Housing prices and policy dilemmas: a peculiarly Australian problem?

Berry, Mike; Dalton, Tony

doi:10.1080/0811114042000185509

Cited by 71 publications

(52 citation statements)

References 8 publications

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“…The resulting national shortage of low income rental housing now estimated to be at least 50,000 rental units. Further, current patterns of investment in the sector hold no prospect of sustained investment in private rental housing that will result in increased supply (Berry, 1998).…”

Section: Housing Provision In Australia and Canadamentioning

confidence: 99%

“…Both of these labour market outcomes are reshaping the traditional renting to owner housing career. Third, there has been very substantial medium term increases in house prices in both countries particularly in the large metropolitan cities where the majority of the populations of both countries live (Carter, 2004) (Berry and Dalton, 2004).…”

Section: Housing Provision In Australia and Canadamentioning

confidence: 99%

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Housing Policy Retrenchment: Australia and Canada Compared

Dalton

2009

Urban Studies

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Housing policy has declined in importance relative to other areas of state policy-making in many Western countries. This paper seeks to understand why this has happened at a time when there has been a decline in the level of housing affordability and supply of affordable rental housing. It presents an argument that a way of understanding this policy retrenchment, through a comparative analysis of Australian and Canadian housing systems, is to consider the way in which housing policy problems are defined, how policy-making capacity is institutionalised in state agencies and the form and extent of civil society mobilisation on housing issues. It is not sufficient to ascribe the declining salience of housing policy to the ascendancy of neo-liberal ideas in policy-making.

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Section: Housing Provision In Australia and Canadamentioning

confidence: 99%

Section: Housing Provision In Australia and Canadamentioning

confidence: 99%

Housing Policy Retrenchment: Australia and Canada Compared

Dalton

2009

Urban Studies

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“…The results showed the ripple effect hypothesis that changed in house prices occurred earlier and more extensively in the South East of England than in other regions of the UK. Berry and Dalton (2004) argued that population density, immigration speed, and geographic location were the main factors leading to house price fluctuations in the view of area coverage. Cook (2005) discovered that the notion of a ripple effect in the UK housing market implied stationarity in regional: national house price ratios.…”

Section: Introductionmentioning

confidence: 99%

Ripple Effect of Housing Prices among Chinese Deputy Provincial Cities Based on an Alternative Approach

Huang

2010

IJBA

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This paper applies a two-stage procedure of non-parametric testing and business cycle dating techniques to examine the ripple effect of housing prices among Chinese cities since 2006. Empirical analysis indicates that housing prices fluctuations among nineteen Chinese cities do have ripple effect. We divide the cities into three layers: Shenzhen and Guangzhou are in the first layer; Beijing, Shanghai, Hangzhou, Nanjing, Xiamen are in the second; and other cities are in the third one. The direction is from the first layer to the third layer and the effect gets weaker and weaker. Empirical results show that: (1) Shenzhen and Guangzhou are the main regulatory targets; (2) Cities in the second layer should be paid attention to, especially unexpected fluctuations of housing prices of cities in the third layer ought to be avoided.

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“…Sirmans et al (2005) organised these characteristics into eight categories: construction and structure variables, internal house features, external house features, natural and environmental characteristics, environmental neighbourhood and location factors, public service amenities, marketing, occupancy and selling factors and financing issues. Berry and Dalton (2004) classified house prices into different categories, including short term factors (e.g. interest rate, investment demand and current economic climate); institutional factors (e.g.…”

Section: Introductionmentioning

confidence: 99%