Empirical Evidence on Land Values, Property Values, and Population Density

Author(s):  
Alan W. Evans
2016 ◽  
Vol 12 (5) ◽  
pp. 84 ◽  
Author(s):  
Nur Hafizah Ismail ◽  
Mohd Zaini Abd Karim ◽  
Bakti Hasan Basri

<p class="a"><span lang="EN-US">Flood disaster has become a natural concern to the land owners where it raised a critical issue in term of land value depreciation. Previous studies have discussed the issue of potential decline in the value of land which are located on the flood-liable area. However, in Malaysia, current studies on flood impact are considered limited and do not focus on the effects of flood on land property. With the Hedonic Pricing Model (HPM) approach, we investigate the effect of flood on agricultural and industrial land property values in the urban and rural areas in Malaysia. The analysis indicates that the agricultural and industrial land values in the urban and rural areas have significantly decreased due to flood events. This study will benefit the land owners to understand the flood impact on land value and also the factors that contribute to the loss in the land value. It becomes the responsibility of the land owner to put the asset and property to its best use, given the presence of the flood. In addition, this study will help the policy maker to design and allocate land development efficiently in the urban or rural areas for agricultural and industrial project to ensure depreciation value of the land is minimized in the case of flood.</span></p>


2018 ◽  
Vol 11 (5) ◽  
pp. 808-827 ◽  
Author(s):  
Becca Castleberry ◽  
John Scott Greene

PurposeOklahoma has seen rapid growth in the development of wind energy over the past decade. Residents are concerned about the negative impacts of turbines such as noise or their appearance. This has raised concerns about property values. Thus, this paper aims to examine and quantify the overall impact of wind turbines upon real estate prices in Western Oklahoma.Design/methodology/approachSales prices and the history of approximately 23,000 residential real estate records for both platted and unplatted properties in five counties were examined prior to the announcement of construction, after announcement and after construction. A hedonic analysis was undertaken to examine the real estate prices of the properties near wind farms.FindingsWhile there may be isolated instances of lower property values for homes near wind turbines, results show no significant decreases in property values over homes near wind farms in the study area. Similar results are found for the unplatted properties.Practical implicationsThis paper highlights that in spite of mixed attitudes toward wind farms and misconceptions regarding the link between turbines and property values, Oklahoma’s growing wind industry can continue to thrive without negatively impacting nearby home and land values and prices.Originality/valueAlthough there have been numerous studies examining the relationship between wind turbine locations and real estate prices, no study has combined the large quantity of records (over 23,000) as well as both platted and unplatted locations.


1976 ◽  
Vol 8 (3) ◽  
pp. 271-287 ◽  
Author(s):  
K E Haynes ◽  
F Y Phillips ◽  
G M White

The paper presents a model of residential property values which is more complete and theoretically grounded than previous regression studies of environmental pollution and land values. By using the distribution model of linear programming, a constrained regression hypothesis is presented which strongly interacts with the theory that generated it. The full use of dual evaluators for estimation purposes is a central feature of the new model, and is an innovative contribution. It is not necessary to observe the purchase price of individual properties, since these (and interval estimates of other offer prices) follow theoretically from the regression results. A market solution to the housing-allocation problem having been characterized, the consumer's decision problem is considered, and his solution is shown to be in general incompatible with market conditions. This incompatibility is resolved by the use of a multipage or decomposable linear program which incorporates both consumer goals and market conditions. The method of solution of this problem reflects the gain of information that leads to the purchase of a residence by each consumer, and demonstrates the value of the ‘decomposition principle’ in consumer theory. An illustration of the consumer's point of view is developed by using the noise problem of a neighborhood airport.


Author(s):  
Marie T. Wildenthal ◽  
Jesse L. Buffington

Documented are the during- and after-construction effects of widening a highway. Between 1991 and 1993, a 3.75 km (2.33 mi) section of State Highway (TX-21) in Caldwell, Texas, a town of 3,000, was widened for a continuous two-way left-turn lane with curbs and gutters. Data collected during and after construction include information about the abutting businesses' estimation of the impact of construction on their businesses profits and property values and on the traffic volumes, travel times, and accident rates of the highway. The number of most businesses' usable parking spaces, customers per day, and full-time and part-time employees decreased slightly during construction. Most business managers thought that sales decreased. Reported sales figures showed a 5 percent decrease, which was less severe than the business managers had estimated. Appraised abutting property values fell between 1990 and 1992, while land values increased. Construction expenditures in Texas totaled $6.095 million. The Texas input-output model estimates the impact of these expenditures to be $22.5 million in additional output and 364 jobs for the statewide economy, including $7.5 million in additional output and 121 jobs for the Caldwell economy. The benefit-cost ratio was 1.71—that is, the motorists are receiving $1.71 in benefits for every dollar spent on the project.


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