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Research Papers, Lincoln University

Tourism is New Zealand’s fourth largest industry, providing jobs for thousands of New Zealanders and significant foreign capital for the nation’s economy. Of concern to ministry and industry decision makers is the “spatial yield” of these tourists which takes into account the spatial and temporal contributions of their movements in terms of economic, cultural and environmental impacts. We have developed an agent-based model of tourism movements to simulate these impacts and to allow for the evaluation of different scenarios (such as increases in petrol prices or variations in currency exchange rates) on the behaviours of those tourists. In order to develop realistic and grounded heuristics for the model, interview protocols were developed in order to identify the key drivers in tourists’ decision making process.

Audio, Radio New Zealand

Questions to Ministers 1. Hon PHIL GOFF to the Prime Minister: Does he stand by all his statements on the privatisation of New Zealand State-owned power companies? 2. MICHAEL WOODHOUSE to the Minister of Finance: What progress has the Government made in making the tax system fairer? 3. Hon ANNETTE KING to the Prime Minister: At recent meetings he has had with Grey Power, have they raised with him their concerns about the sell-off of state assets? 4. Dr CAM CALDER to the Minister of Corrections: Has she received any reports on the rate of escape from New Zealand prisons? 5. Hon DAVID CUNLIFFE to the Minister of Finance: Why doesn't his Budget's net debt track take into account lost dividends from SOEs and sales costs arising from his policy of privatising state assets? 6. KEVIN HAGUE to the Minister of Labour: Is underground mining safe in New Zealand? 7. COLIN KING to the Minister of Transport: What progress has been made on the Christchurch Southern Motorway Road of National Significance following the earthquakes in the city? 8. Hon CLAYTON COSGROVE to the Minister for Canterbury Earthquake Recovery: How many of the 5,100 properties in the red zone have been deemed to be uneconomic to repair by the insurer and how many of those, approximately, had unimproved land valuations of less than $150,000? 9. JOHN BOSCAWEN to the Minister of Māori Affairs: Does he stand by all of his recent statements? 10. Hon TREVOR MALLARD to the Prime Minister: Further to his answers to Oral Question No 1 yesterday on the purchase of state assets by foreigners, what percentage of Contact shares are currently held by foreigners or corporations? 11. RAHUI KATENE to the Minister for the Environment: Does he agree with the statement in Ko Aotearoa Tēnei, that "direct infusion of indigenous values into mainstream environmental regulation may well be unique in the world"; if so, how will he advance the opportunities for Māori to take more positive and proactive roles in environmental decision-making? 12. NICKY WAGNER to the Minister for Social Development and Employment: What reports has she seen on the Canterbury unemployment figures?

Research papers, University of Canterbury Library

One of the great challenges facing human systems today is how to prepare for, manage, and adapt successfully to the profound and rapid changes wreaked by disasters. Wellington, New Zealand, is a capital city at significant risk of devastating earthquake and tsunami, potentially requiring mass evacuations with little or short notice. Subsequent hardship and suffering due to widespread property damage and infrastructure failure could cause large areas of the Wellington Region to become uninhabitable for weeks to months. Previous research has shown that positive health and well-being are associated with disaster-resilient outcomes. Preventing adverse outcomes before disaster strikes, through developing strengths-based skill sets in health-protective attitudes and behaviours, is increasingly advocated in disaster research, practise, and management. This study hypothesised that well-being constructs involving an affective heuristic play vital roles in pathways to resilience as proximal determinants of health-protective behaviours. Specifically, this study examined the importance of health-related quality of life and subjective well-being in motivating evacuation preparedness, measured in a community sample (n=695) drawn from the general adult population of Wellington’s isolated eastern suburbs. Using a quantitative epidemiological approach, the study measured the prevalence of key quality of life indicators (physical and mental health, emotional well-being or “Sense of Coherence”, spiritual well-being, social well-being, and life satisfaction) using validated psychometric scales; analysed the strengths of association between these indicators and the level of evacuation preparedness at categorical and continuous levels of measurement; and tested the predictive power of the model to explain the variance in evacuation preparedness activity. This is the first study known to examine multi-dimensional positive health and global well-being as resilient processes for engaging in evacuation preparedness behaviour. A cross-sectional study design and quantitative survey were used to collect self-report data on the study variables; a postal questionnaire was fielded between November 2008 and March 2009 to a sampling frame developed through multi-stage cluster randomisation. The survey response rate was 28.5%, yielding a margin of error of +/- 3.8% with 95% confidence and 80% statistical power to detect a true correlation coefficient of 0.11 or greater. In addition to the primary study variables, data were collected on demographic and ancillary variables relating to contextual factors in the physical environment (risk perception of physical and personal vulnerability to disaster) and the social environment (through the construct of self-determination), and other measures of disaster preparedness. These data are reserved for future analyses. Results of correlational and regression analyses for the primary study variables show that Wellingtonians are highly individualistic in how their well-being influences their preparedness, and a majority are taking inadequate action to build their resilience to future disaster from earthquake- or tsunami-triggered evacuation. At a population level, the conceptual multi-dimensional model of health-related quality of life and global well-being tested in this study shows a positive association with evacuation preparedness at statistically significant levels. However, it must be emphasised that the strength of this relationship is weak, accounting for only 5-7% of the variability in evacuation preparedness. No single dimension of health-related quality of life or well-being stands out as a strong predictor of preparedness. The strongest associations for preparedness are in a positive direction for spiritual well-being, emotional well-being, and life satisfaction; all involve a sense of existential meaningfulness. Spiritual well-being is the only quality of life variable making a statistically significant unique contribution to explaining the variance observed in the regression models. Physical health status is weakly associated with preparedness in a negative direction at a continuous level of measurement. No association was found at statistically significant levels for mental health status and social well-being. These findings indicate that engaging in evacuation preparedness is a very complex, holistic, yet individualised decision-making process, and likely involves highly subjective considerations for what is personally relevant. Gender is not a factor. Those 18-24 years of age are least likely to prepare and evacuation preparedness increases with age. Multidimensional health and global well-being are important constructs to consider in disaster resilience for both pre-event and post-event timeframes. This work indicates a need for promoting self-management of risk and building resilience by incorporating a sense of personal meaning and importance into preparedness actions, and for future research into further understanding preparedness motivations.