Tennessee, local development authorities become "owners" of the property and as
such are not subject to property taxes. Reduced fees are assessed which in essence lowers
the actual tax rate on the property of concern. None of the states contacted, however, had
an economic development incentive program similar to South Carolina's multi-county
business park with special source revenue bonds.
In terms of special protection for schools from local development efforts, no
evidence of such regulations or policies were found. Discussions with local and state
development officials did not turn up a real feeling of concern of this issue. As noted,
Tennessee has had some discussion over the wisdom of certain large scale, high profile
projects but none where the specific focus was on funding of local public education. Also,
as one individual from North Carolina noted, South Carolina plays the economic development
game with a much larger and varied set of development tools than any of its neighbors.