Systematic analysis of affordable housing development and pricing structure in Shenzhen, China

Clicks: 463
ID: 53184
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #1 of 34 articles by views in international journal of strategic property management

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
As a result of urban housing reform in China, it has become increasingly difficult for low and middle income families to purchase a house. In response to the growing demand for affordable housing, the Chinese Government has developed a specific housing policy to enable families to purchase properties from the private sector. The pricing mechanism of such housing is completely based on the family affordability and the profit margin of developers. To ensure the provision of housing for low and middle-income families, the future trend of affordable housing prices has become a concern for developers, consumers and may adversely influence the implementation of the current national housing policy. In this paper a systematic analysis of affordable housing development and its pricing structure is undertaken for the city of Shenzhen. As information pertaining to the factors influencing house prices is imperfect, a Grey model, which requires a limited amount of data to reflect unknown behavior, is constructed to provide a forecast for affordable house pricing. The analysis indicates that the government should adjust their current affordable housing policy to accommodate the forecasted upward trend in house prices.
Reference Key
sing2015systematicinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sing, Chun Pong;Love, Peter E. D.;Fung, Wing Hong;He, Yun Zi;
Journal international journal of strategic property management
Year 2015
DOI
DOI not found
URL
https://journals.vgtu.lt/index.php/IJSPM/article/view/2109
Keywords
Engineering (General). Civil engineering (General) Technology geography (general) economics as a science finance social sciences building construction management. industrial management applied optics. photonics transportation engineering urbanization. city and country

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.