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- Genre: Case studies
- Genre: Diaries
- Creators: Grimm, Kevin J.
The Hawaiian Islands are highly reliant on imported foods for feeding residents and visitors alike. This is in part due to a shortage in food processing infrastructure locally that contributes to Hawaiʻi’s inability to process much of its own food products. This study examines the feasibility of increasing food self-sufficiency in the islands through utilizing legacy industrial fruit processing equipment recently acquired by Olohana Foundation, a small 501(c)3 non-profit in Hawaiʻi. This study asks: How can the Olohana Foundation develop their aseptic juicing line to best support increased food self-sufficiency in the islands? Additionally, how can the juicing line be re-deployed in a manner to provide sustainable economic opportunity to producers and other community members? Through interviews with Hawaiʻi food system experts, fruit grower and fruit product buyer surveys, and a review of selected Unites States Department of Agriculture National Agricultural Statistics Survey (USDA NASS) crop data for Hawaiʻi, our team evaluated the feasibility for re-establishing the juicing line. Our results found that due to the lack of available locally-produced fruits and high start-up and operational costs, it is unlikely that the juicing line can be re-established as it was previously operating, producing papaya and guava juices and purees. However, there is no shortage in demand for locally grown fruit products in Hawaiʻi and there is high interest from producers in joining a grower-owned cooperative. We conclude with several recommendations for the near, medium and long-term. In the near to medium-term, we recommend that the Foundation pursue alternative configurations of the equipment to produce niche Hawaiʻi products for which there is adequate supply, including fermented fruit products. In the long-term, the Foundation should research the potential for sourcing produce from other Pacific-region islands, as well as work at the policy and community levels to increase production of fruits locally, lower costs of production, and lower barriers to organic certification.
A Monte Carlo simulation was used to generate data based on the contextual multilevel model, where sample size, effect size, and intraclass correlation (ICC) of the predictor variable were varied. The effects of simulation factors on parameter bias, parameter variability, and standard error accuracy were assessed. Parameter estimates were in general unbiased. Power to detect the slope variance and contextual effect was over 80% for most conditions, except some of the smaller sample size conditions. Type I error rates for the contextual effect were also high for some of the smaller sample size conditions. Conclusions and future directions are discussed.