Song Shi

Dr. Song Shi

University of Technology Sydney, Sydney, New South Wales, Australia
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2014 in Journal of Banking & Finance
Verified
Journal Article
Closed access
Song ShiSong Shi
Song Shi
JJJyh-Bang Jou
Jyh-Bang Jou
DTDavid Tripe
David Tripe

1 March 2009 in Journal of Property Research
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Journal Article
Closed access
Song ShiSong Shi
Song Shi
MYMartin Young
Martin Young
BHBob Hargreaves
Bob Hargreaves
Utilising a selection of 10 urban area data sets in New Zealand for the period 1994–2004, we examine local house price co‐movements by using various house price indexing approaches, at a monthly level. Applying the Granger causality test based on a vector error correction model (VECM), where seasonality is considered by using seasonal dummy variables, we found in the long run that the ripple effect is most likely constrained within regions. There is little evidence to suggest that the ripple effect will spread nationally between main regional centres. The results support the theory that the ripple effect is likely to be caused by a region’s internal economic factors rather than migration and spatial arbitrage.

1 May 2019 in Transport Policy
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Journal Article
Closed access
KTKan Wai Hong Tsui
Kan Wai Hong Tsui
DTDavid Tan
David Tan
CCClement Kong Wing Chow
Clement Kong Wing Chow
Song ShiSong Shi
Song Shi

1 January 2010 in Journal of Real Estate Research
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Journal Article
Closed access
Song ShiSong Shi
Song Shi
MYMartin Young
Martin Young
BHBob Hargreaves
Bob Hargreaves
Using a selected New Zealand urban area data set for the period 1994–2004, we examine price and volume dynamics using various house price indexing approaches. Applying the Granger causality test based on a vector error correction model (VECM), where seasonality is considered in the model by using seasonal dummy variables, we find that sale price and trading volume are cointegrated. Causality is caused by a long-run relationship rather than short-run dynamics between price and volume. The direction of causality for large cities is from volume to price. The results support the theory of frictional search models for housing markets in general.

1 December 2009 in Journal of Housing Economics
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Journal Article
Closed access
Song ShiSong Shi
Song Shi
MYMartin Young
Martin Young
BHBob Hargreaves
Bob Hargreaves

26 July 2016 in Urban Studies
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Journal Article
Closed access
WTWai Hong Kan Tsui
Wai Hong Kan Tsui
DTDavid Tat Wei Tan
David Tat Wei Tan
Song ShiSong Shi
Song Shi
The direction and mechanisms of the relationship between airport traffic volumes and property prices are somewhat unclear in the literature. This study adds to that body of knowledge by empirically investigating the role of airports as an essential driver of economic activity by creating employment and facilitating air travel between destinations. The two-stage least-squares (2SLS) approach is employed to investigate the link between house prices and the airport traffic volumes of New Zealand’s three key regions and airports (Auckland, Canterbury/Christchurch and Wellington) from July 2004 to December 2014. The empirical findings of the study suggest that airport traffic volumes positively and significantly influence the urban house prices of New Zealand’s three major regions.