scholarly journals The Impacts of Housing Affordability on Social and Economic Sustainability in Beijing

2013 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Zhimin Wang ◽  
Jung Hoon ◽  
Benson Lim
Keyword(s):  
Housing Market ◽  
Economic Performance ◽  
Census Data ◽  
Housing Price ◽  
Housing Affordability ◽  
Economic Sustainability ◽  
National Bureau ◽  
Demographic Trends ◽  
Sustainable Housing ◽  
Price Growth

China has undergone significant housing price growth since its 1998’s policy reformation – triggering housing affordability issues in large cities such as Beijing and Shanghai. Although studies have been done to investigate Chinese cities’ housing market policies, it appears that hitherto little is known about the effect of housing affordability on the cities’ social and economic sustainability. The aim of this paper is to investigate the relationships among housing affordability, macro-economic performance and socio-demographic trends in Beijing. Under this aim, the specific objectives are to: examine Beijing’s housing market performance, housing affordability, economic development and socio-demographic trends; and model the relationships among housing affordability, economic performance and socio-demographic trends in Beijing. Twelve years of retrospective census data from National Bureau of Statistics of China were collated and analysed. The results show that economic growth is positively influenced by housing affordability. However, it is shown that low level of housing affordability could lead to economic and social un-sustainability. This research informs urban planners and researchers about the effect of housing affordability on a nation’s urban economic and social development, offering a new plausible insight towards developing a sustainable housing market.

scholarly journals Housing Prices in Unregulated Markets: Study on Verticalised Dwellings in Santiago de Chile

Buildings ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 6 ◽  
Author(s):  
José Francisco Vergara-Perucich ◽  
Carlos Aguirre-Nuñez
Keyword(s):  
Housing Market ◽  
Affordable Housing ◽  
Housing Prices ◽  
House Price ◽  
Housing Price ◽  
Housing Affordability ◽  
Price Formation ◽  
Land Values ◽  
Santiago De Chile ◽  
Data Transparency

Chile faces a housing affordability crisis, given that most of the population is unable to secure a house. While housing prices between 2008 and 2019 increased by 63.96%, wages only increased by 21.85%. This article presented an analysis of the housing price configuration for the main borough in the country—Santiago. The assessment focused on verticalised housing constructed between 2015 and 2019. The article developed an exploratory study on the price of housing in Santiago to generate a diagnosis to identify the role played by expectations of profitability when configuring price. Based on the information generated, we sought to contribute to the discussion on public policies that advance the development of affordable housing in central boroughs with high urban value, as is the case for Santiago’s borough of Greater Santiago. We hypothesised that profit expectation of real estate developers plays a key role in the housing prices, and an adjustment in the profit ratios might increase the affordability while keeping the housing market above profitable rates. This research addressed the lack of data transparency in the Chilean housing market with archival research, reconstructing costs and earnings from projects based on official registrations of transactions at the borough level. In Chile, the access to investment costs, land values, yields, and house price formation are not publicly available, even though these factors imply that many households are facing severe difficulties in paying for and accessing decent housing.

Mitigating housing glut: an application to the Malaysian housing market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chee Yin Yip ◽  
Abdelhak Senadjki ◽  
Hui Nee Au Yong ◽  
Azira Abdul Adzis
Keyword(s):  
Economic Growth ◽  
Housing Market ◽  
Affordable Housing ◽  
Positive Impact ◽  
Housing Prices ◽  
Housing Price ◽  
Relative Effect ◽  
Housing Affordability ◽  
Third Party ◽  
Content Type

Purpose This paper aims to construct a model procedure to mitigate housing glut by using both qualitative and quantitative approach. The model applied in the Malaysian context analyzes the following: information contained in media articles and reports issued by Bank Negara Malaysia (BNM) on the housing market to extract the true picture of the housing glut issue; the relative impact (effectiveness) of housing affordability, housing prices and economic growth in influencing housing glut, and how it can be overcome so that appropriate preferential policies can be taken to mitigate the problem. Design/methodology/approach This study uses quarterly data from 2000 to 2017 to conduct economic analysis, economic theory analysis and cointegrating regression, whereas information from media-published housing articles and reports issued by BNM are examined and interpreted to draw the true picture of housing glut. Findings The results obtained from quantitative analysis show that housing affordability exerts very mild relative effect (0.0097) negatively on housing glut, whereas economic growth and housing price produce a relatively mild positive impact of (0.020) and (0.022), respectively, conflicting to the common consensus that the two factors have a significant effect on housing glut. Qualitatively, the results of this study show that housing glut seems to be relatively larger for affordable housing, which is contrary to the quantitative results, pointing to the existence of other influencing factors. Research limitations/implications There is an imperative need for a third-party survey to gain a comprehensive understanding of the market conditions and buyers’ sentiment and preference. Originality/value This study compares both quantitative and qualitative results with expected housing market movements and responses based on conventional wisdom.

scholarly journals SUSTAINABLE HOUSING AFFORDABILITY IN SABAH

2016 ◽  
Author(s):  
Rosli Said ◽  
Rohayu Ab. Majid ◽  
Anuar Alias ◽  
Yasmin Mohd Adnan ◽  
Muhammad Najib Razali
Keyword(s):  
Affordable Housing ◽  
Supply And Demand ◽  
Housing Price ◽  
Housing Affordability ◽  
The State ◽  
Housing Sector ◽  
Sustainable Housing ◽  
Lower Ranking ◽  
High Utility ◽  
Real Picture

Sabah is one of the states in Malaysia has shown remarkable growth in housing industry where its housing sector has thrived owing to growing market and active supply and demand dynamics. However, the rapid increase in housing price has created greater concern among the researchers about the sustainability of the housing sector in this country. The aspect of sustainability has seem been neglected by the industry players. Consequently, it will give impact to the environment which contrasts with the aim of the built environment to create sustainable development. This is because affordable housing is always being associated with cheap and low-quality houses. This research is aim to assess the best area in the state of Sabah to build sustainable affordable housing scheme. The results indicate that area with high utility degree is the best area that conforms to the sustainable housing affordability factors. Likewise, an area with a lower ranking in utility degree can be described as a worst-performing area. The originality of this research has contributed to a real picture of sustainable housing affordability in Malaysia, particularly the state of Sabah.

scholarly journals SUSTAINABLE HOUSING AFFORDABILITY IN SABAH

2016 ◽  
Vol 14 (5) ◽  
Author(s):  
Rosli Said ◽  
Rohayu Ab. Majid ◽  
Anuar Alias ◽  
Yasmin Mohd Adnan ◽  
Muhammad Najib Razali
Keyword(s):  
Affordable Housing ◽  
Supply And Demand ◽  
Housing Price ◽  
Housing Affordability ◽  
The State ◽  
Housing Sector ◽  
Sustainable Housing ◽  
Lower Ranking ◽  
High Utility ◽  
Real Picture

Sabah is one of the states in Malaysia has shown remarkable growth in housing industry where its housing sector has thrived owing to growing market and active supply and demand dynamics. However, the rapid increase in housing price has created greater concern among the researchers about the sustainability of the housing sector in this country. The aspect of sustainability has seem been neglected by the industry players. Consequently, it will give impact to the environment which contrasts with the aim of the built environment to create sustainable development. This is because affordable housing is always being associated with cheap and low-quality houses. This research is aim to assess the best area in the state of Sabah to build sustainable affordable housing scheme. The results indicate that area with high utility degree is the best area that conforms to the sustainable housing affordability factors. Likewise, an area with a lower ranking in utility degree can be described as a worst-performing area. The originality of this research has contributed to a real picture of sustainable housing affordability in Malaysia, particularly the state of Sabah.

scholarly journals Monitoring streets through tweets: Using user-generated geographic information to predict gentrification and displacement

2021 ◽  
pp. 239980832110253
Author(s):  
Karen Chapple ◽  
Ate Poorthuis ◽  
Matthew Zook ◽  
Eva Phillips
Keyword(s):  
Big Data ◽  
San Francisco ◽  
Census Data ◽  
San Francisco Bay Area ◽  
Demographic Data ◽  
Activity Patterns ◽  
Neighborhood Change ◽  
Housing Affordability ◽  
Bay Area ◽  
Media Data

The new availability of big data sources provides an opportunity to revisit our ability to predict neighborhood change. This article explores how data on urban activity patterns, specifically, geotagged tweets, improve the understanding of one type of neighborhood change—gentrification—by identifying dynamic connections between neighborhoods and across scales. We first develop a typology of neighborhood change and risk of gentrification from 1990 to 2015 for the San Francisco Bay Area based on conventional demographic data from the Census. Then, we use multivariate regression to analyze geotagged tweets from 2012 to 2015, finding that outsiders are significantly more likely to visit neighborhoods currently undergoing gentrification. Using the factors that best predict gentrification, we identify a subset of neighborhoods that Twitter-based activity suggests are at risk for gentrification over the short term—but are not identified by analysis with traditional census data. The findings suggest that combining Census and social media data can provide new insights on gentrification such as augmenting our ability to identify that processes of change are underway. This blended approach, using Census and big data, can help policymakers implement and target policies that preserve housing affordability and protext tenants more effectively.

scholarly journals Are There Any Housing Bubbles in Turkey?

2021 ◽  
Author(s):  
Özge Korkmaz ◽  
Ebru Çağlayan Akay ◽  
Hoşeng Bülbül
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Housing Prices ◽  
Housing Price ◽  
Economic Fundamentals ◽  
The Past ◽  
Price Increases ◽  
Long Time ◽  
Housing Bubbles ◽  
Turkish Lira

It is very important that the housing market, which meets the most basic need of people is needed for shelter from the past to the present, has a stable structure. The instability structure of the housing market is generally associated with the presence of housing bubbles. The deviation of housing prices from their basic value and not being able to be explained by economic fundamentals leads to the formation of housing bubbles. Housing bubbles can lead to permanent losses, as it may take a long time to return to normal prices. For Turkey as a developing country, it is important to identify an unstable structure in house prices discuss the basic economic factors related to this. After the global increases in housing prices, inflation, and depreciation in the Turkish lira, Turkey has become the country with the highest housing price increases globally in 2020. In the study, the presence of bubbles in the housing market for Ankara, Izmir, Istanbul, and Turkey in general, was investigated by SADF and GSADF unit root tests for the period 2010:01-2021:02. In this context, the study examines the presence of bubbles in housing prices for Ankara, Izmir, Istanbul, and Turkey in general, which are the three cities with the highest price increases. As a result of the study, the presence of bubbles in the housing market has been determined for Ankara, Istanbul, Izmir, and Turkey in general.

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