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Recycling of "Big Box " Space by Karen Eilers
Lahey, Department of Finance, University of Akron, February, 1999
A big box facility is a very large building that has at least 50,000
square feet of space. There are few interior walls, and shelves
or clusters of merchandise divide different parts of the store.
The shelves can reach 12 to 15 feet high. Examples of users for
this type of space include discount retailers such as K-Mart, Target,
and Wal-Mart and home building supply stores Home Depot and Lowe's.
This study utilizes a survey instrument to determine the adaptive
recycling of vacant big box space in Ohio. Participants describe
this type of space in their market area, with retail and industrial
tied for first place, followed by supermarkets. Other uses include
entertainment, restaurants, medical, office, and storage. Buildings
that contain retail and industrial occupants are the ones most often
vacated, with merger commonly cited as the explanation. Part two
of the survey asks participants to describe a vacant big box space
that they have recycled.
Eighty-five percent of the buildings are stand-alone facilities
rather than being housed in strip centers or malls. These properties
remain vacant for at least 12 months. In order to successfully recycle
the space agents have to be more creative. Problems that arise include
zoning and city code difficulties, environmental and structural
problems, and inaccurate estimates of the costs. Commercial real
estate agents are increasingly confronted with the problem of what
to do with these vacant big box spaces. Answering the call, they
are finding new and creative ways to meet this challenge.
Uses of Information technology in
the Real Estate Brokerage Industry by Michael T. Bond, Cleveland
State University, Finance Department, April, 1998
This study represents the results of a survey conducted of the
Ohio real estate brokerage industry. The results clearly indicate
that the real estate brokerage industry as a whole is making good
use of available technology. Moreover, there is a strong firm size
effect present in the real estate brokerage industry. That is, larger
brokerage firms are more able/willing to employ and provide technology
related services to current and potential customers.
The Changing Structure of Real Estate
Brokerage Industry by Michael T. Bond, Cleveland State University,
Department of Finance, August, 1997
This study conducts a thorough investigation of the structure
of the real estate brokerage industry by examining both principal
brokers and their overseeing Boards. The results indicate that the
real estate brokerage industry is in the period if of transition
that is changing the way firms do business.
Additionally, both a small firm effect and a large firm effect
are found. The largest quartile of firms currently offer a very
different percentage of services than other firms and plan to continue
this trend in to the future. Small firms are anomalous in that they
receive a mach smaller percentage of their revenue from both residential
customers and brokerage services.
An Analysis of the Ohio Legislation
Requiring Seller Disclosure of Property Condition by Gary S.
Moore, Jeffery P. Gray, and Lucas Fernandes, Departments of Finance
and Real Estate, University of Toledo, January, 1997
This study attempted to evaluate the value of a mandatory property
condition disclosure form now used in Ohio real estate transactions.
From three statewide surveys of Ohio buyers, real estate agents
and attorneys, strong support for the use of the form was found.
A high rate of compliance with the law was found. The layout of
the form received moderate support.
An important purpose of the legislation to assure the availability
of adequate and reliable information was supported. A significant
decline in the number of buyer "surprises" was found when compared
to a 1991 study. One desired result from the disclosure process
was a decrease in the amount of litigation. Unfortunately, the survey
results indicated that no substantial decrease in litigation has
occurred.
The Effect of Public School Quality
on Residential Property Values by Donald R. Haurin, Departments
of Economics and Finance, The Ohio State University, October, 1996
This study focuses on explaining variations in real constant-quality
house prices in jurisdictions located in multiple MSAs. Using a
hedonic house price framework, we test competing theories of house
price determination. Using two variants of the random coefficients
model, we find that public school quality has a very large impact
on real constant-quality house prices. Our results suggest that
capitalization of school quality differences occurs on a per lot
basis rather than per square foot of land. Also important to the
explanation of variations in house prices are variables derived
from urban theory, such as distance to the CBD, and from the amenity
literature, such as a community's crime rate, arts, and recreational
opportunities.
A particular focus of our study is analysis of the impact of variations
in public school outcomes on real constant-quality house prices.
This focus results from the importance of school quality to a household's
locational choice (Graves and Linneman, 1979) and from the importance
of public schools in models of local public taxes and expenditures.
We find that a measure of student achievement is very important
in explaining spatial variations in real constant-quality house
prices.
Home Inspections and Their Impact
on Residential Sales by James R. Webb, Department of Finance,
Cleveland State University, September, 1996.
Overall, it appears that most salespeople/brokers have had deals
"killed" because of home inspections, but all the respondents were
generally positive about the general effects of home inspectors.
However, almost universally it is believed that home inspectors
should be licensed. These results differ little by region, gender,
years in real estate sales, education level, income level, or age
and thus are quite robust.
An Analysis of Ohio's Residential
Property Disclosure Form by Karen Eilers Lahey, University of
Akron, Department of Finance, 1996
The purpose of this study is to examine the effectiveness of Ohio's
recent adoption of a mandated residential property disclosure law.
Two different questionnaires are developed to solicit the viewpoints
of buyers and of highly successful real estate agents. A random
sample of 900 buyers of residential property during the period of
July, 1994 to June, 1995, are selected for one questionnaire, and
the other is sent to 200 very successful real estate agents.
Results indicate that 45.3 % of buyers report that after closing
they found problems with the property that are not listed on the
on the property disclosure form. There are statistically significant
differences by type of mortgage used to finance the purchase of
the home, age of the buyer, and first-time versus repeat buyers.
Suggestions for possible changes in the form are based on the findings
for both the buyer and agent questionnaire.
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