Garry McDonald
Biographic Data
| ID | 6340490 |
|---|---|
| NAME | Garry McDonald |
| GIVEN NAMES | Garry |
| FAMILY NAME | McDonald |
| SIGNATURE | MCDONALD G |
| AFFILIATIONS | Statistics New Zealand |
| ORCID | 0000-0003-3746-4346 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1974 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Tracing cascading economic impacts of volcanic disruption through regional value chains
Volcanic eruptions pose significant risks to regional economies by disrupting local industries and their interdependent supply chains. This study examines the cascading economic consequences of a volcanic disruption scenario in the Kawerau District of New Zealand’s Bay of Plenty, a nationally significant hub for paper manufacturing. Extending the stepwise MRIO tracing framework of Patterson et al. (2011), this study integrates both upstream input…
Stay-or-relocate model (STORM)
Households are central to societal functionality and may be impacted directly or indirectly by natural hazard events, resulting in the displacement of residents. Emergency management practitioners and policy decision-makers require adaptable decision support tools capable of accounting for fine-scale variations in hazard exposure, vulnerability and demographics across the emergency response and recovery periods. Responding to this critical need, …
Integration of spatial, labour and demographic heterogeneity in a CGE to model the distributional impacts from a disaster
The United Nations highlights the need to protect underrepresented and vulnerable groups from disasters. Computable General Equilibrium (CGE) models commonly assess disaster impacts but typically aggregate agents, limiting the identification of who bears the greatest burdens. Leveraging advances in spatial hazard modelling and synthetic microdata, we integrate spatial and demographic heterogeneity into a multi-regional, recursive-dynamic CGE fram…
Navigating scientific modelling and uncertainty
Scientific models have long been used as an important tool in assisting in decision-making in Disaster Risk Management (DRM). However, it is commonly understood that uncertainty in these models significantly influences the integration of model outputs into decision-making processes, presenting a challenge for effective uncertainty communication. This paper explores how scientists in DRM approach modelling and uncertainty. We conducted seventeen i…
Accounting for economy-wide effects, risk aversion, and inequality aversion in the cost-benefit analyses of extreme events
Assessing the economic implications of land returned to the Te Hiku iwi collective, Tai Tokerau, Aotearoa New Zealand
The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events
The long-term management of natural capital is essential for the stable and resilient flow of ecosystem services for future generations facing climatic uncertainty. Understanding its resilience to extreme natural events, using biological principles, and integrating them into more holistic systems-wide modelling techniques is crucial to evaluate and design the wider economic impacts from alternative management interventions. Here we developed a pr…
Metropolitan Housing Policy and the Stress Areas
The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events
The long-term management of natural capital is essential for the stable and resilient flow of ecosystem services for future generations facing climatic uncertainty. Understanding its resilience to extreme natural events, using biological principles, and integrating them into more holistic systems-wide modelling techniques is crucial to evaluate and design the wider economic impacts from alternative management interventions. Here we developed a pr…
Metropolitan Housing Policy and the Stress Areas
The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events
The long-term management of natural capital is essential for the stable and resilient flow of ecosystem services for future generations facing climatic uncertainty. Understanding its resilience to extreme natural events, using biological principles, and integrating them into more holistic systems-wide modelling techniques is crucial to evaluate and design the wider economic impacts from alternative management interventions. Here we developed a pr…
Assessing the economic implications of land returned to the Te Hiku iwi collective, Tai Tokerau, Aotearoa New Zealand
Accounting for economy-wide effects, risk aversion, and inequality aversion in the cost-benefit analyses of extreme events
Navigating scientific modelling and uncertainty
Scientific models have long been used as an important tool in assisting in decision-making in Disaster Risk Management (DRM). However, it is commonly understood that uncertainty in these models significantly influences the integration of model outputs into decision-making processes, presenting a challenge for effective uncertainty communication. This paper explores how scientists in DRM approach modelling and uncertainty. We conducted seventeen i…
Tracing cascading economic impacts of volcanic disruption through regional value chains
Volcanic eruptions pose significant risks to regional economies by disrupting local industries and their interdependent supply chains. This study examines the cascading economic consequences of a volcanic disruption scenario in the Kawerau District of New Zealand’s Bay of Plenty, a nationally significant hub for paper manufacturing. Extending the stepwise MRIO tracing framework of Patterson et al. (2011), this study integrates both upstream input…
Stay-or-relocate model (STORM)
Households are central to societal functionality and may be impacted directly or indirectly by natural hazard events, resulting in the displacement of residents. Emergency management practitioners and policy decision-makers require adaptable decision support tools capable of accounting for fine-scale variations in hazard exposure, vulnerability and demographics across the emergency response and recovery periods. Responding to this critical need, …
Integration of spatial, labour and demographic heterogeneity in a CGE to model the distributional impacts from a disaster
The United Nations highlights the need to protect underrepresented and vulnerable groups from disasters. Computable General Equilibrium (CGE) models commonly assess disaster impacts but typically aggregate agents, limiting the identification of who bears the greatest burdens. Leveraging advances in spatial hazard modelling and synthetic microdata, we integrate spatial and demographic heterogeneity into a multi-regional, recursive-dynamic CGE fram…
Disaster Management and Resilience (4 works) · Economics (4 works) · Business (3 works) · Economic impact analysis (3 works) · Environmental planning (3 works) · Flood Risk Assessment and Management (3 works) · Geography (3 works) · Infrastructure Resilience and Vulnerability Analysis (3 works) · Computable general equilibrium (2 works) · Computer Science (2 works)