scholarly journals THE EFFECTS OF A SHOPPING MALL ON HOUSING PRICES: A CASE STUDY IN HANGZHOU

2018 ◽  
Vol 23 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Ling Zhang ◽  
Jiantao Zhou ◽  
Eddie C. M. Hui ◽  
Haizhen Wen
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Shopping Mall ◽  
Hedonic Price ◽  
Shopping Malls ◽  
Time Dimension ◽  
Positive Effects ◽  
The Impact ◽  
Positive Effect

There are few studies on the externalities of shopping malls affecting the housing market. This study aims to discuss two issues: (1) What is the intensity of the impact of a shopping mall? (2) When does the external influence of a shopping mall begin to reveal itself? The West Intime Shopping Mall in Hangzhou offers a unique situation to research the questions. By dividing the study area into nine blocks, using hedonic price theory, and the price gradient approach with housing price data from 2011 to 2015, we found that in the space dimension, the mall exerted a significantly positive effect on the housing prices of nearby blocks. With the increase in distance from the mall, the positive effect decreased. There were more significantly positive effects in blocks far away from the city center. In the time dimension, the effects of West Intime did not reveal themselves until the mall had started to operate and gradually matured over time, implying that the mall did not have the obvious expected impact on housing prices before the mall had begun operating.

scholarly journals Precarious Suicide Behavior According to Housing Price Gap: A Case Study on South Korea

2021 ◽  
Vol 18 (18) ◽  
pp. 9877
Author(s):  
Sungik Kang ◽  
Hosung Woo ◽  
Ja-Hoon Koo
Keyword(s):  
South Korea ◽  
Urban Areas ◽  
Statistical Significance ◽  
Economic Inequality ◽  
Housing Prices ◽  
Housing Price ◽  
National Health Survey ◽  
Primary Analysis ◽  
The Impact

In 2018, the suicide rate in South Korea was the highest among the Organisation for Economic Co-operation and Development countries, and socioeconomic inequality has intensified. This study analyzes the impact relationship between suicidal impulses and economic inequality in South Korea. This study measures suicidal impulses thoughts National Health Survey Data and economic inequality based on the housing prices gap in the country. The primary analysis results were as follows: First, suicidal impulses were positively associated with the high index of housing price inequality; this correlation has become tight in recent years. Second, it was confirmed that the higher the income level, the higher the correlation between suicidal impulses with the index of housing price inequality. Third, the correlation between housing price inequality with suicidal impulse increased consistently in highly urbanized areas, but the statistical significance was low in non-urban areas.

scholarly journals Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1330
Author(s):  
Pengyu Ren ◽  
Zhaoji Li ◽  
Weiguang Cai ◽  
Lina Ran ◽  
Lei Gan
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Ordinary Least Squares ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Hedonic Price ◽  
Least Squares Regression ◽  
Price Levels ◽  
Urban Rail ◽  
The Impact

The impact of urban rail transit on housing prices has attracted the extensive attention of scholars, but few studies have explored the heterogeneous impact of rail transit on housing prices with different price levels. To solve this problem, we adopted the hedonic price model based on ordinary least squares regression as a supplementary method of quantile regression to study the heterogeneous impact of the Chengdu Metro system on low-, middle-, and high-priced housing. The result shows that the housing price rises first, then falls with the distance from the housing to the nearest subway station. Besides, the influence of transportation accessibility on low-, middle-, and high-priced housing decreases progressively. This research can provide a reference for the government’s transportation planning and decision-making.

scholarly journals Impacts of shopping malls on apartment prices: the case of Stockholm

2020 ◽  
Vol 5 ◽  
pp. 29-48
Author(s):  
Mats Wilhelmsson ◽  
Runfeng Long
Keyword(s):  
Empirical Study ◽  
Inverse Relationship ◽  
Housing Prices ◽  
Shopping Mall ◽  
Hedonic Model ◽  
Price Premium ◽  
Shopping Malls ◽  
The Impact ◽  
The Relationship ◽  
Over Time

Shopping malls, as an important type of commercial facilities, are growing dramatically. They have gradually become one of the most dominant factors that can influence people's daily life as well as a city's economic development. People's willingness to pay for dwellings is also primarily associated with the surrounding commercial layout. Hence, it is of interest to find out more from a quantitative perspective on the relationship between shopping malls and housing prices. This study aims to analyze how the prices of condominiums will be affected by the proximity of shopping malls. Two aspects are considered and examined in the empirical study, namely a proximity to the shopping mall, and the number of shopping malls within 3 kilometers radius. We try to examine if there is any price premium for those apartments near the shopping mall or with more shopping malls in the neighborhood. In this empirical study, 36 shopping malls in different locations in the county of Stockholm, Sweden, is utilized. The sample of transactions consists of 336,914 apartments. By using regression analysis, based on the traditional hedonic model, the results show that there is an inverse relationship between the apartment prices and its distance from the shopping mall while the number of shopping malls is positively correlated with apartment prices. However, the impact has declined over time.

scholarly journals Temporal and Spatial Effects of Urban Center on Housing Price — A Case Study on Hangzhou, China

2018 ◽  
Vol 5 (1) ◽  
pp. 89 ◽  
Author(s):  
Luhong Chu ◽  
Haizhen Wen
Keyword(s):  
Rapid Development ◽  
Housing Prices ◽  
Housing Price ◽  
Urban Land ◽  
Urban Housing ◽  
Spatial Effects ◽  
Hedonic Price ◽  
Urban Center ◽  
Center City ◽  
The Impact

<em>With the acceleration of urbanization and the rapid development of real estate, people pay more and more attention to the change of urban housing prices. Over time, the change of city center will inevitably affect the urban land or housing prices, which is reflected in the spatial distribution of urban land or housing prices. Therefore, this article attempts to explore the impact of urban center on housing prices from the perspective of multi-center city and study separately from two aspects of time and space. This paper takes the six main urban districts of Hangzhou as the research scope. At the time level, we select the residential data from 2007 to 2015 to construct models respectively based on the hedonic price theory and find that the influence of different urban center on housing price shows a certain change with time. On the spatial level, this paper choses the residential data in 2012 to construct geographic weighted regression model and the result shows that the impact of three centers on housing prices shows a certain degree of spatial heterogeneity.</em>

scholarly journals The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison

2018 ◽  
Vol 10 (12) ◽  
pp. 4343 ◽  
Author(s):  
Nana Cui ◽  
Hengyu Gu ◽  
Tiyan Shen ◽  
Changchun Feng
Keyword(s):  
Influencing Factors ◽  
School Quality ◽  
School Attendance ◽  
Housing Prices ◽  
Housing Price ◽  
Living Environment ◽  
Hedonic Price ◽  
Micro Level ◽  
Employment Center ◽  
The Impact

The housing sales market in China has flourished and gained considerable interest, while the housing rental market has lagged behind and been ignored over the past two decades. With the acceleration of urbanization, the housing rental demand is rising rapidly. Exploring and comparing the influencing factors on housing sale prices and rental prices has significance for sustainable urban planning and management. Using house purchase transaction and rent transaction data in 2017, as well as the average housing price and rent data in 2016 in Beijing, China, this paper compares the spatial distribution and it employs the hedonic price model and quantile regression model to quantify the average and distributional effects of micro-level influencing factors on housing prices and housing rents. Results show that housing prices and housing rents both have a decentralized distribution with multiple centers, but rents of residential communities with high housing prices may not necessarily be high. Both homeowners and renters prefer properties with good structural, locational, and neighborhood characteristics, as well as a good school attendance zone, whereas they still differ in terms of preferences. Homeowners prefer a higher-quality living environment. Renters are more concerned with proximity to an employment center and public transit convenience. Moreover, the price premium of school quality for homeowners exceeds the premium for renters. Higher-priced homeowners or renters differ in the preferences from lower-priced homeowners or renters. Higher-priced homeowners and higher-priced renters are more willing to live in property with a larger number of bedrooms, proximity to a major employment center, park, or school, as well as a location in a school attendance zone with higher school quality.

The critical factors of shopping malls in urban complexes in China

Facilities ◽  
2016 ◽  
Vol 34 (11/12) ◽  
pp. 662-681 ◽  
Author(s):  
Eddie C.M. Hui ◽  
Ning Ning ◽  
Ka Kwan Kevin Chan
Keyword(s):  
Shopping Mall ◽  
Chinese Government ◽  
Shopping Malls ◽  
Critical Factors ◽  
Chinese Consumers ◽  
Content Type ◽  
Urban Complex ◽  
The Impact ◽  
The Relationship

Purpose As the Chinese Government is planning to transform the economy from an export-oriented economy into a consumption-oriented economy, the impact of Chinese consumers to the economy will become more and more important. However, there is a lack of literature on Chinese consumers’ behavior and the critical factors of shopping malls in China. Hence, this study aims to determine the critical factors of a shopping mall in an urban complex in China from customers’ perspective, using Nanjing Wanda Plaza as an example for our case study. Design/methodology/approach This study carries out ranking analysis and factor analysis to determine the critical factors of the shopping mall. Then cluster analysis is applied to divide the customers into three segments, showing the importance of each factor to different customer segments. Furthermore, correspondence analysis is conducted to investigate the relationship between customer segments and customer characteristics (gender, occupation, age and income). This method can show how customer characteristics affect the critical factors of the shopping mall. Findings Sensual enjoyable shoppers consider the “soft factors” to be superior to the “hard factors”, whereas the pragmatic shoppers are just the opposite. Originality/value This study can serve as a useful reference for developers in designing shopping malls in urban complexes to attract more customers.

scholarly journals A Study on the Impact of Unconventional (and Conventional) Drilling on Housing Prices in Central Oklahoma

2021 ◽  
Vol 13 (24) ◽  
pp. 13880
Author(s):  
Kangil Lee ◽  
Brian Whitacre
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Local Environment ◽  
Underground Water ◽  
Environmental Pollutant ◽  
Hedonic Price ◽  
Development Activity ◽  
Home Buyer ◽  
The Impact ◽  
Unconventional Drilling

Shale energy development activity may benefit some aspects of a regional economy (such as increased jobs or tax revenue); however, there may also be negative impacts to the local environment, such as noise and underground water contamination. We study the impact of unconventional drilling activity on housing price in an area of the country with a long history of crude oil production. A prospective home buyer may want to avoid a place near sites that have been drilled using unconventional drill technologies such as horizontal fracturing. Adopting a hedonic price model, we estimate the impact of distance to and density of unconventional drilling on housing prices in two central counties in Oklahoma during the period 2001–2016. We also apply a semiparametric approach to deal with the possibility that the relationship between an environmental pollutant source and housing price is nonlinear. The empirical results are consistent in terms of physical housing characteristics and locational aspects in all cases, with drilling activity having only a minimal effect in benchmark models. Further, the semiparametric estimation results support the findings that drilling activity has only limited impacts on local housing prices.

Impact of Digitalization on Service Work in Knowledge-Intensive Business Services: An Empirical Study in Tax Consultancies

2019 ◽  
Vol 3 (4) ◽  
pp. 209-222
Author(s):  
Philipp K. Görs ◽  
Henning Hummert ◽  
Anne Traum ◽  
Friedemann W. Nerdinger
Keyword(s):  
Work Engagement ◽  
Service Work ◽  
Psychological Consequences ◽  
Business Services ◽  
Knowledge Intensive Business Services ◽  
Positive Effects ◽  
Knowledge Intensive ◽  
The Impact ◽  
Positive Effect ◽  
Special Case

Digitalization is a megatrend, but there is relatively little knowledge about its consequences for service work in general and specifically in knowledge-intensive business services (KIBS). We studied the impact of digitalization on psychological consequences for employees in tax consultancies as a special case of KIBS. We compare two tax consulting jobs with very different job demands, those of tax consultants (TCs) and assistant tax consultants (ATCs). The results show that the extent of digitalization at the workplace level for ATCs correlates significantly positively with their job satisfaction. For TCs, the same variable correlates positively with their work engagement. These positive effects of digitalization are mediated in the case of ATCs by the impact on important job characteristics. In the case of TCs, which already have very good working conditions, the impact is mediated by the positive effect on self-efficacy. Theoretical and practical consequences of these results are discussed.

scholarly journals The Neighborhood Effects of a Place-Based Policy—Causal Evidence from Atlanta’s Economic Development Priority Areas

2021 ◽  
Vol 13 (12) ◽  
pp. 6808
Author(s):  
Yuxi Luo ◽  
Zhaohua Zhang ◽  
Jun Zheng ◽  
Diane Hite
Keyword(s):  
Economic Development ◽  
Low Income ◽  
Neighborhood Effects ◽  
Economic Status ◽  
Housing Prices ◽  
Labor Demand ◽  
Housing Price ◽  
Poverty Rate ◽  
Priority Areas ◽  
Positive Effects

Place-based policies refer to government efforts to enhance the economic performance of an area within its jurisdiction. Applying various difference in differences strategies, this study evaluates the neighborhood effects of a place-based policy—the Economic Development Priority Areas (EDPA) of Atlanta, Georgia, USA. Since the census block groups are locally defined and the boundaries may change over time, we defined the neighborhoods by creating a set of 0.25-mile- diameter circles evenly distributed across Atlanta, and used the created buffers as the comparison unit. The empirical estimates showed that EDPA designation significantly reduced poverty rate and increased housing price of EDPA neighborhoods but had no beneficial effects on population size and employment rate. The heterogeneous analysis with respect to different initial economic status of the neighborhoods showed a relative larger and significant effect of EDPA designation on low-income neighborhoods. The increasing labor demand induced by EDPA designation in low-income neighborhoods attracted more population to migrate in and put upward pressure on housing prices. The estimation results are robust when replacing the 0.25-mile-diameter circle neighborhoods with 0.5-mile-diameter circle neighborhoods. Although we found some positive effects of the EDPA program in Atlanta, it would be misguided to assume similar effects occur in other areas implementing place-based policies.

scholarly journals An Input–Output Ex Ante Regional Model to Assess the Short-Term Net Effects of the 16 April 2016 Earthquake in Ecuador

2021 ◽  
Author(s):  
Jorge Salgado ◽  
José Ramírez-Álvarez ◽  
Diego Mancheno
Keyword(s):  
Natural Hazard ◽  
National Accounts ◽  
Input Output ◽  
Short Term ◽  
Ex Ante ◽  
The Impact ◽  
Consumption Demand ◽  
Two Sectors ◽  
Positive Effect

AbstractThe 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador. This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective, with the 16 April 2016 earthquake serving as a case study. In general, the specified and estimated model follows the approach of the extended Miyazawa model, which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers. Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated, which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method. The estimations provide evidence that the net short-term impact on the national accounts was not significant, and under some of the simulated scenarios, based on the official information with respect to earthquake management, the impact may even have had a positive effect on the growth of the national product during 2016.

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