The housing and mortgage market in Christchurch experienced significant changes since the 2011 earthquake, especially after the reconstruction of the city. The increasing speed of Christchurch average house price exceed the average house price of the whole country, as well as the number of new dwellings. By this regard, this study surveyed the households in Christchurch to analyze the effect of the earthquake on housing and mortgage market. This includes factors such as housing price, interest rate, government policy and socioeconomic factors in terms of age, gender, educational attainment, income, marital status and family life cycle.
Logistic regression model is used to analyze the data. The study provides an overview of the housing market and mortgage market in Christchurch. The logistic regression, results show changes on sensitivity between the socio-economic factors and house purchase, as well as mortgage borrowing pre- and post-earthquake. The result indicates that the earthquake in Christchurch has affected households’ decision on house purchase and mortgage borrowing.
A review of the week's news including... New questions are raised by leaked video footage showing a robot and two workers inside the Pike River mine just months after the 2010 disaster, fresh happy faces in the newly announced Labour list line up, the country's two biggest media companies have been given a strong message from the regions after their proposed merger is knocked back, a full biosecurity operation launched in Kerikeri, Wellington house prices soar, a helicopter pilot describes his crash north of Wellington as 'frightening', women in the Mongrel Mob say there is now less violence towards women, a review of the Kaikoura earthquake reveals it generated a tsunami of nearly 7 metres, the most annoying driving habits on Christchurch roads and one half of a champion rowing crew is surprised by the other half's retirement announcement.
A review of the week's news including... a major health alert in Pukekohe after two and a half thousand children were exposed to contaminated water, the Prime Minister kicks off election year with a pledge to spend more than half a billion dollar on crime-fighting, is New Zealand citizenship for sale? several former employees of the Canterbury Earthquake Recovery Authority are being investigated, international Indian students to be deported, more alleged mistreatment of animals revealed at another New Zealand rodeo event, a women's sexual abuse group says the judge got it wrong when he ruled in favour of a man who posted photos of his half naked wife on Facebook, people increasingly find ways to get around petrol prices that they think are too high, should an unofficial white chair memorial to the victims of the 2011 Christchurch quake be moved? the scientific test results which reveal exactly how Havelock North's drinking water supply was contaminated, the Maori Party backs calls from a group of local councils campaigning to keep their regions free from genetic modification, a film producer is caught out by a recent law change banning anyone travelling from America from entering New Zealand with medicinal cannabis and an update on a seriously unwell albatross chick.
In September 2010 and February 2011, the Canterbury region experienced devastating earthquakes with an estimated economic cost of over NZ$40 billion (Parker and Steenkamp, 2012; Timar et al., 2014; Potter et al., 2015). The insurance market played an important role in rebuilding the Canterbury region after the earthquakes. Homeowners, insurance and reinsurance markets and New Zealand government agencies faced a difficult task to manage the rebuild process. From an empirical and theoretic research viewpoint, the Christchurch disaster calls for an assessment of how the insurance market deals with such disasters in the future. Previous studies have investigated market responses to losses in global catastrophes by focusing on the insurance supply-side. This study investigates both demand-side and supply-side insurance market responses to the Christchurch earthquakes. Despite the fact that New Zealand is prone to seismic activities, there are scant previous studies in the area of earthquake insurance. This study does offer a unique opportunity to examine and document the New Zealand insurance market response to catastrophe risk, providing results critical for understanding market responses after major loss events in general. A review of previous studies shows higher premiums suppress demand, but how higher premiums and a higher probability of risk affect demand is still largely unknown. According to previous studies, the supply of disaster coverage is curtailed unless the market is subsidised, however, there is still unsettled discussion on why demand decreases with time from the previous disaster even when the supply of coverage is subsidised by the government. Natural disaster risks pose a set of challenges for insurance market players because of substantial ambiguity associated with the probability of such events occurring and high spatial correlation of catastrophe losses. Private insurance market inefficiencies due to high premiums and spatially concentrated risks calls for government intervention in the provision of natural disaster insurance to avert situations of noninsurance and underinsurance. Political economy considerations make it more likely for government support to be called for if many people are uninsured than if few people are uninsured. However, emergency assistance for property owners after catastrophe events can encourage most property owners to not buy insurance against natural disaster and develop adverse selection behaviour, generating larger future risks for homeowners and governments. On the demand-side, this study has developed an intertemporal model to examine how demand for insurance changes post-catastrophe, and how to model it theoretically. In this intertemporal model, insurance can be sought in two sequential periods of time, and at the second period, it is known whether or not a loss event happened in period one. The results show that period one demand for insurance increases relative to the standard single period model when the second period is taken into consideration, period two insurance demand is higher post-loss, higher than both the period one demand and the period two demand without a period one loss. To investigate policyholders experience from the demand-side perspective, a total of 1600 survey questionnaires were administered, and responses from 254 participants received representing a 16 percent response rate. Survey data was gathered from four institutions in Canterbury and is probably not representative of the entire population. The results of the survey show that the change from full replacement value policy to nominated replacement value policy is a key determinant of the direction of change in the level of insurance coverage after the earthquakes. The earthquakes also highlighted the plight of those who were underinsured, prompting policyholders to update their insurance coverage to reflect the estimated cost of re-building their property. The survey has added further evidence to the existing literature, such as those who have had a recent experience with disaster loss report increased risk perception if a similar event happens in future with females reporting a higher risk perception than males. Of the demographic variables, only gender has a relationship with changes in household cover. On the supply-side, this study has built a risk-based pricing model suitable to generate a competitive premium rate for natural disaster insurance cover. Using illustrative data from the Christchurch Red-zone suburbs, the model generates competitive premium rates for catastrophe risk. When the proposed model incorporates the new RMS high-definition New Zealand Earthquake Model, for example, insurers can find the model useful to identify losses at a granular level so as to calculate the competitive premium. This study observes that the key to the success of the New Zealand dual insurance system despite the high prevalence of catastrophe losses are; firstly the EQC’s flat-rate pricing structure keeps private insurance premiums affordable and very high nationwide homeowner take-up rates of natural disaster insurance. Secondly, private insurers and the EQC have an elaborate reinsurance arrangement in place. By efficiently transferring risk to the reinsurer, the cost of writing primary insurance is considerably reduced ultimately expanding primary insurance capacity and supply of insurance coverage.
