Urban Studies

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bramley, G.
Right arrow Articles by Leishman, C.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Urban Studies, Vol. 42, No. 12, 2213-2244 (2005)
DOI: 10.1080/00420980500331934
© 2005 Urban Studies Journal Limited

Planning and Housing Supply in Two-speed Britain: Modelling Local Market Outcomes

Glen Bramley

School of the Built Environment, Heriot Watt University, William Arrol Building, Riccarton, Edinburgh, EH14 4AS, UK, g.bramley@.sbe.hw.ac.uk

Chris Leishman

School of the Built Environment, Heriot Watt University, William Arrol Building, Riccarton, Edinburgh, EH14 4AS, UK, c.m.leishman{at}sbe.hw.ac.uk.

Economic research on UK housing markets has only recently got to grips with measuring and modelling the impact of planning and other public interventions, although their importance has long been recognised in theory. The interurban panel dataset utilised in this study does represent a step forward, by permitting more robust econometric estimation and by incorporating a wider, more balanced range of determinant factors. A coherent set of relationships governing the key market outcomes-house prices, new building, migration and vacancies-can be established. The modelling framework is used to explore differences in behavioural responses between markets in 'high' and 'low' demand states. Simulations are used to track the impact on market outcomes of different policy strategies applied in different types of locality. Supply measures needed to achieve national targets for house price growth reduction are assessed. Measures acting on both demand-side and supply-side variables in areas of high and low demand are compared. These suggest that output is more sensitive than price to policies and that quite strong, concerted policies would be needed to impact significantly on the major market imbalances currently seen.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?