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This makes Pottawatomie County the
control county from an experimental
design perspective. The authors were
able to quantify the impacts using this
methodology, and the methodology
suggested in the flow diagram in
Figure 1.
The computer model used to generate
multipliers is IMPLAN. The data
(1997) for the model come from MIG,
Inc., Stillwater, MN. Dr. John Leatherman,
Extension Specialist in the
Department of Agricultural Economics,
manipulated the IMPLAN Model and
provided the authors with detailed
multipliers.
Literature Review
Spears (2000) surveyed a random
sample of household phone numbers
in northeast Kansas in 1999 for his primary
data collection. The telephone
survey tried to contact 1038 households.
Of those contacted, 406 provided
usable data. The respondents
lived in Jackson, Brown, and Doniphan
counties. The purpose of the
study was to collect the perceptions
and attitudes of residents who live
near the four new NAG properties. He
discov-ered that women rated the
economy more improved as compared
to men.
He also discovered that as the age of
the respondents increased, they were
more likely to judge NAG to have a
negative impact. Employed people felt
that the income benefits were more
positive to the area economy than
those who were retired or selfemployed
felt. Higher income people
were less likely to view NAG as benefiting
the local cultural and social life. A
majority of those responding were
optimistic that the local economy will
improve with or without NAG. Finally,
a majority (70.9 percent) supports the
idea of more restrictions on NAG
developments.
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