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Multi-capital and wellbeing dynamic value chain analysis

Project Description

The purpose of this scholarship is to encourage and support doctoral research investigating dynamic assessment of multi-capital and wellbeing value chains under coincident and cascading natural hazards events. This includes assessment of value chains through time, across space, for different socio-economic agents including households, businesses, government and not-for-profit organisations. This may include use of mixed-methods and modelling using Network Analysis, Agent-Based Modelling or System Dynamics. There is however scope to modify the project aim according to the successful candidate’s interests and expertise. This PhD research will form part of the Resilience to Nature’s Challenges National Science Challenge (NSC). The Resilience to Nature’s Challenges NSC is a ten year programme of research, currently in Year 5, focussed on building New Zealand’s resilience to natural hazards. The project is part of the “Multihazard and Risk models” (2019-2024) work programme co-led by Prof Mark Bebbington (Massey University) and Dr Garry McDonald (MEResearch). The project involves researchers from Massey University, MEResearch (Market Economics), Victoria University of Wellington, Lincoln University, NIWA, GNS Science, and Resilient Organisations. For more information please visit

The student will be based at Massey University (Palmerston North, New Zealand) supervised by Dr Garry McDonald (MEResearch) and Prof Mark Bebbington (Massey University). Support will also be available from our experienced modelling team including Dr Nicola Smith (MEResearch), Dr Emily Harvey (MEResearch) and Dr Stuart Mead (Massey University).
The scholarship will cover all tuition fees, all reasonable research costs (including travel to international conferences), and a stipend of NZ$25,000/year for three years.

Funding Notes

The successful candidate should have a Masters’ or Honours degree in preferably Ecological Economics, Institutional Economics, Environmental or Resource Economics or similar, with a strong bent towards integrated dynamic modelling and simulation of complex systems. Familiarity with multi-capital and wellbeing frameworks is an advantage.

If you are interested, please send a CV and short cover letter to Dr Garry McDonald () and Prof. Mark Bebbington ().

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