Improvements in transport were commonly found to have a positive effect on the price of housing. As the construction of infrastructure often lasts for years, it is plausible to assume that investors will take expected improvements into consideration when pricing and trading neighbourhood properties. However, there have been few investigations of such effects. This paper is an empirical study of whether premiums were paid for the expected benefits offered by a new tunnel before its completion. The results showed that there were positive price expectation effects well before the completion of the tunnel. The expectation effects allow the government to finance infrastructure projects by selling land in the affected districts in advance.

While the outbreak of the COVID-19 disease has caused asset markets to experience an unprecedented spike of risk and uncertainty worldwide, the real estate market in many global cities appears to be immune to the adverse effects. How does COVID-19 affect urban housing markets? This study is a first attempt to identify the pandemic’s impact on house prices by applying a price gradient analysis to the COVID-19 epicentre in China. Considering microlevel housing transaction data in 62 areas from nine districts in Wuhan City from January 2019 to July 2020, the hedonic pricing and the price gradient models suggest that there was, respectively, a 4.8% and a 5.0–7.0% year-on-year fall in house prices immediately after the pandemic outbreak. Although house prices rebounded after the lockdown period, the gradient models show that the price gradients were flattened from the epicentre to the urban peripherals. The price premiums in high-density areas were also substantially discounted after the city’s lockdown. Our findings are robust to different model specifications. The implication is that the risk associated with the pandemic is localised and transitory in nature. People may be able to internalise the risk by residing in low-density residential areas.

There have been very few empirical studies investigating the value enhancement effects of refurbishment and most rely on cross‐sectional data, which cannot show the before and after effects conclusively because of the heterogeneous nature of the properties. The problem of refurbishment is more complicated in buildings or housing estates with multiple‐ownerships, since refurbishment is a collective decision, which can sometimes be difficult to achieve. Uses panel data in Hong Kong to estimate the impact of refurbishment on the market value of properties in a large housing estate. The results show that the refurbishment brought about approximately a 9 per cent increase in the market value of the properties, which far exceeds the cost of refurbishment. Suggests that property owners of a housing estate will benefit if they can reach a collective decision on renovation.