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Updated: May 22, 2025
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Assessment of Social Transmission of Food Preferences Behaviors
Published on: January 25, 2018
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Towards Regional Food Security and Food System Sustainability: Findings From a Stakeholder Cognitive Mapping Study
Ashleigh Kearns-Steed1, Rachael Glassey1, Renee Railton1
1Te Kura i Awarua (Rangahau Māori Research Centre), New Zealand Institute of Skills and Technology, EIT, Hawke's Bay, New Zealand.
Summary
Building sustainable food systems in Hawke's Bay requires community engagement and local distribution. Fostering trust between growers and consumers is key for a resilient food ecosystem.
Area of Science:
- Food systems science
- Sustainability studies
- Regional development
Background:
- Food system sustainability encompasses resilience, health, equity, and economic outcomes.
- The Hawke's Bay region in New Zealand faces challenges in developing sustainable food systems.
Purpose of the Study:
- To identify essential components for achieving sustainable food systems in Hawke's Bay.
- To understand barriers, facilitators, and interventions for a resilient regional food ecosystem.
Main Methods:
- Seventeen qualitative semi-structured interviews were conducted.
- Cognitive mapping (CM) was utilized to analyze causal links between identified themes.
- The study addressed the question: "What would it take to enhance the HB region to sustain a resilient food ecosystem to supply local people with local food?"
Main Results:
- Three critical themes emerged: community engagement, local distribution systems, and grower-consumer trust.
- Community engagement was paramount, emphasizing partnerships with local Iwi and hapū, and supporting local business models.
- Establishing efficient local distribution and repurposing surplus food were identified as crucial.
Conclusions:
- Community-centric solutions are vital for cultivating sustainable food systems.
- The findings offer insights tailored to the specific needs of the Hawke's Bay community.
- A novel framework for enhancing community engagement and local distribution was developed using cognitive mapping.
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