New Zealanders are paying too much for house and contents insurance, according to a new survey. Consumer NZ's price comparison survey shows climate and natural hazard risk is being factored in, and is more expensive than ever. Quotes for a large house differed by more than $3,000 across Auckland, Hamilton, Wellington, Christchurch, and Dunedin, and there's a more than $2,000 difference between the cheapest and most expensive policies on offer for a standard-sized house. If you live somewhere with a higher chance of earthquakes - such as Wellington or Christchurch - you'll be charged more for insurance. The cost of house and contents insurance has risen by 5.6% this year, over the past ten years it's gone up 150%. Kathryn is joined by Consumer NZ's Gemma Rasmussen and Katrina Shanks Chief Executive of Financial Advice New Zealand, which represents independent and professional financial advisors.
We aim to investigate the role of insurance in business recovery following the devastating Christchurch earthquake in February, 22nd, 2011. We analyze data from two business surveys conducted after the earthquake to examine how insurance affected business operation in the aftermath of the earthquake both in the short-term and longer-term. For the short-term analysis, we use a combination of propensity score matching (PSM) and linear probability model (LPM) to analyze the data. We first estimate the propensity scores for insurance take-up of each firm conditional on the firm’s individual characteristics. Stratification based on the estimated propensity scores is used to match the treated (insured) and the control (uninsured) firms. We then estimate the probability of firms’ continuing operations with a set of control variables to account for the level of damage and disruption caused by the quake in each stratum. We find little evidence of any beneficial effect of insurance coverage on business continuity in the short-run. For the longer-term analysis, we analyze the available survey data using logistic regression. The result suggests that business interruption insurance significantly promotes increased level of long-term productivity for surviving firms following the earthquake.
Museums around the world are often affected by major catastrophes, and yet planning for these disasters is an often neglected aspect of museum practice. New Zealand is not immune from these events, as can be seen in the recent series of serious earthquakes in Christchurch in 2010 and 2011. This dissertation considers how prepared the New Zealand museum sector is to handle unexpected events that negatively affect its buildings, staff, operations and treasured collections. The central research question was: What is the overall state of emergency planning in the New Zealand museum sector? There was a significant gap in the literature, especially in the local context, as there has been only one other comparable study conducted in Britain, and nothing locally. This dissertation makes a valuable contribution to the field of museum studies by drawing on theory from relevant areas such as crises management literature and by conducting original empirical research on a topic which has received little attention hitherto. The research employed a number of methods, including a review of background secondary sources, a survey and interviews. After contextualising the study with a number of local examples, Ian online survey was then developed an which enabled precise understanding of the nature of current museum practices and policies around emergency planning. Following this I conducted several interviews with museum professionals from a variety of institutional backgrounds which explored their thoughts and feelings behind the existing practices within the industry. The findings of the research were significant and somewhat alarming: almost 40% of the museum and galleries in New Zealand do not have any emergency plan at all, and only 11% have what they considered ‘complete’ plans. The research revealed a clear picture of the current width and depth of planning, as well as practices around updating the plans and training related to them. Within the industry there is awareness that planning for emergencies is important, but museum staff typically lack the knowledge and guidance needed to conduct effective emergency planning. As a result of the analysis, several practical suggestions are presented aimed at improving emergency planning practices in New Zealand museums. However this study has implications for museum studies and for current museum practice everywhere, as many of the recommendations for resolving the current obstacles and problems are applicable anywhere in the world, suggesting that New Zealand museums could become leaders in this important area.
In this thesis, focus is given to develop methodologies for rapidly estimating specific components of loss and downtime functions. The thesis proposes methodologies for deriving loss functions by (i) considering individual component performance; (ii) grouping them as per their performance characteristics; and (iii) applying them to similar building usage categories. The degree of variation in building stock and understanding their characteristics are important factors to be considered in the loss estimation methodology and the field surveys carried out to collect data add value to the study. To facilitate developing ‘downtime’ functions, this study investigates two key components of downtime: (i) time delay from post-event damage assessment of properties; and (ii) time delay in settling the insurance claims lodged. In these two areas, this research enables understanding of critical factors that influence certain aspects of downtime and suggests approaches to quantify those factors. By scrutinising the residential damage insurance claims data provided by the Earthquake Commission (EQC) for the 2010- 2011 Canterbury Earthquake Sequence (CES), this work provides insights into various processes of claims settlement, the time taken to complete them and the EQC loss contributions to building stock in Christchurch city and Canterbury region. The study has shown diligence in investigating the EQC insurance claim data obtained from the CES to get new insights and build confidence in the models developed and the results generated. The first stage of this research develops contribution functions (probabilistic relationships between the expected losses for a wide range of building components and the building’s maximum response) for common types of claddings used in New Zealand buildings combining the probabilistic density functions (developed using the quantity of claddings measured from Christchurch buildings), fragility functions (obtained from the published literature) and cost functions (developed based on inputs from builders) through Monte Carlo simulations. From the developed contribution functions, glazing, masonry veneer, monolithic and precast concrete cladding systems are found to incur 50% loss at inter-storey drift levels equal to 0.027, 0.003, 0.005 and 0.011, respectively. Further, the maximum expected cladding loss for glazing, masonry veneer, monolithic, precast concrete cladding systems are found to be 368.2, 331.9, 365.0, and 136.2 NZD per square meter of floor area, respectively. In the second stage of this research, a detailed cost breakdown of typical buildings designed and built for different purposes is conducted. The contributions of structural and non- structural components to the total building cost are compared for buildings of different usages, and based on the similar ratios of non-structural performance group costs to the structural performance group cost, four-building groups are identified; (i) Structural components dominant group: outdoor sports, stadiums, parkings and long-span warehouses, (ii) non- structural drift-sensitive components dominant group: houses, single-storey suburban buildings (all usages), theatres/halls, workshops and clubhouses, (iii) non-structural acceleration- sensitive components dominant group: hospitals, research labs, museums and retail/cold stores, and (iv) apartments, hotels, offices, industrials, indoor sports, classrooms, devotionals and aquariums. By statistically analysing the cost breakdowns, performance group weighting factors are proposed for structural, and acceleration-sensitive and drift-sensitive non-structural components for all four building groups. Thus proposed building usage groupings and corresponding weighting factors facilitate rapid seismic loss estimation of any type of building given the EDPs at storey levels are known. A model for the quantification of post-earthquake inspection duration is developed in the third stage of this research. Herein, phase durations for the three assessment phases (one rapid impact and two rapid building) are computed using the number of buildings needing inspections, the number of engineers involved in inspections and a phase duration coefficient (which considers the median building inspection time, efficiency of engineer and the number of engineers involved in each assessment teams). The proposed model can be used: (i) by national/regional authorities to decide the length of the emergency period following a major earthquake, and estimate the number of engineers required to conduct a post-earthquake inspection within the desired emergency period, and (ii) to quantify the delay due to inspection for the downtime modelling framework. The final stage of this research investigates the repair costs and insurance claim settlement time for damaged residential buildings in the 2010-2011 Canterbury earthquake sequence. Based on the EQC claim settlement process, claims are categorized into three groups; (i) Small Claims: claims less than NZD15,000 which were settled through cash payment, (ii) Medium Claims: claims less than NZD100,000 which were managed through Canterbury Home Repair Programme (CHRP), and (iii) Large Claims: claims above NZD100,000 which were managed by an insurance provider. The regional loss ratio (RLR) for greater Christchurch for three events inducing shakings of approximate seismic intensities 6, 7, and 8 are found to be 0.013, 0.066, and 0.171, respectively. Furthermore, the claim duration (time between an event and the claim lodgement date), assessment duration (time between the claim lodgement day and the most recent assessment day), and repair duration (time between the most recent assessment day and the repair completion day) for the insured residential buildings in the region affected by the Canterbury earthquake sequence is found to be in the range of 0.5-4 weeks, 1.5- 5 months, and 1-3 years, respectively. The results of this phase will provide useful information to earthquake engineering researchers working on seismic risk/loss and insurance modelling.
