Daniel M. Ihara, Ph.D., Instructor, HSU Department of Economics
(With Alisande Evans, HSU Economics Student
Researcher)
A Project of the Humboldt State University Department of Economics
With Partial Support
Provided by the
2004
Abstract
This study
estimates the overall economic impact of
I. Introduction
What is the impact
of Humboldt State University (HSU) on the local economy? That question was
addressed in a 1998 report prepared by Peter Kenyon of HSU School of Business
and Economics. That study examined population, employment and expenditures by
HSU, the HSU Foundation, the
Impacts of California State University, Sacramento [CSUS] on the Sacramento Region addressed this question for CSUS, and offers an instructive alternative example of how to approach the question. Specifically, the CSUS report focused on employment impacts. Total employment impacts were divided into three categories: “direct,” “indirect,” and “induced.” Estimates of these were totaled to arrive at total economic impacts. Direct benefits consist of measurable economic activity derived exclusively from the university. Indirect benefits represent the creation of additional economic activity that results from linked businesses, suppliers of goods and services, and provision of operating inputs. Induced benefits measure the additional consumption expenditure of direct and indirect sector employees. Total employment impacts for CSUS used an employment multiplier of 1.29.
The present study uses expenditure information to estimate the economic impact of HSU, including auxiliary institutions such as the HSU Foundation, Center Activities, and Associated Student operations. This study includes direct expenditures as well as the indirect and induced effects of these expenditures. These direct, indirect and induced impacts are quantified in a spreadsheet. This report discusses the data contained in each cell of that spreadsheet, including the assumptions that were made (a technical appendix describes how data were obtained). The result is a very transparent and explicit, simple, yet comprehensive model for measuring HSU’s impact on the local economy[1]. Finally, suggestions are made for further research to improve data and to refine parameters as well as for updating results.
II. Impact Data and Analysis
A. Direct Impacts
1. HSU and auxiliary
institutions (
2. Student expenditures
HSU’s statistical profile states that the geographic origin
of 24.8% of HSU’s student body is
Assuming 12.4% of HSU students live
at home implies that 87.6% do not live at home. In fall semester 2003 there
were 7,092 full-time equivalent students enrolled at
3. Construction
Determining what annual amount to use for construction is problematic: HSU construction projects often run for several years with costs spread out over that time, and cost estimates not readily available for individual academic years. Moreover, annual expenditures for construction projects fluctuate considerably more than the overall HSU budget.
In 2003/2004 two projects, the Energy Conservation Project and the Forbes Complex Renovations Phase 1, had a total construction cost of $7,873,167. A rounded figure of $7,800,000 is used for direct annual HSU construction expenditures.
4. Total direct expenditures
Total direct expenditures by HSU, HSU auxiliary institutions, HSU students, and for HSU construction is $177,470,737.
B. Multiplier Effects
The multiplier effects estimated below
use the California Trade and Commerce Agency job multiplier for
The
California Trade and Commerce Agency suggests a job multiplier of 1.23 for the
industrial classification “education” for
It
is more challenging to apply the jobs multiplier to non-employment based
expenditure data. A crude adjustment can be made to convert the jobs multiplier
into an expenditure multiplier. Our analysis suggests a crude, but conservative,
expenditure multiplier of 1.11.[3]
Applying this multiplier to total non-payroll expenditures by HSU, the HSU
Foundation, the
Estimating
multiplier effects from construction is problematic. Data were not obtained on
the percentage of construction costs that are labor and that are materials and
operating expenses. Furthermore, labor may be local (from
Our crude,
conservative multiplier analysis indicates that total direct spending
associated with HSU results in an additional $19 million flowing into the
III. Employment
Full-time equivalent employment (FTE) for 2002-2003 was
HSU 1,171
University Center 65
HSU Foundation 146
Associate Students 7
_____
Total 1,429
For comparison FTE for other major County employers are:
Pacific Lumber 914*
Eureka City Schools 592
_____
Total 4,425
*Not including 15 part-time and 50-60 seasonal.
In terms of numbers of employees the above indicates
In terms of payroll (wages plus benefits):
HSU $75,981,055
University Center 4,246,134
HSU Foundation 5,994,287
Associated Students 100,494
__________
Total $86,321,970
For comparison payroll (wages plus benefits):
Pacific Lumber 62,000,000*
Eureka City Schools 36,948,121
__________
Total $237,498,816
*Estimate
From the above,
not counting related institutions, HSU is the second largest employer in the
County in terms of payroll. HSU’s payroll, including related institutions, is
94% of the largest employer the
The
IV. Suggestions for Further Research
As pointed out earlier in
this report, more research is needed on the percentage of HSU students who live
at home. Also for those whose geographic origin is outside the County, research
is needed on the percentage of their expenditures that are made within
Several questions needed
to be addressed in terms of HSU construction costs. For example, we would like
to know the percentage of construction costs are labor and non-labor expenses.
Of the labor costs, we would like to know the percentage that is paid to
non-local labor, and the percentage of total spending by non-local labor that
occurs within
The multiplier analysis used in this study is very crude. Further research needs to be done that makes use of the IMPLAN economic impact model.
V. Sources Cited
Kenyon, Peter (1998) Impact on the Humboldt
Sacramento Regional
Research Institute (2003). Impacts of
[1] Because
of
[2] Note
that students from
[3]
According to the California Trade and Commerce Agency, the industry spending
jobs multiplier for education in
[4] Note
that a large percentage of HSU students (approximately 75%) come from outside
of