The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices

This paper explores the relationships between accessibility, income segregation, and house prices in the Greater Sydney Area. Sydney is found to have reasonably even employment accessibility, reflecting the increasingly polycentric nature of the modern city; however, it also shows considerable income segregation and variance in property prices between different parts of the city. Entropy is used to examine the diversity and mixing of different income groups. Finally, hedonic price models using ordinary least square and geographically-weighted regression techniques to show the differing effects of employment accessibility on house prices in different parts of the city. The results show that accessibility has small to negative effects on prices in the most valuable areas, suggesting that other effects such as recreational access and employment type/quality may be important to investigate further in this context.

Do implicit prices show differences in tourists’ valuation on hotel attributes in different time periods and different markets? A case of Beijing

Purpose The purpose of this paper is to analyze the implicit prices of hotel attributes in different time periods and different markets. Design/methodology/approach With data from the travel meta-search engine, this paper chose 3- to 5-star hotels in Beijing’s central business district and use hedonic price models. Findings The results suggest that the attributes with significant implicit prices differ in different time periods; the same attributes with different implicit prices in different time periods; the same attributes with different implicit prices in different market segments. Originality/value This study may help to explain the different findings on the relationship between the attributes and room rates of Chinese star-rated hotels in different time periods, and will be useful in both revenue optimization efforts and the design of new hotels projects.

International Real Estate Review

Constructing multimodal stations is one of the considered ways to implement transit-oriented development (TOD), with the goal of synergizing land use and transportation to promote both greater transit accessibility and sustainability in urban areas. Improvements in such accessibility have led to an uplift in land value and housing prices. These price changes have been primarily studied by analyzing the effects of proximity to stations of a single line or multi-line mass rapid transit (MRT) system. However, little attention has been paid to investigating the effects of different types of multimodal MRTs and railway joined stations. The aim of this study is to investigate the different types of multimodal stations in Kaohsiung City, Taiwan. We use publicly available housing transaction data to construct hedonic price models. The results show that in the Kaohsiung MRT stations, an increase of 100 m in distance from the stations results in a TWD 258,000 decrease in the average housing price. The housing price elasticity with respect to a 1% increase in distance from these stations is -0.067%.

Pricing Models for German Wine: Hedonic Regression vs. Machine Learning

This article examines whether there are different hedonic price models for different German wines by grape variety, and identifies influential factors that focus on weather variables and direct and indirect quality measures for wine prices. A log linear regression model is first applied only for Riesling, and then machine learning is used to find hedonic price models for Riesling, Silvaner, Pinot Blanc, and Pinot Noir. Machine learning exhibits slightly greater explanatory power, suggests adding additional variables, and allows for a more detailed interpretation of results. Gault&Millau points are shown to have a significant positive impact on German wine prices. The log linear approach suggests a huge effect of different quality categories on the wine prices for Riesling with the highest price premiums for Auslese and “Beerenauslese/Trockenbeerenauslese/Eiswein (Batbaice),” while the machine learning model shows, that additionally the alcohol level has a positive effect on wines in the quality categories “QbA,” “Kabinett,” and “Spätlese,” and a mostly negative one in the categories “Auslese” and “Batbaice.” Weather variables exert different affects per grape variety, but all grape varieties have problems coping with rising maximum temperatures in the winter and with rising minimum and maximum temperatures in the harvest season. (JEL Classifications: C45, L11, Q11)

Estimating price gradient in Bratislava with different distance measurements

Purpose This paper aims to analyse the price gradient of apartments in the city of Bratislava with different measurements of travel time and distance to the city centre. Design/methodology/approach The price gradient is analysed by means of a hedonic price model. To overcome the problem with spatial autocorrelation in the data, the authors apply a spatial error model. Findings The paper provides empirical insights into the size of the price gradient in the city of Bratislava. In addition, it suggests that even in the case of a city with complicated urban structure, Euclidean distance is the best proxy for distance to the city centre and it is not necessary to use a more demanding distance calculation in hedonic price models. Originality/value Price gradients are usually analysed in western European or American cities whose urban structure differ from the cities in central and eastern Europe. This paper is the first in which the price gradient is estimated with different measurements of time and distance to the city centre using a spatial econometric model.

Brownfield Areas and Housing Value: Evidence from Milan

Using a transaction price database, in this paper we evaluate the economic effect of abandoned and derelict real estate areas on housing prices in Milan Italy from 1993 to 2016. We find that brownfields are widespread throughout Milan, with larger abandoned and derelict areas prevalent in the suburbs. Standard hedonic price models show that nearby brownfield areas lower housing prices, with stronger effects for larger derelict and abandoned areas. Economic losses are more relevant to houses in the historical city center and are affected by real estate market trends.