scholarly journals Landscape Quality and the Price of Single Family Houses: Further Evidence from Home Sales in Greenville, South Carolina

1999 ◽  
Vol 17 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Mark S. Henry
Keyword(s):  
South Carolina ◽  
House Prices ◽  
House Price ◽  
Price Premium ◽  
Single Family ◽  
Home Sales ◽  
Landscape Quality

Abstract In this study, the contribution of the quality of landscaping to house prices was estimated for a sample of 218 home sales in Greenville, SC, from 1996 to 1997. The estimates were made using regressions of house price on house characteristics, location and landscape quality. The results obtained in this research were similar to an earlier study of Greenville home sales, from 1991 to 1993. For homes with the same square footage and other house characteristics, selling prices were 6% to 7% higher if landscaping quality was judged excellent rather than good. The price premium obtained by upgrading landscaping from average to good was approximately 4% to 5%.

scholarly journals The Contribution of Landscaping to the Price of Single Family Houses: A Study of Home Sales in Greenville, South Carolina

1994 ◽  
Vol 12 (2) ◽  
pp. 65-70
Author(s):  
Mark S. Henry
Keyword(s):  
South Carolina ◽  
Market Price ◽  
House Price ◽  
Single Family ◽  
Sales Price ◽  
Percentage Points ◽  
Home Sales ◽  
Landscape Quality ◽  
Using Data

Abstract The market for housing is often analyzed from the hedonic perspective where the characteristics of the house and its location together influence its market price. In this study, the contribution of the quality of landscaping to the house price is estimated. Using data from a sample of 288 recent home sales in Greenville, South Carolina, a linear in the logs regression of house price on house characteristics, location and landscape quality was estimated. A house that obtained an excellent landscaping rating from a local landscaping professional could expect a sales price of about 4 to 5 percentage points higher (depending on the size of the lot) than equivalent houses with good landscaping. Homes with landscaping appeal far below (fair or poor) neighboring homes with excellent landscapes can expect a sales price 8–10% below equivalent homes with good landscaping appeal.

scholarly journals Impact of Improved Landscape Quality and Tree Cover on the Price of Single-Family Homes

2009 ◽  
Vol 27 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Andrea Stigarll ◽  
Emmett Elam
Keyword(s):  
Tree Cover ◽  
Selling Price ◽  
Property Value ◽  
Single Family ◽  
Sale Price ◽  
Average Quality ◽  
Excellent Quality ◽  
Home Sales ◽  
Landscape Quality

Abstract Impacts of the quality of landscaping and percentage of tree cover on home prices were estimated from a sample of 75 home sales within the Melonie Park neighborhood in Lubbock, TX, from 2003 to 2005. Estimates were derived using a regression of house sale price on house characteristics, landscape quality, and tree cover. Homes that improved landscaping from average quality to good or excellent quality increased selling price by 5.7 and 10.8%, respectively. Approximately 30% of the increase in sale value was accounted for by added tree cover. The results show that each $1.00 invested in upgrading an average landscape to excellent quality returns $1.35 in added property value.

scholarly journals Landscape and House Appearance Impacts on the Price of Single-Family Houses

2012 ◽  
Vol 30 (4) ◽  
pp. 182-188 ◽  
Author(s):  
Emmett Elam ◽  
Andrea Stigarll
Keyword(s):  
Positive Impact ◽  
Property Values ◽  
House Price ◽  
Independent Effect ◽  
Residential Property ◽  
Pricing Model ◽  
Single Family ◽  
Visual Appearance ◽  
Landscape Quality ◽  
House Value

This research examined the impacts of improvement in landscape quality and exterior house features on residential property values. These two combined factors are referred to as ‘curb appeal’ — i.e., the visual appearance of a property as viewed from the curb in front of a house. It is well understood regarding residential property that curb appeal affects house value, but a quantitative estimate of the size/magnitude of the effect is not available. This study developed a quantitative indicator of curb appeal, included it in a hedonic house pricing model, and determined its independent effect on values. Results confirmed that curb appeal has a positive impact on house value, with landscape and house appearance approximately equal in impact. With improved curb appeal, house price can increase up to 17%.

scholarly journals Characteristic Qualities Impacting Landed House Prices: Better homes, better livelihood

2017 ◽  
Vol 2 (5) ◽  
pp. 287
Author(s):  
Muhamad Hilmi Mohamad @ Masri ◽  
Abdul Hadi Nawawi ◽  
Edie Ezwan Mohd Safian ◽  
Ahmad Fawwaz Ahmad Saleh
Keyword(s):  
House Prices ◽  
Publishing House ◽  
House Price ◽  
Quality Data ◽  
Future Research ◽  
International Publishing ◽  
Hierarchy Process ◽  
Open Access Article ◽  
Structured Questionnaire

The research was conducted to find the characteristics quality of houses in Malaysia. The aim of this research was to produce the ranking characteristics of house qualities, and determining its weightages. The methodology used in this research was primarily by using the Delphi Method to ascertain characteristics quality and also Analytical Hierarchy Process to determine the ranking of the characteristics quality. Data collection gathered through a structured questionnaire that incorporates the element of Saaty’s Scale using variables outlined from review and interview. A theoretical framework of the research was established from this that will lead to future research model.Keywords: House Quality; House Price; AHP; DelphiISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

Assessing house prices in Germany: evidence from a regional data set

2016 ◽  
Vol 9 (3) ◽  
pp. 286-307 ◽  
Author(s):  
Florian Kajuth ◽  
Thomas A. Knetsch ◽  
Nicolas Pinkwart
Keyword(s):  
Interest Rates ◽  
House Prices ◽  
House Price ◽  
Single Family ◽  
Data Set ◽  
Content Type ◽  
Spatial Spillovers ◽  
Price Increases ◽  
Data Limitations ◽  
Value Add

Purpose With a view to the unconventional monetary policy measures implemented in the euro area in recent years, this study aims to investigate whether the recent house price increases in Germany are signals of an incipient overheating of the German housing market. Design/methodology/approach This paper presents a valuation measure for residential property based on a large and exhaustive regional panel data set for Germany. The fitted house prices from a panel regression at the district level, taking into account spatial spillovers, are taken as a measure of the fundamental equilibrium house prices, which can be aggregated for various regional subsets. Findings The estimation results suggest that apartment prices over the past years substantially exceeded the fundamental price suggested by the model, in particular in the big cities. Single-family houses appear to be markedly overvalued mainly in the cities. The low level of interest rates in recent years appears to have contributed to the emergence of misalignments. Originality/value Exploiting the variation across local housing markets, the estimation approach provides value-add for the estimation of house price valuation results in various regional subsets, as conventional time-series approaches to valuing property are subject to severe data limitations in the case of Germany.

International Real Estate Review

2011 ◽  
Vol 14 (1) ◽  
pp. 118-129
Author(s):  
Todd Henry Kuethe ◽  
Keyword(s):  
Real Estate ◽  
Predictive Accuracy ◽  
House Prices ◽  
House Price ◽  
Geographic Area ◽  
Repeat Sales ◽  
Hedonic Price ◽  
Single Family ◽  
Spatial Econometric ◽  
Econometric Methods

This study evaluates the ability of a range of popular aggregate house price indexes to predict house prices out-of- sample at the transaction level for a small geographic area. The analysis particularly addresses the utility of spatial econometric methods. The results suggest that spatial econometric methods, which more explicitly consider the spatial aspects of observed house prices, provide better predictive accuracy as compared to more traditional estimation techniques, such as the repeat sales index, a hybrid repeat sales-hedonic price index, and hedonic price models estimated through least squares. The conclusions are drawn from a sample of 38,984 single-family residential real estate transactions for the city of Milwaukee, Wisconsin over the years 2002-2008.

scholarly journals Characteristic Qualities Affecting Landed House Prices

2018 ◽  
Vol 3 (12) ◽  
pp. 11
Author(s):  
Muhamad Hilmi Mohamad @ Masri ◽  
Abdul Hadi Nawawi ◽  
Edie Ezwan Mohd Safian ◽  
Ahmad Fawwaz Ahmad Saleh
Keyword(s):  
House Prices ◽  
Publishing House ◽  
House Price ◽  
Quality Data ◽  
Future Research ◽  
International Publishing ◽  
Hierarchy Process ◽  
Open Access Article ◽  
Structured Questionnaire

The research was conducted to find the characteristics quality of houses in Malaysia. The aim of this research was to produce the ranking characteristics of house qualities and determining its weightages. The methodology used in this research was primarily by using the Delphi Method to ascertain characteristics quality and also Analytical Hierarchy Process to determine the ranking of the characteristics quality. Data collection gathered through a structured questionnaire that incorporates the element of Saaty’s Scale using variables outlined from review and interview. A theoretical framework of the research was established from this that will lead to future research model.Keywords: House Quality; House Price; AHP; DelphieISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

scholarly journals The role and significance of planning in the determination of house prices in Australia: Recent policy debates

2021 ◽  
pp. 0308518X2198894
Author(s):  
Peter Phibbs ◽  
Nicole Gurran
Keyword(s):  
Land Use ◽  
Housing Market ◽  
Land Use Planning ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Evidence Base ◽  
Urban Housing ◽  
Price Inflation ◽  
Depth Analysis

On the world stage, Australian cities have been punching above their weight in global indexes of housing prices, sparking heated debates about the causes of and remedies for, sustained house price inflation. This paper examines the evidence base underpinning such debates, and the policy claims made by key commentators and stakeholders. With reference to the wider context of Australia’s housing market over a 20 year period, as well as an in depth analysis of a research paper by Australia’s central Reserve Bank, we show how economic theories commonly position land use planning as a primary driver of new supply constraints but overlook other explanations for housing market behavior. In doing so, we offer an alternative understanding of urban housing markets and land use planning interventions as a basis for more effective policy intervention in Australian and other world cities.

scholarly journals Assessing the impacts of Airbnb listings on London house prices

2021 ◽  
pp. 239980832110018
Author(s):  
James Todd ◽  
Anwar Musah ◽  
James Cheshire
Keyword(s):  
Random Effects ◽  
Rapid Growth ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Positive Association ◽  
Sharing Economy ◽  
Local Context ◽  
Fixed And Random Effects ◽  
The World

Over the course of the last decade, sharing economy platforms have experienced significant growth within cities around the world. Airbnb, which is one of the largest and best-known platforms, provides the focus for this paper and offers a service that allows users to rent properties or spare rooms to guests. Its rapid growth has led to a growing discourse around the consequences of Airbnb rentals within the local context. The research within this paper focuses on determining impact on local housing prices within the inner London boroughs by constructing a longitudinal panel dataset, on which a fixed and random effects regression was conducted. The results indicate that there is a significant and modest positive association between the frequency of Airbnb and the house price per square metre in these boroughs.

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